ReviewAnimals : an open access journal from MDPI2022
Sustainable Intensification of Beef Production in the Tropics: The Role of Genetically Improving Sexual Precocity of Heifers.
Review in Animals : an open access journal from MDPI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
The trial behind it
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Who cites it
9 citing papers in PubMed, 26 citations in OpenAlex.
- Multi-trait GWAS of reaction norm parameters reveals environment-responsive loci influencing reproductive performance in heifers.Journal of animal science and biotechnology · 2026Article
- Pregnancy prediction in Nelore heifers using machine learning algorithms.Tropical animal health and production · 2026Article
- Stayability in the Era of Early-Challenged Females: Genetic Parameters and Correlations With Economically Relevant Traits.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026Article
- Genetic Parameters of Age at Conception in Nellore Females Using Threshold Models.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026Article
- Article
- Innovations in Cattle Breeding Technology: Prospects in the Era of Gene Editing.Animals : an open access journal from MDPI · 2025Review
- Kinematic and Morphometric Assessment of Fresh Semen, before, during and after Mating Period in Brahman Bulls.Animals : an open access journal from MDPI · 2023Article
- Genetic and phenotypic parameters for sexual precocity and parasite resistance traits in Nellore cattle.Journal of applied genetics · 2023Article
- Identification of candidate lethal haplotypes and genomic association with post-natal mortality and reproductive traits in Nellore cattle.Scientific reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
Abstract
Increasing productivity through continued animal genetic improvement is a crucial part of implementing sustainable livestock intensification programs. In Zebu cattle, the lack of sexual precocity is one of the main obstacles to improving beef production efficiency. Puberty-related traits are complex, but large-scale data sets from different "omics" have provided information on specific genes and biological processes with major effects on the expression of such traits, which can greatly increase animal genetic evaluation. In addition, genetic parameter estimates and genomic predictions involving sexual precocity indicator traits and productive, reproductive, and feed-efficiency related traits highlighted the feasibility and importance of direct selection for anticipating heifer reproductive life. Indeed, the case study of selection for sexual precocity in Nellore breeding programs presented here show that, in 12 years of selection for female early precocity and improved management practices, the phenotypic means of age at first calving showed a strong decreasing trend, changing from nearly 34 to less than 28 months, with a genetic trend of almost -2 days/year. In this period, the percentage of early pregnancy in the herds changed from around 10% to more than 60%, showing that the genetic improvement of heifer's sexual precocity allows optimizing the productive cycle by reducing the number of unproductive animals in the herd. It has a direct impact on sustainability by better use of resources. Genomic selection breeding programs accounting for genotype by environment interaction represent promising tools for accelerating genetic progress for sexual precocity in tropical beef cattle.
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Registered trials
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.