Author: "Domaine expérimental de Brunehaut (LILL MONS UE)" - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Domaine expérimental de Brunehaut (LILL MONS UE)"' showing total 29 results

Start Over Author "Domaine expérimental de Brunehaut (LILL MONS UE)"

29 results on '"Domaine expérimental de Brunehaut (LILL MONS UE)"'

1. Genome-Wide association mapping of frost tolerance in Pisum sativum

Author: Beji, Sana, Fontaine, Véronique, Devaux, R., Negro, Sandra Silvia, Bahrman, Nasser, Aubert, Gregoire, Delbreil, Bruno, Lejeune-Henaut, Isabelle, Institut Charles Viollette (ICV) - EA 7394 (ICV), Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de la Recherche Agronomique (INRA)-Université d'Artois (UA)-Institut Supérieur d'Agriculture, Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), UE : Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie, PERONNE, Mathématiques et Informatique Appliquées (MIA-Paris), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Agroécologie [Dijon], Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Université Bourgogne Franche-Comté [COMUE] (UBFC), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Legume Society., Université d'Artois (UA)-Institut National de la Recherche Agronomique (INRA)-Université du Littoral Côte d'Opale (ULCO)-Institut Supérieur d'Agriculture-Université de Lille, Institut Charles Viollette (ICV) - EA 7394 ( ICV ), Université du Littoral Côte d'Opale ( ULCO ) -Université d'Artois ( UA ) -Institut Supérieur d'Agriculture-Université de Lille-Institut National de la Recherche Agronomique ( INRA ), Domaine expérimental de Brunehaut ( LILL MONS UE ), Institut National de la Recherche Agronomique ( INRA ), Mathématiques et Informatique Appliquées ( MIA-Paris ), Institut National de la Recherche Agronomique ( INRA ) -AgroParisTech, and Institut National de la Recherche Agronomique ( INRA ) -Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Université Bourgogne Franche-Comté ( UBFC )
Subjects: [ SDV ] Life Sciences [q-bio], [SDV]Life Sciences [q-bio]
Abstract: BAP GEAPSI BAP GEAPSIBAPGEAPSI; Genome Wide Association Mapping was performed in pea. Accessions from the pea reference collection where phenotyped for frost in field and controlled conditions, and genotyped using Infinium®BeadChip 15K SNPs (Tayeh et al., 2015). After applying filters of quality control, we obtained 363 accessions and 10739 loci for GWA study. Association analyses were conducted with FaST-LMM software using a mixed model that included a relatedness kinship matrix (K) and a population structure matrix (Q) to control for false positives. The K matrix was generated using two approaches. In the first one, the kinship matrix was estimated with all the 10739 markers. In the second approach, we estimated the kinship, called “K-chr”, with all the markers other than those located on the same chromosome as the marker being tested (Rincent et al., 2014). Simulations revealed that Rincent’s approach was more powerful than the mixed model taking into account a general kinship (estimated for all chromosomes). The GWA study identified 8 loci distributed over different chromosomes comprising 61 SNPs significantly associated with frost tolerance. Results confirmed 3 QTLs that were previously mapped using bi-parental populations and identified 3 novel tolerance loci. Several potential-candidate genes were found corresponding to these SNPs. Additionally, the analyses allowed to identify haplotypes with increased frost tolerance and accessions with favourable alleles for this trait.
Published: 2016

2. Bread wheat (T. aestivum) variability: Phenotypic and genotypic data from 75 varieties

Author: Mélanie Lavoignat, Emmanuelle Bancel, Hélène Rimbert, Sandrine Bagnon, Michaël Benigna, Alain Chassin, Sandrine Berges, Annie Faye, Emmanuel Heumez, Sibille Perrochon, Larbi Rhazi, Bernard Valluis, Flavie Souply, Marie Cécile Leroux, Pascal Giraudeau, Catherine Ravel, Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), AgroParisTech, Qualtech, Institut Français de la Brasserie et de la Malterie (IFBM), Unité Expérimentale PHénotypage Au Champ des Céréales (UE1375) (PHACC), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), Transformations et Agro-ressources (UT&A), UniLaSalle, Association Nationale de la Meunerie Française (ANMF), Union Française des Semenciers (UFS), Secobra Recherches, Partenaires INRAE, and ANR-17-CE21-0009,GlutN,Blé et pains spécifiques pour résoudre la sensibilité au gluten(2017)
Subjects: Multidisciplinary, [SDV]Life Sciences [q-bio]
Abstract: International audience
Published: 2023
Full Text: View/download PDF

3. A network of long term experimental sites to include quantitative modelling of pesticides losses in the multi-criteria assessment of innovating cropping systems

Author: Benoit, Pierre, Alletto, Lionel, Gavaland, André, Giuliano, Simon, Farcy, Pascal, Leleu, Michel, Ubertosi, Marjorie, Pernel, Jérôme, Mamy, Laure, Pot-Genty, Valerie, Bedos, Carole, Colnenne-David, Caroline, Doré, Thierry, Justes, Eric, Munier-Jolain, Nathalie G., ProdInra, Archive Ouverte, Environnement et Grandes Cultures (EGC), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Agrosystèmes Cultivés et Herbagers (ARCHE), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure Agronomique de Toulouse-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Domaine expérimental d'Auzeville (UE AUZEVILLE), Institut National de la Recherche Agronomique (INRA), Dynamique des Intrants dans les Agro-écosystèmes - UMR 1248 AGIR INRA / INPT, Institut National Polytechnique (Toulouse) (Toulouse INP), Domaine expérimental d'Époisses (DIJ EPOISSES), Domaine expérimental de Brunehaut (LILL MONS UE), Agroécologie [Dijon], Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Agro-Transfert Ressources et Territoires, UR 0251 Physico-chimie et Ecotoxicologie des Sols d'agrosystèmes contaminés, Institut National de la Recherche Agronomique (INRA)-Santé des plantes et environnement (S.P.E.)-Environnement et Agronomie (E.A.)-Physico-chimie et Ecotoxicologie des Sols d'agrosystèmes contaminés (PESSAC), Agronomie, Environnement et Grandes Cultures ( EGC ), AgroParisTech-Institut National de la Recherche Agronomique ( INRA ), Agrosystèmes Cultivés et Herbagers ( ARCHE ), Institut National Polytechnique [Toulouse] ( INP ) -Institut National de la Recherche Agronomique ( INRA ) -Ecole Nationale Supérieure Agronomique de Toulouse, Domaine expérimental d'Auzeville ( UE AUZEVILLE ), Institut National de la Recherche Agronomique ( INRA ), Institut National Polytechnique [Toulouse] ( INP ), Domaine expérimental d'Époisses ( DIJ EPOISSES ), Domaine expérimental de Brunehaut ( LILL MONS UE ), Institut National de la Recherche Agronomique ( INRA ) -Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Institut National de la Recherche Agronomique ( INRA ) -Santé des plantes et environnement ( S.P.E. ) -Environnement et Agronomie ( E.A. ) -Physico-chimie et Ecotoxicologie des Sols d'agrosystèmes contaminés ( PESSAC ), Institut National de la Recherche Agronomique ( INRA ) -AgroParisTech, Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National Polytechnique (Toulouse) (Toulouse INP), AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Domaine expérimental d'Époisses - UE0115 U2E (DIJ EPOISSES), and Institut National de la Recherche Agronomique (INRA)-AgroParisTech
Subjects: [SDV] Life Sciences [q-bio], [ SDV ] Life Sciences [q-bio], [SDV]Life Sciences [q-bio]
Abstract: absent
Published: 2013

4. A high-density genetic map of the Medicago truncatula major freezing tolerance QTL on chromosome 6 reveals colinearity with a QTL related to freezing damage on Pisum sativum linkage group VI

Author: Jean-Marie Prosperi, Isabelle Lejeune-Hénaut, Bruno Delbreil, Nasser Bahrman, Nadim Tayeh, Rosemonde Devaux, Aurélie Bluteau, Agroécologie [Dijon], Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Stress Abiotiques et Différenciation des Végétaux Cultivés (SADV), Institut National de la Recherche Agronomique (INRA)-Université de Lille, Sciences et Technologies, Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), UMR 1281 SADV, Amélioration génétique et adaptation des plantes méditerranéennes et tropicales (UMR AGAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut National de la Recherche Agronomique ( INRA ) -Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Stress Abiotiques et Différenciation des Végétaux Cultivés ( SADV ), Institut National de la Recherche Agronomique ( INRA ) -Université de Lille, Sciences et Technologies, Domaine expérimental de Brunehaut ( LILL MONS UE ), Institut National de la Recherche Agronomique ( INRA ), Amélioration génétique et adaptation des plantes méditerranéennes et tropicales ( UMR AGAP ), Institut national de la recherche agronomique [Montpellier] ( INRA Montpellier ) -Centre international d'études supérieures en sciences agronomiques ( Montpellier SupAgro ) -Centre de Coopération Internationale en Recherche Agronomique pour le Développement ( CIRAD ) -Institut national d’études supérieures agronomiques de Montpellier ( Montpellier SupAgro ), Université de Lille, Sciences et Technologies-Institut National de la Recherche Agronomique (INRA), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), and Delbreil, Bruno
Subjects: 0106 biological sciences, [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, [ SDV.BV ] Life Sciences [q-bio]/Vegetal Biology, carte génétique, lotus-japonicus, Glycine max, [ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition, Plant Science, winter hardiness, 01 natural sciences, genomic, Sativum, Biologie de la reproduction, Medicago, Quantitative trait locus (QTL), [ SDV.SA ] Life Sciences [q-bio]/Agricultural sciences, Genetics, Reproductive Biology, 0303 health sciences, Vegetal Biology, biology, truncatula, food and beverages, frost tolerance, medicago truncatula, legume, congelation, Medicago truncatula, Agricultural sciences, [ SDV.BDLR ] Life Sciences [q-bio]/Reproductive Biology, Alimentation et Nutrition, Biotechnology, Freezing tolerance, Quantitative trait locus, légumineuse, Synteny, Pisum, 03 medical and health sciences, vicia-faba, Botany, evolution, Food and Nutrition, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, Molecular Biology, Pisum sativum, 030304 developmental biology, Whole genome sequencing, stress abiotique, quantitative trait loci, seed weight, locations, model, Abiotic stress, Chromosome, [SDV.BDLR]Life Sciences [q-bio]/Reproductive Biology, biology.organism_classification, génie génétique, Agronomy and Crop Science, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, Sciences agricoles, Biologie végétale, 010606 plant biology & botany
Abstract: Freezing is one of the most serious abiotic stress factors that affect cool-season legumes. It limits species geographic distribution and causes severe yield losses. Improving tolerance to freezing has long been a main concern for legume breeders. Medicago truncatula Gaertn. has been selected as a model species for legume biology. Various studies have shown significant macrosynteny between M. truncatula and agronomically important crop legumes. A major freezing tolerance quantitative trait locus (QTL), herein referred to as Mt-FTQTL6, was previously identified on M. truncatula chromosome 6. The physical location of this QTL was determined in this study and its corresponding chromosomal interval was enriched with additional markers. Markers were first developed using the draft sequence of M. truncatula euchromatin (release versions Mt3.0 and Mt3.5). Because Mt-FTQTL6 was found to coincide with an assembly gap, the Glycine max (L.) Merr. genome sequence was also used to generate markers. Five Mt-FTQTL6-linked markers were found to be common to a region on Pisum sativum L. linkage group VI harboring a QTL for freezing damage. A subset of markers was tested for transferability across 11 additional legume species. This study lays the groundwork for identifying the molecular basis of Mt-FTQTL6. Cross-legume markers will be useful in future efforts aiming to investigate the conservation of Mt-FTQTL6 in cool-season legumes and subsequently the existence of common mechanisms for response to freezing between M. truncatula and crop legumes.
Published: 2013
Full Text: View/download PDF

