Evidence map›Paper›PMID 39684865›Full record

ArticleInternational journal of molecular sciences2024

Genomic Prediction of Semen Traits in Boars Incorporating Biological Interactions.

Yantong Chen, Fang Yang, Yanda Yang, Yulong Hu, Yang Meng, Yuebo Zhang, Maoliang Ran, Jun He, Yulong Yin, Ning Gao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2024. 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

10 authors.

Yantong ChenKey Laboratory of Livestock and Poultry Resources (Pig) Evaluation and Utilization, Ministry of Agriculture and Rural Affair, Yuelushan Laboratory, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Fang YangKey Laboratory of Livestock and Poultry Resources (Pig) Evaluation and Utilization, Ministry of Agriculture and Rural Affair, Yuelushan Laboratory, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Yanda YangKey Laboratory of Livestock and Poultry Resources (Pig) Evaluation and Utilization, Ministry of Agriculture and Rural Affair, Yuelushan Laboratory, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Yulong HuKey Laboratory of Livestock and Poultry Resources (Pig) Evaluation and Utilization, Ministry of Agriculture and Rural Affair, Yuelushan Laboratory, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Yang MengKey Laboratory of Livestock and Poultry Resources (Pig) Evaluation and Utilization, Ministry of Agriculture and Rural Affair, Yuelushan Laboratory, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Yuebo ZhangKey Laboratory of Livestock and Poultry Resources (Pig) Evaluation and Utilization, Ministry of Agriculture and Rural Affair, Yuelushan Laboratory, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Maoliang RanKey Laboratory of Livestock and Poultry Resources (Pig) Evaluation and Utilization, Ministry of Agriculture and Rural Affair, Yuelushan Laboratory, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Jun HeKey Laboratory of Livestock and Poultry Resources (Pig) Evaluation and Utilization, Ministry of Agriculture and Rural Affair, Yuelushan Laboratory, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Yulong YinInstitute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China.
Ning GaoKey Laboratory of Livestock and Poultry Resources (Pig) Evaluation and Utilization, Ministry of Agriculture and Rural Affair, Yuelushan Laboratory, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.

Funding

National Natural Science Foundation of China 32372855Natural Science Foundation of Guangdong Province General Program 2021A1515010770Science and Technology Program of Hunan Province 2024RC3181Scientific Research Fund of Hunan Provincial Education Department 22B0219
6 · The paper itself

Abstract

In the context of modern pig farming, the central role of boars is underscored by large-scale centralized breeding and the widespread application of artificial insemination techniques. However, previous studies and breeding programs have focused mainly on product efficiency traits, such as growth rate, lean meat yield, and litter size, often neglecting boar semen traits. In this study, we estimated the genetic parameters and assessed the genomic prediction accuracy of boar semen traits with phenotypes evaluated from 274,332 ejections in a large population consisting of 2467 Duroc boars. Heritability of sperm morphological abnormality rate (ABN), fresh semen volume (VOL), sperm concentration (DEN), and motility (MOT) were estimated to be 0.43, 0.22, 0.23, and 0.16, respectively. GBLUP achieved a moderate predictive ability of semen traits, with a range of 0.32-0.50. Incorporating gene interactions indicated by the KEGG pathways (biBLUP) significantly improved predictive accuracy over the classical additive model (GBLUP) and epistatic model (RKHS). Moreover, biBLUP showed an improvement from 9.50% to 20.10% among the studied traits compared with GBLUP, with the greatest improvement (0.40 vs. 0.48) observed in sperm morphological abnormality rate. In conclusion, moderate to low heritability was estimated for the Duroc boar semen traits. Genomic prediction was able to achieve moderate accuracy, with a range from 0.32 to 0.56, for the studied traits. Considering gene interactions within KEGG pathways enhanced the predictive ability of boar semen traits.

Indexed as

GenomicsSemenAnimalsBreedingMaleModels, GeneticPhenotypeQuantitative Trait, HeritableSemen AnalysisSpermatozoaSperm MotilitySwineboarsgenomic predictionKEGG pathwaysnon-additive effectssemen traits

Identifiers

PMID39684865
PMCPMC11642674

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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.