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Environmental and genetic regulation of plant height in soybean

BACKGROUND: Shoot architecture is fundamentally crucial to crop growth and productivity. As a key component of shoot architecture, plant height is known to be controlled by both genetic and environmental factors, though specific details remain scarce. RESULTS: In this study, 308 representative soybe...

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Autores principales: Yang, Qing, Lin, Gaoming, Lv, Huiyong, Wang, Cunhu, Yang, Yongqing, Liao, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836565/
https://www.ncbi.nlm.nih.gov/pubmed/33494700
http://dx.doi.org/10.1186/s12870-021-02836-7
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author Yang, Qing
Lin, Gaoming
Lv, Huiyong
Wang, Cunhu
Yang, Yongqing
Liao, Hong
author_facet Yang, Qing
Lin, Gaoming
Lv, Huiyong
Wang, Cunhu
Yang, Yongqing
Liao, Hong
author_sort Yang, Qing
collection PubMed
description BACKGROUND: Shoot architecture is fundamentally crucial to crop growth and productivity. As a key component of shoot architecture, plant height is known to be controlled by both genetic and environmental factors, though specific details remain scarce. RESULTS: In this study, 308 representative soybean lines from a core collection and 168 F(9) soybean progeny were planted at distinct field sites. The results demonstrated the presence of significant genotype × environment interaction (G × E) effects on traits associated with plant height in a natural soybean population. In total, 19 loci containing 51 QTLs (quantitative trait locus) for plant height were identified across four environments, with 23, 13 and 15 being QTLs for SH (shoot height), SNN (stem node number) and AIL (average internode length), respectively. Significant LOD ranging from 2.50 to 16.46 explained 2.80–26.10% of phenotypic variation. Intriguingly, only two loci, Loc11 and Loc19–1, containing 20 QTLs, were simultaneously detected across all environments. Results from Pearson correlation analysis and PCA (principal component analysis) revealed that each of the five agro-meteorological factors and four soil properties significantly affected soybean plant height traits, and that the corresponding QTLs had additive effects. Among significant environmental factors, AD (average day-length), AMaT (average maximum temperature), pH, and AN (available nitrogen) had the largest impacts on soybean plant height. Therefore, in spite of uncontrollable agro-meteorological factors, soybean shoot architecture might be remolded through combined efforts to produce superior soybean genetic materials while also optimizing soil properties. CONCLUSIONS: Overall, the comprehensive set of relationships outlined herein among environment factors, soybean genotypes and QTLs in effects on plant height opens new avenues to explore in work aiming to increase soybean yield through improvements in shoot architecture. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-02836-7.
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spelling pubmed-78365652021-01-26 Environmental and genetic regulation of plant height in soybean Yang, Qing Lin, Gaoming Lv, Huiyong Wang, Cunhu Yang, Yongqing Liao, Hong BMC Plant Biol Research Article BACKGROUND: Shoot architecture is fundamentally crucial to crop growth and productivity. As a key component of shoot architecture, plant height is known to be controlled by both genetic and environmental factors, though specific details remain scarce. RESULTS: In this study, 308 representative soybean lines from a core collection and 168 F(9) soybean progeny were planted at distinct field sites. The results demonstrated the presence of significant genotype × environment interaction (G × E) effects on traits associated with plant height in a natural soybean population. In total, 19 loci containing 51 QTLs (quantitative trait locus) for plant height were identified across four environments, with 23, 13 and 15 being QTLs for SH (shoot height), SNN (stem node number) and AIL (average internode length), respectively. Significant LOD ranging from 2.50 to 16.46 explained 2.80–26.10% of phenotypic variation. Intriguingly, only two loci, Loc11 and Loc19–1, containing 20 QTLs, were simultaneously detected across all environments. Results from Pearson correlation analysis and PCA (principal component analysis) revealed that each of the five agro-meteorological factors and four soil properties significantly affected soybean plant height traits, and that the corresponding QTLs had additive effects. Among significant environmental factors, AD (average day-length), AMaT (average maximum temperature), pH, and AN (available nitrogen) had the largest impacts on soybean plant height. Therefore, in spite of uncontrollable agro-meteorological factors, soybean shoot architecture might be remolded through combined efforts to produce superior soybean genetic materials while also optimizing soil properties. CONCLUSIONS: Overall, the comprehensive set of relationships outlined herein among environment factors, soybean genotypes and QTLs in effects on plant height opens new avenues to explore in work aiming to increase soybean yield through improvements in shoot architecture. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-02836-7. BioMed Central 2021-01-25 /pmc/articles/PMC7836565/ /pubmed/33494700 http://dx.doi.org/10.1186/s12870-021-02836-7 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Yang, Qing
Lin, Gaoming
Lv, Huiyong
Wang, Cunhu
Yang, Yongqing
Liao, Hong
Environmental and genetic regulation of plant height in soybean
title Environmental and genetic regulation of plant height in soybean
title_full Environmental and genetic regulation of plant height in soybean
title_fullStr Environmental and genetic regulation of plant height in soybean
title_full_unstemmed Environmental and genetic regulation of plant height in soybean
title_short Environmental and genetic regulation of plant height in soybean
title_sort environmental and genetic regulation of plant height in soybean
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836565/
https://www.ncbi.nlm.nih.gov/pubmed/33494700
http://dx.doi.org/10.1186/s12870-021-02836-7
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