ArticleGenetics, selection, evolution : GSE2026
National genomic evaluation for a novel functional longevity trait.
Article in Genetics, selection, evolution : GSE, 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
Abstract
backgroundCow longevity plays a major role in beef cattle industry profitability, reflecting the female's ability to remain productive in the herd. In this context, longitudinal models as random regression models (RRM) are the preferred method for genetic evaluation as they account for genetic and environmental effects over time. Traditionally, RRM longevity evaluations use binary phenotypes; however, redefining the phenotype as the number of calves could enhance variability, better identify cows with consistent reproductive performance, and penalize irregular calving patterns. To address these limitations, this study aimed to: (1) propose genomic evaluations for a novel functional longevity (FL) definition via RRM; (2) compare model fit using Legendre polynomials (LP) of varying orders; (3) evaluate the implication of FL genetic parameters for selection strategies.
resultsThe dataset included records from 2 million Angus cows and 1.6 million genotyped animals from the American and Canadian Angus Associations. FL was defined as the cumulative number of calvings, measured annually from 2 to 10 years of age. Genetic parameters were estimated with Gibbs sampling without genomic information, and genomic breeding values (GEBV) were estimated using RRM under single-step GBLUP with LP. Models were compared via the deviance information criterion and sire GEBV rankings across ages were evaluated using Spearman correlations and percentage of individuals in common (top 1%). The best fit was with a third-order LP and homogeneous residual variance. Heritabilities ranged from 0.04 to 0.12. Genetic correlations between ages were positive and high, with minimal fluctuations. GEBV rank correlations were consistent across ages, with Spearman correlations following the genetic correlations pattern. The percentage of commonly selected individuals between adjacent years was high. However, percentage decreased with increasing age gap, reaching 53% between ages 3 and 10.
conclusionsThe new functional longevity definition is feasible for genomic evaluations and has a straightforward interpretation as breeding values represent the number of additional calves when comparing animals. FL heritability estimates indicate sufficient additive genetic variance to allow moderate response to selection. Based on genetic correlations and ranking comparisons, functional longevity at 6 years of age is the optimal age to maximize genetic progress in Angus cattle.
Indexed as
Identifiers
What Socratic 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 Socratic graph.