Evidence map›Paper›PMID 32183253›Full record

ArticleGenes2020

Integrating Casein Complex SNPs Additive, Dominance and Epistatic Effects on Genetic Parameters and Breeding Values Estimation for Murciano-Granadina Goat Milk Yield and Components.

María Gabriela Pizarro Inostroza, Vincenzo Landi, Francisco Javier Navas González, Jose Manuel León Jurado, Juan Vicente Delgado Bermejo, Javier Fernández Álvarez, María Del Amparo Martínez Martínez

Abstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Genome-wide study for signatures of selection identifies genomic regions and candidate genes associated with milk traits in sheep.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
  4. Article
  5. Whole-Genome Resequencing Analysis of theInternational journal of molecular sciences · 2024
    Article
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  7. Article
  8. Review
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  10. Article
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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

7 authors.

María Gabriela Pizarro InostrozaDepartment of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14071 Córdoba, Spain.
Vincenzo LandiDepartment of Veterinary Medicine, University of Bari "Aldo Moro", 70010 Valenzano, Italy.ORCID 0000-0003-1385-8439
Francisco Javier Navas GonzálezDepartment of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14071 Córdoba, Spain.ORCID 0000-0002-0093-5151
Jose Manuel León JuradoCentro Agropecuario Provincial de Córdoba, Diputación Provincial de Córdoba, Córdoba, 14071 Córdoba, Spain.ORCID 0000-0001-8969-574X
Juan Vicente Delgado BermejoDepartment of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14071 Córdoba, Spain.
Javier Fernández ÁlvarezNational Association of Breeders of Murciano-Granadina Goat Breed, Fuente Vaqueros, 18340 Granada, Spain.
María Del Amparo Martínez MartínezDepartment of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14071 Córdoba, Spain.ORCID 0000-0002-6944-0501

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing dominance and additive effects of casein complex single-nucleotide polymorphisms (SNPs) (αS1, αS2, β, and κ casein), and their epistatic relationships may maximize our knowledge on the genetic regulation of profitable traits. Contextually, new genomic selection perspectives may translate this higher efficiency into higher accuracies for milk yield and components' genetic parameters and breeding values. A total of 2594 lactation records were collected from 159 Murciano-Granadina goats (2005-2018), genotyped for 48 casein loci-located SNPs. Bonferroni-corrected nonparametric tests, categorical principal component analysis (CATPCA), and nonlinear canonical correlations were performed to quantify additive, dominance, and interSNP epistatic effects and evaluate the outcomes of their inclusion in quantitative and qualitative milk production traits' genetic models (yield, protein, fat, solids, and lactose contents and somatic cells count). Milk yield, lactose, and somatic cell count heritabilities increased considerably when the model including genetic effects was considered (0.46, 0.30, 0.43, respectively). Components standard prediction errors decreased, and accuracies and reliabilities increased when genetic effects were considered. Conclusively, including genetic effects and relationships among these heritable biomarkers may improve model efficiency, genetic parameters, and breeding values for milk yield and composition, optimizing selection practices profitability for components whose technological application may be especially relevant for the cheese-making dairy sector.

Indexed as

Epistasis, GeneticAnimalsBreedingCaseinsGenomeGenomicsGoatsLactationLactoseMilkMilk ProteinsPolymorphism, Single NucleotideCaseinsLactoseMilk Proteinsassociationcasein complexCATPCAKruskal–Wallislinkage disequilibriumMTDFREMLOVERALSrestricted maximum likelihood

Identifiers

PMID32183253
PMCPMC7140789

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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.