Identification for surrogate drought tolerance in maize inbred lines utilizing high-throughput phenomics approach.

Screening for drought tolerance requires precise techniques like phonemics, which is an emerging science aimed at non-destructive methods allowing large-scale screening of genotypes. Large-scale screening complements genomic efforts to identify genes relevant for crop improvement. Thirty maize inbre...

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Autores principales:	Zahoor A Dar, Showket A Dar, Jameel A Khan, Ajaz A Lone, Sapna Langyan, B A Lone, R H Kanth, Asif Iqbal, Jagdish Rane, Shabir H Wani, Saleh Alfarraj, Sulaiman Ali Alharbi, Marian Brestic, Mohammad Javed Ansari
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ac3a2b8aa3b34a18a06f7ea0360cb75a
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spelling	oai:doaj.org-article:ac3a2b8aa3b34a18a06f7ea0360cb75a2021-12-02T20:06:25ZIdentification for surrogate drought tolerance in maize inbred lines utilizing high-throughput phenomics approach.1932-620310.1371/journal.pone.0254318https://doaj.org/article/ac3a2b8aa3b34a18a06f7ea0360cb75a2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0254318https://doaj.org/toc/1932-6203Screening for drought tolerance requires precise techniques like phonemics, which is an emerging science aimed at non-destructive methods allowing large-scale screening of genotypes. Large-scale screening complements genomic efforts to identify genes relevant for crop improvement. Thirty maize inbred lines from various sources (exotic and indigenous) maintained at Dryland Agriculture Research Station were used in the current study. In the automated plant transport and imaging systems (LemnaTec Scanalyzer system for large plants), top and side view images were taken of the VIS (visible) and NIR (near infrared) range of the light spectrum to capture phenes. All images were obtained with a thermal imager. All sensors were used to collect images one day after shifting the pots from the greenhouse for 11 days. Image processing was done using pre-processing, segmentation and flowered by features' extraction. Different surrogate traits such as pixel area, plant aspect ratio, convex hull ratio and calliper length were estimated. A strong association was found between canopy temperature and above ground biomass under stress conditions. Promising lines in different surrogates will be utilized in breeding programmes to develop mapping populations for traits of interest related to drought resilience, in terms of improved tissue water status and mapping of genes/QTLs for drought traits.Zahoor A DarShowket A DarJameel A KhanAjaz A LoneSapna LangyanB A LoneR H KanthAsif IqbalJagdish RaneShabir H WaniSaleh AlfarrajSulaiman Ali AlharbiMarian BresticMohammad Javed AnsariPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0254318 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Zahoor A Dar Showket A Dar Jameel A Khan Ajaz A Lone Sapna Langyan B A Lone R H Kanth Asif Iqbal Jagdish Rane Shabir H Wani Saleh Alfarraj Sulaiman Ali Alharbi Marian Brestic Mohammad Javed Ansari Identification for surrogate drought tolerance in maize inbred lines utilizing high-throughput phenomics approach.
description	Screening for drought tolerance requires precise techniques like phonemics, which is an emerging science aimed at non-destructive methods allowing large-scale screening of genotypes. Large-scale screening complements genomic efforts to identify genes relevant for crop improvement. Thirty maize inbred lines from various sources (exotic and indigenous) maintained at Dryland Agriculture Research Station were used in the current study. In the automated plant transport and imaging systems (LemnaTec Scanalyzer system for large plants), top and side view images were taken of the VIS (visible) and NIR (near infrared) range of the light spectrum to capture phenes. All images were obtained with a thermal imager. All sensors were used to collect images one day after shifting the pots from the greenhouse for 11 days. Image processing was done using pre-processing, segmentation and flowered by features' extraction. Different surrogate traits such as pixel area, plant aspect ratio, convex hull ratio and calliper length were estimated. A strong association was found between canopy temperature and above ground biomass under stress conditions. Promising lines in different surrogates will be utilized in breeding programmes to develop mapping populations for traits of interest related to drought resilience, in terms of improved tissue water status and mapping of genes/QTLs for drought traits.
format	article
author	Zahoor A Dar Showket A Dar Jameel A Khan Ajaz A Lone Sapna Langyan B A Lone R H Kanth Asif Iqbal Jagdish Rane Shabir H Wani Saleh Alfarraj Sulaiman Ali Alharbi Marian Brestic Mohammad Javed Ansari
author_facet	Zahoor A Dar Showket A Dar Jameel A Khan Ajaz A Lone Sapna Langyan B A Lone R H Kanth Asif Iqbal Jagdish Rane Shabir H Wani Saleh Alfarraj Sulaiman Ali Alharbi Marian Brestic Mohammad Javed Ansari
author_sort	Zahoor A Dar
title	Identification for surrogate drought tolerance in maize inbred lines utilizing high-throughput phenomics approach.
title_short	Identification for surrogate drought tolerance in maize inbred lines utilizing high-throughput phenomics approach.
title_full	Identification for surrogate drought tolerance in maize inbred lines utilizing high-throughput phenomics approach.
title_fullStr	Identification for surrogate drought tolerance in maize inbred lines utilizing high-throughput phenomics approach.
title_full_unstemmed	Identification for surrogate drought tolerance in maize inbred lines utilizing high-throughput phenomics approach.
title_sort	identification for surrogate drought tolerance in maize inbred lines utilizing high-throughput phenomics approach.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/ac3a2b8aa3b34a18a06f7ea0360cb75a
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Identification for surrogate drought tolerance in maize inbred lines utilizing high-throughput phenomics approach.

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