Article
Improving accuracies of genomic predictions for drought tolerance in maize by joint modeling of additive and dominance effects in multi-environment trials.
Heredity - 1 Jul 2018
Dias Kaio Olímpio Das Graças, Gezan Salvador Alejandro, Guimarães Claudia Teixeira, Nazarian Alireza, da Costa E Silva Luciano, Parentoni Sidney Netto, de Oliveira Guimarães Paulo Evaristo, de Oliveira Anoni Carina, Pádua José Maria Villela, de Oliveira Pinto Marcos, Noda Roberto Willians, Ribeiro Carlos Alexandre Gomes, de Magalhães Jurandir Vieira, Garcia Antonio Augusto Franco, de Souza João Cândido, Guimarães Lauro José Moreira, Pastina Maria Marta
Abstract excerpt
Breeding for drought tolerance is a challenging task that requires costly, extensive, and precise phenotyping. Genomic selection (GS) can be used to maximize selection efficiency and the genetic gains in maize (Zea mays L.) breeding programs for drought tolerance. Here, we evaluated the accuracy of genomic selection (GS) using additive (A) and additive + dominance (AD) models to predict the performance of...
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