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2. Alternative scoring methods of fusarium head blight resistance for genomic assisted breeding

Author

Garcia-Abadillo, J., Morales, L., Buerstmayr, H., Michel, S., Lillemo, M., Holzapfel, J., Hartl, L., Akdemir, D., Carvalho, H. F., Isidro-Sánchez, J., European Commission, Ministerio de Educación y Formación Profesional (España), Agencia Estatal de Investigación (España), Universidad Politécnica de Madrid, Research Council of Norway, Garcia-Abadillo, J., Buerstmayr, H., Maltoni, Michele, Lillemo, M., Hartl, L., and Isidro-Sánchez, Julio

Subjects
Simulation and empirical evidence, Quantitative resistance, Wheat, Genomic selection (GS), Plant Science, Fusarium head blight (FHB), Plant breeding
Abstract

14 Pág., Fusarium head blight (FHB) is a fungal disease of wheat (Triticum aestivum.L) that causes yield losses and produces mycotoxins which could easily exceed the limits of the EU regulations. Resistance to FHB has a complex genetic architecture and accurate evaluation in breeding programs is key to selecting resistant varieties. The Area Under the Disease Progress Curve (AUDPC) is one of the commonly metric used as a standard methodology to score FHB. Although efficient, AUDPC requires significant costs in phenotyping to cover the entire disease development pattern. Here, we show that there are more efficient alternatives to AUDPC (angle, growing degree days to reach 50% FHB severity, and FHB maximum variance) that reduce the number of field assessments required and allow for fair comparisons between unbalanced evaluations across trials. Furthermore, we found that the evaluation method that captures the maximum variance in FHB severity across plots is the most optimal approach for scoring FHB. In addition, results obtained on experimental data were validated on a simulated experiment where the disease progress curve was modeled as a sigmoid curve with known parameters and assessment protocols were fully controlled. Results show that alternative metrics tested in this study captured key components of quantitative plant resistance. Moreover, the new metrics could be a starting point for more accurate methods for measuring FHB in the field. For example, the optimal interval for FHB evaluation could be predicted using prior knowledge from historical weather data and FHB scores from previous trials. Finally, the evaluation methods presented in this study can reduce the FHB phenotyping burden in plant breeding with minimal losses on signal detection, resulting in a response variable available to use in data-driven analysis such as genome-wide association studies or genomic selection., The WheatSustain project was carried out under the ERA-NET Cofund SusCrop (Horizon 2020 Grant No 771134), being part of the Joint Programming Initiative on Agriculture, Food Security and Climate Change (FACCE-JPI). I-SJ was supported by the Beatriz GalindoProgram (BEAGAL18/00115) from the Ministerio de Educación y Formación Profesional of Spain and the Severo Ochoa Program for Centres of Excellence in R&D from the Agencia Estatal de Investigación of Spain, grant SEV-2016-0672 (2017-2021) to the CBGP. G-AJ is working under a UPM predoctoral grant as part of the programme “Programa Propio I+D+i” financed by the Universidad Politécnica de Madrid. ML, MS, and BH were supported by the Austrian Federal Ministry of Agriculture, Regions and Tourism (grantnumber DaFNE-101402). LM was supported by the Research Council of Norway (NFR grant 299615), and and HL by Deutsches Bundesministerium für Bildung und Forschung (031B0810).

Published
2022

6. Alternative scoring methods of fusarium head blight resistance for genomic assisted breeding

Author

European Commission, Ministerio de Educación y Formación Profesional (España), Agencia Estatal de Investigación (España), Universidad Politécnica de Madrid, Research Council of Norway, Garcia-Abadillo, J. [0000-0002-4672-8908], Buerstmayr, H. [0000-0002-0748-2351], Maltoni, Michele [0000-0001-7444-4542], Lillemo, Morten [0000-0002-8594-8794], Hartl, Lorenz [0000-0003-1448-3616], Isidro-Sánchez, Julio [0000-0001-6259-9117], Holzapfel, Josef [0000-0002-3207-2012], Garcia-Abadillo, J., Morales, Laura, Buerstmayr, Hermann, Michel, S., Lillemo, Morten, Holzapfel, Josef, Hartl, Lorenz, Akdemir, Deniz, Carvalho, H.F., Isidro-Sánchez, Julio, European Commission, Ministerio de Educación y Formación Profesional (España), Agencia Estatal de Investigación (España), Universidad Politécnica de Madrid, Research Council of Norway, Garcia-Abadillo, J. [0000-0002-4672-8908], Buerstmayr, H. [0000-0002-0748-2351], Maltoni, Michele [0000-0001-7444-4542], Lillemo, Morten [0000-0002-8594-8794], Hartl, Lorenz [0000-0003-1448-3616], Isidro-Sánchez, Julio [0000-0001-6259-9117], Holzapfel, Josef [0000-0002-3207-2012], Garcia-Abadillo, J., Morales, Laura, Buerstmayr, Hermann, Michel, S., Lillemo, Morten, Holzapfel, Josef, Hartl, Lorenz, Akdemir, Deniz, Carvalho, H.F., and Isidro-Sánchez, Julio

