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The development of equations to predict live-weight from linear body measurements of pasture-based Holstein-Friesian and Jersey dairy heifers

Authors :
S. Walsh
Luc Delaby
H. Costigan
Emer Kennedy
B. Lahart
Animal and Grassland Research and Innovation Centre
Irish Agriculture and Food Development Authority
Waterford Institute of Technology (WIT)
Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE)
AGROCAMPUS OUEST
Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Source :
Livestock Science, Livestock Science, Elsevier, 2021, 253, pp.104693. ⟨10.1016/j.livsci.2021.104693⟩
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

International audience; Monitoring the live-weight of dairy heifers and thus meeting weight-for-age targets is regarded as one of the most important aspects of a heifer rearing enterprise as it optimizes future production. This is particularly important in pasture-based heifer rearing systems where growth is non-linear due to seasonal variation in grass growth and quality. Data were collected throughout the rearing period to estimate the live-weight of pasture-based Holstein-Friesian (n = 130) and Jersey (n = 57) dairy heifers using linear body measurements. Live-weight was regressed on heart girth, body volume and a polynomial of body length, heart girth, and withers height; all equations were validated within-herd. All three equations were accurate predictors of live-weight for pasture-based dairy heifers (R² > 0.92 and RMSE < 19.1 kg), therefore, in the absence of weighing scales, live-weight can be successfully predicted using linear body measurements. The equation which utilizes body volume of the heifer is proposed as the most suitable predictor of live-weight.

Details

Language :
English
ISSN :
18711413
Database :
OpenAIRE
Journal :
Livestock Science, Livestock Science, Elsevier, 2021, 253, pp.104693. ⟨10.1016/j.livsci.2021.104693⟩
Accession number :
edsair.doi.dedup.....8b54c8e8ffd6afa8d3e04073eee77735
Full Text :
https://doi.org/10.1016/j.livsci.2021.104693⟩