Literature DB >> 35047760

A mathematical nutrition model adequately predicts beef and dairy cow intake and biological efficiency.

Phillip A Lancaster1, Michael E Davis2, Luis O Tedeschi3, Jack J Rutledge4, Larry V Cundiff5.   

Abstract

The beef cow-calf sector accounts for 70% of feed consumed and greenhouse gases emitted for the beef industry, but there is no straightforward method to measure biological efficiency in grazing conditions. The objective of this study was to evaluate a mathematical nutrition model to estimate the feed intake and biological efficiency of mature beef cows. Data from dams (N = 160) and their second and third progeny (312 pairs) were collected from 1953 through 1980. Individual feed intake was measured at 28-d intervals year-round for dams and during 240-d lactation for progeny. Body weights of progeny were measured at 28-d intervals from birth to weaning, and of dams at parturition and weaning each production cycle. The milk yield of dams was measured at 14-d intervals. Dam metabolizable energy intake (DMEI) and milk energy yield (MEL) of each cow were predicted using the Cattle Value Discovery System beef cow (CVDSbc) model for each parity. Biological efficiency (Mcal/kg) was computed as the ratio of observed or predicted DMEI to observed calf weaning weight (PWW). Pearson correlation coefficients were computed using corr.test function and model evaluation was performed using the epiR function in R software. Average (SD) dam weight, PWW, DMEI, and observed MEL were 527 (86) kg, 291 (47) kg, 9584 (2701) Mcal/production cycle, and 1029 (529) Mcal, respectively. Observed and predicted DMEI (r = 0.93 and 0.91), and observed and predicted MEL (r = 0.58 and 0.59) were positively correlated for progeny 2 and 3, respectively. The CVDSbc model under-predicted DMEI (mean bias [MB] = 1,120 ± 76 Mcal, 11.7% of observed value) and MEL (MB = 30 ± 25 Mcal, 2.9% of observed value). Observed and predicted progeny feed intake were not correlated (r = 0.01, P-value = 0.79). Observed and predicted biological efficiency were positively correlated (r = 0.80 and 0.80, P-value ≤ 0.05) for parity 2 and 3, respectively, and the CVDSbc model under-predicted biological efficiency by 11% (MB = 3.59 ± 0.25 Mcal/kg). The CVDSbc provides reasonable predictions of feed intake and biological efficiency of mature beef cows, but further refinement of the relationship between calf feed intake and milk yield is recommended to improve predictions. Mathematical nutrition models can assist in the discovery of the biological efficiency of mature beef cows. Published by Oxford University Press on behalf of the American Society of Animal Science 2021.

Entities:  

Keywords:  cow efficiency; metabolizable energy required; modeling

Year:  2021        PMID: 35047760      PMCID: PMC8763516          DOI: 10.1093/tas/txab230

Source DB:  PubMed          Journal:  Transl Anim Sci        ISSN: 2573-2102


  36 in total

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Authors:  L L CHRISTIAN; E R HAUSER; A B CHAPMAN
Journal:  J Anim Sci       Date:  1965-08       Impact factor: 3.159

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Authors:  C B Williams; T G Jenkins
Journal:  J Anim Sci       Date:  1998-04       Impact factor: 3.159

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Authors:  M D MacNeil
Journal:  J Anim Sci       Date:  2005-04       Impact factor: 3.159

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Journal:  J Anim Sci       Date:  1983-10       Impact factor: 3.159

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Journal:  Br J Nutr       Date:  1986-11       Impact factor: 3.718

6.  Relationship of maternal milk expected progeny differences to actual milk yield and calf weaning weight.

Authors:  C H Mallinckrodt; R M Bourdon; B L Golden; R R Schalles; K G Odde
Journal:  J Anim Sci       Date:  1993-02       Impact factor: 3.159

7.  Economical and biological efficiencies of beef cattle differing in level of milk production.

Authors:  M van Oijen; M Montaño-Bermudez; M K Nielsen
Journal:  J Anim Sci       Date:  1993-01       Impact factor: 3.159

8.  A dynamic model of metabolizable energy utilization in growing and mature cattle. I. Metabolizable energy utilization for maintenance and support metabolism.

Authors:  C B Williams; T G Jenkins
Journal:  J Anim Sci       Date:  2003-06       Impact factor: 3.159

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Authors:  D D Kress; E R Hauser; A B Chapman
Journal:  J Anim Sci       Date:  1969-09       Impact factor: 3.159

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