Integrating on-farm and genomic information improves the predictive ability of milk infrared prediction of blood indicators of metabolic disorders in dairy cows
Abstract Background Blood metabolic profiles can be used to assess metabolic disorders and to evaluate the health status of dairy cows. Given that these analyses are time-consuming, expensive, and stressful for the cows, there has been increased interest in Fourier transform infrared (FTIR) spectros...
Main Authors: | Lucio F. M. Mota, Diana Giannuzzi, Sara Pegolo, Erminio Trevisi, Paolo Ajmone-Marsan, Alessio Cecchinato |
---|---|
Format: | Article |
Language: | deu |
Published: |
BMC
2023-04-01
|
Series: | Genetics Selection Evolution |
Online Access: | https://doi.org/10.1186/s12711-023-00795-1 |
Similar Items
-
In-line near-infrared analysis of milk coupled with machine learning methods for the daily prediction of blood metabolic profile in dairy cattle
by: Diana Giannuzzi, et al.
Published: (2022-05-01) -
Associations between Milk Fatty Acid Profile and Body Condition Score, Ultrasound Hepatic Measurements and Blood Metabolites in Holstein Cows
by: Diana Giannuzzi, et al.
Published: (2022-05-01) -
Associations between the detailed milk mineral profile, milk composition, and metabolic status in Holstein cows
by: Alessandro Toscano, et al.
Published: (2023-09-01) -
Methylome-wide analysis of milk somatic cells upon subclinical mastitis in dairy cattle
by: D. Giannuzzi, et al.
Published: (2024-03-01) -
Integrating genomic and infrared spectral data improves the prediction of milk protein composition in dairy cattle
by: Toshimi Baba, et al.
Published: (2021-03-01)