5. Phenomic selection in wheat breeding: prediction of the genotype-by-environment interaction in multi-environment breeding trials

Author: Pauline Robert, Ellen Goudemand, Jérôme Auzanneau, François-Xavier Oury, Bernard Rolland, Emmanuel Heumez, Sophie Bouchet, Antoine Caillebotte, Tristan Mary-Huard, Jacques Le Gouis, Renaud Rincent, Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) (GQE-Le Moulon), AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Agri-obtention (AO), SAS Florimond Desprez Veuve and Fils, Partenaires INRAE, Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Université de Rennes (UR)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Rennes Angers, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), MIA, and ANRT, Grant Number 2019/0060)
Subjects: Genotype, Models, Genetic, [SDV]Life Sciences [q-bio], General Medicine, Phenomic selection (PS), Plant breeding, Multi-Environment Trial (MET), Triticum aestivum.Bread wheat, [SDV.GEN.GPL]Life Sciences [q-bio]/Genetics/Plants genetics, [SDV.BV.AP]Life Sciences [q-bio]/Vegetal Biology/Plant breeding, Phenotype, Near infrared spectroscopy (NIRS), Genetics, Genomic selection (GS), Gene-Environment Interaction, Genotype by environment interaction (GxE), Phenomics, Selection, Genetic, Edible Grain, Agronomy and Crop Science, Genome, Plant, Triticum, Biotechnology
Abstract: International audience; Key message Phenomic prediction of wheat grain yield and heading date in different multi-environmental trial scenarios is accurate. Modelling the genotype-by-environment interaction effect using phenomic data is a potentially low-cost complement to genomic prediction. The performance of wheat cultivars in multi-environmental trials (MET) is difficult to predict because of the genotype-by-environment interactions (G x E). Phenomic selection is supposed to be efficient for modelling the G x E effect because it accounts for non-additive effects. Here, phenomic data are near-infrared (NIR) spectra obtained from plant material. While phenomic selection has recently been shown to accurately predict wheat grain yield in single environments, its accuracy needs to be investigated for MET. We used four datasets from two winter wheat breeding programs to test and compare the predictive abilities of phenomic and genomic models for grain yield and heading date in different MET scenarios. We also compared different methods to model the G x E using different covariance matrices based on spectra. On average, phenomic and genomic prediction abilities are similar in all different MET scenarios. Better predictive abilities were obtained when G x E effects were modelled with NIR spectra than without them, and it was better to use all the spectra of all genotypes in all environments for modelling the G x E. To facilitate the implementation of phenomic prediction, we tested MET designs where the NIR spectra were measured only on the genotype-environment combinations phenotyped for the target trait. Missing spectra were predicted with a weighted multivariate ridge regression. Intermediate predictive abilities for grain yield were obtained in a sparse testing scenario and for new genotypes, which shows that phenomic selection is an efficient and practicable prediction method for dealing with G x E.
Published: 2022
Full Text: View/download PDF

6. Conventional versus organic farming systems: dissecting comparisons to improve cereal organic breeding strategies

Author: Emmanuel Heumez, Francois-Xavier Oury, Antonin Le Campion, Bernard Rolland, Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Institut National de la Recherche Agronomique (INRA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Génétique Diversité et Ecophysiologie des Céréales (GDEC), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), AGROCAMPUS OUEST-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Recherche Agronomique (INRA), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de la Recherche Agronomique (INRA), Université de Rennes (UR)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest, Le Campion, Antonin, and Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP)
Subjects: Agroecosystem, Yield, cereal, [SDV]Life Sciences [q-bio], rendement, Organic management, Agricultural engineering, 010501 environmental sciences, Small-grain cereals, Breeding strategy, Conventional agriculture, Organic agriculture, Low-input managements, 01 natural sciences, céréale, Organic systems, Management indicators, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, 2. Zero hunger, Sustainable development, business.industry, agriculture conventionnelle, 04 agricultural and veterinary sciences, conventional agriculture, yields catches, Work (electrical), Agriculture, 040103 agronomy & agriculture, Organic farming, 0401 agriculture, forestry, and fisheries, Business, General Agricultural and Biological Sciences
Abstract: International audience; “Conventional” and “organic” farming systems have been compared in many studies. However, the lack of concern about the diversity of both conventional and organic farming systems can be imputed to the oft-quoted methodological difficulties of comparing conventional and organic systems. Indeed, the analysis of articles on genotype performance of small-grain cereals under conventional and organic management strategies revealed that there are significant variations in input levels within conventional systems and within organic farming. In addition, this could lead to conflicting results when attempting to identify the best breeding strategies for organic management systems. To boost breeding activities for the organic sector, our proposal is the establishment of an international classification of agroecosystem managements based on recognized agro-climatic and management indicators. Management classifications are proposed for both conventional and organic management strategies. This work would facilitate the sharing of new results among agronomists and breeders for designing adapted and efficient organic breeding strategies.
Published: 2020
Full Text: View/download PDF

7. Bread-making quality predictions of multi-trait assisted genomic selection

Author: Sarah Ben Sadoun, Renaud Rincent, Jerome Auzanneau, Francois-Xavier Oury, Bernard Rolland, Emmanuel Heumez, Catherine Ravel, Gilles Charmet, Sophie Bouchet, Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Agri Obtentions (AO), Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Institut National de la Recherche Agronomique (INRA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), International Wheat Congress, Wheat inititive, and Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-AGROCAMPUS OUEST
Subjects: [SDV]Life Sciences [q-bio], [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, breadmaking, sélection génomique, blé panifiable, ComputingMilieux_MISCELLANEOUS, genomic selection, panification
Abstract: International audience
Published: 2019

8. Bread-making quality predictions: multi-trait assisted genomic selection in bread wheat

Author: Sarah Ben Sadoun, Renaud Rincent, Jerome Auzanneau, Francois-Xavier Oury, Bernard Rolland, Emmanuel Heumez, Catherine Ravel, Gilles Charmet, Sophie Bouchet, Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Agri-Obtentions, Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Institut National de la Recherche Agronomique (INRA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Agri Obtentions (AO), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Gordon Research Conference., Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de la Recherche Agronomique (INRA), and Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-AGROCAMPUS OUEST
Subjects: [SDV]Life Sciences [q-bio], digestive, oral, and skin physiology, food and beverages, breadmaking, sélection génomique, blé panifiable, genomic selection, panification
Abstract: Bread-making quality predictions: multi-trait assisted genomic selection in bread wheat. "Quantitative Genetics and Genomics" Gordon Research Conference
Published: 2019

9. Évaluation multicritère de systèmes de culture zéro-pesticides en grande culture et polyculture-élevage (Réseau Rés0Pest)

