81 Genetic relationships among feed intake, growth, and body weight in Holstein calves.

Abstract Ensuring high feed intake and growth rates early in life has been positively associated with improved calf wellbeing and milk production in dairy cattle. Genetic selection for these early-life traits could produce calves that achieve high growth rates without increasing feed resources, reducing operational costs and environmental impact. However, feed efficiency is a composite trait with contributions from underlying genetic relationships among feed intake and energy sink traits. The objective of this study was to estimate genetic parameters for calf feed efficiency related traits in the pre-weaning and peri-weaning period, including metabolizable energy intake (MEI), average daily gain (ADG), and metabolic body weight (MBW). In total, 4,662 weekly average records for feed intake, ADG, and MBW from 938 Holstein dairy calves from 2016 to 2024 were provided by the Ontario Dairy Research Centre. MEI was calculated from the metabolizable energy content in the milk replacer and concentrated feed to capture the nutrient utilisation of both diets fed to calves in the pre-weaning and peri-weaning periods. Average MEI was 5.50 ± 1.62 Mcal for the pre-weaning period and 5.78 ± 1.43 Mcal for the peri-weaning period. Average MBW was 19.82 ± 2.16 kg0.75 for the pre-weaning period and 28.46 ± 2.27 kg0.75 for the peri-weaning period. Average ADG was 0.83 ± 0.21 kg/day in the pre-weaning period and 0.93 ± 0.16 kg/day in the peri-weaning period. A three-trait repeated records model for both time periods was fit in ASREML 4.2. Heritability estimates for pre-weaning MEI, ADG, and MBW were 0.32 ± 0.02, 0.20 ± 0.04, and 0.54 ± 0.06, respectively. Repeatability estimates for pre-weaning MEI, ADG, and MBW were 0.52 ± 0.02, 0.36 ± 0.02, and 0.88 ± 0.01, respectively. Strong positive genetic correlations were estimated between MEI and MBW (0.72 ± 0.06), MEI and ADG (0.86 ± 0.06), and MBW and ADG (0.76 ± 0.06) for the pre-weaning period. Heritability estimates for peri-weaning MEI, ADG, and MBW were 0.36 ± 0.02, 0.20 ± 0.04, and 0.51 ± 0.07 respectively. Repeatability estimates for peri-weaning MEI, ADG, and MBW were 0.68 ± 0.02, 0.36 ± 0.02, and 0.88 ± 0.01, respectively. Genetic correlations between all studied traits were lower in the peri-weaning period (0.44 ± 0.11 (MEI-MBW), 0.43 ± 0.12 (MEI-ADG), and 0.72 ± 0.06 (ADG-MBW)) in comparison to the pre-weaning period. These results highlight the opportunity for genetic selection as a strategy to improve early-life feed efficiency in Canadian dairy cattle. Estimates from this analysis will be used to derive genetic parameters for residual metabolizable energy intake as a measure of calf feed efficiency.

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Journal
Journal of Animal Science
Published
2025-10-01
DOI
https://doi.org/10.1093/jas/skaf300.146
Primary Topic
Genetic and phenotypic traits in livestock
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article
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article

81 Genetic relationships among feed intake, growth, and body weight in Holstein calves.

Flávio Schramm Schenkel, Christine F. Baes, Ricarda E Jahnel, F. Miglior et al.
Journal of Animal Science
Genetic and phenotypic traits in livestock
article

81 Genetic relationships among feed intake, growth, and body weight in Holstein calves.

Flávio Schramm Schenkel, Christine F. Baes, Ricarda E Jahnel, F. Miglior, Bayode O. Makanjuola, Avalon G R Phillips
article en

Abstract

Abstract Ensuring high feed intake and growth rates early in life has been positively associated with improved calf wellbeing and milk production in dairy cattle. Genetic selection for these early-life traits could produce calves that achieve high growth rates without increasing feed resources, reducing operational costs and environmental impact. However, feed efficiency is a composite trait with contributions from underlying genetic relationships among feed intake and energy sink traits. The objective of this study was to estimate genetic parameters for calf feed efficiency related traits in the pre-weaning and peri-weaning period, including metabolizable energy intake (MEI), average daily gain (ADG), and metabolic body weight (MBW). In total, 4,662 weekly average records for feed intake, ADG, and MBW from 938 Holstein dairy calves from 2016 to 2024 were provided by the Ontario Dairy Research Centre. MEI was calculated from the metabolizable energy content in the milk replacer and concentrated feed to capture the nutrient utilisation of both diets fed to calves in the pre-weaning and peri-weaning periods. Average MEI was 5.50 ± 1.62 Mcal for the pre-weaning period and 5.78 ± 1.43 Mcal for the peri-weaning period. Average MBW was 19.82 ± 2.16 kg0.75 for the pre-weaning period and 28.46 ± 2.27 kg0.75 for the peri-weaning period. Average ADG was 0.83 ± 0.21 kg/day in the pre-weaning period and 0.93 ± 0.16 kg/day in the peri-weaning period. A three-trait repeated records model for both time periods was fit in ASREML 4.2. Heritability estimates for pre-weaning MEI, ADG, and MBW were 0.32 ± 0.02, 0.20 ± 0.04, and 0.54 ± 0.06, respectively. Repeatability estimates for pre-weaning MEI, ADG, and MBW were 0.52 ± 0.02, 0.36 ± 0.02, and 0.88 ± 0.01, respectively. Strong positive genetic correlations were estimated between MEI and MBW (0.72 ± 0.06), MEI and ADG (0.86 ± 0.06), and MBW and ADG (0.76 ± 0.06) for the pre-weaning period. Heritability estimates for peri-weaning MEI, ADG, and MBW were 0.36 ± 0.02, 0.20 ± 0.04, and 0.51 ± 0.07 respectively. Repeatability estimates for peri-weaning MEI, ADG, and MBW were 0.68 ± 0.02, 0.36 ± 0.02, and 0.88 ± 0.01, respectively. Genetic correlations between all studied traits were lower in the peri-weaning period (0.44 ± 0.11 (MEI-MBW), 0.43 ± 0.12 (MEI-ADG), and 0.72 ± 0.06 (ADG-MBW)) in comparison to the pre-weaning period. These results highlight the opportunity for genetic selection as a strategy to improve early-life feed efficiency in Canadian dairy cattle. Estimates from this analysis will be used to derive genetic parameters for residual metabolizable energy intake as a measure of calf feed efficiency.

Journal of Animal ScienceVol. 103(Supplement_3)
University of Guelph (CA)
Openalex Percentile: Top 70%
Genetic and phenotypic traits in livestock
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