Evidence map›Paper›PMID 31948408›Full record

ArticleBMC genetics2020

Mining of favorable alleles for seed reserve utilization efficiency in Oryza sativa by means of association mapping.

Nour Ali, Dalu Li, Moaz S Eltahawy, Dina Abdulmajid, Lal Bux, Erbao Liu, Xiaojing Dang, Delin Hong

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
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  4. Breeding rice for a changing climate by improving adaptations to water saving technologies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
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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 at 1 institution in 4 countries.

Nour AliNanjing Agricultural University, Nanjing, 210095, China.
Dalu LiNanjing Agricultural University, Nanjing, 210095, China.
Moaz S EltahawyNanjing Agricultural University, Nanjing, 210095, China.
Dina AbdulmajidNanjing Agricultural University, Nanjing, 210095, China.
Lal BuxNanjing Agricultural University, Nanjing, 210095, China.
Erbao LiuNanjing Agricultural University, Nanjing, 210095, China.
Xiaojing DangNanjing Agricultural University, Nanjing, 210095, China.
Delin HongNanjing Agricultural University, Nanjing, 210095, China. delinhong@njau.edu.cn.ORCID 0000-0001-6251-4830
Nanjing Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWet direct-seeded rice is a possible alternative to conventional puddled transplanted rice; the former uses less water and reduces labor requirements. Improving seed reserve utilization efficiency (SRUE) is a key factor in facilitating the application of this technology. However, the QTLs controlling this trait are poorly investigated. In this study, a genome-wide association study (GWAS) was conducted using a natural population composed of 542 accessions of rice (Oryza sativa L.) which were genotyped using 266 SSR markers. Large phenotypic variations in SRUE were found in the studied population.

resultsThe average SRUE over 542 accessions across two years (2016 and 2017) was 0.52 mg.mg

conclusionNine novel association loci for SRUE were identified, compared with previous studies. The optimal parental combinations for pyramiding more favorable alleles for SRUE were selected and could be used for breeding rice accessions suitable for wet direct seeding in the future.

Indexed as

Chromosome MappingQuantitative Trait, HeritableQuantitative Trait LociAllelesBreedingChromosomes, PlantEvolution, MolecularGenetics, PopulationGenetic VariationGenome-Wide Association StudyGenotypeLinkage DisequilibriumOryzaPhenotypeSeedsAssociation mappingDirect seedingFavorable allelesOryza sativaSeed reserve utilization efficiency

Identifiers

PMID31948408
PMCPMC6966888
OpenAlexW2999913169

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.