Evidence map›Paper›PMID 38202369›Full record

ArticlePlants (Basel, Switzerland)2023

Physiological Analysis of Source-Sink Relationship in Rice Genotypes with Contrasting Grain Yields.

Chandrapal Vishwakarma, Gopinathan Kumar Krishna, Riti Thapar Kapoor, Komal Mathur, Monika Dalal, Nagendra Kumar Singh, Trilochan Mohapatra, Viswanathan Chinnusamy

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Chandrapal VishwakarmaDivision of Plant Physiology, Indian Council of Agricultural Research-Indian Agricultural Research Institute (IARI), New Delhi 110012, India.
Gopinathan Kumar KrishnaDepartment of Plant Physiology, College of Agriculture, Vellanikkara, Kerala Agricultural University, Thrissur 680656, Kerala, India.ORCID 0000-0002-8851-0042
Riti Thapar KapoorAmity Institute of Biotechnology, Amity University Uttar Pradesh, Noida 201313, Uttar Pradesh, India.
Komal MathurAmity Institute of Biotechnology, Amity University Uttar Pradesh, Noida 201313, Uttar Pradesh, India.
Monika DalalIndian Council of Agricultural Research-National Institute for Plant Biotechnology, New Delhi 110012, India.
Nagendra Kumar SinghIndian Council of Agricultural Research-National Institute for Plant Biotechnology, New Delhi 110012, India.
Trilochan MohapatraProtection of Plant Varieties and Farmers' Rights Authority, New Delhi 110012, India.
Viswanathan ChinnusamyDivision of Plant Physiology, Indian Council of Agricultural Research-Indian Agricultural Research Institute (IARI), New Delhi 110012, India.

Funding

Incentivizing Research in Agriculture, Indian Council of Agricultural Research, New Delhi IARI project code 21-46
6 · The paper itself

Abstract

Rice is a major staple food, and, hence, doubling its productivity is critical to sustain future food security. Improving photosynthesis, source-sink relationships and grain-filling mechanisms are promising traits for improvement in grain yield. To understand the source-sink relationship and grain yield, a set of contrasting rice genotypes differing in yield and biomass were studied for physiological, biochemical and gene-expression differences. The physiological and yield component traits of selected rice genotypes were analyzed in 2016 and 2017 under field conditions. This led to the categorization of genotypes as high yielding (HY) and high biomass, viz., Dular, Gontra Bidhan 3, Way Rarem, Patchai Perumal, Sahbhagi Dhan, Indira Barani Dhan-1, MTU1010, and Maudamani; while, low yielding (LY) and low biomass, viz. Anjali, Ghanteswari, Parijat, Khao Daw Tai, RKVY-104, Ghati Kamma Nangarhar, BAM4510 and BAM5850. The HY genotypes in general had relatively better values of yield component traits, higher photosynthetic rate (Pn) and chlorophyll (Chl) content. The study revealed that leaf area per plant and whole plant photosynthesis are the key traits contributing to high biomass production. We selected two good-performing (Sahbhagi Dhan and Maudamani) and two poor-performing (Ghanteswari and Parijat) rice genotypes for a detailed expression analysis of selected genes involved in photosynthesis, sucrose synthesis, transport, and starch synthesis in the leaf and starch metabolism in grain. Some of the HY genotypes had a relatively high level of expression of key photosynthesis genes, such as

Indexed as

allelegene expressiongenes and traitsgrainleafphotosynthesisrice (Oryza sativa L.)source–sinkstarch and sugar

Identifiers

PMID38202369
PMCPMC10780537

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