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

Autores
Beribe, Maria Jose; Carignano, Hugo Adrian; Piccardi, Mónica Belén; Tuñon, Gonzalo; Bertossi, Matias; Weber, Marcelo; Pipino, Diego; Sola, Carlos; Marini, Pablo R.; López Villalobos, Nicolás
Año de publicación
2026
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
EEA Pergamino
Fil: Beribe, María José. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Sección Estadística; Argentina
Fil: Beribe, María José. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; Argentina
Fil: Carignano, Hugo Adrián. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas; Argentina
Fil: Carignano, Hugo Adrián. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; Argentina
Fil: Carignano, Hugo Adrián. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Virología e Innovaciones Tecnológicas; Argentina
Fil: Carignano, Hugo Adrián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Carignano, Hugo Adrián. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentina
Fil: Piccardi, M. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; Argentina
Fil: Piccardi, M. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Piccardi, M. Universidad Nacional de Río Cuarto; Argentina
Fil: Tuñon, G. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; Argentina
Fil: Tuñon, G. Universidad Nacional del Chaco Austral. Facultad de Ciencias Veterinarias; Argentina
Fil: Bertossi, M. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; Argentina
Fil: Bertossi, M. SW Agropecuaria. San Carlos; Argentina
Fil: Weber, M. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; Argentina
Fil: Weber, M. SW Agropecuaria. San Carlos; Argentina
Fil: Pipino, D. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; Argentina
Fil: Pipino, D. Establecimiento “El Campito”; Argentina
Fil: Sola, C. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; Argentina
Fil: Sola, C. SW Agropecuaria. San Carlos; Argentina
Fil: Marini, P. R. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; Argentina
Fil: Marini, P. R. Universidad Nacional de Rosario (UNR). Facultad de Ciencias Veterinarias; Argentina
Fil: López-Villalobos, N. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; Argentina
Fil: López-Villalobos, N. Massey University. School of Agriculture and Environment; Nueva Zelanda
Fuente
Tropical Animal Health and Production 58 : 333 (june 2026)
Materia
Leche
Producción Lechera
Sistemas de Pastoreo
Factores Ambientales
Milk
Milk Production
Grazing Systems
Environmental Factors
Dairy Farms
Dairy Cattle
Granjas Lecheras
Argentina
Ganado de Leche
Fertility Traits
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/26689
Acceder
id INTADig_ef94d2656a5165879894680bc05988fc
oai_identifier_str oai:localhost:20.500.12123/26689
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling Influence of herd and environmental factors and phenotypic trends in productive and reproductive traits in dairy farms in ArgentinaBeribe, Maria JoseCarignano, Hugo AdrianPiccardi, Mónica BelénTuñon, GonzaloBertossi, MatiasWeber, MarceloPipino, DiegoSola, CarlosMarini, Pablo R.López Villalobos, NicolásLecheProducción LecheraSistemas de PastoreoFactores AmbientalesMilkMilk ProductionGrazing SystemsEnvironmental FactorsDairy FarmsDairy CattleGranjas LecherasArgentinaGanado de LecheFertility TraitsArgentina 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.EEA PergaminoFil: Beribe, María José. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Sección Estadística; ArgentinaFil: Beribe, María José. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; ArgentinaFil: Carignano, Hugo Adrián. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas; ArgentinaFil: Carignano, Hugo Adrián. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; ArgentinaFil: Carignano, Hugo Adrián. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Virología e Innovaciones Tecnológicas; ArgentinaFil: Carignano, Hugo Adrián. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Carignano, Hugo Adrián. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; ArgentinaFil: Piccardi, M. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; ArgentinaFil: Piccardi, M. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Piccardi, M. Universidad Nacional de Río Cuarto; ArgentinaFil: Tuñon, G. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; ArgentinaFil: Tuñon, G. Universidad Nacional del Chaco Austral. Facultad de Ciencias Veterinarias; ArgentinaFil: Bertossi, M. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; ArgentinaFil: Bertossi, M. SW Agropecuaria. San Carlos; ArgentinaFil: Weber, M. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; ArgentinaFil: Weber, M. SW Agropecuaria. San Carlos; ArgentinaFil: Pipino, D. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; ArgentinaFil: Pipino, D. Establecimiento “El Campito”; ArgentinaFil: Sola, C. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; ArgentinaFil: Sola, C. SW Agropecuaria. San Carlos; ArgentinaFil: Marini, P. R. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; ArgentinaFil: Marini, P. R. Universidad Nacional de Rosario (UNR). Facultad de Ciencias Veterinarias; ArgentinaFil: López-Villalobos, N. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; ArgentinaFil: López-Villalobos, N. Massey University. School of Agriculture and Environment; Nueva ZelandaSpringer Nature2026-06-18T12:53:33Z2026-06-18T12:53:33Z2026-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/26689https://link.springer.com/article/10.1007/s11250-026-05135-10049-47471573-7438 (online)https://doi.org/10.1007/s11250-026-05135-1Tropical Animal Health and Production 58 : 333 (june 2026)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repograntAgreement/INTA/2023-PD-L01-I108, Mejora genética animal en la era de la genómica y la ganadería inteligente: adaptación y resilienciainfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2026-09-24T11:43:22Zoai:localhost:20.500.12123/26689instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2026-09-24 11:43:23.171INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Influence of herd and environmental factors and phenotypic trends in productive and reproductive traits in dairy farms in Argentina
title Influence of herd and environmental factors and phenotypic trends in productive and reproductive traits in dairy farms in Argentina
spellingShingle Influence of herd and environmental factors and phenotypic trends in productive and reproductive traits in dairy farms in Argentina
Beribe, Maria Jose
Leche
Producción Lechera
Sistemas de Pastoreo
Factores Ambientales
Milk
Milk Production
Grazing Systems
Environmental Factors
Dairy Farms
Dairy Cattle
Granjas Lecheras
Argentina
Ganado de Leche
Fertility Traits
title_short Influence of herd and environmental factors and phenotypic trends in productive and reproductive traits in dairy farms in Argentina
title_full Influence of herd and environmental factors and phenotypic trends in productive and reproductive traits in dairy farms in Argentina
title_fullStr Influence of herd and environmental factors and phenotypic trends in productive and reproductive traits in dairy farms in Argentina
title_full_unstemmed Influence of herd and environmental factors and phenotypic trends in productive and reproductive traits in dairy farms in Argentina
title_sort Influence of herd and environmental factors and phenotypic trends in productive and reproductive traits in dairy farms in Argentina
dc.creator.none.fl_str_mv Beribe, Maria Jose
Carignano, Hugo Adrian
Piccardi, Mónica Belén
Tuñon, Gonzalo
Bertossi, Matias
Weber, Marcelo
Pipino, Diego
Sola, Carlos
Marini, Pablo R.
