Enhancing early identification of high-fertile cattle females using infrared blood serum spectra and machine learning

Enhancing early identification of high-fertile cattle females using infrared blood serum spectra and machine learning

Abstract Artificial insemination (AI) success in bovine reproduction is vital for the cattle industry’s economic sustainability and for advancing the understanding of reproductive physiology. Identify high-fertile animals’ fertility is a complex task due to multifactorial traits, including hormonal,...

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Bibliographic Details
Main Authors: Willian Reis, Thiago Franca, Camila Calvani, Bruno Marangoni, Eliane Costa e Silva, Alana Nobre, Gabrielle Netto, Gustavo Macedo, Cicero Cena
Format: Article
Language:English
Published: Nature Portfolio 2024-08-01
Series:Scientific Reports
Subjects:
Fertility
FTIR spectroscopy
Pregnancy photodiagnosis
Machine learning
Online Access:https://doi.org/10.1038/s41598-024-70211-1

Internet

https://doi.org/10.1038/s41598-024-70211-1

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