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Genomic versus phenotypic selection to improve corn borer resistance and grain yield in maize
INTRODUCTION: The study of yield and resistance/tolerance to pest are related traits fundamental for maize breeding programs. Genomic selection (GS), which uses all marker information to calculate genomic breeding values, is presented as an emerging alternative to phenotypic and marker-assisted sele...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10360656/ https://www.ncbi.nlm.nih.gov/pubmed/37484478 http://dx.doi.org/10.3389/fpls.2023.1162440 |
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author | Gesteiro, Noemi Ordás, Bernardo Butrón, Ana de la Fuente, María Jiménez-Galindo, José Cruz Samayoa, Luis Fernando Cao, Ana Malvar, Rosa Ana |
author_facet | Gesteiro, Noemi Ordás, Bernardo Butrón, Ana de la Fuente, María Jiménez-Galindo, José Cruz Samayoa, Luis Fernando Cao, Ana Malvar, Rosa Ana |
author_sort | Gesteiro, Noemi |
collection | PubMed |
description | INTRODUCTION: The study of yield and resistance/tolerance to pest are related traits fundamental for maize breeding programs. Genomic selection (GS), which uses all marker information to calculate genomic breeding values, is presented as an emerging alternative to phenotypic and marker-assisted selections for improving complex traits controlled by many genes with small effects. Therefore, although phenotypic selection (PS) has been effective for increasing resistance and yield under high infestation with maize stem borers, higher genetic gains are expected to be obtained through GS based on the complex architecture of both traits. Our objective was to test whether GS is more effective than PS for improving resistance and/or tolerance to maize stem borers and grain yield. METHODS: For this, we compared different selection programs based on phenotype and genotypic value for a single trait, resistance or yield, and for both traits together. RESULTS AND DISCUSSION: We obtained that GS achieved the highest genetic gain for yield, meanwhile phenotypic selection for yield was the program that achieved the highest reduction of tunnel length, but was ineffective for increasing yield. However, phenotypic or genomic selection for increased resistance may be more effective in improving both traits together; although the gains per cycle would be small for both traits. |
format | Online Article Text |
id | pubmed-10360656 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103606562023-07-22 Genomic versus phenotypic selection to improve corn borer resistance and grain yield in maize Gesteiro, Noemi Ordás, Bernardo Butrón, Ana de la Fuente, María Jiménez-Galindo, José Cruz Samayoa, Luis Fernando Cao, Ana Malvar, Rosa Ana Front Plant Sci Plant Science INTRODUCTION: The study of yield and resistance/tolerance to pest are related traits fundamental for maize breeding programs. Genomic selection (GS), which uses all marker information to calculate genomic breeding values, is presented as an emerging alternative to phenotypic and marker-assisted selections for improving complex traits controlled by many genes with small effects. Therefore, although phenotypic selection (PS) has been effective for increasing resistance and yield under high infestation with maize stem borers, higher genetic gains are expected to be obtained through GS based on the complex architecture of both traits. Our objective was to test whether GS is more effective than PS for improving resistance and/or tolerance to maize stem borers and grain yield. METHODS: For this, we compared different selection programs based on phenotype and genotypic value for a single trait, resistance or yield, and for both traits together. RESULTS AND DISCUSSION: We obtained that GS achieved the highest genetic gain for yield, meanwhile phenotypic selection for yield was the program that achieved the highest reduction of tunnel length, but was ineffective for increasing yield. However, phenotypic or genomic selection for increased resistance may be more effective in improving both traits together; although the gains per cycle would be small for both traits. Frontiers Media S.A. 2023-07-07 /pmc/articles/PMC10360656/ /pubmed/37484478 http://dx.doi.org/10.3389/fpls.2023.1162440 Text en Copyright © 2023 Gesteiro, Ordás, Butrón, de la Fuente, Jiménez-Galindo, Samayoa, Cao and Malvar https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Gesteiro, Noemi Ordás, Bernardo Butrón, Ana de la Fuente, María Jiménez-Galindo, José Cruz Samayoa, Luis Fernando Cao, Ana Malvar, Rosa Ana Genomic versus phenotypic selection to improve corn borer resistance and grain yield in maize |
title | Genomic versus phenotypic selection to improve corn borer resistance and grain yield in maize |
title_full | Genomic versus phenotypic selection to improve corn borer resistance and grain yield in maize |
title_fullStr | Genomic versus phenotypic selection to improve corn borer resistance and grain yield in maize |
title_full_unstemmed | Genomic versus phenotypic selection to improve corn borer resistance and grain yield in maize |
title_short | Genomic versus phenotypic selection to improve corn borer resistance and grain yield in maize |
title_sort | genomic versus phenotypic selection to improve corn borer resistance and grain yield in maize |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10360656/ https://www.ncbi.nlm.nih.gov/pubmed/37484478 http://dx.doi.org/10.3389/fpls.2023.1162440 |
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