Author: Cellier, Vincent, Berthier, Alain, Colnenne-David, Caroline, Darras, Sébastien, Deytieux, Violaine, Savoie, Antoine, Aubertot, Jean-Noel, Domaine expérimental d'Époisses (DIJ EPOISSES), Institut National de la Recherche Agronomique (INRA), Agronomie, AgroParisTech-Institut National de la Recherche Agronomique (INRA), Domaine expérimental de Brunehaut (LILL MONS UE), Unité Expérimentale de Physiologie Animale de l‘Orfrasiére (Unité Expérimentale de Physiologie Animale de l‘Orfrasiére - UE PAO), UMR : AGroécologie, Innovations, TeRritoires, Ecole Nationale Supérieure Agronomique de Toulouse, Domaine expérimental d'Époisses - UE0115 U2E (DIJ EPOISSES), Unité Expérimentale de Physiologie Animale de l‘Orfrasiére (UE PAO), AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées
Subjects: expérimentation système, régulation biologique, évaluation, [SDV]Life Sciences [q-bio], agroécologie, conception, réseau d’expérimentations, trialnetwork, system experiment, agroecology, cropping system design, cropping system assessment, biological regulations
Abstract: Dans le cadre du plan Ecophyto, un réseau d’expérimentations système a été mis en place en France métropolitaine, avec pour objectif de concevoir et d’évaluer des systèmes de culture sans pesticides. Les systèmes ont été mis en place dans des situations variées (différents climats, types de sol, filières) et concernent les grandes cultures et la polyculture élevage. Une évaluation multicritère (Criter 5.4, MASC 2.0) a été conduite sur la période 2013-2017. On n’observe pas de dégradation de la capacité productive à long-terme, ni de la qualité sanitaire des récoltes et la contribution au développement durable des huit systèmes testés est considérée «faible à moyenne» pour la polyculture élevage et «moyenne à élevée» à «élevée» pour la grande culture. La durabilité environnementale est « élevée » à «très élevée» pour tous les systèmes et c’est la durabilité sociale qui est la moins favorable en raison d’une «très faible» contribution à l’emploi. La rentabilité montre de fortes différences entre systèmes, allant de « très faible » à « très élevée » mais aucune valorisation économique particulière des récoltes produites sans pesticides n’a été appliquée. Les résultats présentés débouchent sur de nouvelles perspectives pour une réduction significative de l’utilisation des pesticides en France., In the framework of Ecophyto, a network of eight system experiments was set up in order to design and assess pesticide-free cropping systems in the main French agricultural areas. The tested cropping systems cover a wide range of production situations (different climates, soils and agricultural sectors) for arable crop and multicrop-livestock farming. A multi-criteria analysis (Criter 5.4 and MASC 2.0) was conducted to assess the overall sustainability of the eight tested cropping systems over the 2013-2017 period. We observe neither degradation of the long-term productive capacity nor degradation of the sanitary quality of the harvests The overall sustainability of the eight cropping systems was assessed as “low to medium” for the multicrop-livestock systems, and “medium to high” to “high” for the arable cropping systems. The environmental sustainability is "high" to "very-high" for all systems and the less favourable sustainability is the social one because of a "very low" contribution to employment. The profitability shows strong differences between systems, going from “very low" to "very high" but no particular economic valuation of the harvests produced without pesticides was applied. The presented results draw new perspectives towards a major reduction of pesticide use in France.
Published: 2018
Full Text: View/download PDF

10. Projet SYSTEM-ECO4 : Évaluation de systèmes de grandes cultures à faible usage de pesticides

Author: Munier-Jolain, Nicolas, Abgrall, Maïwen, Adeux, Guillaume, Alletto, Lionel, Bonnet, Catherine, cordeau, Stéphane, Darras, Sébastien, Deswarte, Cyrielle, Farcy, Pascal, Gavaland, André, Justes, Eric, Sciara, Giuliano, Meunier, Dominique, Pernelle, Julie, Raffaillac, Didier, Gleizes, Benoit, Tison, Gilles, Ubertosi, Marjorie, Agroécologie [Dijon], Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Université Bourgogne Franche-Comté [COMUE] (UBFC), Ecole d'Ingénieurs de Purpan (INPT - EI Purpan), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Chambre Régionale d'Agriculture d'Occitanie (CRA Occitanie), UMR : AGroécologie, Innovations, TeRritoires, Ecole Nationale Supérieure Agronomique de Toulouse, Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), Domaine expérimental d'Époisses (DIJ EPOISSES), Fonctionnement et conduite des systèmes de culture tropicaux et méditerranéens (UMR SYSTEM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Agro-Transfert Ressources et Territoires, Domaine expérimental d'Auzeville (UE AUZEVILLE), Université de Bourgogne (UB)-Institut National de la Recherche Agronomique (INRA)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Domaine expérimental d'Époisses - UE0115 U2E (DIJ EPOISSES), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Subjects: F08 - Systèmes et modes de culture, lysimètre, [SDV]Life Sciences [q-bio], H02 - Pesticides, H60 - Mauvaises herbes et désherbage, Performance de culture, Pollution par l'agriculture, Désherbage, adventices, système de culture, multiperfor mance, protection intégrée, Eau de drainage, Herbicide, P02 - Pollution, Mauvaise herbe
Abstract: National audience; 19 prototypes de systèmes de culture ont été testés sur quatre sites contrastés (Picardie, Bourgogne et deux sites dans la région de Toulouse). Ces systèmes de grandes cultures ont été conçus selon les principes de Protection Intégrée pour limiter l’usage des pesticides en général et des herbicides en particulier. Les combinaisons de leviers alternatifs ont permis de gérer durablement la flore adventice avec peu d’herbicides, et de baisser l’usage de l’ensemble des pesticides. Certains systèmes permettent de concilier faible IFT et bonne performance économique. Trois sites ont été instrumentés pour collecter des eaux de drainage et mesurer les transferts de substances actives. Ces dispositifs ont permis d’établir un lien entre les IFT cumulés et les quantités de substance transférées dans les eaux, à l’échelle d’un site et sur trois années de mesure, confirmant ainsi le lien entre l’usage de pesticides et leur impact. Les prototypes fondés sur le semis direct ont été décevants: ils ont nécessité beaucoup d’herbicides pour maîtriser les adventices, les quantités de substances actives transférées sous ces parcelles ont été importantes, et les performances économiques ont été moyennes.
Published: 2018
Full Text: View/download PDF

11. Saccharification Performances of Miscanthus at the Pilot and Miniaturized Assay Scales: Genotype and Year Variabilities According to the Biomass Composition

Author: Brigitte Chabbert, Stéphanie Arnoult, Jean-Paul Charpentier, Nassim Belmokhtar, Maryse Brancourt-Hulmel, Unité de recherche Amélioration, Génétique et Physiologie Forestières (UAGPF), Institut National de la Recherche Agronomique (INRA), Domaine expérimental de Brunehaut (LILL MONS UE), Fractionnement des AgroRessources et Environnement - UMR-A 614 (FARE), Université de Reims Champagne-Ardenne (URCA)-Institut National de la Recherche Agronomique (INRA)-SFR Condorcet, Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS)-Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Unité d'Agronomie de Laon-Reims-Mons (AGRO-LRM), Futurol (BPI France) 2010-2016, Université de Reims Champagne-Ardenne (URCA)-SFR Condorcet, Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS)-Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA), Unité de recherche Amélioration, Génétique et Physiologie Forestières (AGPF), Fractionnement des AgroRessources et Environnement (FARE), Université de Reims Champagne-Ardenne (URCA)-Institut National de la Recherche Agronomique (INRA), and Agroressources et Impacts environnementaux (AgroImpact)
Subjects: 0106 biological sciences, [SDV]Life Sciences [q-bio], Biomass, Miscanthus sinensis, 02 engineering and technology, Plant Science, biomasse lignocellulosique, 7. Clean energy, 01 natural sciences, chemistry.chemical_compound, date de récolte, 0202 electrical engineering, electronic engineering, information engineering, Lignin, Original Research, 2. Zero hunger, biology, criblage à haut debit, genotypic diversity, Miscanthus, pretreatment, Pulp and paper industry, lignine, cellulose, production de biomasse, genêtic variation, variation genotypique, Cellulosic ethanol, diversité génétique, prétraitement, génotype, paroi cellulaire, 020209 energy, hémicellulose, lignin, lcsh:Plant culture, hemicelluloses, Hydrolysis, pilot-scale pretreatment and saccharification, Enzymatic hydrolysis, Botany, pilot-scale pretreatment ansd saccharification, lcsh:SB1-1110, Cellulose, harvesting year, high-throughput pretreatment and saccharification, biology.organism_classification, miscanthus, hemicellulose, saccharification, chemistry, cell wall, variabilité temporelle, harvesting date, 010606 plant biology & botany
Abstract: HIGHLIGHTS Biomass production and cell wall composition are differentially impacted by harvesting year and genotypes, influencing then cellulose conversion in miniaturized assay. Using a high-throughput miniaturized and semi-automated method for performing the pretreatment and saccharification steps at laboratory scale allows for the assessment of these factors on the biomass potential for producing bioethanol before moving to the industrial scale. The large genetic diversity of the perennial grass miscanthus makes it suitable for producing cellulosic ethanol in biorefineries. The saccharification potential and year variability of five genotypes belonging to Miscanthus × giganteus and Miscanthus sinensis were explored using a miniaturized and semi-automated method, allowing the application of a hot water treatment followed by an enzymatic hydrolysis. The studied genotypes highlighted distinct cellulose conversion yields due to their distinct cell wall compositions. An inter-year comparison revealed significant variations in the biomass productivity and cell wall compositions. Compared to the recalcitrant genotypes, more digestible genotypes contained higher amounts of hemicellulosic carbohydrates and lower amounts of cellulose and lignin. In contrast to hemicellulosic carbohydrates, the relationships analysis between the biomass traits and cellulose conversion clearly showed the same negative effect of cellulose and lignin on cellulose digestion. The miniaturized and semi-automated method we developed was usable at the laboratory scale and was reliable for mimicking the saccharification at the pilot scale using a steam explosion pretreatment and enzymatic hydrolysis. Therefore, this miniaturized method will allow the reliable screening of many genotypes for saccharification potential. These findings provide valuable information and tools for breeders to create genotypes combining high yield, suitable biomass composition, and high saccharification yields.
Published: 2017
Full Text: View/download PDF

12. From selection to cultivation with the support of all stakeholders: the first registration in France of two winter bread wheat varieties after value for cultivation and use evaluation in organic farming systems

