Genetic Gains in Grain Yield Through Genomic Selection in Eight Bi‐parental Maize Populations under Drought Stress

Beyene, Yoseph; Semagn, Kassa; Mugo, Stephen; Tarekegne, Amsal; Babu, Raman; Meisel, Barbara; Sehabiague, Pierre; Makumbi, Dan; Magorokosho, Cosmos; O. Oikeh, Sylvester; Gakunga, John; Vargas, Mateo; Olsen, Michael; M. Prasanna, B.; Bänziger, Marianne; Crossa, José

doi:10.2135/cropsci2014.07.0460

Public

Genetic Gains in Grain Yield Through Genomic Selection in Eight Bi‐parental Maize Populations under Drought Stress

Published in Crop Science • Dec 22, 2014

Authors:

Yoseph Beyene

Kassa Semagn

Stephen Mugo

Abstract

ABSTRACT Genomic selection incorporates all the available marker information into a model to predict genetic values of breeding progenies for selection. The objective of this study was to estimate genetic gains in grain yield from genomic selection (GS) in eight bi‐parental maize populations under m...

Subject

Biology

Selection (genetic algorithm)

Genetic gain

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