Fine mapping of interspecific secondary CSSL populations revealed key regulators for grain weight at qTGW3.1 locus from Oryza nivara
Author:
Funder
ICAR- National Professor Project
DBT BioCare Project
SERB
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12298-024-01483-0.pdf
Reference85 articles.
1. Addanki KR, Balakrishnan D, Rao YV, Malathi S, Sukumar M, Kavitha B, Sarla N (2018) Swarna × Oryza nivara introgression lines: a resource for seedling vigour traits in rice. Plant Genet Resour UK 17(1):12–23
2. Aloryi KD, Okpala NE, Amo A, Bello SF, Akaba S, Tian X (2022) A meta quantitative trait loci analysis identified consensus genomic regions and candidate genes associated with grain yield in rice. Front Plant Sci 13:1035851. https://doi.org/10.3389/fpls.2022.1035851
3. Anilkumar C, Sah RP, Muhammed Azharudheen TP, Behera S, Singh N, Prakash NR, Sunitha NC, Devanna BN, Marndi BC, Patra BC, Nair SK (2022) Understanding complex genetic architecture of rice grain weight through QTL-meta analysis and candidate gene identification. Sci Rep 12(1):13832. https://doi.org/10.1038/s41598-022-17402-w
4. Balakrishnan D, Subrahmanyam D, Jyothi B, Raju AK, Rao YV, Kavitha B, Sukumar M, Malathi S, Revathi P, Padmavathi G, Ravindra Babu V, Sarla N (2016) Genotype × Environment interactions of yield traits in backcross introgression lines derived from Oryza sativa cv. Swarna/Oryza nivara. Front Plant Sci 7:1530. https://doi.org/10.3389/fpls.2016.01530
5. Balakrishnan D, Malathi S, Sukumar M, Sarla N (2019) Development and use of chromosome segment substitution lines as a genetic resource for crop improvement. Theor Appl Genet 132:1–25
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