Author: Patrice Walczak, A. Le Campion, Olivier Gardet, L. Fontaine, Francois-Xavier Oury, Emmanuel Heumez, A. Mailliard, Bernard Rolland, Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-AGROCAMPUS OUEST, Institut Technique de l'Agriculture Biologique (ITAB), SEV, Groupe d'Etudes et de Contrôle des Variétés et des Semences (GEVES), Agri Obtentions (AO), Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), Fourrages Environnement Ruminants Lusignan (FERLUS), Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), AGROCAMPUS OUEST-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Recherche Agronomique (INRA), Agri-Obtentions, UE 1373 Fourrages Environnement Ruminants Lusignan, Institut National de la Recherche Agronomique (INRA)-Physiologie Animale et Systèmes d'Elevage (PHASE), Institut National de la Recherche Agronomique (INRA)-Environnement et Agronomie (E.A.)-Biologie et Amélioration des Plantes (BAP)-Fourrages Environnement Ruminants Lusignan (FERLUS), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de la Recherche Agronomique (INRA), Institut National de la Recherche Agronomique (INRA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Subjects: 0106 biological sciences, [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, Cash crop, 01 natural sciences, Agricultural science, winter bread wheat, organic farming, plant breeding, Production (economics), Plant breeding, Cultivar, 2. Zero hunger, Sustainable development, business.industry, value for cultivation and use (VCU), 04 agricultural and veterinary sciences, 15. Life on land, variety, Agronomy, Intensive crop farming, Agriculture, 040103 agronomy & agriculture, Organic farming, 0401 agriculture, forestry, and fisheries, General Agricultural and Biological Sciences, business, 010606 plant biology & botany
Abstract: International audience; Winter bread wheat is the most important cash crop for French organic farmers. The choice of its varieties farmers cultivate is therefore very important. Most of the available varieties were initially bred for intensive “conventional” farming systems (with high inputs of mineral fertilizers and pesticides). Thus, screening current and novel varieties for organic conditions is necessary to identify varieties suitable for organic farming conditions in a short-term experiment. After 18 years of breeding and screening in a combination of both low input and organic crop management systems, the two pure lines Hendrix and Skerzzo were registered in the official French catalogue with the special mention “organic farming.” The acreages of commercial seed production to be sold to organic farmers continuously increased from 120, 139 to 160 ha in 2013, 2014, and 2015, respectively. This successful process was made possible due to the support of the whole agricultural organic economic sector associated with the initiative.
Published: 2017
Full Text: View/download PDF

13. Bread wheat milling behavior: effects of genetic and environmental factors, and modeling using grain mechanical resistance traits

Author: Joel Abecassis, Emmanuel Heumez, Valerie Lullien-Pellerin, Bernard Rolland, Arnaud Dubat, C. Bar L’Helgouac’h, Francois-Xavier Oury, C. Michelet, Olivier Gardet, M. Rousset, Privat Lasme, Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Ingénierie des Agro-polymères et Technologies Émergentes (UMR IATE), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Union Française des Semenciers (UFS), Chopin Technologies, Agri-Obtentions, Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), Institut de Génétique, Environnement et Protection des Plantes (IGEPP), AGROCAMPUS OUEST-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Recherche Agronomique (INRA), Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) (GQE-Le Moulon), Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Université Paris-Sud - Paris 11 (UP11)-Institut National de la Recherche Agronomique (INRA), ARVALIS - Institut du végétal [Paris], FSOV (Fonds de Soutien a l'Obtention Vegetale) 2007-2010, research consortium 'Valeur Meuniere II', Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Agri Obtentions (AO), Institut National de la Recherche Agronomique (INRA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-AGROCAMPUS OUEST, Institut National de la Recherche Agronomique (INRA)-Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), a CIFRE PhD grant, and Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)
Subjects: 0106 biological sciences, Yield (engineering), ble tendre, Flour, Biology, Environment, Genes, Plant, 01 natural sciences, Endosperm, wheat flour, Protein content, Grain weight, 0404 agricultural biotechnology, Hardness, [SDV.IDA]Life Sciences [q-bio]/Food engineering, Genetics, strength of materials, Food science, grain de blé, Alleles, Triticum, 2. Zero hunger, Models, Genetic, digestive, oral, and skin physiology, technology, industry, and agriculture, food and beverages, 04 agricultural and veterinary sciences, General Medicine, Mechanical resistance, 040401 food science, farine de blé, résistance mécanique, Test weight, Nitrogen fertilizer, Agronomy, soft wheat, mouture, Seeds, milling, Edible Grain, Agronomy and Crop Science, 010606 plant biology & botany, Biotechnology
Abstract: International audience; Genetic (Pinb-D1 alleles) and environment (through vitreousness) have important effects on bread wheat milling behavior. SKCS optimal values corresponding to soft vitreous or hard mealy grains were defined to obtain the highest total flour yield.Near-isogenic lines of bread wheat that differ in hardness, due to distinct puroindoline-b alleles (the wild type, Pinb-D1a, or the mutated forms, Pinb-D1b or Pinb-D1d), were grown in different environments and under two nitrogen fertilization levels, to study genetic and environmental effects on milling behavior. Milling tests used a prototype mill, equipped with two break steps, one sizing step, and two reduction steps, and this enabled 21 individual or aggregated milling fractions to be collected. Four current grain characters, thousand grain weight, test weight, grain diameter, and protein content, were measured, and three characters known to influence grain mechanical resistance, NIRS hardness, SKCS hardness index, and grain vitreousness (a character affecting the grain mechanical behavior but generally not studied). As expected, the wild type or mutated forms of Pinb-D1 alleles led to contrasted milling behavior: soft genotypes produced high quantities of break flour and low quantities of reduction flour, whereas reverse quantities were observed for hard genotypes. This different milling behavior had only a moderate influence on total flour production. NIRS hardness and vitreousness were, respectively, the most important and the second most important grain characters to explain milling behavior. However, contrary to NIRS hardness, vitreousness was only involved in endosperm reduction and not in the separation between the starchy endosperm and the outer layers. The highest flour yields were obtained for SKCS values comprised between 30 and 50, which corresponded either to soft vitreous or hard mealy grains. Prediction equations were defined and showed a good accuracy estimating break and reduction flours portions, but should be used more cautiously for total flour.
Published: 2017
Full Text: View/download PDF

14. Transfer of a miniaturized method for high-throughput screening of biomass pretreatment and saccharification and application on poplar and miscanthus clones

Author: Belmokhtar, Nassim, Segura, Vincent, Chabbert, Brigitte, Boizot, Nathalie, Ader, Kévin, ARNOULT-CARRIER, Stéphanie, Brancourt, Maryse, Bastien, Jean-Charles, Bastien, Catherine, Charpentier, Jean-Paul, Unité de recherche Amélioration, Génétique et Physiologie Forestières (AGPF), Institut National de la Recherche Agronomique (INRA), Fractionnement des AgroRessources et Environnement (FARE), Université de Reims Champagne-Ardenne (URCA)-Institut National de la Recherche Agronomique (INRA), Domaine expérimental de Brunehaut (LILL MONS UE), Agroressources et Impacts environnementaux (AgroImpact), Unité de recherche Amélioration, Génétique et Physiologie Forestières (UAGPF), Fractionnement des AgroRessources et Environnement - UMR-A 614 (FARE), Université de Reims Champagne-Ardenne (URCA)-Institut National de la Recherche Agronomique (INRA)-SFR Condorcet, Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS)-Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Unité d'Agronomie de Laon-Reims-Mons (AGRO-LRM), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), and projet Futurol
Subjects: [SDV.BIO]Life Sciences [q-bio]/Biotechnology, Vegetal Biology, [SDV]Life Sciences [q-bio], Biotechnologies, haut débit, populus, Miscanthus, pretreatment, Saccharification, saccharification, biomass, high-throughput, poplar, miscanthus, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, biomasse, prétraitement, Biomass, ComputingMilieux_MISCELLANEOUS, Biologie végétale, Poplar
Abstract: CT2 ; Département BAP; Transfer of a miniaturized method for high-throughput screening of biomass pretreatment and saccharification and application on poplar and miscanthus clones. Exploring lignocellulosic biomass
Published: 2016

15. A proteomic approach to decipher chilling response from cold acclimation in pea (Pisum sativum L.)

Author: Isabelle Lejeune-Hénaut, Bruno Delbreil, Christophe Vuylsteker, Nasser Bahrman, Estelle Goulas, Benoît Valot, Hélène Sellier, Jean-Louis Hilbert, Estelle Dumont, Université des Sciences et Technologies (Lille 1) (USTL), Stress Abiotiques et Différenciation des Végétaux Cultivés (SADV), Université de Lille, Sciences et Technologies-Institut National de la Recherche Agronomique (INRA), Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) (GQE-Le Moulon), Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Université Paris-Sud - Paris 11 (UP11)-Institut National de la Recherche Agronomique (INRA), Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), IFR87 'la plante et son environnement', Region Ile-de-France, INRA, CNRS, Universite Paris Sud, Genoplante, Plan Etat-Region, and French Ministere de la Jeunesse, de l'Education Nationale et de la Recherche
Subjects: Proteomics, EXPRESSION, 0106 biological sciences, Proteome, PROTEINS, [SDV]Life Sciences [q-bio], Defence mechanisms, Cold acclimation, Plant Science, Photosynthesis, TEMPERATURE-INDUCED GENE, 01 natural sciences, Pisum, 03 medical and health sciences, Sativum, Gene Expression Regulation, Plant, Botany, Genetics, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, RICE SEEDLINGS, TOLERANCE, Chilling, Pisum sativum, 030304 developmental biology, 2. Zero hunger, 0303 health sciences, biology, STRESS RESPONSES, Abiotic stress, Peas, food and beverages, General Medicine, 15. Life on land, biology.organism_classification, eye diseases, Cold Temperature, Plant Leaves, PLASMA-MEMBRANE, [SDE]Environmental Sciences, ARABIDOPSIS-THALIANA, SHORT-TERM, 2-D PAGE, Frost (temperature), Agronomy and Crop Science, 010606 plant biology & botany
Abstract: Publication Inra prise en compte dans l'analyse bibliométrique des publications scientifiques mondiales sur les Fruits, les Légumes et la Pomme de terre. Période 2000-2012. http://prodinra.inra.fr/record/256699; International audience; Two pea lines (Pisum sativum L) with contrasted behaviours towards chilling and subsequent frost were studied by a proteomic approach to better understand cold acclimation. Following a chilling period, the Champagne line becomes tolerant to frost whereas Terese remains sensitive. Variance analysis allowed to select 260 statistically variable spots with 68 identified proteins (35 in leaves, 18 in stems, and 15 in roots). These proteins were shared out in proteins related to chilling response or cold acclimation. The better adaptation of Champagne to chilling might be related to a higher content in proteins involved in photosynthesis and in defence mechanisms. Moreover Champagne might prevent freezing damage particularly thanks to a higher constitutive expression of housekeeping proteins related to Terese. After three days of subsequent frost, proteomes of previously chilled plants also showed significant differences compared to unchilled plants. Out of 112 statistically variable spots (44 in leaves, 38 in stems, and 30 in roots), 32 proteins were identified. These proteins were related to frost response or frost resistance. It seems that Champagne could resist to frost with the reorientation of the energy metabolism. (C) 2010 Elsevier Ireland Ltd. All rights reserved.
Published: 2011
Full Text: View/download PDF

