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| Uate, Joaquim Vicente; Nunvuga, Joel Jorge; Silva, Carlos Pereira da; Guimarães, Lauro Jose Moreira; Pinho, Renzo Garcia Von; Balestre, Marcio. |
| Maize breeding programs conduct multi-environment trials every year to assess the performance of new cultivars in pre-releasing tests. The data are combined across sites and seasons to perform a joint analysis in order to obtain information that will help breeders to select the best cultivars for different environments. Beyond this, it is essential to understand the different factors that can hamper the selection and genetic progress (i.e., genetic variability, selection intensity and genotype-by-environment interactions). In this study, the genetic progress (GP) was estimated and the adaptability and stability of 81 maize genotypes were evaluated in a series of trials for the value of cultivation and use (VCU) between the 2010/11 and 2014/15 growing... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Mixed model; Genetic gain; Biplot.. |
| Ano: 2019 |
URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42624 |
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| Uate, Joaquim Vicente; Nunvuga, Joel Jorge; Silva, Carlos Pereira da; Guimarães, Lauro Jose Moreira; Pinho, Renzo Garcia Von; Balestre, Marcio. |
| Maize breeding programs conduct multi-environment trials every year to assess the performance of new cultivars in pre-releasing tests. The data are combined across sites and seasons to perform a joint analysis in order to obtain information that will help breeders to select the best cultivars for different environments. Beyond this, it is essential to understand the different factors that can hamper the selection and genetic progress (i.e., genetic variability, selection intensity and genotype-by-environment interactions). In this study, the genetic progress (GP) was estimated and the adaptability and stability of 81 maize genotypes were evaluated in a series of trials for the value of cultivation and use (VCU) between the 2010/11 and 2014/15 growing... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Mixed model; Genetic gain; Biplot.. |
| Ano: 2019 |
URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42624 |
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