High-throughput phenotyping to dissect genotypic differences in safflower for drought tolerance.

Drought is one of the most severe and unpredictable abiotic stresses, occurring at any growth stage and affecting crop yields worldwide. Therefore, it is essential to develop drought tolerant varieties to ensure sustainable crop production in an ever-changing climate. High-throughput digital phenoty...

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Autores principales:	Sameer Joshi, Emily Thoday-Kennedy, Hans D Daetwyler, Matthew Hayden, German Spangenberg, Surya Kant
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/02b3983ea83b407591711123d2c54226
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spelling	oai:doaj.org-article:02b3983ea83b407591711123d2c542262021-12-02T20:04:52ZHigh-throughput phenotyping to dissect genotypic differences in safflower for drought tolerance.1932-620310.1371/journal.pone.0254908https://doaj.org/article/02b3983ea83b407591711123d2c542262021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0254908https://doaj.org/toc/1932-6203Drought is one of the most severe and unpredictable abiotic stresses, occurring at any growth stage and affecting crop yields worldwide. Therefore, it is essential to develop drought tolerant varieties to ensure sustainable crop production in an ever-changing climate. High-throughput digital phenotyping technologies in tandem with robust screening methods enable precise and faster selection of genotypes for breeding. To investigate the use of digital imaging to reliably phenotype for drought tolerance, a genetically diverse safflower population was screened under different drought stresses at Agriculture Victoria's high-throughput, automated phenotyping platform, Plant Phenomics Victoria, Horsham. In the first experiment, four treatments, control (90% field capacity; FC), 40% FC at initial branching, 40% FC at flowering and 50% FC at initial branching and flowering, were applied to assess the performance of four safflower genotypes. Based on these results, drought stress using 50% FC at initial branching and flowering stages was chosen to further screen 200 diverse safflower genotypes. Measured plant traits and dry biomass showed high correlations with derived digital traits including estimated shoot biomass, convex hull area, caliper length and minimum area rectangle, indicating the viability of using digital traits as proxy measures for plant growth. Estimated shoot biomass showed close association having moderately high correlation with drought indices yield index, stress tolerance index, geometric mean productivity, and mean productivity. Diverse genotypes were classified into four clusters of drought tolerance based on their performance (seed yield and digitally estimated shoot biomass) under stress. Overall, results show that rapid and precise image-based, high-throughput phenotyping in controlled environments can be used to effectively differentiate response to drought stress in a large numbers of safflower genotypes.Sameer JoshiEmily Thoday-KennedyHans D DaetwylerMatthew HaydenGerman SpangenbergSurya KantPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0254908 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sameer Joshi Emily Thoday-Kennedy Hans D Daetwyler Matthew Hayden German Spangenberg Surya Kant High-throughput phenotyping to dissect genotypic differences in safflower for drought tolerance.
description	Drought is one of the most severe and unpredictable abiotic stresses, occurring at any growth stage and affecting crop yields worldwide. Therefore, it is essential to develop drought tolerant varieties to ensure sustainable crop production in an ever-changing climate. High-throughput digital phenotyping technologies in tandem with robust screening methods enable precise and faster selection of genotypes for breeding. To investigate the use of digital imaging to reliably phenotype for drought tolerance, a genetically diverse safflower population was screened under different drought stresses at Agriculture Victoria's high-throughput, automated phenotyping platform, Plant Phenomics Victoria, Horsham. In the first experiment, four treatments, control (90% field capacity; FC), 40% FC at initial branching, 40% FC at flowering and 50% FC at initial branching and flowering, were applied to assess the performance of four safflower genotypes. Based on these results, drought stress using 50% FC at initial branching and flowering stages was chosen to further screen 200 diverse safflower genotypes. Measured plant traits and dry biomass showed high correlations with derived digital traits including estimated shoot biomass, convex hull area, caliper length and minimum area rectangle, indicating the viability of using digital traits as proxy measures for plant growth. Estimated shoot biomass showed close association having moderately high correlation with drought indices yield index, stress tolerance index, geometric mean productivity, and mean productivity. Diverse genotypes were classified into four clusters of drought tolerance based on their performance (seed yield and digitally estimated shoot biomass) under stress. Overall, results show that rapid and precise image-based, high-throughput phenotyping in controlled environments can be used to effectively differentiate response to drought stress in a large numbers of safflower genotypes.
format	article
author	Sameer Joshi Emily Thoday-Kennedy Hans D Daetwyler Matthew Hayden German Spangenberg Surya Kant
author_facet	Sameer Joshi Emily Thoday-Kennedy Hans D Daetwyler Matthew Hayden German Spangenberg Surya Kant
author_sort	Sameer Joshi
title	High-throughput phenotyping to dissect genotypic differences in safflower for drought tolerance.
title_short	High-throughput phenotyping to dissect genotypic differences in safflower for drought tolerance.
title_full	High-throughput phenotyping to dissect genotypic differences in safflower for drought tolerance.
title_fullStr	High-throughput phenotyping to dissect genotypic differences in safflower for drought tolerance.
title_full_unstemmed	High-throughput phenotyping to dissect genotypic differences in safflower for drought tolerance.
title_sort	high-throughput phenotyping to dissect genotypic differences in safflower for drought tolerance.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/02b3983ea83b407591711123d2c54226
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High-throughput phenotyping to dissect genotypic differences in safflower for drought tolerance.

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