16. A single and robust critical nitrogen dilution curve for miscanthus × giganteus and Miscanthus sinensis

Author: Maryse Brancourt-Hulmel, L. Fingar, Bruno Mary, M. Zapater, M. Ollier, Loïc Strullu, Frédéric Dubois, Manuella Catterou, Emilie Mignot, Fabien Ferchaud, UR 1158 AgroImpact Agroressources et Impacts environnementaux, Institut National de la Recherche Agronomique (INRA), Ecologie et Dynamique des Systèmes Anthropisés (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), UR 1158 AgroImpact Agroressources et Impacts environnementaux. Centre de recherche Nord-Picardie-Champagne, Domaine expérimental de Brunehaut (LILL MONS UE), Agroressources et Impacts environnementaux (AgroImpact), Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), and Centre National de la Recherche Scientifique (CNRS)-Université de Picardie Jules Verne (UPJV)
Subjects: 0106 biological sciences, 020209 energy, [SDV]Life Sciences [q-bio], chemistry.chemical_element, Biomass, Miscanthus sinensis, 02 engineering and technology, engineering.material, 7. Clean energy, 01 natural sciences, Miscanthus x giganteus, Bioenergy, 0202 electrical engineering, electronic engineering, information engineering, Miscanthus giganteus, 2. Zero hunger, biology, Renewable Energy, Sustainability and the Environment, Miscanthus, 15. Life on land, biology.organism_classification, Nitrogen, Agronomy, chemistry, Critical nitrogen dilution curve, Shoot, engineering, Nitrogen requirements, Fertilizer, Agronomy and Crop Science, 010606 plant biology & botany, Energy (miscellaneous)
Abstract: CT2 ; EnjS1 ; Département EA; The sustainable development of miscanthus as a bioenergy feedstock requires optimizing its fertilizer inputs and, therefore, determining its nitrogen (N) requirements. The ‘critical nitrogen dilution curve’ is a powerful tool to characterize such N requirements; it relates the N concentration ([N]) in aboveground organs to their biomass, defining two domains depending on whether the N factor limits biomass growth or not. We aimed to develop such a tool in miscanthus. Using a rhizome N depletion strategy with green cutting pre-treatment over several years before the start of the experiment, we grew, in 2014, two cultivated species, Miscanthus × giganteus (M×g) and Miscanthus sinensis (Msin), at four fertilizer levels (0, 80, 160 and 240 kg N ha−1). We found a strong nitrogen fertilization effect. The shoot [N] decreased as the aboveground biomass increased in both species and in all of the treatments. [N] was strongly correlated with leaf/stem biomass ratio. The N treatments enabled the identification of the observed critical points, i.e. points with the maximum biomass (W) and the lowest [N], on each measurement date. These points could be fitted to the following critical dilution curve that was common between M×g and Msin: N concentration (Nc) (critical [N], g N kg−1) = 27.0 W −0.48 when W > 1 t ha−1 and Nc = 27.0 when W ≤ 1. This curve was validated by literature data, separated into N-limited or not-limited conditions. The similarity of the curves between the two species was due to compensation between leaf/stem biomass ratio and [N] in the stems. This curve is helpful to diagnose the crop N status and define the optimal fertilizer requirements of miscanthus crops.
Published: 2016
Full Text: View/download PDF

17. Assessing the potentialities of innovating cropping systems to reduce pesticide losses to groundwater through a network of long term experimental sites and quantitative modelling

Author: Pierre Benoit, Lionel Alletto, Jesús-María Marín-Benito, André Gavaland, Simon Giuliano, Pascal Farcy, Sébastien Darras, Marjorie Ubertosi, Jérôme Pernel, Valerie Pot-Genty, Carole Bedos, Caroline Colnenne-David, Eric Justes, Nicolas Munier-Jolain, Enrique Barriuso, Laure Mamy, ProdInra, Archive Ouverte, Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, UMR : AGroécologie, Innovations, TeRritoires, Ecole Nationale Supérieure Agronomique de Toulouse, Institute of Natural Resources and Agrobiology of Salamanca (IRNASA), Domaine expérimental d'Auzeville (UE AUZEVILLE), Institut National de la Recherche Agronomique (INRA), Domaine expérimental d'Époisses (DIJ EPOISSES), Domaine expérimental de Brunehaut (LILL MONS UE), Agroécologie [Dijon], Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Agro-Transfert Ressources et Territoires, Agronomie, AgroParisTech-Institut National de la Recherche Agronomique (INRA), AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Domaine expérimental d'Époisses - UE0115 U2E (DIJ EPOISSES), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes ( ECOSYS ), Institut National de la Recherche Agronomique ( INRA ) -AgroParisTech, Institute of Natural Resources and Agrobiology of Salamanca ( IRNASA ), Domaine expérimental d'Auzeville ( UE AUZEVILLE ), Institut National de la Recherche Agronomique ( INRA ), Domaine expérimental d'Époisses ( DIJ EPOISSES ), Domaine expérimental de Brunehaut ( LILL MONS UE ), and Institut National de la Recherche Agronomique ( INRA ) -Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement
Subjects: [SDV] Life Sciences [q-bio], [ SDV ] Life Sciences [q-bio], [SDV]Life Sciences [q-bio]
Abstract: EAGESTADAGROSUP; Assessing the potentialities of innovating cropping systems to reduce pesticide losses to groundwater through a network of long term experimental sites and quantitative modelling. 5. International Ecosummit “Ecological Sustainability : Engineering Change”

18. Microsatellite marker polymorphism and mapping in pea (Pisum sativum L.)

Author: Kevin McPhee, K. Loridon, Julie Morin, Judith Burstin, Catherine Rameau, Clarice J. Coyne, Grégoire Aubert, Isabelle Lejeune-Hénaut, Marie-Laure Pilet-Nayel, P Dubreuil, Alain Baranger, UMR 0102 - Unité de Recherche Génétique et Ecophysiologie des Légumineuses, Génétique et Ecophysiologie des Légumineuses à Graines (UMRLEG) (UMR 102), Etablissement National d'Enseignement Supérieur Agronomique de Dijon (ENESAD)-Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Etablissement National d'Enseignement Supérieur Agronomique de Dijon (ENESAD)-Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, USDA-ARS : Agricultural Research Service, Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), Amélioration des Plantes et Biotechnologies Végétales (APBV), Institut National de la Recherche Agronomique (INRA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Unité de recherche Génétique et amélioration des plantes (GAP), and Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-AGROCAMPUS OUEST
Subjects: 0106 biological sciences, FABACEAE, Quantitative trait locus, Biology, 01 natural sciences, 03 medical and health sciences, chemistry.chemical_compound, Molecular marker, Genotype, Genetics, Genomic library, Allele, Genotyping, Gene, 030304 developmental biology, [SDV.GEN]Life Sciences [q-bio]/Genetics, 0303 health sciences, Polymorphism, Genetic, Peas, Chromosome Mapping, food and beverages, General Medicine, GENETIQUE, Random Amplified Polymorphic DNA Technique, chemistry, Microsatellite, Agronomy and Crop Science, Microsatellite Repeats, 010606 plant biology & botany, Biotechnology
Abstract: International audience; This paper aims at providing reliable and cost effective genotyping conditions, level of polymorphism in a range of genotypes and map position of newly developed microsatellite markers in order to promote broad application of these markers as a common set for genetic studies in pea. Optimal PCR conditions were determined for 340 microsatellite markers based on amplification in eight genotypes. Levels of polymorphism were determined for 309 of these markers. Compared to data obtained for other species, levels of polymorphism detected in a panel of eight genotypes were high with a mean number of 3.8 alleles per polymorphic locus and an average PIC value of 0.62, indicating that pea represents a rather polymorphic autogamous species. One of our main objectives was to locate a maximum number of microsatellite markers on the pea genetic map. Data obtained from three different crosses were used to build a composite genetic map of 1,430 cM (Haldane) comprising 239 microsatellite markers. These include 216 anonymous SSRs developed from enriched genomic libraries and 13 SSRs located in genes. The markers are quite evenly distributed throughout the seven linkage groups of the map, with 85% of intervals between the adjacent SSR markers being smaller than 10 cM. There was a good conservation of marker order and linkage group assignment across the three populations. In conclusion,we hope this report will promote wide application of these markers and will allow information obtained by different laboratories worldwide in diverse fields of pea genetics, such as QTL mapping studies and genetic resource surveys, to be easily aligned.
Published: 2005
Full Text: View/download PDF

