Discovery of genomic regions and candidate genes for grain weight employing next generation sequencing based QTL-seq approach in rice (Oryza sativa L.)-Reference-Cited by-同舟云学术

Discovery of genomic regions and candidate genes for grain weight employing next generation sequencing based QTL-seq approach in rice (Oryza sativa L.)

Published:2020-10-24 Issue:11 Volume:47 Page:8615-8627
ISSN:0301-4851
Container-title:Molecular Biology Reports
language:en
Short-container-title:Mol Biol Rep

Author:

Bommisetty Reddyyamini^ORCID,Chakravartty Navajeet,Bodanapu Reddaiah^ORCID,Naik Jeevula B.^ORCID,Panda Sanjib K.,Lekkala Sivarama P.^ORCID,Lalam Krishna^ORCID,Thomas George,Mallikarjuna S. J.^ORCID,Eswar G. R.^ORCID,Kadambari Gopalakrishna M.^ORCID,Bollineni Swarajyalakshmi N.^ORCID,Issa Keerthi^ORCID,Akkareddy Srividhya^ORCID,Srilakshmi C.^ORCID,Hariprasadreddy K.^ORCID,Rameshbabu P.^ORCID,Sudhakar P.^ORCID,Gupta Saurabh^ORCID,Lachagari V. B. R.^ORCID,Vemireddy Lakshminarayana R.^ORCID

Funder

Department of Biotechnology

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Molecular Biology,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11033-020-05904-7.pdf

Reference59 articles.

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2. Ray DK, Mueller ND, West PC, Foley JA (2013) Yield trends are insufficient to double global crop production by 2050. PLoS ONE 8(6):e66428

3. Chun Y, Fang J, Zafar SA, Shang J, Zhao J, Yuan S, Li X (2020) MINI SEED 2 (MIS2) encodes a receptor-like kinase that controls grain size and shape in rice. Rice 13:7. https://doi.org/10.1186/s12284-020-0368-9