Evidence mapPaperPMID 41139770Full record

ArticleJournal of applied genetics2026

Effect of selection for growth on reproductive traits in Nellore females: Genetic parameters and genome-wide association studies.

Isabela Meirelles Cardoso Garcia, Viviane Andrade Ligori, Jessica Moraes Malheiros, Gustavo Roberto Dias Rodrigues, Pablo Dominguez-Castaño, Josineudson Augusto Ii Vasconcelos Silva, Fábio Morato Monteiro, Joslaine Noely Dos Santos Gonçalves Cyrillo, Maria Eugênia Zerlotti Mercadante

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Article in Journal of applied genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Isabela Meirelles Cardoso GarciaInstitute of Animal Science (IZ), Beef Cattle Research Center, Sertãozinho, SP, 14174-000, Brazil.
Viviane Andrade LigoriInstitute of Animal Science (IZ), Beef Cattle Research Center, Sertãozinho, SP, 14174-000, Brazil.
Jessica Moraes MalheirosInstitute of Animal Science (IZ), Beef Cattle Research Center, Sertãozinho, SP, 14174-000, Brazil.
Gustavo Roberto Dias RodriguesInstitute of Animal Science (IZ), Beef Cattle Research Center, Sertãozinho, SP, 14174-000, Brazil.
Pablo Dominguez-CastañoDepartment of Animal Sciences, Swedish University of Agricultural Sciences (SLU), Uppsala, 75007, Sweden.
Josineudson Augusto Ii Vasconcelos SilvaFaculty of Veterinary Medicine and Animal Science, São Paulo State University (UNESP), Botucatu, SP, 18618-000, Brazil.
Fábio Morato MonteiroInstitute of Animal Science (IZ), Beef Cattle Research Center, Sertãozinho, SP, 14174-000, Brazil.
Joslaine Noely Dos Santos Gonçalves CyrilloInstitute of Animal Science (IZ), Beef Cattle Research Center, Sertãozinho, SP, 14174-000, Brazil.
Maria Eugênia Zerlotti MercadanteInstitute of Animal Science (IZ), Beef Cattle Research Center, Sertãozinho, SP, 14174-000, Brazil. maria.mercadante@sp.gov.br.ORCID http://orcid.org/0000-0002-1218-5378

Funding

Coordination for the Improvement of Higher Education Personnel (CAPES) Finance Code 001National Council for Scientific and Technological Development (CNPq) 303031/2021-2National Council for Scientific and Technological Development (CNPq) 434681/2018-0São Paulo Research Foundation (FAPESP) 2017/50339-5São Paulo Research Foundation (FAPESP) 2022/12669-1 and 2024/16070-2São Paulo Research Foundation (FAPESP) 2023/11176-4
6 · The paper itself

Abstract

This study aimed to evaluate the effects of selection for post-weaning weight on reproductive traits in Nellore cattle by (i) estimating genetic parameters and trends for birth weight (BIW), body weight at selection (BW), days to calving (DC), and pregnancy rate (PR); and (ii) performing a genome-wide association study (GWAS), gene annotation, and functional enrichment analyses to uncover genomic regions, candidate genes, biological processes, and metabolic pathways underlying DC and PR. The dataset contained 12,865 Nellore animals from the experimental breeding program of the Institute of Animal Science (IZ, Sertãozinho, Brazil), including three selection lines: Nellore Control (NeC, stablishing selection for post-weaning weight), Nellore Selection (NeS, selected for higher post-weaning weight), and Nellore Traditional (NeT, selected for higher post-weaning weight and lower residual feed intake). Genomic data were available for 2,326 animals and 384,521 autosomal SNP markers after quality control. Genetic parameters were estimated using Bayesian inference under the ssGBLUP framework. Genetic trends from 1981 to 2021 were derived from linear regressions considering genomic estimated breeding values (GEBVs). The weighted single-step GWAS (WssGWAS) was used to identify genomic regions that explained more than 1.0% of the additive genetic variance for DC and PR, which were further analyzed for gene annotation and functional enrichment. Heritability estimates were high for BIW (0.46 ± 0.02) and BW (0.41 ± 0.02), and low for DC and PR (0.10 ± 0.02 for both). Moderate genetic correlations were observed between BIW and DC, especially in lines selected for higher growth (NeS: 0.38 ± 0.12; NeT: 0.56 ± 0.09), in contrast, BW showed weak genetic correlations with reproductive traits, with estimates for DC of - 0.11 ± 0.18 (NeC), 0.15 ± 0.15 (NeS), and 0.36 ± 0.14 (NeT), and for PR of 0.25 ± 0.22 (NeC), - 0.12 ± 0.17 (NeS), and - 0.44 ± 0.16 (NeT). Genetic trends indicated consistent increases in BW and BIW in NeS and NeT, while NeC showed more favorable trends for DC and PR. The GWAS identified 13 and 9 genomic windows associated with DC and PR, respectively, with pleiotropic regions on chromosome 14 influencing both traits. Key candidate genes annotated included PLAG1, MOS, MAPK13, MAPK14, and FKBP5. Functional enrichment revealed biological processes related to hormone metabolism, immune modulation, and oocyte development. Selection for increased growth does not directly impair reproductive traits; however, it indirectly influences fertility due to correlated response in BIW, which is genetically associated with DC.

Indexed as

Genome-Wide Association StudyReproductionSelection, GeneticAnimalsBayes TheoremBirth WeightBody WeightBrazilBreedingCattleFemalePhenotypePolymorphism, Single NucleotidePregnancyPregnancy RateQuantitative Trait, HeritableBeef cattleBirth weightDays to calvingPost-weaning weightPregnancy rate

Identifiers

PMID41139770

What Socratic holds

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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 Socratic graph.