Genomics and pedigree-based prediction of grain yield in international environments
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ArticleLanguage: English Publication details: Mexico : CIMMYT, 2017.Subject(s):
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Proceedings of the 3rd International TRIGO Wheat Yield Potential p. 34-41Summary: Genomic selection (GS) is the new selection tool for plant breeders, especially when the traits are complex and phenotyping is expensive. Our recent studies on developing genomic associated prediction models in wheat based on multi-environmental data have resulted in pedigree-based and genomic-based models that incorporate genotype-by-environment (G×E) interaction terms. However, these models have not yet been widely applied in real breeding programs. Here we report two extensive studies (WAMI phenotyped in 18 environments and International nurseries phenotyped in 136 environments) using pedigree- and markerbased prediction in spring bread wheat and propose using these models in a real breeding program to complement conventional phenotype-based selection.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
| Conference proceedings | CIMMYT Knowledge Center: John Woolston Library | CIMMYT Staff Publications Collection | Available |
Open Access
Genomic selection (GS) is the new selection tool for plant breeders, especially when the traits are complex and phenotyping is expensive. Our recent studies on developing genomic associated prediction models in wheat based on multi-environmental data have resulted in pedigree-based and genomic-based models that incorporate genotype-by-environment (G×E) interaction terms. However, these models have not yet been widely applied in real breeding programs. Here we report two extensive studies (WAMI phenotyped in 18 environments and International nurseries phenotyped in 136 environments) using pedigree- and markerbased prediction in spring bread wheat and propose using these models in a real breeding program to complement conventional phenotype-based selection.
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