Genetic gains in grain yield through genomic selection in eight bi-parental maize populations under drought stress

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 dr...

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Autores: Beyene, Y., Semagn, K., Mugo, S.N., Tarekegne, A.T., Babu, R., Meisel, B., Sehabiague, P., Makumbi, D., Magorokosho, C., Oikeh, S.O., Gakunga, J., Vargas Hernández, M., Olsen, M., Prasanna, B.M., Banziger, M., Crossa, J.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2015
País:México
Institución:Centro Internacional de Mejoramiento de Maíz y Trigo
Repositorio:Repositorio Institucional de Publicaciones Multimedia del CIMMYT
OAI Identifier:oai:repository.cimmyt.org:10883/21454
Acceso en línea:https://hdl.handle.net/10883/21454
Access Level:acceso abierto
Palabra clave:AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
MAIZE
GENETIC GAIN
YIELDS
ARTIFICIAL SELECTION
SINGLE NUCLEOTIDE POLYMORPHISM
DROUGHT
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spelling Genetic gains in grain yield through genomic selection in eight bi-parental maize populations under drought stressBeyene, Y.Semagn, K.Mugo, S.N.Tarekegne, A.T.Babu, R.Meisel, B.Sehabiague, P.Makumbi, D.Magorokosho, C.Oikeh, S.O.Gakunga, J.Vargas Hernández, M.Olsen, M.Prasanna, B.M.Banziger, M.Crossa, J.AGRICULTURAL SCIENCES AND BIOTECHNOLOGYMAIZEGENETIC GAINYIELDSARTIFICIAL SELECTIONSINGLE NUCLEOTIDE POLYMORPHISMDROUGHTGenomic 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.154-163CSSAWiley2021-04-20T17:14:34Z2021-04-20T17:14:34Z2015Published Versioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10883/2145410.2135/cropsci2014.07.04601550011-183XCrop Sciencereponame:Repositorio Institucional de Publicaciones Multimedia del CIMMYTinstname:Centro Internacional de Mejoramiento de Maíz y Trigoinstacron:CIMMYTEnglishMadison, WI (USA)CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.Open Accessinfo:eu-repo/semantics/openAccessoai:repository.cimmyt.org:10883/214542024-10-11T19:56:40Z
dc.title.none.fl_str_mv Genetic gains in grain yield through genomic selection in eight bi-parental maize populations under drought stress
title Genetic gains in grain yield through genomic selection in eight bi-parental maize populations under drought stress
spellingShingle Genetic gains in grain yield through genomic selection in eight bi-parental maize populations under drought stress
Beyene, Y.
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
MAIZE
GENETIC GAIN
YIELDS
ARTIFICIAL SELECTION
SINGLE NUCLEOTIDE POLYMORPHISM
DROUGHT
title_short Genetic gains in grain yield through genomic selection in eight bi-parental maize populations under drought stress
title_full Genetic gains in grain yield through genomic selection in eight bi-parental maize populations under drought stress
title_fullStr Genetic gains in grain yield through genomic selection in eight bi-parental maize populations under drought stress
title_full_unstemmed Genetic gains in grain yield through genomic selection in eight bi-parental maize populations under drought stress
title_sort Genetic gains in grain yield through genomic selection in eight bi-parental maize populations under drought stress
dc.creator.none.fl_str_mv Beyene, Y.
Semagn, K.
Mugo, S.N.
Tarekegne, A.T.
Babu, R.
Meisel, B.
Sehabiague, P.
Makumbi, D.
Magorokosho, C.
Oikeh, S.O.
Gakunga, J.
Vargas Hernández, M.
Olsen, M.
Prasanna, B.M.
Banziger, M.
Crossa, J.
author Beyene, Y.
author_facet Beyene, Y.
Semagn, K.
Mugo, S.N.
Tarekegne, A.T.
Babu, R.
Meisel, B.
Sehabiague, P.
Makumbi, D.
Magorokosho, C.
Oikeh, S.O.
Gakunga, J.
Vargas Hernández, M.
Olsen, M.
Prasanna, B.M.
Banziger, M.
Crossa, J.
author_role author
author2 Semagn, K.
Mugo, S.N.
Tarekegne, A.T.
Babu, R.
Meisel, B.
Sehabiague, P.
Makumbi, D.
Magorokosho, C.
Oikeh, S.O.
Gakunga, J.
Vargas Hernández, M.
Olsen, M.
Prasanna, B.M.
Banziger, M.
Crossa, J.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
MAIZE
GENETIC GAIN
YIELDS
ARTIFICIAL SELECTION
SINGLE NUCLEOTIDE POLYMORPHISM
DROUGHT
topic AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
MAIZE
GENETIC GAIN
YIELDS
ARTIFICIAL SELECTION
SINGLE NUCLEOTIDE POLYMORPHISM
DROUGHT
description 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.
publishDate 2015
dc.date.none.fl_str_mv 2015
2021-04-20T17:14:34Z
2021-04-20T17:14:34Z
dc.type.none.fl_str_mv Published Version
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/10883/21454
10.2135/cropsci2014.07.0460
url https://hdl.handle.net/10883/21454
identifier_str_mv 10.2135/cropsci2014.07.0460
dc.language.none.fl_str_mv English
language_invalid_str_mv English
dc.rights.none.fl_str_mv Open Access
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Open Access
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Madison, WI (USA)
dc.publisher.none.fl_str_mv CSSA
Wiley
publisher.none.fl_str_mv CSSA
Wiley
dc.source.none.fl_str_mv 1
55
0011-183X
Crop Science
reponame:Repositorio Institucional de Publicaciones Multimedia del CIMMYT
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instacron_str CIMMYT
institution CIMMYT
reponame_str Repositorio Institucional de Publicaciones Multimedia del CIMMYT
collection Repositorio Institucional de Publicaciones Multimedia del CIMMYT
repository.name.fl_str_mv
repository.mail.fl_str_mv
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