ArticleAnimals : an open access journal from MDPI2023
Genotype by Prenatal Environment Interaction for Postnatal Growth of Nelore Beef Cattle Raised under Tropical Grazing Conditions.
Article in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Genotype-By-Environment Interaction for Scrotal Circumference in Young Nellore Bulls Under Pasture and Feedlot Conditions and Its Correlation With Days to Calving.Animal genetics · 2026Article
- Genomic prediction via reaction norm models for pregnancy loss using temperature humidity index in brahman cattle.Translational animal science · 2026Article
- Single-variant genome-wide association study and regional heritability mapping of protein efficiency and performance traits in Large White pigs.Genetics, selection, evolution : GSE · 2025Article
- Differential gene expression in neonatal calf muscle tissues from Hanwoo cows overfed during mid to late pregnancy period.Scientific reports · 2024Article
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Authors and funding
10 authors.
Funding
Abstract
The prenatal environment is recognized as crucial for the postnatal performance in cattle. In tropical regions, pregnant beef cows commonly experience nutritional restriction during the second half of the gestation period. Thus, the present study was designed to analyze the genotype by prenatal environment interaction (G × Epn) and to identify genomic regions associated with the level and response in growth and reproduction-related traits of beef cattle to changes in the prenatal environment. A reaction norm model was applied to data from two Nelore herds using the solutions of contemporary groups for birth weight as a descriptor variable of the gestational environment quality. A better gestational environment favored weights until weaning, scrotal circumference at yearling, and days to first calving of the offspring. The G × Epn was strong enough to result in heterogeneity of variance components and genetic parameters in addition to reranking of estimated breeding values and SNPs effects. Several genomic regions associated with the level of performance and specific responses of the animals to variations in the gestational environment were revealed, which harbor QTLs and can be exploited for selection purposes. Therefore, genetic evaluation models considering G × Epn and special management and nutrition care for pregnant cows are recommended.
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