Rameswar Prasad Sah
Overview
Explore the profile of Rameswar Prasad Sah including associated specialties, affiliations and a list of published articles.
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Articles
15
Citations
59
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Recent Articles
1.
Sahoo U, Biswal M, Nayak L, Kumar R, Tiwari R, Lal M, et al.
J Sci Food Agric
. 2024 Dec;
105(5):3064-3072.
PMID: 39668489
Background: High resistant starch (RS) rice with a low glycemic index (GI) is digested more slowly, resulting in a slow increase in the postprandial blood glucose level. People with milled...
2.
Panda S, Kumar R N, Pavani S L, Ganesan S, Singh P, Sah R, et al.
Front Plant Sci
. 2023 Nov;
14:1280321.
PMID: 37965010
Introduction: Sheath blight caused by is one of the major diseases of rice, causing widespread crop losses. The use of semi-dwarf rice varieties in the ongoing nutrient-intensive rice cultivation system...
3.
Anilkumar C, Azharudheen T, Sah R, Sunitha N, Devanna B, Marndi B, et al.
Heredity (Edinb)
. 2023 Feb;
130(5):335-345.
PMID: 36792661
It is hypothesized that the genome-wide genic markers may increase the prediction accuracy of genomic selection for quantitative traits. To test this hypothesis, a set of candidate gene-based markers for...
4.
Sekhar S, Das S, Panda D, Mohanty S, Mishra B, Kumar A, et al.
Plants (Basel)
. 2022 Oct;
11(19).
PMID: 36235424
Low light intensity affects several physiological parameters during the different growth stages in rice. Plants have various regulatory mechanisms to cope with stresses. One of them is the differential and...
5.
Farooqi M, Nawaz G, Wani S, Choudhary J, Rana M, Sah R, et al.
Front Plant Sci
. 2022 Oct;
13:965878.
PMID: 36212378
High-throughput sequencing technologies (HSTs) have revolutionized crop breeding. The advent of these technologies has enabled the identification of beneficial quantitative trait loci (QTL), genes, and alleles for crop improvement. Climate...
6.
Tp M, Kumar A, Anilkumar C, Sah R, Behera S, Marndi B
BMC Plant Biol
. 2022 Sep;
22(1):446.
PMID: 36114452
Background: The nutritional value of rice can be improved by developing varieties with optimum levels of grain phytic acid (PA). Artificial low-PA mutants with impaired PA biosynthesis have been developed...
7.
Sah R, Nayak A, Chandrappa A, Behera S, Tp M, Lavanya G
J Sci Food Agric
. 2022 Sep;
103(2):720-728.
PMID: 36054367
Background: To improve production efficiency, positive alleles corresponding to yield-related attributes must be accumulated in a single elite background. We designed and used cgSSR markers, which are superior to random...
8.
Anilkumar C, Sah R, Azharudheen T, Behera S, Singh N, Prakash N, et al.
Sci Rep
. 2022 Aug;
12(1):13832.
PMID: 35974066
Quantitative trait loci (QTL) for rice grain weight identified using bi-parental populations in various environments were found inconsistent and have a modest role in marker assisted breeding and map-based cloning...
9.
Sah R, Behera S, Dash S, Azharudheen T, Meher J, Kumar A, et al.
Physiol Mol Biol Plants
. 2022 Aug;
28(6):1217-1232.
PMID: 35910441
Supplementary Information: The online version contains supplementary material available at 10.1007/s12298-022-01190-8.
10.
Loitongbam B, Singh P, Sah R, Verma O, Singh B, Bisen P, et al.
J Sci Food Agric
. 2022 May;
102(14):6309-6319.
PMID: 35531753
Background: Deficiency of Zn is a major soil constraint in rice plant growth and yield. Edaphic factors such as Zn deficiency in soil in relation to plant performance are still...