Abstract

Fusarium head blight (FHB) is a fungal disease of wheat (Triticum aestivum.L) that causes yield losses and produces mycotoxins which could easily exceed the limits of the EU regulations. Resistance to FHB has a complex genetic architecture and accurate evaluation in breeding programs is key to selecting resistant varieties. The Area Under the Disease Progress Curve (AUDPC) is one of the commonly metric used as a standard methodology to score FHB. Although efficient, AUDPC requires significant costs in phenotyping to cover the entire disease development pattern. Here, we show that there are more efficient alternatives to AUDPC (angle, growing degree days to reach 50% FHB severity, and FHB maximum variance) that reduce the number of field assessments required and allow for fair comparisons between unbalanced evaluations across trials. Furthermore, we found that the evaluation method that captures the maximum variance in FHB severity across plots is the most optimal approach for scoring FHB. In addition, results obtained on experimental data were validated on a simulated experiment where the disease progress curve was modeled as a sigmoid curve with known parameters and assessment protocols were fully controlled. Results show that alternative metrics tested in this study captured key components of quantitative plant resistance. Moreover, the new metrics could be a starting point for more accurate methods for measuring FHB in the field. For example, the optimal interval for FHB evaluation could be predicted using prior knowledge from historical weather data and FHB scores from previous trials. Finally, the evaluation methods presented in this study can reduce the FHB phenotyping burden in plant breeding with minimal losses on signal detection, resulting in a response variable available to use in data-driven analysis such as genome-wide association studies or genomic selection.

Published
2022

27. A genetic linkage map in southern‐by‐spring oat identifies multiple quantitative trait loci for adaptation and rust resistance.

Author

Sunstrum, Frédérick G., Bekele, Wubishet A., Wight, Charlene P., Yan, Weikai, Chen, Yuanhong, Tinker, Nicholas A., and Buerstmayr, H.

Subjects
OAT diseases & pests, RUST diseases, LOCUS in plant genetics, PLANT adaptation, PLANT genes
Abstract

We developed 178 recombinant inbred lines from a southern‐by‐spring oat population designated as "TxH." These lines were genotyped to generate a high‐quality linkage map that resolved 6,902 markers into 21 linkage groups that matched closely with the latest hexaploid oat consensus map. Three major quantitative trait loci (QTLs) affecting heading date were found in locations that are consistent with known QTLs and candidate genes, and two other QTLs affecting heading date were found in novel locations. Five QTLs affecting plant height were found. Both sets of QTLs are responsible for transgressive segregation observed for these two traits. Four QTLs affecting resistance to crown rust, caused by the pathogen Puccinia coronata f. sp. avenae, were identified. Two of these QTLs are consistent with known clusters of rust resistance genes, while two may represent new locations of novel rust resistance genes. A complete set of SNP sequences suitable for generating markers for molecular selection is provided. [ABSTRACT FROM AUTHOR]

Published
2019
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42. Strategies of the European Initiative for Resistance Breeding Against Fusarium Head Blight.

Author

Buck, H. T., Nisi, J. E., Salomón, N., Ruckenbauer, P., Buerstmayr, H., and Lemmens, M.

