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.
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 identified 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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