Evidence map›Paper›PMID 34311707›Full record

ArticleBMC plant biology2021

Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations.

Nicole Pretini, Leonardo S Vanzetti, Ignacio I Terrile, Guillermo Donaire, Fernanda G González

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In one paragraph

Article in BMC plant biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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10citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Efficient identification of QTL for agronomic traits in foxtail millet (Setaria italica) using RTM- and MLM-GWAS.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  6. Article
  7. Characterization and fine mapping analysis of a major stable QTL qKnps-4A for kernel number per spike in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  8. Article
  9. Article
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Nicole PretiniCentro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires (CITNOBA, CONICET-UNNOBA-UNSADA), Monteagudo 2772 CP 2700, Pergamino, Buenos Aires, Argentina. pretini.nicole@inta.gob.ar.ORCID http://orcid.org/0000-0001-9938-1445
Leonardo S VanzettiInstituto Nacional de Tecnología Agropecuaria (INTA), EEA INTA Marcos Juárez. Ruta 12 s/n CP 2850, Marcos Juárez, Córdoba, Argentina.
Ignacio I TerrileInstituto Nacional de Tecnología Agropecuaria (INTA), EEA INTA Pergamino. Ruta 32, km 4,5 CP 2700, Pergamino, Buenos Aires, Argentina.
Guillermo DonaireInstituto Nacional de Tecnología Agropecuaria (INTA), EEA INTA Marcos Juárez. Ruta 12 s/n CP 2850, Marcos Juárez, Córdoba, Argentina.
Fernanda G GonzálezCentro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires (CITNOBA, CONICET-UNNOBA-UNSADA), Monteagudo 2772 CP 2700, Pergamino, Buenos Aires, Argentina.

Funding

Fondo para la Investigación Científica y Tecnológica PICT 2012-1198Fondo para la Investigación Científica y Tecnológica PICT 2014-1283FP7 Food, Agriculture and Fisheries, Biotechnology ADAPATWHEAT 289842Instituto Nacional de Tecnología Agropecuaria 2019-PE-E6-I114-001Instituto Nacional de Tecnología Agropecuaria 2019-PE-E6-I126-001Instituto Nacional de Tecnología Agropecuaria PNCYO 1127042
6 · The paper itself

Abstract

backgroundIn breeding programs, the selection of cultivars with the highest yield potential consisted in the selection of the yield per se, which resulted in cultivars with higher grains per spike (GN) and occasionally increased grain weight (GW) (main numerical components of the yield). In this study, quantitative trait loci (QTL) for GW, GN and spike fertility traits related to GN determination were mapped using two doubled haploid (DH) populations (Baguette Premium 11 × BioINTA 2002 and Baguette 19 × BioINTA 2002).

resultsIn total 305 QTL were identified for 14 traits, out of which 12 QTL were identified in more than three environments and explained more than 10% of the phenotypic variation in at least one environment. Eight hotspot regions were detected on chromosomes 1A, 2B, 3A, 5A, 5B, 7A and 7B in which at least two major and stable QTL sheared confidence intervals. QTL on two of these regions (R5A.1 and R5A.2) have previously been described, but the other six regions are novel.

conclusionsBased on the pleiotropic analysis within a robust physiological model we conclude that two hotspot genomic regions (R5A.1 and R5A.2) together with the QGW.perg-6B are of high relevance to be used in marker assisted selection in order to improve the spike yield potential. All the QTL identified for the spike related traits are the first step to search for their candidate genes, which will allow their better manipulation in the future.

Indexed as

Chromosomes, PlantHaploidyPhenotypePlant BreedingQuantitative Trait LociTriticumFertile floretsGrain numberGrain weightSpike lengthSpikelets per spike

Identifiers

PMID34311707
PMCPMC8314532

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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.