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Genomic Prediction of Yield Traits in Single-Cross Hybrid Rice (Oryza sativa L.)

Hybrid rice varieties can outyield the best inbred varieties by 15 – 30% with appropriate management. However, hybrid rice requires more inputs and management than inbred rice to realize a yield advantage in high-yielding environments. The development of stress-tolerant hybrid rice with lowered inpu...

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Autores principales: Labroo, Marlee R., Ali, Jauhar, Aslam, M. Umair, de Asis, Erik Jon, dela Paz, Madonna A., Sevilla, M. Anna, Lipka, Alexander E., Studer, Anthony J., Rutkoski, Jessica E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8278103/
https://www.ncbi.nlm.nih.gov/pubmed/34276796
http://dx.doi.org/10.3389/fgene.2021.692870
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author Labroo, Marlee R.
Ali, Jauhar
Aslam, M. Umair
de Asis, Erik Jon
dela Paz, Madonna A.
Sevilla, M. Anna
Lipka, Alexander E.
Studer, Anthony J.
Rutkoski, Jessica E.
author_facet Labroo, Marlee R.
Ali, Jauhar
Aslam, M. Umair
de Asis, Erik Jon
dela Paz, Madonna A.
Sevilla, M. Anna
Lipka, Alexander E.
Studer, Anthony J.
Rutkoski, Jessica E.
author_sort Labroo, Marlee R.
collection PubMed
description Hybrid rice varieties can outyield the best inbred varieties by 15 – 30% with appropriate management. However, hybrid rice requires more inputs and management than inbred rice to realize a yield advantage in high-yielding environments. The development of stress-tolerant hybrid rice with lowered input requirements could increase hybrid rice yield relative to production costs. We used genomic prediction to evaluate the combining abilities of 564 stress-tolerant lines used to develop Green Super Rice with 13 male sterile lines of the International Rice Research Institute for yield-related traits. We also evaluated the performance of their F(1) hybrids. We identified male sterile lines with good combining ability as well as F(1) hybrids with potential further use in product development. For yield per plant, accuracies of genomic predictions of hybrid genetic values ranged from 0.490 to 0.822 in cross-validation if neither parent or up to both parents were included in the training set, and both general and specific combining abilities were modeled. The accuracy of phenotypic selection for hybrid yield per plant was 0.682. The accuracy of genomic predictions of male GCA for yield per plant was 0.241, while the accuracy of phenotypic selection was 0.562. At the observed accuracies, genomic prediction of hybrid genetic value could allow improved identification of high-performing single crosses. In a reciprocal recurrent genomic selection program with an accelerated breeding cycle, observed male GCA genomic prediction accuracies would lead to similar rates of genetic gain as phenotypic selection. It is likely that prediction accuracies of male GCA could be improved further by targeted expansion of the training set. Additionally, we tested the correlation of parental genetic distance with mid-parent heterosis in the phenotyped hybrids. We found the average mid-parent heterosis for yield per plant to be consistent with existing literature values at 32.0%. In the overall population of study, parental genetic distance was significantly negatively correlated with mid-parent heterosis for yield per plant (r = −0.131) and potential yield (r = −0.092), but within female families the correlations were non-significant and near zero. As such, positive parental genetic distance was not reliably associated with positive mid-parent heterosis.
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spelling pubmed-82781032021-07-15 Genomic Prediction of Yield Traits in Single-Cross Hybrid Rice (Oryza sativa L.) Labroo, Marlee R. Ali, Jauhar Aslam, M. Umair de Asis, Erik Jon dela Paz, Madonna A. Sevilla, M. Anna Lipka, Alexander E. Studer, Anthony J. Rutkoski, Jessica E. Front Genet Genetics Hybrid rice varieties can outyield the best inbred varieties by 15 – 30% with appropriate management. However, hybrid rice requires more inputs and management than inbred rice to realize a yield advantage in high-yielding environments. The development of stress-tolerant hybrid rice with lowered input requirements could increase hybrid rice yield relative to production costs. We used genomic prediction to evaluate the combining abilities of 564 stress-tolerant lines used to develop Green Super Rice with 13 male sterile lines of the International Rice Research Institute for yield-related traits. We also evaluated the performance of their F(1) hybrids. We identified male sterile lines with good combining ability as well as F(1) hybrids with potential further use in product development. For yield per plant, accuracies of genomic predictions of hybrid genetic values ranged from 0.490 to 0.822 in cross-validation if neither parent or up to both parents were included in the training set, and both general and specific combining abilities were modeled. The accuracy of phenotypic selection for hybrid yield per plant was 0.682. The accuracy of genomic predictions of male GCA for yield per plant was 0.241, while the accuracy of phenotypic selection was 0.562. At the observed accuracies, genomic prediction of hybrid genetic value could allow improved identification of high-performing single crosses. In a reciprocal recurrent genomic selection program with an accelerated breeding cycle, observed male GCA genomic prediction accuracies would lead to similar rates of genetic gain as phenotypic selection. It is likely that prediction accuracies of male GCA could be improved further by targeted expansion of the training set. Additionally, we tested the correlation of parental genetic distance with mid-parent heterosis in the phenotyped hybrids. We found the average mid-parent heterosis for yield per plant to be consistent with existing literature values at 32.0%. In the overall population of study, parental genetic distance was significantly negatively correlated with mid-parent heterosis for yield per plant (r = −0.131) and potential yield (r = −0.092), but within female families the correlations were non-significant and near zero. As such, positive parental genetic distance was not reliably associated with positive mid-parent heterosis. Frontiers Media S.A. 2021-06-30 /pmc/articles/PMC8278103/ /pubmed/34276796 http://dx.doi.org/10.3389/fgene.2021.692870 Text en Copyright © 2021 Labroo, Ali, Aslam, de Asis, dela Paz, Sevilla, Lipka, Studer and Rutkoski. 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 Genetics
Labroo, Marlee R.
Ali, Jauhar
Aslam, M. Umair
de Asis, Erik Jon
dela Paz, Madonna A.
Sevilla, M. Anna
Lipka, Alexander E.
Studer, Anthony J.
Rutkoski, Jessica E.
Genomic Prediction of Yield Traits in Single-Cross Hybrid Rice (Oryza sativa L.)
title Genomic Prediction of Yield Traits in Single-Cross Hybrid Rice (Oryza sativa L.)
title_full Genomic Prediction of Yield Traits in Single-Cross Hybrid Rice (Oryza sativa L.)
title_fullStr Genomic Prediction of Yield Traits in Single-Cross Hybrid Rice (Oryza sativa L.)
title_full_unstemmed Genomic Prediction of Yield Traits in Single-Cross Hybrid Rice (Oryza sativa L.)
title_short Genomic Prediction of Yield Traits in Single-Cross Hybrid Rice (Oryza sativa L.)
title_sort genomic prediction of yield traits in single-cross hybrid rice (oryza sativa l.)
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8278103/
https://www.ncbi.nlm.nih.gov/pubmed/34276796
http://dx.doi.org/10.3389/fgene.2021.692870
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