This study estimated the effect of Holstein-Friesian, Brown Swiss, Jersey, Simmental and Alpine Grey cattle breeds on milk mineral contents (Ca, Mg, P, K, and Na) in multibreed herds using data predicted with mid-infrared spectroscopy. The dataset included 139,821 observations from 16,566 cows and 977 herds. Fixed effects considered in the mixed model were breed, parity, stage of lactation and first-order interactions, and random effects were cow, herd-test-date, and the residual. Multiple comparisons of least squares means were performed for the main effect of breed, parity, and stage of lactation using Bonferroni adjustment. Holstein-Friesian yielded milk with the lowest fat, protein, and casein concentration, and Ca, Mg, and P contents, whereas Jersey cows produced milk with the greatest fat, protein, and casein concentration, and Ca and Mg contents. Results of this study suggest that mixing milk from different breeds could enhance milk composition and technological ability, and therefore contribute to improve dairy industry efficiency.
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http://dx.doi.org/10.1111/asj.13095 | DOI Listing |
J Anim Sci
January 2024
Zoetis Inc, Livestock Genetics and Precision Animal Health VMRD, Kalamazoo, MI 49007, USA.
J Dairy Sci
November 2024
Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padua, 35020 Legnaro (PD), Italy.
Fertility is a crucial aspect of dairy herd efficiency and sustainability. Among factors influencing fertility in dairy cattle, metabolic stress and systemic inflammation of animals are of main relevance, especially in the postpartum stage when ovarian activity begins and cows are inseminated. Our study aimed to infer the associations between milk infrared-predicted blood biomarkers of stress resilience and fertility traits, namely the interval from calving to first service (iCF), days open (DO), and the pregnancy rate at first service (PRF) in a multi-breed population of 89,097 dairy cows.
View Article and Find Full Text PDFGenet Sel Evol
October 2024
Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, St Lucia, QLD, 4072, Australia.
Background: Genotype by environment interactions (GxE) affect a range of production traits in beef cattle. Quantifying the effect of GxE in commercial and multi-breed herds is challenging due to unknown genetic linkage between animals across environment levels. The primary aim of this study was to use multi-trait models to investigate GxE for three heifer fertility traits, corpus luteum (CL) presence, first pregnancy and second pregnancy, in a large tropical beef multibreed dataset (n = 21,037).
View Article and Find Full Text PDFAnimal
July 2024
Laboratory of Animal Husbandry, School of Veterinary Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
Small ruminant farming is of socio-economic and environmental importance to many rural communities around the world. The SMARTER H2020 project aims to redefine genetic selection criteria to increase the sustainability of the sector. The objective of this study was to analyse the selection and breeding management practices of small ruminant producers and breeders, linked with socio-technical elements that shape them.
View Article and Find Full Text PDFGenet Sel Evol
October 2023
Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, QLD, 4067, Australia.
Background: It has been challenging to implement genomic selection in multi-breed tropical beef cattle populations. If commercial (often crossbred) animals could be used in the reference population for these genomic evaluations, this could allow for very large reference populations. In tropical beef systems, such animals often have no pedigree information.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!