Evidence map›Paper›PMID 35881571›Full record

ArticlePloS one2022

Unraveling the genomic regions controlling the seed vigour index, root growth parameters and germination per cent in rice.

Saumya Ranjan Barik, Elssa Pandit, Priyadarshini Sanghamitra, Shakti Prakash Mohanty, Abhisarika Behera, Jyotirmayee Mishra, Deepak Kumar Nayak, Ramakrushna Bastia, Arpita Moharana, Auromira Sahoo and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
8.6field-weighted citation impact, top 2% of its field
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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3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
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  7. Article
  8. Rice breeding for low input agriculture.Frontiers in plant science · 2024
    Review
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Saumya Ranjan BarikICAR-National Rice Research Institute, Cuttack, Odisha, India.
Elssa PanditICAR-National Rice Research Institute, Cuttack, Odisha, India.
Priyadarshini SanghamitraICAR-National Rice Research Institute, Cuttack, Odisha, India.
Shakti Prakash MohantyICAR-National Rice Research Institute, Cuttack, Odisha, India.
Abhisarika BeheraICAR-National Rice Research Institute, Cuttack, Odisha, India.
Jyotirmayee MishraCollege of Agriculture, OUAT, Bhubaneswar, Odisha, India.
Deepak Kumar NayakICAR-National Rice Research Institute, Cuttack, Odisha, India.
Ramakrushna BastiaICAR-National Rice Research Institute, Cuttack, Odisha, India.
Arpita MoharanaICAR-National Rice Research Institute, Cuttack, Odisha, India.
Auromira SahooICAR-National Rice Research Institute, Cuttack, Odisha, India.
Sharat Kumar PradhanICAR-National Rice Research Institute, Cuttack, Odisha, India.ORCID 0000-0001-7716-0721
Central Rice Research Institute · INFakir Mohan University · INOdisha University of Agriculture and Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High seed vigour ensures good quality seed and higher productivity. Early seedling growth parameters indicate seed vigour in rice. Seed vigour via physiological growth parameters is a complex trait controlled by many quantitative trait loci. A panel was prepared representing a population of 274 rice landraces by including genotypes from all the phenotypic groups of sixseedling stage physiological parameters including germination % for association mapping. Wide variations for the six studiedtraits were observed in the population. The population was classified into 3 genetic groups. Fixation indices indicated the presence of linkage disequilibrium in the population. The population was classified into subpopulations and each subpopulation showed correspondence with the 6 physiological traits. A total of 5 reported QTLs viz., qGP8.1 for germination % (GP); qSVII2.1, qSVII6.1 and qSVII6.2 for seed vigour index II (SVII), and qRSR11.1 for root-shoot ratio (RSR) were validated in this mapping population. In addition, 13 QTLs regulating the physiological parameters such as qSVI 11.1 for seed vigour index I; qSVI11.1 and qSVI12.1 for seed vigour index II; qRRG10.1, qRRG8.1, qRRG8.2, qRRG6.1 and qRRG4.1 for rate of root growth (RRG); qRSR2.1, qRSR3.1 and qRSR5.1 for root-shoot ratio (RSR) while qGP6.2 and qGP6.3 for germination %were identified. Additionally, co-localization or co-inheritance of QTLs, qGP8.1 and qSVI8.1 for GP and SVI-1; qGP6.2 and qRRG6.1 for GP and RRG, and qSVI11.1 and qRSR11.1 for SVI and RSR were detected. The QTLs identified in this study will be useful for improvement of seed vigour trait in rice.

Indexed as

GerminationOryzaGenomicsQuantitative Trait LociSeedlingsSeeds

Identifiers

PMID35881571
PMCPMC9321372
OpenAlexW4288039532

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.