Development and validation of a model for early prediction of residual feed intake in beef cattle using plasma biomarkers DOI Creative Commons
Hadeer M. Aboshady, E. Jorge-Smeding, Sébastien Taussat

и другие.

animal, Год журнала: 2024, Номер 18(11), С. 101354 - 101354

Опубликована: Окт. 11, 2024

Identification of plasma biomarkers for feed efficiency in growing beef cattle offers a promising opportunity developing prediction models to improve precision feeding strategies. However, these must accurately predict at early stages fattening. Our study aimed evaluate the reliability candidate previously identified late-fattening when analysed during fattening and develop diet-specific equations residual intake (RFI). From total 364 Charolais bulls across seven cohorts, we selected 64 animals with extreme RFI values. The were fed either corn‑ or grass-silage diets. These chosen from four out available cohorts. Animals three cohorts (24 high-RFI 24 low-RFI, having mean difference 1.48 kg/d) used biomarker confirmation model training. fourth cohort (8 8 0.98 external validation. Blood samples collected beginning test (333 ± 20 days), underwent targeted metabolomic 630 metabolites, natural abundance

Язык: Английский

Development and validation of a model for early prediction of residual feed intake in beef cattle using plasma biomarkers DOI Creative Commons
Hadeer M. Aboshady, E. Jorge-Smeding, Sébastien Taussat

и другие.

animal, Год журнала: 2024, Номер 18(11), С. 101354 - 101354

Опубликована: Окт. 11, 2024

Identification of plasma biomarkers for feed efficiency in growing beef cattle offers a promising opportunity developing prediction models to improve precision feeding strategies. However, these must accurately predict at early stages fattening. Our study aimed evaluate the reliability candidate previously identified late-fattening when analysed during fattening and develop diet-specific equations residual intake (RFI). From total 364 Charolais bulls across seven cohorts, we selected 64 animals with extreme RFI values. The were fed either corn‑ or grass-silage diets. These chosen from four out available cohorts. Animals three cohorts (24 high-RFI 24 low-RFI, having mean difference 1.48 kg/d) used biomarker confirmation model training. fourth cohort (8 8 0.98 external validation. Blood samples collected beginning test (333 ± 20 days), underwent targeted metabolomic 630 metabolites, natural abundance

Язык: Английский

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