Sah RP - Search Results

1

cgSSR marker-based genome-wide association study identified genomic regions for panicle characters and yield in rice (Oryza sativa L.).

Sah RP, Nayak AK, Chandrappa A, Behera S, Azharudheen Tp M, Lavanya GR. Sah RP, et al. J Sci Food Agric. 2023 Jan 30;103(2):720-728. doi: 10.1002/jsfa.12183. Epub 2022 Sep 2. J Sci Food Agric. 2023. PMID: 36054367

2

Evaluation of variability and environmental stability of grain quality and agronomic parameters of pigmented rice (O. sativa L.).

Sanghamitra P, Sah RP, Bagchi TB, Sharma SG, Kumar A, Munda S, Sahu RK. Sanghamitra P, et al. Among authors: sah rp. J Food Sci Technol. 2018 Mar;55(3):879-890. doi: 10.1007/s13197-017-2978-9. Epub 2018 Jan 22. J Food Sci Technol. 2018. PMID: 29487429 Free PMC article.

3

Phytic acid content may affect starch digestibility and glycemic index value of rice (Oryza sativa L.).

Kumar A, Sahu C, Panda PA, Biswal M, Sah RP, Lal MK, Baig MJ, Swain P, Behera L, Chattopadhyay K, Sharma S. Kumar A, et al. Among authors: sah rp. J Sci Food Agric. 2020 Mar 15;100(4):1598-1607. doi: 10.1002/jsfa.10168. Epub 2019 Dec 23. J Sci Food Agric. 2020. PMID: 31773736

4

A single nucleotide substitution in the SPDT transporter gene reduced phytic acid and increased mineral bioavailability from Rice grain (Oryza sativa L.).

Kumar A, Nayak S, Ngangkham U, Sah RP, Lal MK, Tp A, Behera S, Swain P, Behera L, Sharma S. Kumar A, et al. Among authors: sah rp. J Food Biochem. 2021 Jul;45(7):e13822. doi: 10.1111/jfbc.13822. Epub 2021 Jun 13. J Food Biochem. 2021. PMID: 34121203

5

Identification of QTLs for zinc deficiency tolerance in a recombinant inbred population of rice (Oryza sativa L.).

Loitongbam B, Singh PK, Sah RP, Verma OP, Singh B, Bisen P, Kulhari S, Rathi SR, Upadhyay S, Singh NK, Sahu R, Singh RK. Loitongbam B, et al. Among authors: sah rp. J Sci Food Agric. 2022 Nov;102(14):6309-6319. doi: 10.1002/jsfa.11981. Epub 2022 Jun 9. J Sci Food Agric. 2022. PMID: 35531753

6

Unravelling genetic architecture and development of core set from elite rice lines using yield-related candidate gene markers.

Sah RP, Behera S, Dash SK, Azharudheen TPM, Meher J, Kumar A, Marndi BC, Kar MK, Subudhi HN, Anilkumar C. Sah RP, et al. Physiol Mol Biol Plants. 2022 Jun;28(6):1217-1232. doi: 10.1007/s12298-022-01190-8. Epub 2022 Jul 8. Physiol Mol Biol Plants. 2022. PMID: 35910441 Free PMC article.

7

Understanding complex genetic architecture of rice grain weight through QTL-meta analysis and candidate gene identification.

Anilkumar C, Sah RP, Muhammed Azharudheen TP, Behera S, Singh N, Prakash NR, Sunitha NC, Devanna BN, Marndi BC, Patra BC, Nair SK. Anilkumar C, et al. Among authors: sah rp. Sci Rep. 2022 Aug 16;12(1):13832. doi: 10.1038/s41598-022-17402-w. Sci Rep. 2022. PMID: 35974066 Free PMC article.

8

Understanding natural genetic variation for grain phytic acid content and functional marker development for phytic acid-related genes in rice.

Tp MA, Kumar A, Anilkumar C, Sah RP, Behera S, Marndi BC. Tp MA, et al. Among authors: sah rp. BMC Plant Biol. 2022 Sep 17;22(1):446. doi: 10.1186/s12870-022-03831-2. BMC Plant Biol. 2022. PMID: 36114452 Free PMC article.

9

Gene based markers improve precision of genome-wide association studies and accuracy of genomic predictions in rice breeding.

Anilkumar C, Muhammed Azharudheen TP, Sah RP, Sunitha NC, Devanna BN, Marndi BC, Patra BC. Anilkumar C, et al. Among authors: sah rp. Heredity (Edinb). 2023 May;130(5):335-345. doi: 10.1038/s41437-023-00599-5. Epub 2023 Feb 15. Heredity (Edinb). 2023. PMID: 36792661 Free PMC article.

10

Identification of simple sequence repeat markers linked to heat tolerance in rice using bulked segregant analysis in F₂ population of NERICA-L 44 × Uma.

Stephen K, Aparna K, Beena R, Sah RP, Jha UC, Behera S. Stephen K, et al. Among authors: sah rp. Front Plant Sci. 2023 Mar 27;14:1113838. doi: 10.3389/fpls.2023.1113838. eCollection 2023. Front Plant Sci. 2023. PMID: 37051081 Free PMC article.

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