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, age-related, and body condition factors. Early high-fertility identification is crucial for timely interventions and enhancing AI success. In this study, we present the potential use of Fourier-transform infrared (FTIR) spectroscopy on blood serum for early identification of high-fertile Nellore female cows for AI protocols. Blood serum FTIR spectra were obtained from Nellore female cows before AI. FTIR spectra underwent data analysis and the results demonstrated successful discrimination between animal

SUBMITTER: Reis W 

PROVIDER: S-EPMC11339307 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature