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Digital Phenotyping to Delineate Salinity Response in Safflower Genotypes
Salinity is a major contributing factor to the degradation of arable land, and reductions in crop growth and yield. To overcome these limitations, the breeding of crop varieties with improved salt tolerance is needed. This requires effective and high-throughput phenotyping to optimize germplasm enha...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242588/ https://www.ncbi.nlm.nih.gov/pubmed/34220887 http://dx.doi.org/10.3389/fpls.2021.662498 |
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author | Thoday-Kennedy, Emily Joshi, Sameer Daetwyler, Hans D. Hayden, Matthew Hudson, David Spangenberg, German Kant, Surya |
author_facet | Thoday-Kennedy, Emily Joshi, Sameer Daetwyler, Hans D. Hayden, Matthew Hudson, David Spangenberg, German Kant, Surya |
author_sort | Thoday-Kennedy, Emily |
collection | PubMed |
description | Salinity is a major contributing factor to the degradation of arable land, and reductions in crop growth and yield. To overcome these limitations, the breeding of crop varieties with improved salt tolerance is needed. This requires effective and high-throughput phenotyping to optimize germplasm enhancement. Safflower (Carthamus tinctorius L.), is an underappreciated but highly versatile oilseed crop, capable of growing in saline and arid environments. To develop an effective and rapid phenotyping protocol to differentiate salt responses in safflower genotypes, experiments were conducted in the automated imaging facility at Plant Phenomics Victoria, Horsham, focussing on digital phenotyping at early vegetative growth. The initial experiment, at 0, 125, 250, and 350 mM sodium chloride (NaCl), showed that 250 mM NaCl was optimum to differentiate salt sensitive and tolerant genotypes. Phenotyping of a diverse set of 200 safflower genotypes using the developed protocol defined four classes of salt tolerance or sensitivity, based on biomass and ion accumulation. Salt tolerance in safflower was dependent on the exclusion of Na(+) from shoot tissue and the maintenance of K(+) uptake. Salinity response identified in glasshouse experiments showed some consistency with the performance of representatively selected genotypes tested under sodic field conditions. Overall, our results suggest that digital phenotyping can be an effective high-throughput approach in identifying candidate genotypes for salt tolerance in safflower. |
format | Online Article Text |
id | pubmed-8242588 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82425882021-07-01 Digital Phenotyping to Delineate Salinity Response in Safflower Genotypes Thoday-Kennedy, Emily Joshi, Sameer Daetwyler, Hans D. Hayden, Matthew Hudson, David Spangenberg, German Kant, Surya Front Plant Sci Plant Science Salinity is a major contributing factor to the degradation of arable land, and reductions in crop growth and yield. To overcome these limitations, the breeding of crop varieties with improved salt tolerance is needed. This requires effective and high-throughput phenotyping to optimize germplasm enhancement. Safflower (Carthamus tinctorius L.), is an underappreciated but highly versatile oilseed crop, capable of growing in saline and arid environments. To develop an effective and rapid phenotyping protocol to differentiate salt responses in safflower genotypes, experiments were conducted in the automated imaging facility at Plant Phenomics Victoria, Horsham, focussing on digital phenotyping at early vegetative growth. The initial experiment, at 0, 125, 250, and 350 mM sodium chloride (NaCl), showed that 250 mM NaCl was optimum to differentiate salt sensitive and tolerant genotypes. Phenotyping of a diverse set of 200 safflower genotypes using the developed protocol defined four classes of salt tolerance or sensitivity, based on biomass and ion accumulation. Salt tolerance in safflower was dependent on the exclusion of Na(+) from shoot tissue and the maintenance of K(+) uptake. Salinity response identified in glasshouse experiments showed some consistency with the performance of representatively selected genotypes tested under sodic field conditions. Overall, our results suggest that digital phenotyping can be an effective high-throughput approach in identifying candidate genotypes for salt tolerance in safflower. Frontiers Media S.A. 2021-06-16 /pmc/articles/PMC8242588/ /pubmed/34220887 http://dx.doi.org/10.3389/fpls.2021.662498 Text en Copyright © 2021 Thoday-Kennedy, Joshi, Daetwyler, Hayden, Hudson, Spangenberg and Kant. https://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) and the copyright owner(s) 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 Thoday-Kennedy, Emily Joshi, Sameer Daetwyler, Hans D. Hayden, Matthew Hudson, David Spangenberg, German Kant, Surya Digital Phenotyping to Delineate Salinity Response in Safflower Genotypes |
title | Digital Phenotyping to Delineate Salinity Response in Safflower Genotypes |
title_full | Digital Phenotyping to Delineate Salinity Response in Safflower Genotypes |
title_fullStr | Digital Phenotyping to Delineate Salinity Response in Safflower Genotypes |
title_full_unstemmed | Digital Phenotyping to Delineate Salinity Response in Safflower Genotypes |
title_short | Digital Phenotyping to Delineate Salinity Response in Safflower Genotypes |
title_sort | digital phenotyping to delineate salinity response in safflower genotypes |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242588/ https://www.ncbi.nlm.nih.gov/pubmed/34220887 http://dx.doi.org/10.3389/fpls.2021.662498 |
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