Genomic prediction of rice mesocotyl length indicative of directing seeding suitability using a half-sib hybrid population

Direct seeding has been widely adopted as an economical and labor-saving technique in rice production, though problems such as low seedling emergence rate, emergence irregularity and poor lodging resistance are existing. These problems are currently partially overcome by increasing seeding rate, how...

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Autores principales: Chen, Liang, Liu, Jindong, He, Sang, Cao, Liyong, Ye, Guoyou
Formato: Journal Article
Lenguaje:Inglés
Publicado: 2023
Materias:
Acceso en línea:https://hdl.handle.net/10568/163964
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author Chen, Liang
Liu, Jindong
He, Sang
Cao, Liyong
Ye, Guoyou
author_browse Cao, Liyong
Chen, Liang
He, Sang
Liu, Jindong
Ye, Guoyou
author_facet Chen, Liang
Liu, Jindong
He, Sang
Cao, Liyong
Ye, Guoyou
author_sort Chen, Liang
collection Repository of Agricultural Research Outputs (CGSpace)
description Direct seeding has been widely adopted as an economical and labor-saving technique in rice production, though problems such as low seedling emergence rate, emergence irregularity and poor lodging resistance are existing. These problems are currently partially overcome by increasing seeding rate, however it is not acceptable for hybrid rice due to the high seed cost. Improving direct seeding by breeding is seen as the ultimate solution to these problems. For hybrid breeding, identifying superior hybrids among a massive number of hybrids from crossings between male and female parental populations by phenotypic evaluation is tedious and costly. Contrastingly, genomic selection/prediction (GS/GP) could efficiently detect the superior hybrids capitalizing on genomic data, which holds a great potential in plant hybrids breeding. In this study, we utilized 402 rice inbred varieties and 401 hybrids to investigate the effectiveness of GS on rice mesocotyl length, a representative indicative trait of direct seeding suitability. Several GP methods and training set designs were studied to seek the optimal scenario of hybrid prediction. It was shown that using half-sib hybrids as training set with the phenotypes of all parental lines being fitted as a covariate could optimally predict mesocotyl length. Partitioning the molecular markers into trait-associated and -unassociated groups based on genome-wide association study using all parental lines and hybrids could further improve the prediction accuracy. This study indicates that GS could be an effective and efficient method for hybrid breeding for rice direct seeding.
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spelling CGSpace1639642025-10-26T12:52:25Z Genomic prediction of rice mesocotyl length indicative of directing seeding suitability using a half-sib hybrid population Chen, Liang Liu, Jindong He, Sang Cao, Liyong Ye, Guoyou direct seeding lodging resistance seeding rate breeding molecular markers efficiency Direct seeding has been widely adopted as an economical and labor-saving technique in rice production, though problems such as low seedling emergence rate, emergence irregularity and poor lodging resistance are existing. These problems are currently partially overcome by increasing seeding rate, however it is not acceptable for hybrid rice due to the high seed cost. Improving direct seeding by breeding is seen as the ultimate solution to these problems. For hybrid breeding, identifying superior hybrids among a massive number of hybrids from crossings between male and female parental populations by phenotypic evaluation is tedious and costly. Contrastingly, genomic selection/prediction (GS/GP) could efficiently detect the superior hybrids capitalizing on genomic data, which holds a great potential in plant hybrids breeding. In this study, we utilized 402 rice inbred varieties and 401 hybrids to investigate the effectiveness of GS on rice mesocotyl length, a representative indicative trait of direct seeding suitability. Several GP methods and training set designs were studied to seek the optimal scenario of hybrid prediction. It was shown that using half-sib hybrids as training set with the phenotypes of all parental lines being fitted as a covariate could optimally predict mesocotyl length. Partitioning the molecular markers into trait-associated and -unassociated groups based on genome-wide association study using all parental lines and hybrids could further improve the prediction accuracy. This study indicates that GS could be an effective and efficient method for hybrid breeding for rice direct seeding. 2023-04-05 2024-12-19T12:53:14Z 2024-12-19T12:53:14Z Journal Article https://hdl.handle.net/10568/163964 en Open Access Chen, Liang; Liu, Jindong; He, Sang; Cao, Liyong and Ye, Guoyou. 2023. Genomic prediction of rice mesocotyl length indicative of directing seeding suitability using a half-sib hybrid population. PLoS ONE, Volume 18 no. 4 p. e0283989
spellingShingle direct seeding
lodging resistance
seeding rate
breeding
molecular markers
efficiency
Chen, Liang
Liu, Jindong
He, Sang
Cao, Liyong
Ye, Guoyou
Genomic prediction of rice mesocotyl length indicative of directing seeding suitability using a half-sib hybrid population
title Genomic prediction of rice mesocotyl length indicative of directing seeding suitability using a half-sib hybrid population
title_full Genomic prediction of rice mesocotyl length indicative of directing seeding suitability using a half-sib hybrid population
title_fullStr Genomic prediction of rice mesocotyl length indicative of directing seeding suitability using a half-sib hybrid population
title_full_unstemmed Genomic prediction of rice mesocotyl length indicative of directing seeding suitability using a half-sib hybrid population
title_short Genomic prediction of rice mesocotyl length indicative of directing seeding suitability using a half-sib hybrid population
title_sort genomic prediction of rice mesocotyl length indicative of directing seeding suitability using a half sib hybrid population
topic direct seeding
lodging resistance
seeding rate
breeding
molecular markers
efficiency
url https://hdl.handle.net/10568/163964
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