Evidence map›Paper›PMID 27375646›Full record

ArticleFrontiers in plant science2016

Genetic Diversity and Elite Allele Mining for Grain Traits in Rice (Oryza sativa L.) by Association Mapping.

Wisdom M Edzesi, Xiaojing Dang, Lijun Liang, Erbao Liu, Imdad U Zaid, Delin Hong

Abstract read
In one paragraph

Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

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16citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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  5. Genetic architecture of AlEcotoxicology (London, England) · 2021
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Wisdom M EdzesiState Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University Nanjing, China.
Xiaojing DangState Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University Nanjing, China.
Lijun LiangState Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University Nanjing, China.
Erbao LiuState Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University Nanjing, China.
Imdad U ZaidState Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University Nanjing, China.
Delin HongState Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mining elite alleles for grain size and weight is of importance for the improvement of cultivated rice and selection for market demand. In this study, association mapping for grain traits was performed on a selected sample of 628 rice cultivars using 262 SSRs. Grain traits were evaluated by grain length (GL), grain width (GW), grain thickness (GT), grain length to width ratio (GL/GW), and 1000-grain weight (TGW) in 2013 and 2014. Our result showed abundant phenotypic and genetic diversities found in the studied population. In total, 2953 alleles were detected with an average of 11.3 alleles per locus. The population was divided into seven subpopulations and the levels of linkage disequilibrium (LD) ranged from 34 to 84 cM. Genome-wide association mapping detected 10 marker trait association (MTAs) loci for GL, 1MTAs locus for GW, 7 MTAs loci for GT, 3 MTAs loci for GL/GW, and 1 MTAs locus for TGW. Twenty-nine, 2, 10, 5, and 3 elite alleles were found for the GL, GW, GT, GL/GW, and TGW, respectively. Optimal cross designs were predicted for improving the target traits. The accessions containing elite alleles for grain traits mined in this study could be used for breeding rice cultivars and cloning the candidate genes.

Indexed as

association mappingelite allelesgrain traitslinkage disequilibriumrice

Identifiers

PMID27375646
PMCPMC4896222

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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.