Abstract

Wheat is Europe's most important cereal crop, cultivated on over 16 Million ha, yielding over 88 million metric tons per year. The wheat quality and consumer safety is threatened by Fusarium Head Blight (FHB) caused by i.e. Fusarium culmorum, F. graminearum and F. avenaceum. Most of the wheat varieties grown in the EU today are susceptible to this disease. Crop management and chemical measures to prevent the disease and associated mycotoxin contamination are either not available or not feasible. The development of resistant varieties is the most reliable and environmentally sound means to combat this disease In the presented paper, firstly an overview about initiatives on European, national and regional levels to tackle the disease are described involving a wide range of expertise from public and private research institutions as well as breeding and food processing companies In the second part and in more details, the results about two European-wide projects are presented. From the EU-funded project ‘‘FUCOMYR'' where research institutes and breeding companies from 6 European countries are cooperating together, results about the efficiency of conventional selection for resistant lines, artificial infection in mist irrigated fields and under controlled condition are demonstrated. This enabled the team of participants to detect 3 new DNA markers for Type II resistance by QTL mapping of segregating populations. Three genomic regions were found to be signifi\-cantly associated with FHB resistance: the most-prominent effect was detected on the short arm of chromosome 3B, explaining up to 60% of the phenotypic variance for type II resistance. A further QTL was located on chromosome 5A and a third one on 1B. The QTL regions on 3B and 5A were tagged with flanking SSR markers, the 1B QTL was found associated with the high-molecular-weight glutenin locus. These results indicate that FHB resistance is under control of a few major QTL's operating together with an unknown number of minor genes. In the EU-Concerted Action ‘‘MYCOTOCHAIN'', partners from breeding research institutions, breeding companies, milling industries and food processors from five European countries were aiming to synchronise their activities and efforts towards mycotoxin control in cereal and cereal products for food and feed. The results of the proposed recommendations for mycotoxin contamination thresholds for the whole production chain from wheat breeding strategies until the final consumer products for European and possibly worldwide acceptance are demonstrated and discussed [ABSTRACT FROM AUTHOR]

Published
2007
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46. Identification and validation of fusarium head blight and Fusarium -damaged kernel QTL in a Frontana/Remus DH mapping population.

Author

Szabó-Hevér, Á., Lehoczki-Krsjak, S., Tóth, B., Purnhauser, L., Buerstmayr, H., Steiner, B., and Mesterházy, Á.

Subjects
WHEAT fusarium culmorum head blight, FUSARIOSIS, DISEASE resistance of plants, PLANT gene mapping, PLANT chromosomes, LOCUS in plant genetics
Abstract

Copyright of Canadian Journal of Plant Pathology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2012
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49. Leveraging trait and QTL covariates to improve genomic prediction of resistance to Fusarium head blight in Central European winter wheat.

Author

Morales L, Akdemir D, Girard AL, Neumayer A, Reddy Nannuru VK, Shahinnia F, Stadlmeier M, Hartl L, Holzapfel J, Isidro-Sánchez J, Kempf H, Lillemo M, Löschenberger F, Michel S, and Buerstmayr H

Abstract

Fusarium head blight (FHB) is a devastating disease of wheat, causing yield losses, reduced grain quality, and mycotoxin contamination. Breeding can mitigate the severity of FHB epidemics, especially with genomics-assisted methods. The mechanisms underlying resistance to FHB in wheat have been extensively studied, including phenological traits and genome-wide markers associated with FHB severity. Here, we aimed to improve genomic prediction for FHB resistance across breeding programs by incorporating FHB-correlated traits and FHB-associated loci as model covariates. We combined phenotypic data on FHB severity, anthesis date, and plant height with genome-wide marker data from five Central European winter wheat breeding programs for genome-wide association studies (GWAS) and genomic prediction. Within all populations, FHB was correlated with anthesis date and/or plant height, and a marker linked to the semi-dwarfing locus Rht-D1 was detected with GWAS for FHB. Including the Rht-D1 marker, anthesis date, and/or plant height as covariates in genomic prediction modeling improved prediction accuracy not only within populations but also in cross-population scenarios., Competing Interests: Authors JH and HK were employed by the company Secobra Saatzucht GmbH. Authors FL, AN, and MS were employed by the company Saatzucht Donau GmbH & CoKG. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Morales, Akdemir, Girard, Neumayer, Reddy Nannuru, Shahinnia, Stadlmeier, Hartl, Holzapfel, Isidro-Sánchez, Kempf, Lillemo, Löschenberger, Michel and Buerstmayr.)

Published
2024
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