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Identification of quantitative trait loci associated with canopy temperature in soybean
A consistent risk for soybean (Glycine max L.) production is the impact of drought on growth and yield. Canopy temperature (CT) is an indirect measure of transpiration rate and stomatal conductance and may be valuable in distinguishing differences among genotypes in response to drought. The objectiv...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7572360/ https://www.ncbi.nlm.nih.gov/pubmed/33077811 http://dx.doi.org/10.1038/s41598-020-74614-8 |
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author | Bazzer, Sumandeep K. Purcell, Larry C. |
author_facet | Bazzer, Sumandeep K. Purcell, Larry C. |
author_sort | Bazzer, Sumandeep K. |
collection | PubMed |
description | A consistent risk for soybean (Glycine max L.) production is the impact of drought on growth and yield. Canopy temperature (CT) is an indirect measure of transpiration rate and stomatal conductance and may be valuable in distinguishing differences among genotypes in response to drought. The objective of this study was to map quantitative trait loci (QTLs) associated with CT using thermal infrared imaging in a population of recombinant inbred lines developed from a cross between KS4895 and Jackson. Heritability of CT was 35% when estimated across environments. QTL analysis identified 11 loci for CT distributed on eight chromosomes that individually explained between 4.6 and 12.3% of the phenotypic variation. The locus on Gm11 was identified in two individual environments and across environments and explained the highest proportion of phenotypic variation (9.3% to 11.5%) in CT. Several of these CT loci coincided with the genomic regions from previous studies associated with canopy wilting, canopy temperature, water use efficiency, and other morpho-physiological traits related with drought tolerance. Candidate genes with biological function related to transpiration, root development, and signal transduction underlie these putative CT loci. These genomic regions may be important resources in soybean breeding programs to improve tolerance to drought. |
format | Online Article Text |
id | pubmed-7572360 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75723602020-10-21 Identification of quantitative trait loci associated with canopy temperature in soybean Bazzer, Sumandeep K. Purcell, Larry C. Sci Rep Article A consistent risk for soybean (Glycine max L.) production is the impact of drought on growth and yield. Canopy temperature (CT) is an indirect measure of transpiration rate and stomatal conductance and may be valuable in distinguishing differences among genotypes in response to drought. The objective of this study was to map quantitative trait loci (QTLs) associated with CT using thermal infrared imaging in a population of recombinant inbred lines developed from a cross between KS4895 and Jackson. Heritability of CT was 35% when estimated across environments. QTL analysis identified 11 loci for CT distributed on eight chromosomes that individually explained between 4.6 and 12.3% of the phenotypic variation. The locus on Gm11 was identified in two individual environments and across environments and explained the highest proportion of phenotypic variation (9.3% to 11.5%) in CT. Several of these CT loci coincided with the genomic regions from previous studies associated with canopy wilting, canopy temperature, water use efficiency, and other morpho-physiological traits related with drought tolerance. Candidate genes with biological function related to transpiration, root development, and signal transduction underlie these putative CT loci. These genomic regions may be important resources in soybean breeding programs to improve tolerance to drought. Nature Publishing Group UK 2020-10-19 /pmc/articles/PMC7572360/ /pubmed/33077811 http://dx.doi.org/10.1038/s41598-020-74614-8 Text en © The Author(s) 2020 Open Access This 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/. |
spellingShingle | Article Bazzer, Sumandeep K. Purcell, Larry C. Identification of quantitative trait loci associated with canopy temperature in soybean |
title | Identification of quantitative trait loci associated with canopy temperature in soybean |
title_full | Identification of quantitative trait loci associated with canopy temperature in soybean |
title_fullStr | Identification of quantitative trait loci associated with canopy temperature in soybean |
title_full_unstemmed | Identification of quantitative trait loci associated with canopy temperature in soybean |
title_short | Identification of quantitative trait loci associated with canopy temperature in soybean |
title_sort | identification of quantitative trait loci associated with canopy temperature in soybean |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7572360/ https://www.ncbi.nlm.nih.gov/pubmed/33077811 http://dx.doi.org/10.1038/s41598-020-74614-8 |
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