Evidence map›Paper›PMID 31842779›Full record

ArticleBMC plant biology2019

Haplotype block analysis of an Argentinean hexaploid wheat collection and GWAS for yield components and adaptation.

Silvana Marisol Luján Basile, Ignacio Abel Ramírez, Juan Manuel Crescente, Maria Belén Conde, Melina Demichelis, Pablo Abbate, William John Rogers, Ana Clara Pontaroli, Marcelo Helguera, Leonardo Sebastián Vanzetti

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
13.4field-weighted citation impact, top 1% 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

42 citing papers in PubMed, 75 citations in OpenAlex.

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  14. Identification of superior and rare haplotypes to optimize branch number in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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  18. The selection and application of peduncle length QTL QPL_6D.1 in modern wheat (Triticum aestivum L.) breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Silvana Marisol Luján BasileLaboratorio de Biología Funcional y Biotecnología (BIOLAB)-INBIOTEC-CONICET, Facultad de Agronomía, UNCPBA., Av. República de Italia, Azul, 7300, Argentina.
Ignacio Abel RamírezUnidad Integrada Balcarce Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata - Estación Experimental Agropecuaria Balcarce, Instituto Nacional de Tecnología, Ruta 226, km 73.5, Balcarce, 24105, Argentina.
Juan Manuel CrescenteLaboratorio de Biotecnología, EEA INTA Marcos Juárez, Grupo Biotecnología y Recursos Genéticos, Instituto Nacional de Tecnología Agropecuaria, Ruta 12 s/n, Marcos Juárez, 2580, Argentina.
Maria Belén CondeLaboratorio de Biotecnología, EEA INTA Marcos Juárez, Grupo Biotecnología y Recursos Genéticos, Instituto Nacional de Tecnología Agropecuaria, Ruta 12 s/n, Marcos Juárez, 2580, Argentina.
Melina DemichelisLaboratorio de Biotecnología, EEA INTA Marcos Juárez, Grupo Biotecnología y Recursos Genéticos, Instituto Nacional de Tecnología Agropecuaria, Ruta 12 s/n, Marcos Juárez, 2580, Argentina.
Pablo AbbateUnidad Integrada Balcarce Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata - Estación Experimental Agropecuaria Balcarce, Instituto Nacional de Tecnología, Ruta 226, km 73.5, Balcarce, 24105, Argentina.
William John RogersLaboratorio de Biología Funcional y Biotecnología (BIOLAB)-INBIOTEC-CONICET, Facultad de Agronomía, UNCPBA., Av. República de Italia, Azul, 7300, Argentina.
Ana Clara PontaroliUnidad Integrada Balcarce Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata - Estación Experimental Agropecuaria Balcarce, Instituto Nacional de Tecnología, Ruta 226, km 73.5, Balcarce, 24105, Argentina.
Marcelo HelgueraLaboratorio de Biotecnología, EEA INTA Marcos Juárez, Grupo Biotecnología y Recursos Genéticos, Instituto Nacional de Tecnología Agropecuaria, Ruta 12 s/n, Marcos Juárez, 2580, Argentina.
Leonardo Sebastián VanzettiLaboratorio de Biotecnología, EEA INTA Marcos Juárez, Grupo Biotecnología y Recursos Genéticos, Instituto Nacional de Tecnología Agropecuaria, Ruta 12 s/n, Marcos Juárez, 2580, Argentina. vanzetti.leonardo@inta.gob.ar.ORCID http://orcid.org/0000-0002-7688-5648
Consejo Nacional de Investigaciones Científicas y Técnicas · ARNational Agricultural Technology Institute · ARNational University of Mar del Plata · ARCentro Científico Tecnológico - San Juan · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreasing wheat (Triticum aestivum L.) production is required to feed a growing human population. In order to accomplish this task a deeper understanding of the genetic structure of cultivated wheats and the detection of genomic regions significantly associated with the regulation of important agronomic traits are necessary steps. To better understand the genetic basis and relationships of adaptation and yield related traits, we used a collection of 102 Argentinean hexaploid wheat cultivars genotyped with the 35k SNPs array, grown from two to six years in three different locations. Based on SNPs data and gene-related molecular markers, we performed a haplotype block characterization of the germplasm and a genome-wide association study (GWAS).

resultsThe genetic structure of the collection revealed four subpopulations, reflecting the origin of the germplasm used by the main breeding programs in Argentina. The haplotype block characterization showed 1268 blocks of different sizes spread along the genome, including highly conserved regions like the 1BS chromosome arm where the 1BL/1RS wheat/rye translocation is located. Based on GWAS we identified ninety-seven chromosome regions associated with heading date, plant height, thousand grain weight, grain number per spike and fruiting efficiency at harvest (FEh). In particular FEh stands out as a promising trait to raise yield potential in Argentinean wheats; we detected fifteen haplotypes/markers associated with increased FEh values, eleven of which showed significant effects in all three evaluated locations. In the case of adaptation, the Ppd-D1 gene is consolidated as the main determinant of the life cycle of Argentinean wheat cultivars.

conclusionThis work reveals the genetic structure of the Argentinean hexaploid wheat germplasm using a wide set of molecular markers anchored to the Ref Seq v1.0. Additionally GWAS detects chromosomal regions (haplotypes) associated with important yield and adaptation components that will allow improvement of these traits through marker-assisted selection.

Indexed as

HaplotypesPolyploidyAdaptation, BiologicalArgentinaGenome-Wide Association StudyTriticumFruiting efficiency at harvestGrain number per spikeGWASHaplotypeHeading datePlant heightThousand grain weightWheat

Identifiers

PMID31842779
PMCPMC6916457
OpenAlexW2996279284

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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.