Genetic Gains in Grain Yield Through Genomic Selection in Eight Bi-parental Maize Populations under Drought Stress
By Y. Beyene, K. Semagn, S. Mugo, A. Tarekegne, R. Babu, B. Meisel, Pierre Sehabiague, D. Makumbi, Cosmos Magorokosho, S. Oikeh and 6 more. 2015
255 citations recorded by the source corpus.
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 managed drought stress environments. In each population, 148 to 300 F₂:₃ (C₀) progenies were derived and crossed to a single-cross tester from a complementary heterotic group. The resulting testcrosses of each population were evaluated under two to four managed drought stress and three to four well-watered conditions in different locations and genotyped with 191 to 286 single nucleotide polymorphism (SNP) markers. The top 10% families were selected from C₀ using a phenotypic selection index and were intermated to form C₁. Selections both at C₁ and C₂ were based on genomic estimated breeding values (GEBVs). The best lines from C₀ were also advanced using a pedigree selection scheme. For genetic gain studies, a total of 55 entries representing the eight populations were crossed to a single-cross tester, and evaluated in four managed drought stress environments. Each population was represented by bulk seed containing equal amounts of seed of C₀, C₁, C₂, C₃, parents, F₁s, and lines developed via pedigree selection. Five commercial checks were included for comparison. The average gain from genomic selection per cycle across eight populations was 0.086 Mg ha–¹. The average grain yield of C₃–derived hybrids was significantly higher than that of hybrids derived from C₀. Hybrids derived from C₃ produced 7.3% (0.176 Mg ha–¹) higher grain yield than those developed through the conventional pedigree breeding method. The study demonstrated that genomic selection is more effective than pedigree-based conventional phenotypic selection for increasing genetic gains in grain yield under drought stress in tropical maize.
Subfields: Genetics, Plant Science
View Paper: https://www.semanticscholar.org/paper/72edbe7ebe37f6ba1e5ee54bb46db23e85da26ae
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Juan Burgueño
- K. Semagn
- Boddupalli M. Prasanna
- Jose Crossa
- Cosmos Magorokosho
- M. Bänziger
- G. Atlin
- K. Pixley
In Plant Science
- Juan Burgueño
- K. Semagn
- Jose Crossa
- Boddupalli M. Prasanna
- Jill E. Cairns
- Cosmos Magorokosho
- G. Atlin
- M. Bänziger
Citations in the corpus
- Gains in Maize Genetic Improvement in Eastern and Southern Africa: II. CIMMYT Open-Pollinated Variety Breeding Pipeline (2017, background): “org 189 of selection, and accelerating breeding cycles (Cairns et al., 2013a, 2013b; Araus and Cairns, 2014; Beyene et al., 2015; Nair et al., 2015; Masuka et al., 2017).”
- Gains in Maize Genetic Improvement in Eastern and Southern Africa: I. CIMMYT Hybrid Breeding Pipeline (2017, background): “Thus, this study is not a true breeding program assessment, as conducted by Edmeades et al. (1999) and Beyene et al. (2015), where genetic gains within populations Drought Low-N stressOptimal Managed Random MSV ears per plant ns† +0.01 ns ns +0.01”
- Genome‐wide Association for Plant Height and Flowering Time across 15 Tropical Maize Populations under Managed Drought Stress and Well‐Watered Conditions in Sub‐Saharan Africa (2016, methodology): “Details on population development and phenotyping were described previously (Semagn et al. 2013, Beyene et al. 2015).”