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Adoption and Optimization of Genomic Selection To Sustain Breeding for Apricot Fruit Quality
- Source :
- G3: Genes, Genomes, Genetics, Vol 10, Iss 12, Pp 4513-4529 (2020), G3, G3, Genetics Society of America, 2020, 10 (12), pp.4513-4529. ⟨10.1534/g3.120.401452⟩, G3: Genes|Genomes|Genetics
- Publication Year :
- 2020
- Publisher :
- Oxford University Press, 2020.
-
Abstract
- International audience; Genomic selection (GS) is a breeding approach which exploits genome-wide information and whose unprecedented success has shaped several animal and plant breeding schemes through delivering their genetic progress. This is the first study assessing the potential of GS in apricot (Prunus armeniaca) to enhance postharvest fruit quality attributes. Genomic predictions were based on a F1 pseudo-testcross population, comprising 153 individuals with contrasting fruit quality traits. They were phenotyped for physical and biochemical fruit metrics in contrasting climatic conditions over two years. Prediction accuracy (PA) varied from 0.31 for glucose content with the Bayesian LASSO (BL) to 0.78 for ethylene production with RR-BLUP, which yielded the most accurate predictions in comparison to Bayesian models and only 10% out of 61,030 SNPs were sufficient to reach accurate predictions. Useful insights were provided on the genetic architectureof apricot fruit quality whose integration in prediction models improved their performance, notably for traits governed by major QTL. Furthermore, multivariate modeling yielded promising outcomes in terms of PA within training partitions partially phenotyped for target traits. This provides a useful framework for the implementation of indirect selection based on easy-to-measure traits. Thus, we highlighted the main levers to take into account for the implementation of GS for fruit quality in apricot, but also to improve the genetic gain in perennial species.
- Subjects :
- [SDV.GEN]Life Sciences [q-bio]/Genetics
multivariate modeling
Models, Genetic
accuracy
prunus armeniaca
Bayes Theorem
Genomics
prediction
QH426-470
Polymorphism, Single Nucleotide
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
genetic architecture
genomic
Plant Breeding
Genomic Prediction
Fruit
shared data resources
Genetics
Animals
genpred
[SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology
Selection, Genetic
[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
Genome, Plant
Subjects
Details
- Language :
- English
- ISSN :
- 21601836
- Volume :
- 10
- Issue :
- 12
- Database :
- OpenAIRE
- Journal :
- G3: Genes, Genomes, Genetics
- Accession number :
- edsair.pmid.dedup....9c06c7e0b7f27584db07851b541d93ae