ArticleBMC genomics2026
A comprehensive genomic characterization of Nellore cattle.
Article in BMC genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIndicine cattle (Bos taurus indicus) are found primarily in tropical and subtropical regions, with Brazil hosting one of the largest Zebu cattle populations in the world. Understanding the genetic makeup of Nellore cattle is crucial for enhancing genomic predictions, performing association studies, and maintaining genetic diversity. This study aims to characterize Brazilian Nellore cattle via genomic information. Linkage disequilibrium, effective population size (Ne), and runs of homozygosity (ROH) were used to characterize the population. The generation proxy selection method (GPSM) was used to detect alleles with changing frequencies over time.
resultsThe average linkage disequilibrium across all chromosomes was 0.28, and the Ne was 225 in the most recent generation. Only one ROH island, which is related mainly to carcass quality and fertility traits, was identified in this study. In total, the GPSM method identified 77 significant SNPs and 142 quantitative trait loci (QTLs). These regions are associated with tick resistance, carcass and growth traits, maternal ability, and reproduction.
conclusionsThe level of linkage disequilibrium estimated in the Nellore population supports the successful implementation of genomic selection in the Nellore breed. Moreover, the Ne estimated via genomic information was found to be large enough to maintain desirable levels of genetic diversity within the breed. Most ROHs identified in this study were created in more ancient generations. Moreover, significant SNPs identified via the GPSM method confirmed that genetic selection was effective in Nellore cattle, and genomic changes were observed.
Indexed as
Identifiers
What OpenQuestion holds
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.