López Villalobos, Nicolás
author Beribe, Maria Jose
author_facet Beribe, Maria Jose
Carignano, Hugo Adrian
Piccardi, Mónica Belén
Tuñon, Gonzalo
Bertossi, Matias
Weber, Marcelo
Pipino, Diego
Sola, Carlos
Marini, Pablo R.
López Villalobos, Nicolás
author_role author
author2 Carignano, Hugo Adrian
Piccardi, Mónica Belén
Tuñon, Gonzalo
Bertossi, Matias
Weber, Marcelo
Pipino, Diego
Sola, Carlos
Marini, Pablo R.
López Villalobos, Nicolás
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Leche
Producción Lechera
Sistemas de Pastoreo
Factores Ambientales
Milk
Milk Production
Grazing Systems
Environmental Factors
Dairy Farms
Dairy Cattle
Granjas Lecheras
Argentina
Ganado de Leche
Fertility Traits
topic Leche
Producción Lechera
Sistemas de Pastoreo
Factores Ambientales
Milk
Milk Production
Grazing Systems
Environmental Factors
Dairy Farms
Dairy Cattle
Granjas Lecheras
Argentina
Ganado de Leche
Fertility Traits
dc.description.none.fl_txt_mv 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.
EEA Pergamino
Fil: Beribe, María José. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Sección Estadística; Argentina
Fil: Beribe, María José. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; Argentina
Fil: Carignano, Hugo Adrián. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas; Argentina
Fil: Carignano, Hugo Adrián. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; Argentina
Fil: Carignano, Hugo Adrián. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Virología e Innovaciones Tecnológicas; Argentina
Fil: Carignano, Hugo Adrián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Carignano, Hugo Adrián. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentina
Fil: Piccardi, M. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; Argentina
Fil: Piccardi, M. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Piccardi, M. Universidad Nacional de Río Cuarto; Argentina
Fil: Tuñon, G. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; Argentina
Fil: Tuñon, G. Universidad Nacional del Chaco Austral. Facultad de Ciencias Veterinarias; Argentina
Fil: Bertossi, M. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; Argentina
Fil: Bertossi, M. SW Agropecuaria. San Carlos; Argentina
Fil: Weber, M. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; Argentina
Fil: Weber, M. SW Agropecuaria. San Carlos; Argentina
Fil: Pipino, D. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; Argentina
Fil: Pipino, D. Establecimiento “El Campito”; Argentina
Fil: Sola, C. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; Argentina
Fil: Sola, C. SW Agropecuaria. San Carlos; Argentina
Fil: Marini, P. R. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; Argentina
Fil: Marini, P. R. Universidad Nacional de Rosario (UNR). Facultad de Ciencias Veterinarias; Argentina
Fil: López-Villalobos, N. Universidad Nacional de Rosario. Programa Internacional de Investigación Lechera; Argentina
Fil: López-Villalobos, N. Massey University. School of Agriculture and Environment; Nueva Zelanda
description 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.
publishDate 2026
dc.date.none.fl_str_mv 2026-06-18T12:53:33Z
2026-06-18T12:53:33Z
2026-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/26689
https://link.springer.com/article/10.1007/s11250-026-05135-1
0049-4747
1573-7438 (online)
https://doi.org/10.1007/s11250-026-05135-1
url http://hdl.handle.net/20.500.12123/26689
https://link.springer.com/article/10.1007/s11250-026-05135-1
https://doi.org/10.1007/s11250-026-05135-1
identifier_str_mv 0049-4747
1573-7438 (online)
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repograntAgreement/INTA/2023-PD-L01-I108, Mejora genética animal en la era de la genómica y la ganadería inteligente: adaptación y resiliencia
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.none.fl_str_mv Tropical Animal Health and Production 58 : 333 (june 2026)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
_version_ 1877227348030390272
score 12.754232

Publicaciones similares