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Drought Tolerant Near Isogenic Lines of Pusa 44 Pyramided With qDTY2.1 and qDTY3.1, Show Accelerated Recovery Response in a High Throughput Phenomics Based Phenotyping

Reproductive stage drought stress (RSDS) is a major challenge in rice production worldwide. Cultivar development with drought tolerance has been slow due to the lack of precise high throughput phenotyping tools to quantify drought stress-induced effects. Most of the available techniques are based on...

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Autores principales: Dwivedi, Priyanka, Ramawat, Naleeni, Raju, Dhandapani, Dhawan, Gaurav, Gopala Krishnan, S., Chinnusamy, Viswanathan, Bhowmick, Prolay Kumar, Vinod, K. K., Pal, Madan, Nagarajan, Mariappan, Ellur, Ranjith Kumar, Bollinedi, Haritha, Singh, Ashok K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767905/
https://www.ncbi.nlm.nih.gov/pubmed/35069617
http://dx.doi.org/10.3389/fpls.2021.752730
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author Dwivedi, Priyanka
Ramawat, Naleeni
Raju, Dhandapani
Dhawan, Gaurav
Gopala Krishnan, S.
Chinnusamy, Viswanathan
Bhowmick, Prolay Kumar
Vinod, K. K.
Pal, Madan
Nagarajan, Mariappan
Ellur, Ranjith Kumar
Bollinedi, Haritha
Singh, Ashok K.
author_facet Dwivedi, Priyanka
Ramawat, Naleeni
Raju, Dhandapani
Dhawan, Gaurav
Gopala Krishnan, S.
Chinnusamy, Viswanathan
Bhowmick, Prolay Kumar
Vinod, K. K.
Pal, Madan
Nagarajan, Mariappan
Ellur, Ranjith Kumar
Bollinedi, Haritha
Singh, Ashok K.
author_sort Dwivedi, Priyanka
collection PubMed
description Reproductive stage drought stress (RSDS) is a major challenge in rice production worldwide. Cultivar development with drought tolerance has been slow due to the lack of precise high throughput phenotyping tools to quantify drought stress-induced effects. Most of the available techniques are based on destructive sampling and do not assess the progress of the plant’s response to drought. In this study, we have used state-of-the-art image-based phenotyping in a phenomics platform that offers a controlled environment, non-invasive phenotyping, high accuracy, speed, and continuity. In rice, several quantitative trait loci (QTLs) which govern grain yield under drought determine RSDS tolerance. Among these, qDTY2.1 and qDTY3.1 were used for marker-assisted breeding. A set of 35 near-isogenic lines (NILs), introgressed with these QTLs in the popular variety, Pusa 44 were used to assess the efficiency of image-based phenotyping for RSDS tolerance. NILs offered the most reliable contrast since they differed from Pusa 44 only for the QTLs. Four traits, namely, the projected shoot area (PSA), water use (WU), transpiration rate (TR), and red-green-blue (RGB) and near-infrared (NIR) values were used. Differential temporal responses could be seen under drought, but not under unstressed conditions. NILs showed significant level of RSDS tolerance as compared to Pusa 44. Among the traits, PSA showed strong association with yield (80%) as well as with two drought tolerances indices, stress susceptibility index (SSI) and tolerance index (TOL), establishing its ability in identifying the best drought tolerant NILs. The results revealed that the introgression of QTLs helped minimize the mean WU per unit of biomass per day, suggesting the potential role of these QTLs in improving WU-efficiency (WUE). We identified 11 NILs based on phenomics traits as well as performance under imposed drought in the field. The study emphasizes the use of phenomics traits as selection criteria for RSDS tolerance at an early stage, and is the first report of using phenomics parameters in RSDS selection in rice.
