Evidence map›Paper›PMID 27913832›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2017

General and specific combining abilities in a maize (Zea mays L.) test-cross hybrid panel: relative importance of population structure and genetic divergence between parents.

A Larièpe, L Moreau, J Laborde, C Bauland, S Mezmouk, L Décousset, T Mary-Huard, J B Fiévet, A Gallais, P Dubreuil and 1 more

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Review
  10. Genomic prediction with a maize collaborative panel: identification of genetic resources to enrich elite breeding programs.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
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  17. Omics-based hybrid prediction in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017
    Article
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

11 authors.

A LarièpeUMR de Génétique Végétale, INRA-Univ-Paris-Sud-CNRS-AgroParisTech, Ferme du Moulon, 91190, Gif-Sur-Yvette, France.
L MoreauUMR de Génétique Végétale, INRA-Univ-Paris-Sud-CNRS-AgroParisTech, Ferme du Moulon, 91190, Gif-Sur-Yvette, France.
J LabordeINRA, UE 394-Unité expérimentale du maïs, 40590, St Martin De Hinx, France.
C BaulandUMR de Génétique Végétale, INRA-Univ-Paris-Sud-CNRS-AgroParisTech, Ferme du Moulon, 91190, Gif-Sur-Yvette, France.
S MezmoukBIOGEMMA, Genetics and Genomics in Cereals, 63720, Chappes, France.
L DécoussetBIOGEMMA, Genetics and Genomics in Cereals, 63720, Chappes, France.
T Mary-HuardUMR de Génétique Végétale, INRA-Univ-Paris-Sud-CNRS-AgroParisTech, Ferme du Moulon, 91190, Gif-Sur-Yvette, France.
J B FiévetUMR de Génétique Végétale, INRA-Univ-Paris-Sud-CNRS-AgroParisTech, Ferme du Moulon, 91190, Gif-Sur-Yvette, France.
A GallaisUMR de Génétique Végétale, INRA-Univ-Paris-Sud-CNRS-AgroParisTech, Ferme du Moulon, 91190, Gif-Sur-Yvette, France.
P DubreuilBIOGEMMA, Genetics and Genomics in Cereals, 63720, Chappes, France.
A CharcossetUMR de Génétique Végétale, INRA-Univ-Paris-Sud-CNRS-AgroParisTech, Ferme du Moulon, 91190, Gif-Sur-Yvette, France. charcos@moulon.inra.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageGeneral and specific combining abilities of maize hybrids between 288 inbred lines and three tester lines were highly related to population structure and genetic distance inferred from SNP data. Many studies have attempted to provide reliable and quick methods to identify promising parental lines and combinations in hybrid breeding programs. Since the 1950s, maize germplasm has been organized into heterotic groups to facilitate the exploitation of heterosis. Molecular markers have proven efficient tools to address the organization of genetic diversity and the relationship between lines or populations. The aim of the present work was to investigate to what extent marker-based evaluations of population structure and genetic distance may account for general (GCA) and specific (SCA) combining ability components in a population composed of 800 inter and intra-heterotic group hybrids obtained by crossing 288 inbred lines and three testers. Our results illustrate a strong effect of groups identified by population structure analysis on both GCA and SCA components. Including genetic distance between parental lines of hybrids in the model leads to a significant decrease of SCA variance component and an increase in GCA variance component for all the traits. The latter suggests that this approach can be efficient to better estimate the potential combining ability of inbred lines when crossed with unrelated lines, and limits the consequences of tester choice. Significant residual GCA and SCA variance components of models taking into account structure and/or genetic distance highlight the variation available for breeding programs within structure groups.

Indexed as

Genetic VariationHybridization, GeneticHybrid VigorPlant BreedingGenetics, PopulationModels, GeneticPhenotypePolymorphism, Single NucleotideZea mays

Identifiers

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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.