19. Genome-wide association mapping of three important traits using bread wheat elite breeding populations

Author: Eric Storlie, Emmanuel Heumez, Ellen Goudemand, Denis Beghin, Jacques Bordes, Jacques Le Gouis, Annie Lapierre, Gilles Charmet, Olivier Robert, Marie Reine Perretant, François Xavier Oury, Bernard Rolland, Valérie Laurent, Laure Duchalais, Laetitia Chevarin, Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Bioplante, Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Institut National de la Recherche Agronomique (INRA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), and Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-AGROCAMPUS OUEST
Subjects: 0106 biological sciences, Spurious associations, [SDV]Life Sciences [q-bio], Population, Genome-wide association study, Plant Science, Biology, 01 natural sciences, Elite line populations, 03 medical and health sciences, Genetics, Genetic variability, Association mapping, education, Molecular Biology, Selection (genetic algorithm), 030304 developmental biology, Genetic association, 2. Zero hunger, 0303 health sciences, education.field_of_study, Test weight, Diversity Arrays Technology, Genetic architecture, Evolutionary biology, Agronomy and Crop Science, 010606 plant biology & botany, Biotechnology
Abstract: International audience; The exponential development of molecular markers enables a more effective study of the genetic architecture of traits of economic importance, like test weight in wheat (Triticum aestivum L.), for which a high value is desired by most end-users. The association mapping (AM) method now allows more precise exploration of the entire genome. AM requires populations with substantial genetic variability of the traits of interest. The breeding lines at the end of a selection cycle, characterized for numerous traits, represent a potentially useful population for AM studies. Using three elite line populations, selected by several breeders and genotyped with about 2,500 Diversity Arrays Technology markers, several associations were identified between these markers and test weight, grain yield and heading date. To minimize spurious associations, we compared the general linear model and mixed linear model (MLM), which adjust for population structure and kinship differently. The MLM model with the kinship matrix was the most efficient. Finally, elite lines from several breeding programs had sufficient genetic variability to allow for the mapping of several chromosomal regions involved in the variation of three important traits.
Published: 2014
Full Text: View/download PDF

20. Genome-wide prediction of three important traits in bread wheat

Author: Laetitia Chevarin, Denis Beghin, Annie Lapierre, Olivier Robert, Emmanuel Heumez, Bernard Rolland, Jacques Bordes, Ellen Goudemand, Marie Reine Perretant, François Xavier Oury, Gilles Charmet, Eric Storlie, Laure Duchalais, Valérie Laurent, Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Colorado State University [Fort Collins] (CSU), Bioplante, Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Institut National de la Recherche Agronomique (INRA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), FSOV (Funds de Soutien a l'Obtention Vegetale) FSOV2008A, Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-AGROCAMPUS OUEST, Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de la Recherche Agronomique (INRA), AGROCAMPUS OUEST-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Recherche Agronomique (INRA), and Charmet, Gilles
Subjects: 0106 biological sciences, Triticum aestivum L, [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, health care facilities, manpower, and services, Population, education, Plant Science, Biology, 01 natural sciences, Article, Plant breeding, Correlation, 03 medical and health sciences, triticum, Genomic selection, Ridge regression, Bayesian LASSO, Random Forest regression, Inbred strain, Statistics, Genetics, Molecular Biology, health care economics and organizations, 030304 developmental biology, 2. Zero hunger, 0303 health sciences, education.field_of_study, business.industry, Heritability, Biotechnology, Agricultural sciences, Test weight, Trait, Doubled haploidy, business, Agronomy and Crop Science, Sciences agricoles, 010606 plant biology & botany
Abstract: Five genomic prediction models were applied to three wheat agronomic traits—grain yield, heading date and grain test weight—in three breeding populations, each comprising about 350 doubled haploid or recombinant inbred lines evaluated in three locations during a 3-year period. The prediction accuracy, measured as the correlation between genomic estimated breeding value and observed trait, was in the range of previously published values for yield (r = 0.2–0.5), a trait with relatively low heritability. Accuracies for heading date and test weight, with relatively high heritabilities, were about 0.70. There was no improvement of prediction accuracy when two or three breeding populations were merged into one for a larger training set (e.g., for yield r ranged between 0.11 and 0.40 in the respective populations and between 0.18 and 0.35 in the merged populations). Cross-population prediction, when one population was used as the training population set and another population was used as the validation set, resulted in no prediction accuracy. This lack of cross-population prediction accuracy cannot be explained by a lower level of relatedness between populations, as measured by a shared SNP similarity, since it was only slightly lower between than within populations. Simulation studies confirm that cross-prediction accuracy decreases as the proportion of shared QTLs decreases, which can be expected from a higher level of QTL × environment interactions. Electronic supplementary material The online version of this article (doi:10.1007/s11032-014-0143-y) contains supplementary material, which is available to authorized users.
Published: 2014
Full Text: View/download PDF

21. Growing winter wheat cultivars under different management intensities in France: A multicriteria assessment based on economic, energetic and environmental indicators

Author: G. Doussinault, O. Leblanc, Michel Leleu, Paul Bataillon, Bernard Rolland, Jean-Marc Meynard, Chantal Loyce, Pierre Mangin, M. Meausoone, M. Bonnefoy, Philippe Lonnet, Irène Félix, Marie-Hélène Bernicot, Christine Bouchard, B. Duperrier, Bernard Debote, Xavier Charrier, D. Heddadj, T. Demarquet, Agronomie, Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Département Sciences pour l'Action et le Développement (DEPT SAD), Institut National de la Recherche Agronomique (INRA), Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-AGROCAMPUS OUEST, Domaine expérimental d'Auzeville (UE AUZEVILLE), Unité Expérimentale Fourrages et Environnement de Lusignan (UEFE), Rech Appl, Chambre d'agriculture, Domaine expérimental de Brunehaut (LILL MONS UE), Domaine expérimental d'Époisses - UE0115 U2E (DIJ EPOISSES), French Ministry of Agriculture [B03705], INRA (AIP Impact des innovations varietales), GIE club, consortium of four breeding companies, Institut National de la Recherche Agronomique (INRA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Phénotypage Au Champ des Céréales, AgroParisTech-Institut National de la Recherche Agronomique (INRA), Département Sciences pour l'Action et le Développement, AGROCAMPUS OUEST-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Recherche Agronomique (INRA), Fourrages Environnement Ruminants Lusignan, and Domaine expérimental d'Époisses (DIJ EPOISSES)
Subjects: 0106 biological sciences, Integrated pest management, [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, Yield (finance), Soil Science, Context (language use), 01 natural sciences, Genotype-by-management interaction, DISEASE, Low-input cropping systems, LOCK-IN, Cultivar, LOW-INPUT, FERTILIZER, Productivity, 2. Zero hunger, business.industry, Fossil fuel, ARABLE FARMING SYSTEMS, 04 agricultural and veterinary sciences, GRAIN-YIELD, 15. Life on land, GENOTYPE, NITROGEN, Energy use efficiency, Agronomy, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, Environmental science, Profitability index, CROP MANAGEMENT, Tonne, business, Agronomy and Crop Science, RESISTANCE, 010606 plant biology & botany, Cultivar resistance to diseases
Abstract: International audience; Since the 1970s, winter wheat management in France has focused on growing high-yielding cultivars with the intensive use of external inputs. However, over the last 10 years, breeding priorities have changed in favour of the development of cultivars with multiple resistance to fungal diseases and lodging. Low-input strategies have also been developed, to reduce costs and to meet environmental targets. In this study, we assessed the economic, energetic and environmental performances of three cultivars (C) grown under four management intensities. Two of these cultivars (Isengrain and Tremie) are both high-yielding and disease-susceptible, whereas the third (Oratorio) is multiresistant to diseases and lodging but has a lower potential yield. The four crop management systems (CM) were designed with a decrease in input level (seeds, N fertilizer, fungicides, growth regulator) from CM1 to CM4. We set up a multi-year ant multi-site network to test the C-CM pairs in a wide range of environments. The evaluation of C-CM pairs was based on a set of indicators dealing with economics (profitability, input and machinery costs per tonne), environment (pesticide use, N recovery), and energy (energy use efficiency, energy costs). As regards profitability and costs per tonne, we assessed the vulnerability of the C-CM pairs to several grain and oil price scenarios. The demonstration of synergy between the two types of innovation (multiresistant cultivars, low-input management) is a major result: each makes the other more profitable, increasing its chances of adoption in the field. The ecology-based technology package, involving the use of lower-yielding multiresistant cultivars under lower external input levels, was more profitable when grain prices were low (less than (sic)123-157 per tonne (for low and high oil prices, respectively)). By contrast, the intensive technology package, consisting of high-yielding cultivars and high levels of external inputs (N, fungicides and growth regulators), was more profitable when grain prices exceeded (sic)123-157 per tonne (for low and high oil prices, respectively). However, it was less optimal in terms of fossil energy use and potential on environmental impact. In a context of fluctuating grain and oil prices and a need to preserve resources (e.g. fossil energy, water quality), our results demonstrate the potential benefits of using low-input crop management systems. with cultivars displaying multiple resistance to diseases and lodging (Oratorio-CM3). The loss of productivity (1 t ha(-1) less than for Isengrain-CM2) due to the lower yield potential of the multiresistant cultivar and the lower levels of inputs must be seen as a necessary evil if we are to decrease the overuse of resources. There is a need to adapt current procedures for cultivar evaluation, to promote the breeding of multiresistant cultivars for low-input systems. New cultivars should be evaluated under a range of conditions, from high- to low-input systems. (C) 2011 Elsevier B.V. All rights reserved.
Published: 2012
Full Text: View/download PDF