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spelling pubmed-87679052022-01-20 Drought Tolerant Near Isogenic Lines of Pusa 44 Pyramided With qDTY2.1 and qDTY3.1, Show Accelerated Recovery Response in a High Throughput Phenomics Based Phenotyping Dwivedi, Priyanka Ramawat, Naleeni Raju, Dhandapani Dhawan, Gaurav Gopala Krishnan, S. Chinnusamy, Viswanathan Bhowmick, Prolay Kumar Vinod, K. K. Pal, Madan Nagarajan, Mariappan Ellur, Ranjith Kumar Bollinedi, Haritha Singh, Ashok K. Front Plant Sci Plant Science Reproductive stage drought stress (RSDS) is a major challenge in rice production worldwide. Cultivar development with drought tolerance has been slow due to the lack of precise high throughput phenotyping tools to quantify drought stress-induced effects. Most of the available techniques are based on destructive sampling and do not assess the progress of the plant’s response to drought. In this study, we have used state-of-the-art image-based phenotyping in a phenomics platform that offers a controlled environment, non-invasive phenotyping, high accuracy, speed, and continuity. In rice, several quantitative trait loci (QTLs) which govern grain yield under drought determine RSDS tolerance. Among these, qDTY2.1 and qDTY3.1 were used for marker-assisted breeding. A set of 35 near-isogenic lines (NILs), introgressed with these QTLs in the popular variety, Pusa 44 were used to assess the efficiency of image-based phenotyping for RSDS tolerance. NILs offered the most reliable contrast since they differed from Pusa 44 only for the QTLs. Four traits, namely, the projected shoot area (PSA), water use (WU), transpiration rate (TR), and red-green-blue (RGB) and near-infrared (NIR) values were used. Differential temporal responses could be seen under drought, but not under unstressed conditions. NILs showed significant level of RSDS tolerance as compared to Pusa 44. Among the traits, PSA showed strong association with yield (80%) as well as with two drought tolerances indices, stress susceptibility index (SSI) and tolerance index (TOL), establishing its ability in identifying the best drought tolerant NILs. The results revealed that the introgression of QTLs helped minimize the mean WU per unit of biomass per day, suggesting the potential role of these QTLs in improving WU-efficiency (WUE). We identified 11 NILs based on phenomics traits as well as performance under imposed drought in the field. The study emphasizes the use of phenomics traits as selection criteria for RSDS tolerance at an early stage, and is the first report of using phenomics parameters in RSDS selection in rice. Frontiers Media S.A. 2022-01-05 /pmc/articles/PMC8767905/ /pubmed/35069617 http://dx.doi.org/10.3389/fpls.2021.752730 Text en Copyright © 2022 Dwivedi, Ramawat, Raju, Dhawan, Gopala Krishnan, Chinnusamy, Bhowmick, Vinod, Pal, Nagarajan, Ellur, Bollinedi and Singh. 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
Dwivedi, Priyanka
Ramawat, Naleeni
Raju, Dhandapani
Dhawan, Gaurav
Gopala Krishnan, S.
Chinnusamy, Viswanathan
Bhowmick, Prolay Kumar
Vinod, K. K.
Pal, Madan
Nagarajan, Mariappan
Ellur, Ranjith Kumar
Bollinedi, Haritha
Singh, Ashok K.
Drought Tolerant Near Isogenic Lines of Pusa 44 Pyramided With qDTY2.1 and qDTY3.1, Show Accelerated Recovery Response in a High Throughput Phenomics Based Phenotyping
title Drought Tolerant Near Isogenic Lines of Pusa 44 Pyramided With qDTY2.1 and qDTY3.1, Show Accelerated Recovery Response in a High Throughput Phenomics Based Phenotyping
title_full Drought Tolerant Near Isogenic Lines of Pusa 44 Pyramided With qDTY2.1 and qDTY3.1, Show Accelerated Recovery Response in a High Throughput Phenomics Based Phenotyping
title_fullStr Drought Tolerant Near Isogenic Lines of Pusa 44 Pyramided With qDTY2.1 and qDTY3.1, Show Accelerated Recovery Response in a High Throughput Phenomics Based Phenotyping
title_full_unstemmed Drought Tolerant Near Isogenic Lines of Pusa 44 Pyramided With qDTY2.1 and qDTY3.1, Show Accelerated Recovery Response in a High Throughput Phenomics Based Phenotyping
title_short Drought Tolerant Near Isogenic Lines of Pusa 44 Pyramided With qDTY2.1 and qDTY3.1, Show Accelerated Recovery Response in a High Throughput Phenomics Based Phenotyping
title_sort drought tolerant near isogenic lines of pusa 44 pyramided with qdty2.1 and qdty3.1, show accelerated recovery response in a high throughput phenomics based phenotyping
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767905/
https://www.ncbi.nlm.nih.gov/pubmed/35069617
http://dx.doi.org/10.3389/fpls.2021.752730
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