Genome-wide association analysis in identification of superior haplotypes for vegetative stage drought stress tolerance in rice

Water availability is the most critical factor limiting rice yield in rainfed agro-ecosystems. Drought stress during the vegetative stage inhibits key growth processes, such as leaf formation and tillering, significantly impacting yield. This study aimed to investigate the genetic basis of vegetativ...

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Main Authors: Nayak, Gyanisha, Parameswaran, C., Vaidya, Nairita, Parida, Madhuchhanda, Sabarinathan, S., Chaudhari, Prabharani, Sinha, Pallavi, Singh, Vikas Kumar, Samantaray, Sanghamitra, Katara, Jawahar Lal
Format: Journal Article
Language:Inglés
Published: Springer 2025
Subjects:
Online Access:https://hdl.handle.net/10568/174450
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author Nayak, Gyanisha
Parameswaran, C.
Vaidya, Nairita
Parida, Madhuchhanda
Sabarinathan, S.
Chaudhari, Prabharani
Sinha, Pallavi
Singh, Vikas Kumar
Samantaray, Sanghamitra
Katara, Jawahar Lal
author_browse Chaudhari, Prabharani
Katara, Jawahar Lal
Nayak, Gyanisha
Parameswaran, C.
Parida, Madhuchhanda
Sabarinathan, S.
Samantaray, Sanghamitra
Singh, Vikas Kumar
Sinha, Pallavi
Vaidya, Nairita
author_facet Nayak, Gyanisha
Parameswaran, C.
Vaidya, Nairita
Parida, Madhuchhanda
Sabarinathan, S.
Chaudhari, Prabharani
Sinha, Pallavi
Singh, Vikas Kumar
Samantaray, Sanghamitra
Katara, Jawahar Lal
author_sort Nayak, Gyanisha
collection Repository of Agricultural Research Outputs (CGSpace)
description Water availability is the most critical factor limiting rice yield in rainfed agro-ecosystems. Drought stress during the vegetative stage inhibits key growth processes, such as leaf formation and tillering, significantly impacting yield. This study aimed to investigate the genetic basis of vegetative stage drought tolerance and identify QTLs and genes associated with it through GWAS. A total of 19 major QTLs were identified for six traits: leaf rolling, relative water content, plant height, leaf area, tiller number, and leaf number, with phenotypic variances ranging from 10.55 to 80.05%. Additionally, haplotypes for six candidate genes were identified: OsCYP72A32 for leaf rolling, OsNCX5.2 for relative water content, OsSPX2 for plant height, OsSTA104 for tiller number, OsRING313 for leaf number and Os3BGlu6 for leaf area. Besides, genotypes such as NCS 901 A, H 15-23-DA, LOHAMBITRO and MEJANES 2 were found to be superior donors. These tolerant genotypes and superior haplotypes can be used in haplotype-based breeding programs to enhance drought tolerance in rice at vegetative stage.
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spelling CGSpace1744502025-12-08T09:54:28Z Genome-wide association analysis in identification of superior haplotypes for vegetative stage drought stress tolerance in rice Nayak, Gyanisha Parameswaran, C. Vaidya, Nairita Parida, Madhuchhanda Sabarinathan, S. Chaudhari, Prabharani Sinha, Pallavi Singh, Vikas Kumar Samantaray, Sanghamitra Katara, Jawahar Lal drought tolerance water stress rainfed farming water availability yield components plant height leaf area relative water content genetic variation quantitative trait loci candidate genes haplotypes breeding programmes gene mapping phenotypic variation oryza sativa Water availability is the most critical factor limiting rice yield in rainfed agro-ecosystems. Drought stress during the vegetative stage inhibits key growth processes, such as leaf formation and tillering, significantly impacting yield. This study aimed to investigate the genetic basis of vegetative stage drought tolerance and identify QTLs and genes associated with it through GWAS. A total of 19 major QTLs were identified for six traits: leaf rolling, relative water content, plant height, leaf area, tiller number, and leaf number, with phenotypic variances ranging from 10.55 to 80.05%. Additionally, haplotypes for six candidate genes were identified: OsCYP72A32 for leaf rolling, OsNCX5.2 for relative water content, OsSPX2 for plant height, OsSTA104 for tiller number, OsRING313 for leaf number and Os3BGlu6 for leaf area. Besides, genotypes such as NCS 901 A, H 15-23-DA, LOHAMBITRO and MEJANES 2 were found to be superior donors. These tolerant genotypes and superior haplotypes can be used in haplotype-based breeding programs to enhance drought tolerance in rice at vegetative stage. 2025-03 2025-05-07T08:48:15Z 2025-05-07T08:48:15Z Journal Article https://hdl.handle.net/10568/174450 en Limited Access Springer Nayak, G., Parameswaran, C., Vaidya, N. et al. Genome-wide association analysis in identification of superior haplotypes for vegetative stage drought stress tolerance in rice. Physiol Mol Biol Plants 31, 435–452 (2025)
spellingShingle drought tolerance
water stress
rainfed farming
water availability
yield components
plant height
leaf area
relative water content
genetic variation
quantitative trait loci
candidate genes
haplotypes
breeding programmes
gene mapping
phenotypic variation
oryza sativa
Nayak, Gyanisha
Parameswaran, C.
Vaidya, Nairita
Parida, Madhuchhanda
Sabarinathan, S.
Chaudhari, Prabharani
Sinha, Pallavi
Singh, Vikas Kumar
Samantaray, Sanghamitra
Katara, Jawahar Lal
Genome-wide association analysis in identification of superior haplotypes for vegetative stage drought stress tolerance in rice
title Genome-wide association analysis in identification of superior haplotypes for vegetative stage drought stress tolerance in rice
title_full Genome-wide association analysis in identification of superior haplotypes for vegetative stage drought stress tolerance in rice
title_fullStr Genome-wide association analysis in identification of superior haplotypes for vegetative stage drought stress tolerance in rice
title_full_unstemmed Genome-wide association analysis in identification of superior haplotypes for vegetative stage drought stress tolerance in rice
title_short Genome-wide association analysis in identification of superior haplotypes for vegetative stage drought stress tolerance in rice
title_sort genome wide association analysis in identification of superior haplotypes for vegetative stage drought stress tolerance in rice
topic drought tolerance
water stress
rainfed farming
water availability
yield components
plant height
leaf area
relative water content
genetic variation
quantitative trait loci
candidate genes
haplotypes
breeding programmes
gene mapping
phenotypic variation
oryza sativa
url https://hdl.handle.net/10568/174450
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