Cargando…
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...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315520/ https://www.ncbi.nlm.nih.gov/pubmed/34314420 http://dx.doi.org/10.1371/journal.pone.0254318 |
_version_ | 1783729735706083328 |
---|---|
author | Dar, Zahoor A. Dar, Showket A. Khan, Jameel A. Lone, Ajaz A. Langyan, Sapna Lone, B. A. Kanth, R. H. Iqbal, Asif Rane, Jagdish Wani, Shabir H. Alfarraj, Saleh Alharbi, Sulaiman Ali Brestic, Marian Ansari, Mohammad Javed |
author_facet | Dar, Zahoor A. Dar, Showket A. Khan, Jameel A. Lone, Ajaz A. Langyan, Sapna Lone, B. A. Kanth, R. H. Iqbal, Asif Rane, Jagdish Wani, Shabir H. Alfarraj, Saleh Alharbi, Sulaiman Ali Brestic, Marian Ansari, Mohammad Javed |
author_sort | Dar, Zahoor A. |
collection | PubMed |
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 | Online Article Text |
id | pubmed-8315520 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-83155202021-07-31 Identification for surrogate drought tolerance in maize inbred lines utilizing high-throughput phenomics approach Dar, Zahoor A. Dar, Showket A. Khan, Jameel A. Lone, Ajaz A. Langyan, Sapna Lone, B. A. Kanth, R. H. Iqbal, Asif Rane, Jagdish Wani, Shabir H. Alfarraj, Saleh Alharbi, Sulaiman Ali Brestic, Marian Ansari, Mohammad Javed PLoS One Research Article 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. Public Library of Science 2021-07-27 /pmc/articles/PMC8315520/ /pubmed/34314420 http://dx.doi.org/10.1371/journal.pone.0254318 Text en © 2021 Dar et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Dar, Zahoor A. Dar, Showket A. Khan, Jameel A. Lone, Ajaz A. Langyan, Sapna Lone, B. A. Kanth, R. H. Iqbal, Asif Rane, Jagdish Wani, Shabir H. Alfarraj, Saleh Alharbi, Sulaiman Ali Brestic, Marian Ansari, Mohammad Javed Identification for surrogate drought tolerance in maize inbred lines utilizing high-throughput phenomics approach |
title | 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_short | 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 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315520/ https://www.ncbi.nlm.nih.gov/pubmed/34314420 http://dx.doi.org/10.1371/journal.pone.0254318 |
work_keys_str_mv | AT darzahoora identificationforsurrogatedroughttoleranceinmaizeinbredlinesutilizinghighthroughputphenomicsapproach AT darshowketa identificationforsurrogatedroughttoleranceinmaizeinbredlinesutilizinghighthroughputphenomicsapproach AT khanjameela identificationforsurrogatedroughttoleranceinmaizeinbredlinesutilizinghighthroughputphenomicsapproach AT loneajaza identificationforsurrogatedroughttoleranceinmaizeinbredlinesutilizinghighthroughputphenomicsapproach AT langyansapna identificationforsurrogatedroughttoleranceinmaizeinbredlinesutilizinghighthroughputphenomicsapproach AT loneba identificationforsurrogatedroughttoleranceinmaizeinbredlinesutilizinghighthroughputphenomicsapproach AT kanthrh identificationforsurrogatedroughttoleranceinmaizeinbredlinesutilizinghighthroughputphenomicsapproach AT iqbalasif identificationforsurrogatedroughttoleranceinmaizeinbredlinesutilizinghighthroughputphenomicsapproach AT ranejagdish identificationforsurrogatedroughttoleranceinmaizeinbredlinesutilizinghighthroughputphenomicsapproach AT wanishabirh identificationforsurrogatedroughttoleranceinmaizeinbredlinesutilizinghighthroughputphenomicsapproach AT alfarrajsaleh identificationforsurrogatedroughttoleranceinmaizeinbredlinesutilizinghighthroughputphenomicsapproach AT alharbisulaimanali identificationforsurrogatedroughttoleranceinmaizeinbredlinesutilizinghighthroughputphenomicsapproach AT bresticmarian identificationforsurrogatedroughttoleranceinmaizeinbredlinesutilizinghighthroughputphenomicsapproach AT ansarimohammadjaved identificationforsurrogatedroughttoleranceinmaizeinbredlinesutilizinghighthroughputphenomicsapproach |