Milk phenomics: leveraging biological bonds with blood and infrared technologies for evaluating animal nutritional and health status

Giannuzzi, Diana; Evangelista, Chiara; Costa, Angela; Conte, Giuseppe; Neglia, Gianluca; Bernabucci, Umberto; Schiavon, Stefano; Mele, Marcello; Cecchinato, Alessio

doi:10.1080/1828051x.2024.2353226

Italian Journal of Animal Science

2024

DOI: 10.1080/1828051x.2024.2353226

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Milk phenomics: leveraging biological bonds with blood and infrared technologies for evaluating animal nutritional and health status

Diana Giannuzzi,

Chiara Evangelista,

Angela Costa

et al.

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Cited by 2 publications

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Infrared spectroscopy coupled with machine learning algorithms for predicting the detailed milk mineral profile in dairy cattle

Bisutti,

Mota,

Giannuzzi

et al. 2024

Food Chemistry

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Infrared spectroscopy coupled with machine learning algorithms for predicting the detailed milk mineral profile in dairy cattle

Bisutti,

Mota,

Giannuzzi

et al. 2024

Food Chemistry

View full text Add to dashboard Cite

Associations between milk infrared-predicted plasma biomarkers of stress resilience and fertility in dairy cattle: insights for enhancing breeding programs and herd management

Cecchinato,

Toledo-Alvarado,

Mota

et al. 2024

Journal of Dairy Science

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Milk phenomics: leveraging biological bonds with blood and infrared technologies for evaluating animal nutritional and health status

Cited by 2 publications

References 149 publications

Infrared spectroscopy coupled with machine learning algorithms for predicting the detailed milk mineral profile in dairy cattle

Infrared spectroscopy coupled with machine learning algorithms for predicting the detailed milk mineral profile in dairy cattle

Associations between milk infrared-predicted plasma biomarkers of stress resilience and fertility in dairy cattle: insights for enhancing breeding programs and herd management

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