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High Resolution Mapping of QTLs for Heat Tolerance in Rice Using a 5K SNP Array
by
SV, Amitha Mithra
, Mohapatra, Trilochan
, Prakash, Chandra
, PS, Shanmugavadivel
, Tiwari, Ratan
, Singh, Nagendra Kumar
, MK, Ramkumar
in
Agriculture
/ Arrays
/ Barley
/ Biomedical and Life Sciences
/ Chromosome 5
/ Chromosome 9
/ Chromosomes
/ Crop improvement
/ Crop production
/ Crop yield
/ Crops
/ Cultivars
/ Drought
/ florets
/ Flowering
/ Gene mapping
/ Genes
/ genomics
/ Genotyping
/ Grain
/ grain quality
/ Heat
/ Heat stress
/ Heat tolerance
/ High resolution
/ inbred lines
/ Inbreeding
/ Incidence
/ India
/ Life Sciences
/ Mapping
/ marker-assisted selection
/ Markers
/ Nagina22
/ Original
/ Original Article
/ Oryza sativa
/ Parents
/ phenotype
/ phenotypic variation
/ Phenotypic variations
/ Phenotyping
/ Plant breeding
/ Plant Breeding/Biotechnology
/ Plant Ecology
/ Plant Genetics and Genomics
/ Plant Sciences
/ Pollination
/ QTL mapping
/ Quantitative trait loci
/ Rice
/ Salinity
/ Salinity effects
/ salt stress
/ Seed set
/ Single-nucleotide polymorphism
/ SNP
/ sowing
/ Sterility
/ stress tolerance
/ Stresses
/ Transcription
/ Wheat
2017
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High Resolution Mapping of QTLs for Heat Tolerance in Rice Using a 5K SNP Array
by
SV, Amitha Mithra
, Mohapatra, Trilochan
, Prakash, Chandra
, PS, Shanmugavadivel
, Tiwari, Ratan
, Singh, Nagendra Kumar
, MK, Ramkumar
in
Agriculture
/ Arrays
/ Barley
/ Biomedical and Life Sciences
/ Chromosome 5
/ Chromosome 9
/ Chromosomes
/ Crop improvement
/ Crop production
/ Crop yield
/ Crops
/ Cultivars
/ Drought
/ florets
/ Flowering
/ Gene mapping
/ Genes
/ genomics
/ Genotyping
/ Grain
/ grain quality
/ Heat
/ Heat stress
/ Heat tolerance
/ High resolution
/ inbred lines
/ Inbreeding
/ Incidence
/ India
/ Life Sciences
/ Mapping
/ marker-assisted selection
/ Markers
/ Nagina22
/ Original
/ Original Article
/ Oryza sativa
/ Parents
/ phenotype
/ phenotypic variation
/ Phenotypic variations
/ Phenotyping
/ Plant breeding
/ Plant Breeding/Biotechnology
/ Plant Ecology
/ Plant Genetics and Genomics
/ Plant Sciences
/ Pollination
/ QTL mapping
/ Quantitative trait loci
/ Rice
/ Salinity
/ Salinity effects
/ salt stress
/ Seed set
/ Single-nucleotide polymorphism
/ SNP
/ sowing
/ Sterility
/ stress tolerance
/ Stresses
/ Transcription
/ Wheat
2017
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High Resolution Mapping of QTLs for Heat Tolerance in Rice Using a 5K SNP Array
by
SV, Amitha Mithra
, Mohapatra, Trilochan
, Prakash, Chandra
, PS, Shanmugavadivel
, Tiwari, Ratan
, Singh, Nagendra Kumar
, MK, Ramkumar
in
Agriculture
/ Arrays
/ Barley
/ Biomedical and Life Sciences
/ Chromosome 5
/ Chromosome 9
/ Chromosomes
/ Crop improvement
/ Crop production
/ Crop yield
/ Crops
/ Cultivars
/ Drought
/ florets
/ Flowering
/ Gene mapping
/ Genes
/ genomics
/ Genotyping
/ Grain
/ grain quality
/ Heat
/ Heat stress
/ Heat tolerance
/ High resolution
/ inbred lines
/ Inbreeding
/ Incidence
/ India
/ Life Sciences
/ Mapping
/ marker-assisted selection
/ Markers
/ Nagina22
/ Original
/ Original Article
/ Oryza sativa
/ Parents
/ phenotype
/ phenotypic variation
/ Phenotypic variations
/ Phenotyping
/ Plant breeding
/ Plant Breeding/Biotechnology
/ Plant Ecology
/ Plant Genetics and Genomics
/ Plant Sciences
/ Pollination
/ QTL mapping
/ Quantitative trait loci
/ Rice
/ Salinity
/ Salinity effects
/ salt stress
/ Seed set
/ Single-nucleotide polymorphism
/ SNP
/ sowing
/ Sterility
/ stress tolerance
/ Stresses
/ Transcription
/ Wheat
2017
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High Resolution Mapping of QTLs for Heat Tolerance in Rice Using a 5K SNP Array
Journal Article
High Resolution Mapping of QTLs for Heat Tolerance in Rice Using a 5K SNP Array
2017
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Overview
Background
Heat stress is one of the major abiotic threats to rice production, next to drought and salinity stress. Incidence of heat stress at reproductive phase of the crop results in abnormal pollination leading to floret sterility, low seed set and poor grain quality. Identification of QTLs and causal genes for heat stress tolerance at flowering will facilitate breeding for improved heat tolerance in rice. In the present study, we used 272 F
8
recombinant inbred lines derived from a cross between Nagina22, a well-known heat tolerant
Aus
cultivar and IR64, a heat sensitive popular
Indica
rice variety to map the QTLs for heat tolerance.
Results
To enable precise phenotyping for heat stress tolerance, we used a controlled phenotyping facility available at ICAR-Indian Institute of Wheat and Barley Research, Karnal, India. Based on ‘days to 50% flowering’ data of the RILs, we followed staggered sowing to synchronize flowering to impose heat stress at uniform stage. Using the Illumina infinium 5K SNP array for genotyping the parents and the RILs, and stress susceptibility and stress tolerance indices (SSI and STI) of percent spikelet sterility and yield per plant (g), we identified five QTLs on chromosomes 3, 5, 9 and 12. The identified QTLs explained phenotypic variation in the range of 6.27 to 21. 29%. Of these five QTLs, two high effect QTLs, one novel (
qSTIPSS9
.1) and one known (
qSTIY5.1/qSSIY5
.2), were mapped in less than 400 Kbp genomic regions, comprising of 65 and 54 genes, respectively.
Conclusions
The present study identified two major QTLs for heat tolerance in rice in narrow physical intervals, which can be employed for crop improvement by marker assisted selection (MAS) after development of suitable scorable markers for breeding of high yielding heat tolerant rice varieties. This is the first report of a major QTL for heat tolerance on chromosome 9 of rice. Further, a known QTL for heat tolerance on chromosome 5 was narrowed down from 23 Mb to 331 Kbp in this study.
Publisher
Springer US,Springer Nature B.V,SpringerOpen
Subject
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