Evidence map›Paper›PMID 42803852›Full record

ArticleTropical animal health and production2026

Genomic evaluation of productive-life indicators associated with longevity in Girolando cattle under tropical dairy conditions.

Darlene Dos Santos Daltro, Elisandra Lurdes Kern, Jaime Araújo Cobuci, Renata Negri, Sabrina Kluska, Pamela Itajara Otto, Marco Antonio Machado, João Cláudio do Carmo Panetto, Marta Fonseca Martins, Edivaldo Ferreira Júnior and 2 more

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Article in Tropical animal health and production, 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

What it found

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Darlene Dos Santos DaltroBrazilian Association of Girolando Breeders, 74 Orlando Vieira do Nascimento St, Uberaba, MG, 38040-280, Brazil. darlenedaltro@gmail.com.ORCID http://orcid.org/0000-0003-2278-8129
Elisandra Lurdes KernDepartment of Genetics, Institute of Biological and Health Sciences (ICBS), Federal Rural University of Rio de Janeiro (UFRRJ), Seropédica, RJ, Brazil.
Jaime Araújo CobuciFederal University of Rio Grande do Sul, 110 Paulo Gama Ave., Porto Alegre, RS, 90040-060, Brazil.
Renata NegriCollege of Engineering, São Paulo State University (UNESP), 56 Brasil Ave., Ilha Solteira, Brazil.
Sabrina KluskaBrazilian Association of Girolando Breeders, 74 Orlando Vieira do Nascimento St, Uberaba, MG, 38040-280, Brazil.
Pamela Itajara OttoFederal University of Santa Maria - Av. Roraima, 1000 - University City, Santa Maria, RS, 97105-900, Brazil.
Marco Antonio MachadoEmbrapa Dairy Cattle Research Center, 610 Eugênio do Nascimento St., Dom Bosco, Juiz de Fora, MG, 36038-330, Brazil.
João Cláudio do Carmo PanettoEmbrapa Dairy Cattle Research Center, 610 Eugênio do Nascimento St., Dom Bosco, Juiz de Fora, MG, 36038-330, Brazil.
Marta Fonseca MartinsEmbrapa Dairy Cattle Research Center, 610 Eugênio do Nascimento St., Dom Bosco, Juiz de Fora, MG, 36038-330, Brazil.
Edivaldo Ferreira JúniorBrazilian Association of Girolando Breeders, 74 Orlando Vieira do Nascimento St, Uberaba, MG, 38040-280, Brazil.
Fabrício PilonettoBrazilian Association of Girolando Breeders, 74 Orlando Vieira do Nascimento St, Uberaba, MG, 38040-280, Brazil.
Marcos Vinicius Gualberto Barbosa da SilvaEmbrapa Dairy Cattle Research Center, 610 Eugênio do Nascimento St., Dom Bosco, Juiz de Fora, MG, 36038-330, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to estimate (co)variance components, heritability, and genetic associations among productive-life indicators related to longevity, productive traits, and fertility traits in Girolando cattle and to explore associated genomic regions. Four productive-life indicators were evaluated: total milk production across all lactations (L1), number of lactations initiated (L2), total days in milk across all lactations (L3), and number of complete lactations (L4). Productive traits comprised 305-d milk yield (MY305) and lactation length (LL), whereas fertility traits comprised age at first calving (AFC), calving interval (CI), and days open (DO). Variance components were estimated under linear animal models using the single-step genomic relationship matrix, using AIREMLF90 from the BLUPF90 suite. Heritability estimates ranged from 0.06 to 0.31 for productive-life indicators, 0.06 to 0.14 for productive traits, and 0.03 to 0.06 for fertility traits. Genetic correlations of productive-life indicators ranged from 0.02 to 0.31 with productive traits and from - 0.03 to 0.13 with fertility traits, indicating stronger associations with productive traits. An exploratory single-step genome-wide association study identified candidate regions for L1 and L3, whereas no SNP met the adopted significance criteria for L4. Because culling and death dates were unavailable, L1, L3, and L4 represent proxies of productive life rather than direct measures of functional longevity; consequently, related inferences remain preliminary. Overall, environmental and management effects substantially influence these indicators. Selection for improved productive life may therefore benefit from indexes combining productive-life indicators with routinely recorded productive and fertility traits.

Indexed as

FertilityLactationLongevityAnimalsCattleDairyingFemaleGenome-Wide Association StudyMilkTropical ClimateAge at first calvingGenetic progressHeritabilityMilk yieldProductive life

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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.