ArticleTranslational animal science2021
Evaluation of partial body weight for predicting body weight and average daily gain in growing beef cattle.
Article in Translational animal science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Multi-Horizon Herd-Based Cattle Live-Weight Forecasting Using Irregular Automated Weighing Data.Animals : an open access journal from MDPI · 2026Article
- Serial Correlations of Partial Body Weight and Feed Intake in Crossbred Cattle.Animals : an open access journal from MDPI · 2026Article
- Generalizable long short-term memory models for beef cattle DMI under grazing.Journal of animal science · 2026Article
- Characterization of individual beef cattle water intake.Journal of animal science · 2026Article
- Technical Note: Assessment of a Novel Method to Measure Water Intake in Beef Cattle and Its Application to Determining Dry Matter Intake.Animals : an open access journal from MDPI · 2025Article
- Multi-Stage Data Processing for Enhancing Korean Cattle (Hanwoo) Weight Estimations by Automated Weighing Systems.Animals : an open access journal from MDPI · 2025Article
- Association of the SNP in akirin 2 Gene With Growth and Carcass Traits in Zavot Cattle.Veterinary medicine and science · 2025Article
- Article
- Characterization of rumen microbiome and immune genes expression of crossbred beef steers with divergent residual feed intake phenotypes.BMC genomics · 2024Article
- Levilactobacillus brevis MZ384011 and Levilactobacillus brevis MW362779 can mitigate lead induced hepato-renal damage by regulating visceral dispersion and fecal excretion.World journal of microbiology & biotechnology · 2024Article
- Improving Dry Matter Intake Estimates Using Precision Body Weight on Cattle Grazed on Extensive Rangelands.Animals : an open access journal from MDPI · 2023Article
- On-Barn Forecasting Beef Cattle Production Based on Automated Non-Contact Body Measurement System.Animals : an open access journal from MDPI · 2023Article
- ASAS-NANP symposium: mathematical modeling in animal nutrition-Making sense of big data and machine learning: how open-source code can advance training of animal scientists.Journal of animal science · 2023Article
- Identification of Key Pathways Associated With Residual Feed Intake of Beef Cattle Based on Whole Blood Transcriptome Data Analyzed Using Gene Set Enrichment Analysis.Frontiers in veterinary science · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Information on body weight and average daily gain (ADG) of growing animals is key not only to monitoring performance, but also for use in genetic evaluations in the pursuit of achieving sustainable genetic gain. Accurate calculation of ADG, however, requires serial measures of body weight over at least 70 days. This can be resource intensive and thus alternative approaches to predicting individual animal ADG warrant investigation. One such approach is the use of continuously collected individual animal partial body weights. The objective of the present study was to determine the utility of partial body weights in predicting both body weight and ADG; a secondary objective was to deduce the appropriate length of test to determine ADG from partial body weight records. The dataset used consisted of partial body weights, predicted body weights and recorded body weights recorded for 8,972 growing cattle from a range of different breed types in 35 contemporary groups. The relationships among partial body weight, predicted body weight and recorded body weight at the beginning and end of the performance test were determined and calculated ADG per animal from each body weight measure were also compared. On average, partial body weight explained 90.7 ± 2.0% of the variation in recorded body weight at the beginning of the postweaning gain test and 87.9 ± 2.9% of the variation in recorded body weight at its end. The GrowSafe proprietary algorithm to predict body weight from the partial body weight strengthened these coefficients of determination to 95.1 ± 0.9% and 94.9 ± 0.8%, respectively. The ADG calculated from the partial body weight or from the predicted body weight were very strongly correlated (
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