A study on the development and the application strategy of FT-MIRS-based models for the diagnosis of subclinical mastitis and milk quality classification in buffaloes

Author:

Chu Chu,Ding Lei,Ren Xiaoli,Nan Liangkang,Du Chao,Wen Peipei,Fan Yikai,Wang Haitong,Zhong Huapei,Qin Guangsheng,Gao Dengying,Zhang ShujunORCID

Publisher

Elsevier BV

Reference42 articles.

1. Anon. (2011). Multiplex PCR for rapid identification of ten major mastitis pathogens. In S. S. Patil et al. (Eds.), PD_ADMAS News, vol. 1 (pp. 8). National Institute of Veterinary Epidemiology and Disease Informatics.

2. Genetic analysis of the fourier-transform infrared spectra of bovine milk with emphasis on individual wavelengths related to specific chemical bonds;Bittante;J. Dairy Sci.,2013

3. Comparison of machine learning methods to predict udder health status based on somatic cell counts in dairy cows;Bobbo;Sci. Rep.,2021

4. Exploiting machine learning methods with monthly routine milk recording data and climatic information to predict subclinical mastitis in Italian Mediterranean buffaloes;Bobbo;Journal of Dairy Science,2023

5. Association between udder health status and blood serum proteins in dairy cows;Bobbo;J. Dairy Sci.,2017

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