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Use of hydraulic traits for modeling genotype‐specific acclimation in cotton under drought
Understanding the genetic and physiological basis of abiotic stress tolerance under field conditions is key to varietal crop improvement in the face of climate variability. Here, we investigate dynamic physiological responses to water stress in silico and their relationships to genotypic variation i...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7586954/ https://www.ncbi.nlm.nih.gov/pubmed/32557592 http://dx.doi.org/10.1111/nph.16751 |
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author | Wang, Diane R. Venturas, Martin D. Mackay, D. Scott Hunsaker, Douglas J. Thorp, Kelly R. Gore, Michael A. Pauli, Duke |
author_facet | Wang, Diane R. Venturas, Martin D. Mackay, D. Scott Hunsaker, Douglas J. Thorp, Kelly R. Gore, Michael A. Pauli, Duke |
author_sort | Wang, Diane R. |
collection | PubMed |
description | Understanding the genetic and physiological basis of abiotic stress tolerance under field conditions is key to varietal crop improvement in the face of climate variability. Here, we investigate dynamic physiological responses to water stress in silico and their relationships to genotypic variation in hydraulic traits of cotton (Gossypium hirsutum), an economically important species for renewable textile fiber production. In conjunction with an ecophysiological process‐based model, heterogeneous data (plant hydraulic traits, spatially‐distributed soil texture, soil water content and canopy temperature) were used to examine hydraulic characteristics of cotton, evaluate their consequences on whole plant performance under drought, and explore potential genotype × environment effects. Cotton was found to have R‐shaped hydraulic vulnerability curves (VCs), which were consistent under drought stress initiated at flowering. Stem VCs, expressed as percent loss of conductivity, differed across genotypes, whereas root VCs did not. Simulation results demonstrated how plant physiological stress can depend on the interaction between soil properties and irrigation management, which in turn affect genotypic rankings of transpiration in a time‐dependent manner. Our study shows how a process‐based modeling framework can be used to link genotypic variation in hydraulic traits to differential acclimating behaviors under drought. |
format | Online Article Text |
id | pubmed-7586954 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75869542020-10-30 Use of hydraulic traits for modeling genotype‐specific acclimation in cotton under drought Wang, Diane R. Venturas, Martin D. Mackay, D. Scott Hunsaker, Douglas J. Thorp, Kelly R. Gore, Michael A. Pauli, Duke New Phytol Research Understanding the genetic and physiological basis of abiotic stress tolerance under field conditions is key to varietal crop improvement in the face of climate variability. Here, we investigate dynamic physiological responses to water stress in silico and their relationships to genotypic variation in hydraulic traits of cotton (Gossypium hirsutum), an economically important species for renewable textile fiber production. In conjunction with an ecophysiological process‐based model, heterogeneous data (plant hydraulic traits, spatially‐distributed soil texture, soil water content and canopy temperature) were used to examine hydraulic characteristics of cotton, evaluate their consequences on whole plant performance under drought, and explore potential genotype × environment effects. Cotton was found to have R‐shaped hydraulic vulnerability curves (VCs), which were consistent under drought stress initiated at flowering. Stem VCs, expressed as percent loss of conductivity, differed across genotypes, whereas root VCs did not. Simulation results demonstrated how plant physiological stress can depend on the interaction between soil properties and irrigation management, which in turn affect genotypic rankings of transpiration in a time‐dependent manner. Our study shows how a process‐based modeling framework can be used to link genotypic variation in hydraulic traits to differential acclimating behaviors under drought. John Wiley and Sons Inc. 2020-07-18 2020-11 /pmc/articles/PMC7586954/ /pubmed/32557592 http://dx.doi.org/10.1111/nph.16751 Text en ©2020 The Authors. New Phytologist ©2020 New Phytologist Trust This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Wang, Diane R. Venturas, Martin D. Mackay, D. Scott Hunsaker, Douglas J. Thorp, Kelly R. Gore, Michael A. Pauli, Duke Use of hydraulic traits for modeling genotype‐specific acclimation in cotton under drought |
title | Use of hydraulic traits for modeling genotype‐specific acclimation in cotton under drought |
title_full | Use of hydraulic traits for modeling genotype‐specific acclimation in cotton under drought |
title_fullStr | Use of hydraulic traits for modeling genotype‐specific acclimation in cotton under drought |
title_full_unstemmed | Use of hydraulic traits for modeling genotype‐specific acclimation in cotton under drought |
title_short | Use of hydraulic traits for modeling genotype‐specific acclimation in cotton under drought |
title_sort | use of hydraulic traits for modeling genotype‐specific acclimation in cotton under drought |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7586954/ https://www.ncbi.nlm.nih.gov/pubmed/32557592 http://dx.doi.org/10.1111/nph.16751 |
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