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Development and validation of a model for early prediction of residual feed intake in beef cattle using plasma biomarkers

Authors :
H.M. Aboshady
E. Jorge-Smeding
S. Taussat
G. Cantalapiedra-Hijar
Source :
Animal, Vol 18, Iss 11, Pp 101354- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Identification of plasma biomarkers for feed efficiency in growing beef cattle offers a promising opportunity for developing prediction models to improve precision feeding strategies. However, these models must accurately predict feed efficiency at early stages of fattening. Our study aimed to evaluate the reliability of candidate biomarkers previously identified in late-fattening cattle when analysed during early fattening stages and to develop diet-specific prediction equations for residual feed intake (RFI). From a total of 364 Charolais bulls across seven cohorts, we selected 64 animals with extreme RFI values. The animals were fed either a corn‑ or grass-silage diets. These animals were chosen from four out of the available seven cohorts. Animals from three cohorts (24 high-RFI and 24 low-RFI, having a mean RFI difference of 1.48 kg/d) were used for biomarker confirmation and prediction model training. Animals from a fourth cohort (8 high-RFI and 8 low-RFI, having a mean RFI difference of 0.98 kg/d) were used for model external validation. Blood samples were collected at the beginning of the feed efficiency test (333 ± 20 days), and plasma underwent targeted metabolomic for 630 metabolites, natural abundance of 15N (δ15N), insulin, and IGF-1 analysis. Seven previously identified plasma biomarkers for RFI in late-fattening beef cattle still kept their capability for discriminating low and high RFI animals when analysed during early fattening stages (P 0.05). Prediction models were developed based on seven confirmed RFI biomarkers analysed during early-fattening. Two logistic regression models incorporating creatinine and either IGF-1 (for grass silage-based diet) or PC aa C30:2 (for corn silage-based diet) effectively distinguished between high− and low-RFI animals with high sensitivity and specificity (area under the curve > 0.80). The biomarkers used in the models showed moderate to high repeatability between early and late fattening stages (0.45

Details

Language :
English
ISSN :
17517311
Volume :
18
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Animal
Publication Type :
Academic Journal
Accession number :
edsdoj.b3bbd8dbe46745e286ec31183b2355b7
Document Type :
article
Full Text :
https://doi.org/10.1016/j.animal.2024.101354