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Association Analysis of Grain-setting Rates in Apical and Basal Spikelets in Bread Wheat (Triticum aestivum L.)

The rates of grain-setting in apical and basal spikelets in wheat directly affect the kernel number per spike (KNPS). In this study, 220 wheat lines from 18 Chinese provinces and five foreign countries were used as a natural population. Phenotypic analysis showed differences in grain-setting rates b...

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Autores principales: Guo, Jie, Zhang, Yong, Shi, Weiping, Zhang, Boqiao, Zhang, Jingjuan, Xu, Yanhao, Cheng, Xiaoming, Cheng, Kai, Zhang, Xueyong, Hao, Chenyang, Cheng, Shunhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4653486/
https://www.ncbi.nlm.nih.gov/pubmed/26635852
http://dx.doi.org/10.3389/fpls.2015.01029
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author Guo, Jie
Zhang, Yong
Shi, Weiping
Zhang, Boqiao
Zhang, Jingjuan
Xu, Yanhao
Cheng, Xiaoming
Cheng, Kai
Zhang, Xueyong
Hao, Chenyang
Cheng, Shunhe
author_facet Guo, Jie
Zhang, Yong
Shi, Weiping
Zhang, Boqiao
Zhang, Jingjuan
Xu, Yanhao
Cheng, Xiaoming
Cheng, Kai
Zhang, Xueyong
Hao, Chenyang
Cheng, Shunhe
author_sort Guo, Jie
collection PubMed
description The rates of grain-setting in apical and basal spikelets in wheat directly affect the kernel number per spike (KNPS). In this study, 220 wheat lines from 18 Chinese provinces and five foreign countries were used as a natural population. Phenotypic analysis showed differences in grain-setting rates between apical and basal spikelets. The broad-sense heritability of grain-setting rate in apical spikelets (18.7–21.0%) was higher than that for basal spikelets (9.4–16.4%). Significant correlations were found between KNPS and grain numbers in apical (R(2) = 0.40–0.45, P < 0.01) and basal (R(2) = 0.41–0.56, P < 0.01) spikelets. Seventy two of 106 SSR markers were associated with grain setting, 32 for apical spikelets, and 34 for basal spikelets. The SSR loci were located on 17 chromosomes, except 3A, 3D, 4A, and 7D, and explained 3.7–22.9% of the phenotypic variance. Four markers, Xcfa2153-1A(202), Xgwm186-5A(118), Xgwm156-3B(319), and Xgwm537-7B(210), showed the largest effects on grain numbers in apical and basal spikelets. High grain numbers in apical and basal spikelets were associated with elite alleles. Ningmai 9, Ning 0569, and Yangmai 18 with high grain-setting rates carried larger numbers of favorable alleles. Comparison of grain numbers in basal and apical spikelets of 35 Yangmai and Ningmai lines indicated that the Ningmai lines had better grain-setting rates (mean 21.4) than the Yangmai lines (16.5).
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spelling pubmed-46534862015-12-03 Association Analysis of Grain-setting Rates in Apical and Basal Spikelets in Bread Wheat (Triticum aestivum L.) Guo, Jie Zhang, Yong Shi, Weiping Zhang, Boqiao Zhang, Jingjuan Xu, Yanhao Cheng, Xiaoming Cheng, Kai Zhang, Xueyong Hao, Chenyang Cheng, Shunhe Front Plant Sci Plant Science The rates of grain-setting in apical and basal spikelets in wheat directly affect the kernel number per spike (KNPS). In this study, 220 wheat lines from 18 Chinese provinces and five foreign countries were used as a natural population. Phenotypic analysis showed differences in grain-setting rates between apical and basal spikelets. The broad-sense heritability of grain-setting rate in apical spikelets (18.7–21.0%) was higher than that for basal spikelets (9.4–16.4%). Significant correlations were found between KNPS and grain numbers in apical (R(2) = 0.40–0.45, P < 0.01) and basal (R(2) = 0.41–0.56, P < 0.01) spikelets. Seventy two of 106 SSR markers were associated with grain setting, 32 for apical spikelets, and 34 for basal spikelets. The SSR loci were located on 17 chromosomes, except 3A, 3D, 4A, and 7D, and explained 3.7–22.9% of the phenotypic variance. Four markers, Xcfa2153-1A(202), Xgwm186-5A(118), Xgwm156-3B(319), and Xgwm537-7B(210), showed the largest effects on grain numbers in apical and basal spikelets. High grain numbers in apical and basal spikelets were associated with elite alleles. Ningmai 9, Ning 0569, and Yangmai 18 with high grain-setting rates carried larger numbers of favorable alleles. Comparison of grain numbers in basal and apical spikelets of 35 Yangmai and Ningmai lines indicated that the Ningmai lines had better grain-setting rates (mean 21.4) than the Yangmai lines (16.5). Frontiers Media S.A. 2015-11-20 /pmc/articles/PMC4653486/ /pubmed/26635852 http://dx.doi.org/10.3389/fpls.2015.01029 Text en Copyright © 2015 Guo, Zhang, Shi, Zhang, Zhang, Xu, Cheng, Cheng, Zhang, Hao and Cheng. http://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) or licensor 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
Guo, Jie
Zhang, Yong
Shi, Weiping
Zhang, Boqiao
Zhang, Jingjuan
Xu, Yanhao
Cheng, Xiaoming
Cheng, Kai
Zhang, Xueyong
Hao, Chenyang
Cheng, Shunhe
Association Analysis of Grain-setting Rates in Apical and Basal Spikelets in Bread Wheat (Triticum aestivum L.)
title Association Analysis of Grain-setting Rates in Apical and Basal Spikelets in Bread Wheat (Triticum aestivum L.)
title_full Association Analysis of Grain-setting Rates in Apical and Basal Spikelets in Bread Wheat (Triticum aestivum L.)
title_fullStr Association Analysis of Grain-setting Rates in Apical and Basal Spikelets in Bread Wheat (Triticum aestivum L.)
title_full_unstemmed Association Analysis of Grain-setting Rates in Apical and Basal Spikelets in Bread Wheat (Triticum aestivum L.)
title_short Association Analysis of Grain-setting Rates in Apical and Basal Spikelets in Bread Wheat (Triticum aestivum L.)
title_sort association analysis of grain-setting rates in apical and basal spikelets in bread wheat (triticum aestivum l.)
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4653486/
https://www.ncbi.nlm.nih.gov/pubmed/26635852
http://dx.doi.org/10.3389/fpls.2015.01029
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