22. Developing fall-sown pea cultivars as an answer to the challenges of climatic changes

Author: Aleksandar Mikic, Vojislav Mihailovic, Branko Cupina, Isabelle Lejeune-Henaut, Eric Hanocq, Gérard Duc, Mcphee, Kevin E., Stoddard, Frederick L., Valentin Kosev, Dorde Krstic, Svetlana Antanasovic, Institute of Field and Vegetable Crops [Novi Sad], Faculty of Agriculture, Stress Abiotiques et Différenciation des Végétaux Cultivés (SADV), Institut National de la Recherche Agronomique (INRA)-Université de Lille, Sciences et Technologies, Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), Agroécologie [Dijon], Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, North Dakota State University (NDSU), Department of Agricultural Sciences, The Royal Veterinary ans Agricultural University, Institute of Forage Crops, University of Novi Sad, Comstock, Aiden M., Lothrop, Braylen E., and ProdInra, Migration
Subjects: [SDE] Environmental Sciences, abiotic stress, climatic change, sowing time, [SDV]Life Sciences [q-bio], pea, drought, low temperature, winter hardiness, [SDV] Life Sciences [q-bio], [SDE]Environmental Sciences, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, [SDV.BV] Life Sciences [q-bio]/Vegetal Biology, pisum sativum
Abstract: Chapitre 4; International audience; Pea is considered rather well adapted to wide temperature ranges, with seedlings able to survive even -20 °C. From a physiological viewpoint, pea becomes tolerant to frost if first exposed to low non-freezing temperatures, causing the so-called cold acclimation. Delayed floral initiation helps some forage pea genotypes to escape the main winter freezing periods, as susceptibility to frost increases during the transition to the reproductive state. The oldest winter pea cultivars carry the dominant allele, Hr, although some bear hr. They are generally characterized by prominent winter hardiness and a long growing season, from sowing in early October until either cutting for forage production in late May or harvesting seeds in mid-July. The average forage yields in the winter forage pea cultivars often exceed 45 t ha-1 of green forage, 9 t ha-1 of forage dry matter and 1700 kg ha-1 of forage crude protein. Modern dry pea cultivars have advanced winter hardiness and enhanced dry grain production. They are already in use in other temperate regions in both Europe, especially France, and the USA. One of the strategic advantages of fall-sown dry pea cultivars of recent release is their significantly improved earliness.These cultivars are regularly at least one week earlier than winter barley, providing many farmers with the novel opportunity of not having to choose between pea and cereals, since many have only one combine harvester available and give priority to their cereals. Furthermore, fall-sown dry pea cultivars may have increased grain dry matter crude protein content and it is possible to merge winter hardiness and low content of antinutritional factors. Low thousand seed weight, not exceeding 200 g, and a population density of 75-80 plants m-2 provide inexpensive sowing. All these outcomes should result in an increased area and production of dry pea in many temperate regions. In the end, growing winter-hardy pea cultivars also mean a significant shift into the wetter half of the year and thus mitigating more and more prominent and unpredictable effects of spring droughts, demonstrating an efficient answer to the challenges of climatic changes.
Published: 2012

23. The prediction of bread wheat quality: joint use of the phenotypic information brought by technological tests and the genetic information brought by HMW and LMW glutenin subunits

Author: Annie Faye, Emmanuel Heumez, Alex Giraud, Francois-Xavier Oury, Gérard Branlard, Bernard Rolland, Hubert Chiron, Olivier Gardet, Maxime Trottet, M. Rousset, Gilles Charmet, Génétique Diversité et Ecophysiologie des Céréales (GDEC), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de la Recherche Agronomique (INRA), Unité de recherche sur les Biopolymères, Interactions Assemblages (BIA), Institut National de la Recherche Agronomique (INRA), Expérimentation et finition des variétés (VERS GRI UE EXP FINITION VARIE), Génétique et Ecophysiologie des Légumineuses à Graines (UMRLEG) (UMR 102), Etablissement National d'Enseignement Supérieur Agronomique de Dijon (ENESAD)-Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Domaine expérimental de Brunehaut (LILL MONS UE), Amélioration des Plantes et Biotechnologies Végétales (APBV), Institut National de la Recherche Agronomique (INRA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) (GQE-Le Moulon), Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Université Paris-Sud - Paris 11 (UP11)-Institut National de la Recherche Agronomique (INRA), FSOV (``Fonds de Soutien a l'Obtention Vegetale'), Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-AGROCAMPUS OUEST, Institut National de la Recherche Agronomique (INRA)-Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-Etablissement National d'Enseignement Supérieur Agronomique de Dijon (ENESAD)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, AGROCAMPUS OUEST-Université de Rennes 1 (UR1), and Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Recherche Agronomique (INRA)
Subjects: 0106 biological sciences, [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, PREDICTION, Locus (genetics), Plant Science, END-USE QUALITY, Horticulture, 01 natural sciences, BREADMAKING, FLOUR QUALITY, 0404 agricultural biotechnology, Glutenin, PROTEIN-COMPOSITIION, RECOMBINANT, INBRED LINES, DEVELOPING GRAINS, Genetics, MAKING QUALITY, QUALITY, Plant breeding, Allele, 2. Zero hunger, GLUTENIN SUBUNITS, MOLECULAR-WEIGHT SUBUNITS, biology, BREAD WHEAT, 04 agricultural and veterinary sciences, 040401 food science, PHYSICAL DOUGH PROPERTIES, biology.protein, ALLELIC VARIATION, Agronomy and Crop Science, 010606 plant biology & botany
Abstract: Attempts have been made to predict Chopin alveograph or French bread-making tests, using tree-based models and PLS regressions. Data came from three sets of trials, involving 130, 214 and 103 different genotypes, which were described for HMW-GS, LMW-GS and small-scale tests currently used in breeding programs. Segmentation trees and PLS regressions indicated that HMW-GS and LMW-GS were not sufficient to explain alone the variability of bread wheat quality. This could be partly due to “allele × environment” and “locus × locus” interactions. For HMW-GS, Glu-B1 was the predominant locus for alveograph and French bread-baking, and some differences in the alleles hierarchy were demonstrated according to the end-use parameter considered. For LMW-GS, Glu-B3 seemed to be preponderant, with alleles b′, c and g being favourable and allele c′ unfavourable. Joint use of the information brought by glutenin subunits and technological tests did not enable to predict satisfactorily, neither the different parameters of French bread-baking, nor the extensibility L of alveograph. Only the prediction of the strength W proved reliable, and robust PLS equations were proposed for this alveograph parameter. These prediction equations could be of interest to select for high values of W in the mid generations of breeding.
Published: 2010
Full Text: View/download PDF

24. The nutritional quality of meats and liver differed deeply in cereal (indoor) and grass (outdoor) fed fattening lambs

Author: Gandemer, Gilles, Chantelot, Franck, Ortigues Marty, Isabelle, Duchene, Christelle, Bauchart, Dominique, ProdInra, Migration, Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), Centre d'Information des Viandes (CIV), and Unité de Recherches sur les Herbivores (URH)
Subjects: [SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], [INFO]Computer Science [cs], [INFO] Computer Science [cs], ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2008

25. Demonstration of the role of earthworms on the removal of highly compacted zones in field conditions

Author: Capowiez, Yvan, Bouchand, Pierre, Cadoux, Stéphane, Pelosi, Céline, Roger Estrade, Jean, Boizard, Hubert, Unité mixte de recherche Ecologie des invertébrés (UAPV), Institut National de la Recherche Agronomique (INRA)-Avignon Université (AU), Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), Agronomie (Agronomie), and Institut National de la Recherche Agronomique (INRA)-Institut National Agronomique Paris-Grignon (INA P-G)
Subjects: ver de terre, eartworm, lombric, ventilation, [SDV]Life Sciences [q-bio], lumbricus, [SDE]Environmental Sciences
Abstract: By their excavation activities, earthworms are thought to contribute to the removal of highly compacted zones (“delta” zones) but the quantitative measurements of their impact is lacking. A first experiment was carried out in semi-field conditions (caging experiment). Adult earthworm from the most common species (Lumbricus terrestris, Aporrectodea giardi, A. caliginosa and A. rosea) were in presence of different compacted zones: (i) horizontal, (ii) vertical layer and (iii) isolated zone representing different natural situations (under wheel or timmage compaction). Depending on the species (and their behaviour) we observed different impacts on compacted zones (L. terrestris is more prone to cross horizontal layer whereas A. caliginosa is more prone to colonize vertical ones). A second experiment was carried out in field conditions to characterise the dynamics of the recolonisation by earthworms after a compaction (through a 8t vehicle). Under and between wheels zones were followed during 2 years. We studied earthworm bulk density, earthworm community, 2D vertical macroporosity and water infiltration measurements were done. We observed that earthworm recolonisation is a rapid process (less than 6 months to recover similar abundances) whereas macroporosity and water infiltration are much slower processes. This illustrates the difficulty of using earthworm abundance as way to estimate the physical consequences of earthworm activity. Moreover, 3D soil cores were collected at different dates under and between wheels and analysed through Xray tomography. This enables us to visualize the (slow) recolonisation of the soil with earthworm macropores and to discuss the effect of the different species present in the field.
Published: 2006

26. Characterization of environments and genotypes for analyzing genotype X environment interaction : some recent advances in winter wheat and prospects for QTL detection

Author: M. Leflon, C. Lecomte, N. Robert, Maryse Brancourt-Hulmel, M. H. Jeuffroy, A. Barbottin, Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), UMR 0102 - Unité de Recherche Génétique et Ecophysiologie des Légumineuses, Génétique et Ecophysiologie des Légumineuses à Graines (UMRLEG) (UMR 102), Institut National de la Recherche Agronomique (INRA)-Etablissement National d'Enseignement Supérieur Agronomique de Dijon (ENESAD)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique (INRA)-Etablissement National d'Enseignement Supérieur Agronomique de Dijon (ENESAD)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Systèmes Agraires Développement : Activités, Produits, Territoires (SADAPT), Institut National de la Recherche Agronomique (INRA)-Institut National Agronomique Paris-Grignon (INA P-G), Agronomie (Agronomie), and Institut Supérieur d’Agriculture de Beauvais (ISAB)
Subjects: 0106 biological sciences, GENOTYPE-BY-ENVIRONMENT INTERACTION, ENVIRONMENT CHARACTERIZATION, [SDV]Life Sciences [q-bio], Winter wheat, WHEAT, Soil Science, Plant Science, Quantitative trait locus, Biology, 01 natural sciences, [SHS]Humanities and Social Sciences, Crop, Genotype, Genetics, Gene–environment interaction, 2. Zero hunger, business.industry, fungi, food and beverages, 04 agricultural and veterinary sciences, GENOTYPE CHARACTERIZATION, Biotechnology, Agronomy, QTL DETECTION, [SDE]Environmental Sciences, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, business, Agronomy and Crop Science, 010606 plant biology & botany
Abstract: International audience; Genotypes × environment interactions (GEI) are more fully analyzed when genotypes and environments are well characterized. The characterization of the environments via direct measurements seems somewhat immediate. However, this method generates too many variates that reduce their own significance in the GEI analysis. Several methods can be used to reduce this number, e.g., a crop diagnosis combined with probe genotypes and biological indicators. Genotypes can be characterized by several methods: (1) via direct measurements, (2) using crop modelling, or (3) by comparison to probe genotypes. All these methods will be illustrated in this chapter, mainly for winter wheat (Triticum aestivum L.), and their prospects for QTL detection will be discussed.
Published: 2005
Full Text: View/download PDF

