Evidence map›Paper›PMID 42283924›Full record

ArticleTropical animal health and production2026

Influence of herd and environmental factors and phenotypic trends in productive and reproductive traits in dairy farms in Argentina.

M J Beribe, H A Carignano, M Piccardi, G Tuñon, M Bertossi, M Weber, D Pipino, C Sola, P R Marini, N López-Villalobos

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

M J BeribeInstituto Nacional de Tecnología Agropecuaria (INTA), Estación Experimental Agropecuaria Pergamino (EEA Pergamino), Pergamino, Argentina.
H A CarignanoUniversidad Nacional de Rosario (UNR), Facultad de Ciencias Bioquímicas y Farmacéuticas (FBIOyF), Rosario, Argentina.
M PiccardiUniversidad Nacional de Rosario (UNR), Programa Internacional de Investigación Lechera (PIdIL), Rosario, Argentina.
G TuñonUniversidad Nacional de Rosario (UNR), Programa Internacional de Investigación Lechera (PIdIL), Rosario, Argentina.
M BertossiUniversidad Nacional de Rosario (UNR), Programa Internacional de Investigación Lechera (PIdIL), Rosario, Argentina.
M WeberUniversidad Nacional de Rosario (UNR), Programa Internacional de Investigación Lechera (PIdIL), Rosario, Argentina.
D PipinoUniversidad Nacional de Rosario (UNR), Programa Internacional de Investigación Lechera (PIdIL), Rosario, Argentina.
C SolaUniversidad Nacional de Rosario (UNR), Programa Internacional de Investigación Lechera (PIdIL), Rosario, Argentina.
P R MariniUniversidad Nacional de Rosario (UNR), Programa Internacional de Investigación Lechera (PIdIL), Rosario, Argentina.
N López-VillalobosUniversidad Nacional de Rosario (UNR), Programa Internacional de Investigación Lechera (PIdIL), Rosario, Argentina. N.Lopez-Villalobos@massey.ac.nz.ORCID http://orcid.org/0000-0001-6611-907X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Argentina hosts a wide range of dairy production systems, from pasture-based to confined models. Despite this diversity, genetic improvement has relied almost exclusively on imported semen from high-merit Holstein bulls. Unregistered Holstein populations managed under pasture-based systems account for a substantial share of national milk production, yet their productive and reproductive performance remains poorly documented. To address this gap, this study evaluated the effects of herd and environmental factors on production and fertility traits and assessed recent phenotypic trends in pasture-based dairy herds. The dataset comprised 46,588 lactations from 19,936 cows across 16 commercial herds recorded between 2010 and 2023. Traits analyzed included 305-day milk, fat and protein yields, calving-to-first-service interval, days open and calving-to-calving interval. Herd, lactation number, calving month and calving year significantly affected all traits (p ≤ 0.0001). Peak milk yield occurred between the third and fifth lactations, while reproductive performance declined with increasing parity. Cows calving in autumn-winter (May-August) showed superior production and fertility, coinciding with months exhibiting fewer number of days with temperature-humidity index values above the heat-stress threshold. Variance component analysis indicated that cow effects explained 16-19% of the variance in production traits and 8-11% in fertility traits. Phenotypic overall trends suggested stabilization in milk yield and limited progress in fertility, although more favourable trends were observed during 2020-2023. While these recent improvements may reflect changes in herd-level conditions over time, potential genetic contributions cannot be ruled out. In pasture-based systems, the expression of imported high-merit genetics may differ across environmental conditions, underscoring the potential value of breeding programs adapted to local production conditions.

Indexed as

DairyingFertilityLactationMilkReproductionAnimalsArgentinaCattleEnvironmentFemalePhenotypeSeasonsArgentine pasture-based systemsEnvironmental effectsFertility traitsMilk yield

Identifiers

PMID42283924
PMCPMC13263298

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.