Evidence map›Paper›PMID 41981458›Full record

ArticleBMC genomics2026

Genomic insights into female productivity in limousine cattle: a single-step genome-wide association on longevity, fertility, and conformation traits.

Simone Callegaro, Christian Maltecca, Francesco Tiezzi, Maria Chiara Fabbri, Riccardo Bozzi

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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.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Simone CallegaroDepartment of Agriculture, Food, Environment, and Forestry (DAGRI), University of Florence, Florence, 50144, Italy. simone.callegaro@unifi.it.
Christian MalteccaDepartment of Agriculture, Food, Environment, and Forestry (DAGRI), University of Florence, Florence, 50144, Italy.
Francesco TiezziDepartment of Agriculture, Food, Environment, and Forestry (DAGRI), University of Florence, Florence, 50144, Italy.
Maria Chiara FabbriDepartment of Agriculture, Food, Environment, and Forestry (DAGRI), University of Florence, Florence, 50144, Italy.
Riccardo BozziDepartment of Agriculture, Food, Environment, and Forestry (DAGRI), University of Florence, Florence, 50144, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImproving female efficiency and resilience is a priority for beef cattle systems, where reproductive failure and early culling significantly affect sustainability and profitability. Longevity, fertility, and conformation traits provide complementary indicators of female performance, but their complex genetic architecture has limited progress in selection. This study aimed to investigate the genetic basis of these traits in the Italian Limousine population using a single-step genome-wide association approach, which integrates pedigree, phenotypic, and genomic information.

resultsThe final dataset included 38,188 cows for longevity, 38,188 for fertility traits (age at first calving and first calving interval), and 32,316 for conformation traits, with 2,489 genotyped females included in the analyses. Heritability estimates were moderate for conformation (0.19–0.23) and for longevity at early parities (up to 0.21), lower for later parities (0.10–0.14), and low to moderate for fertility (0.18 for age at first calving, 0.14 for first calving interval). The single-step genome-wide association identified several genomic regions explaining more than 1% of the additive genetic variance, a subset of which was validated by a bootstrapping test. Key candidate genes overlapping across traits included KHDRBS2 (longevity and conformation), CPEB4 (longevity, fertility, and conformation), TOX (longevity, age at first calving, and conformation), and the LAP3–NCAPG–LCORL cluster (longevity and fertility). Functional annotation of overlapping quantitative trait loci highlighted pathways related to reproduction, health, and carcass quality, supporting pleiotropic effects across traits.

conclusionsThis study provides new insights into the genetic architecture of longevity, fertility, and conformation in Limousine cattle. The identification of pleiotropic loci and shared genomic regions supports the development of multi-trait genomic selection strategies. Targeting early indicators such as age at first calving, longevity at early parities, and conformation could accelerate genetic progress, reduce replacement costs, and enhance the sustainability, resilience, and profitability of beef production systems.

Indexed as

FertilityGenome-Wide Association StudyGenomicsLongevityAnimalsCattleFemaleGenotypePhenotypePolymorphism, Single NucleotideQuantitative Trait LociBeef cattleConformationFertilityGenome-wide association studyLongevityPleiotropy

Identifiers

PMID41981458
PMCPMC13185250

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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.