Evidence map›Paper›PMID 27446139›Full record

ArticleFrontiers in plant science2016

SNP-Based QTL Mapping of 15 Complex Traits in Barley under Rain-Fed and Well-Watered Conditions by a Mixed Modeling Approach.

Freddy Mora, Yerko A Quitral, Ivan Matus, Joanne Russell, Robbie Waugh, Alejandro Del Pozo

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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 20 papers.

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20citing 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

20 citing papers in PubMed.

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  15. Development and evaluation of high-density AxiomPlant biotechnology journal · 2018
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Freddy MoraInstituto de Ciencias Biológicas, Área de Biología Molecular y Biotecnología, Universidad de Talca Talca, Chile.
Yerko A QuitralCentro de Mejoramiento Genético y Fenómica Vegetal, Facultad de Ciencias Agrarias, PIEI Adaptación de la Agricultura al Cambio Climático (A2C2), Universidad de Talca Talca, Chile.
Ivan MatusCentro Regional de Investigación Quilamapu, Instituto de Investigaciones Agropecuarias Chillán, Chile.
Joanne RussellThe James Hutton Institute Dundee, Scotland.
Robbie WaughThe James Hutton Institute Dundee, Scotland.
Alejandro Del PozoCentro de Mejoramiento Genético y Fenómica Vegetal, Facultad de Ciencias Agrarias, PIEI Adaptación de la Agricultura al Cambio Climático (A2C2), Universidad de Talca Talca, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study identified single nucleotide polymorphism (SNP) markers associated with 15 complex traits in a breeding population of barley (Hordeum vulgare L.) consisting of 137 recombinant chromosome substitution lines (RCSL), evaluated under contrasting water availability conditions in the Mediterranean climatic region of central Chile. Given that markers showed a very strong segregation distortion, a quantitative trait locus/loci (QTL) mapping mixed model was used to account for the heterogeneity in genetic relatedness between genotypes. Fifty-seven QTL were detected under rain-fed conditions, which accounted for 5-22% of the phenotypic variation. In full irrigation conditions, 84 SNPs were significantly associated with the traits studied, explaining 5-35% of phenotypic variation. Most of the QTL were co-localized on chromosomes 2H and 3H. Environment-specific genomic regions were detected for 12 of the 15 traits scored. Although most QTL-trait associations were environment and trait specific, some important and stable associations were also detected. In full irrigation conditions, a relatively major genomic region was found underlying hectoliter weight (HW), on chromosome 1H, which explained between 27% (SNP 2711-234) and 35% (SNP 1923-265) of the phenotypic variation. Interestingly, the locus 1923-265 was also detected for grain yield at both environmental conditions, accounting for 9 and 18%, in the rain-fed and irrigation conditions, respectively. Analysis of QTL in this breeding population identified significant genomic regions that can be used for marker-assisted selection (MAS) of barley in areas where drought is a significant constraint.

Indexed as

droughtkinshipmarker segregation distortionphysiological traitRCSL

Identifiers

PMID27446139
PMCPMC4921488

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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.