27. Genetic diversity within Pisum sativum using protein- and PCR-based markers

Author: Judith Burstin, G. Deniot, Isabelle Lejeune-Hénaut, Alain Baranger, Grégoire Aubert, G. Arnau, J. Lallemand, J. Potier, A. L. Lainé, C. Weinachter, Amélioration des Plantes et Biotechnologies Végétales (APBV), Institut National de la Recherche Agronomique (INRA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), UMR 0102 - Unité de Recherche Génétique et Ecophysiologie des Légumineuses, Génétique et Ecophysiologie des Légumineuses à Graines (UMRLEG) (UMR 102), Etablissement National d'Enseignement Supérieur Agronomique de Dijon (ENESAD)-Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Etablissement National d'Enseignement Supérieur Agronomique de Dijon (ENESAD)-Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Groupe d'Etude et de Contrôle des Variétés et des Semences (GEVES), Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), and Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-AGROCAMPUS OUEST
Subjects: Genetic Markers, 0106 biological sciences, Germplasm, RESISTANCE DES PLANTES, Minisatellite Repeats, Breeding, Biology, 01 natural sciences, 03 medical and health sciences, chemistry.chemical_compound, Sativum, Species Specificity, Fodder, Molecular marker, Genetic variation, Botany, Genetics, Cluster Analysis, Cultivar, Alleles, 030304 developmental biology, Principal Component Analysis, 0303 health sciences, Genetic diversity, [SDV.GEN]Life Sciences [q-bio]/Genetics, Geography, Peas, Genetic Variation, Agriculture, General Medicine, AMELIORATION DES PLANTES, 15. Life on land, BIOLOGIE MOLECULAIRE, Pedigree, Random Amplified Polymorphic DNA Technique, Europe, Isoenzymes, Phenotype, chemistry, Gene pool, Agronomy and Crop Science, 010606 plant biology & botany, Biotechnology
Abstract: A collection of 148 Pisum accessions, mostly from Western Europe, and including both primitive germplasm and cultivated types, was structured using 121 protein- and PCR-based markers. This molecular marker-based classification allowed us to trace back major lineages of pea breeding in Western Europe over the last decades, and to follow the main breeding objectives: increase of seed weight, introduction of the afila foliage type and white flowers, and improvement of frost tolerance for winter-sown peas. The classification was largely consistent with the available pedigree data, and clearly resolved the different main varietal types according to their end-uses (fodder, food and feed peas) from exotic types and wild forms. Fodder types were further separated into two sub-groups. Feed peas, corresponding to either spring-sown or winter-sown types, were also separated, with two apparently different gene pools for winter-sown peas. The garden pea group was the most difficult to structure, probably due to a continuum in breeding of feed peas from garden types. The classification also stressed the paradox between the narrowness of the genetic basis of recent cultivars and the very large diversity available within P. sativum. A sub-collection of 43 accessions representing 96% of the whole allelic variability is proposed as a starting point for the construction of a core collection.
Published: 2004
Full Text: View/download PDF

28. A conserved role for the MEK signalling pathway in neural tissue specification and posteriorisation in the invertebrate chordate, the ascidian Ciona intestinalis

Author: Sébastien Darras, Danielle H. Caillol, Clare Hudson, Hitoyoshi Yasuo, Patrick Lemaire, Laboratoire de Biologie du Développement de Villefranche sur mer (LBDV), Observatoire océanologique de Villefranche-sur-mer (OOVM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), Laboratoire de psychologie cognitive (LPC), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Institut de Biologie du Développement de Marseille (IBDM), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Observatoire océanologique de Villefranche-sur-mer (OOVM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de génétique et physiologie du développement (LGPD), Université de la Méditerranée - Aix-Marseille 2-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Hudson, clare
Subjects: MAPK/ERK pathway, Central Nervous System, Tail, Blastomeres, Embryo, Nonmammalian, Cellular differentiation, [SDV]Life Sciences [q-bio], Chordate, [SDV.BC]Life Sciences [q-bio]/Cellular Biology, Protein Serine-Threonine Kinases, Proto-Oncogene Proteins p21(ras), [SDV.BDD] Life Sciences [q-bio]/Development Biology, Nitriles, Butadienes, Animals, Ciona intestinalis, Enzyme Inhibitors, Molecular Biology, [SDV.BDD]Life Sciences [q-bio]/Development Biology, Body Patterning, Embryonic Induction, Homeodomain Proteins, Neurons, Otx Transcription Factors, biology, fungi, Gene Expression Regulation, Developmental, Embryo, Cell Differentiation, Anatomy, Gastrula, biology.organism_classification, Hedgehog signaling pathway, Cell biology, Gastrulation, [SDV] Life Sciences [q-bio], Fibroblast Growth Factors, Body plan, Larva, embryonic structures, Benzamides, Fibroblast Growth Factor 2, Mitogen-Activated Protein Kinases, Developmental Biology, Signal Transduction
Abstract: International audience; Ascidians are invertebrate chordates with a larval body plan similar to that of vertebrates. The ascidian larval CNS is divided along the anteroposterior axis into sensory vesicle, neck, visceral ganglion and tail nerve cord. The anterior part of the sensory vesicle comes from the a-line animal blastomeres, whereas the remaining CNS is largely derived from the A-line vegetal blastomeres. We have analysed the role of the Ras/MEK/ERK signalling pathway in the formation of the larval CNS in the ascidian, Ciona intestinalis. We show evidence that this pathway is required, during the cleavage stages, for the acquisition of: (1) neural fates in otherwise epidermal cells (in a-line cells); and (2) the posterior identity of tail nerve cord precursors that otherwise adopt a more anterior neural character (in A-line cells). Altogether, the MEK signalling pathway appears to play evolutionary conserved roles in these processes in ascidians and vertebrates, suggesting that this may represent an ancestral chordate strategy.
Published: 2002

29. Blé tendre. Des intrants en moins por des marges en plus

Author: Leleu, M., Lenne, N., Maurice, Aurélie, Le Gouis, Jacques, Heumez, Emmanuel, Brancourt-Hulmel, M., Pluchard, P., Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), Unité de recherche Génétique et amélioration des plantes (GAP), and ProdInra, Migration
Subjects: [SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract: National audience
Published: 2000

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources

Refine your results

29 results on '"Domaine expérimental de Brunehaut (LILL MONS UE)"'

1. Genome-Wide association mapping of frost tolerance in Pisum sativum

2. Bread wheat (T. aestivum) variability: Phenotypic and genotypic data from 75 varieties

3. A network of long term experimental sites to include quantitative modelling of pesticides losses in the multi-criteria assessment of innovating cropping systems

4. A high-density genetic map of the Medicago truncatula major freezing tolerance QTL on chromosome 6 reveals colinearity with a QTL related to freezing damage on Pisum sativum linkage group VI

5. Phenomic selection in wheat breeding: prediction of the genotype-by-environment interaction in multi-environment breeding trials

6. Conventional versus organic farming systems: dissecting comparisons to improve cereal organic breeding strategies

7. Bread-making quality predictions of multi-trait assisted genomic selection

8. Bread-making quality predictions: multi-trait assisted genomic selection in bread wheat

9. Évaluation multicritère de systèmes de culture zéro-pesticides en grande culture et polyculture-élevage (Réseau Rés0Pest)

10. Projet SYSTEM-ECO4 : Évaluation de systèmes de grandes cultures à faible usage de pesticides

11. Saccharification Performances of Miscanthus at the Pilot and Miniaturized Assay Scales: Genotype and Year Variabilities According to the Biomass Composition

12. From selection to cultivation with the support of all stakeholders: the first registration in France of two winter bread wheat varieties after value for cultivation and use evaluation in organic farming systems

13. Bread wheat milling behavior: effects of genetic and environmental factors, and modeling using grain mechanical resistance traits

14. Transfer of a miniaturized method for high-throughput screening of biomass pretreatment and saccharification and application on poplar and miscanthus clones

15. A proteomic approach to decipher chilling response from cold acclimation in pea (Pisum sativum L.)

16. A single and robust critical nitrogen dilution curve for miscanthus × giganteus and Miscanthus sinensis

17. Assessing the potentialities of innovating cropping systems to reduce pesticide losses to groundwater through a network of long term experimental sites and quantitative modelling

18. Microsatellite marker polymorphism and mapping in pea (Pisum sativum L.)

19. Genome-wide association mapping of three important traits using bread wheat elite breeding populations

20. Genome-wide prediction of three important traits in bread wheat

21. Growing winter wheat cultivars under different management intensities in France: A multicriteria assessment based on economic, energetic and environmental indicators

22. Developing fall-sown pea cultivars as an answer to the challenges of climatic changes

23. The prediction of bread wheat quality: joint use of the phenotypic information brought by technological tests and the genetic information brought by HMW and LMW glutenin subunits

24. The nutritional quality of meats and liver differed deeply in cereal (indoor) and grass (outdoor) fed fattening lambs

25. Demonstration of the role of earthworms on the removal of highly compacted zones in field conditions

26. Characterization of environments and genotypes for analyzing genotype X environment interaction : some recent advances in winter wheat and prospects for QTL detection

27. Genetic diversity within Pisum sativum using protein- and PCR-based markers

28. A conserved role for the MEK signalling pathway in neural tissue specification and posteriorisation in the invertebrate chordate, the ascidian Ciona intestinalis

29. Blé tendre. Des intrants en moins por des marges en plus

Catalog

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Topic

Publication Year Range

Language

Journal

Database

Publisher

29 results on '"Domaine expérimental de Brunehaut (LILL MONS UE)"'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources