Mapping of QTLs for Grain Yield and its Component Traits under Drought Stress in Elite Rice Variety of Assam

Verma, Rahul Kumar; Chetia, S. K.; Dey, P. C.; Baruah, Anubha; Modi, Mahendra Kumar

doi:10.20546/ijcmas.2017.606.169

Cited by 6 publications

(4 citation statements)

References 23 publications

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“…The distinct parents (Banglami as the donor of drought tolerance and Ranjit as the recipient) were crossed and true F1 seeds were obtained after con rmation of hybridity (Verma et al, 2017). The F1s were selfed repeatedly upto 7 generations to obtain F7 population of a set of 210 RILs.…”

Section: Resultsmentioning

confidence: 99%

“…A breeding programme was undertaken by Verma et al (2017) for the improvement of rice for drought tolerance. From the available indigenous knowledge, a traditional drought-tolerant local landrace Banglami was used as the donor for the programme.…”

Section: Plant Materials and Population Developmentmentioning

confidence: 99%

“…In the present study, a set of 210 RIL mapping population developed (Verma et al,2017). This population was evaluated along with 6 standard checks (including 2 parents) for drought tolerance in 2 separate seasons (Kharif season 2020-F6 and Kharif season 2021-F7) and QTLs were mapped from both reproductive stage drought stress (RS) and non stress (NS) data.…”

Section: Introductionmentioning

confidence: 99%

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Molecular mapping of drought-responsive QTLs during the reproductive stage of rice using a GBS (genotyping-by-sequencing) based SNP linkage map

Roy

Verma²,

Chetia³

et al. 2022

Mol Biol Rep

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The reproductive stage is the most important critical stage in rice where water is needed for the formation of seeds. Water scarcity in this situation drastically reduces yield which in turn hampers farmers' effort towards agriculture. Traditional landraces do have resistant genes inside them against several abiotic and biotic stresses which can act as valuable donors to produce new gene combinations. A high-density SNP based genetic map was constructed by Genotyping by sequencing (GBS) technique using F7 recombinant inbred line (RIL) population developed from Banglami x Ranjit to identify tightly linked markers associated with QTLs. The total map length was 1306.424 cM which had an average inter-marker distance of 0.281 cM. A total of 42 QTLs were identi ed under both reproductive stage drought stress (RS) and non stress (NS) conditions for sixteen different yield and its component traits which explained a phenotypic variance (PVE) of 1.95-13.36 %. Four QTLs explained a PVE ≥ 10% which denotes they are major QTLs. Analysis of the genes present within the QTL regions revealed the presence of 6 candidate genes which were differentially expressed under stress condition. These genes and QTLs will be helpful for marker-assisted pyramiding to improve drought tolerance in rice.

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Section: Resultsmentioning

confidence: 99%

Section: Plant Materials and Population Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Molecular mapping of drought-responsive QTLs during the reproductive stage of rice using a GBS (genotyping-by-sequencing) based SNP linkage map

Roy

Verma²,

Chetia³

et al. 2022

Mol Biol Rep

View full text Add to dashboard Cite

show abstract

“…Similarly, QTLs were reported in the F 2 population derived from a cross between a back cross inbred line ( japonica × indica ) and a japonica cultivar Z550 ( Wang et al, 2018 ). Various studies reported QTLs for yield traits in rice using primary mapping populations like F 2:3 ( Sabouri et al, 2009 ; Zhang et al, 2010 ; Kim et al, 2014 ; Tian et al, 2015 ; Biswas et al, 2017 ; Kumar et al, 2019 ) and F 2:4 ( Rabiei et al, 2015 ; Verma et al, 2017 ; Jeon et al, 2018 ; Kumar et al, 2019 ). Crossing of two wild-derived back cross inbred lines generate hybrid lines which can closely resemble the parental lines ( Wang et al, 2018 ) with combination of improved traits.…”

Section: Introductionmentioning

confidence: 99%

Mapping of QTLs for Yield Traits Using F2:3:4 Populations Derived From Two Alien Introgression Lines Reveals qTGW8.1 as a Consistent QTL for Grain Weight From Oryza nivara

et al. 2022

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Wild introgressions play a crucial role in crop improvement by transferring important novel alleles and broadening allelic diversity of cultivated germplasm. In this study, two stable backcross alien introgression lines 166s and 14s derived from Swarn/Oryza nivara IRGC81848 were used as parents to generate populations to map quantitative trait loci (QTLs) for yield-related traits. Field evaluation of yield-related traits in F2, F3, and F4 population was carried out in normal irrigated conditions during the wet season of 2015 and dry seasons of 2016 and 2018, respectively. Plant height, tiller number, productive tiller number, total dry matter, and harvest index showed a highly significant association to single plant yield in F2, F3, and F4. In all, 21, 30, and 17 QTLs were identified in F2, F2:3, and F2:4, respectively, for yield-related traits. QTLs qPH6.1 with 12.54% phenotypic variance (PV) in F2, qPH1.1 with 13.01% PV, qTN6.1 with 10.08% PV in F2:3, and qTGW6.1 with 15.19% PV in F2:4 were identified as major effect QTLs. QTLs qSPY4.1 and qSPY6.1 were detected for grain yield in F2 and F2:3 with PV 8.5 and 6.7%, respectively. The trait enhancing alleles of QTLs qSPY4.1, qSPY6.1, qPH1.1, qTGW6.1, qTGW8.1, qGN4.1, and qTDM5.1 were from O. nivara. QTLs of the yield contributing traits were found clustered in the same chromosomal region. qTGW8.1 was identified in a 2.6 Mb region between RM3480 and RM3452 in all three generations with PV 6.1 to 9.8%. This stable and consistent qTGW8.1 allele from O. nivara can be fine mapped for identification of causal genes. From this population, lines C212, C2124, C2128, and C2143 were identified with significantly higher SPY and C2103, C2116, and C2117 had consistently higher thousand-grain weight values than both the parents and Swarna across the generations and are useful in gene discovery for target traits and further crop improvement.

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Identification and characterization of genes for drought tolerance in upland rice cultivar ‘Banglami’ of North East India

Verma¹,

Chetia²,

Sharma

et al. 2022

Mol Biol Rep

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Mapping of QTLs for Grain Yield and its Component Traits under Drought Stress in Elite Rice Variety of Assam

Cited by 6 publications

References 23 publications

Molecular mapping of drought-responsive QTLs during the reproductive stage of rice using a GBS (genotyping-by-sequencing) based SNP linkage map

Molecular mapping of drought-responsive QTLs during the reproductive stage of rice using a GBS (genotyping-by-sequencing) based SNP linkage map

Mapping of QTLs for Yield Traits Using F2:3:4 Populations Derived From Two Alien Introgression Lines Reveals qTGW8.1 as a Consistent QTL for Grain Weight From Oryza nivara

Identification and characterization of genes for drought tolerance in upland rice cultivar ‘Banglami’ of North East India

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