Early and Noninvasive Bird Gender Identification by ATR-FTIR Spectra Coupled with a Randon Forest Algorithm
Silvano Dias PereiraNaves, Victor Fidelis Fernandes, Matheus Cicero Ribeiro, Thiago França, Giorgio S. Senesi, Simone Sanches, Cleber Galvão, Cynthia Mantovani, Cícero Cena, Bruno Marangoni

TL;DR
This paper introduces a noninvasive and cost-effective method using ATR-FTIR and machine learning to identify bird gender early in life.
Contribution
The study proposes a novel, noninvasive method for early bird gender identification using ATR-FTIR and Random Forest, avoiding DNA testing.
Findings
ATR-FTIR combined with Random Forest achieved 94.4% accuracy for Bicudo and Curio birds.
The method showed 77.8% accuracy for Cockatiel and 72.2% for Ring-necked Parakeet.
PCA and SNV preprocessing improved the performance of the ATR-FTIR data analysis.
Abstract
The early identification of sex in birds is essential for reproduction, breeding programs, and commercialization and plays a crucial role in wildlife management and environmental law enforcement. The DNA-based molecular techniques, known for their accuracy and noninvasive nature, are the primary methods for sex determination. However, these techniques are time-consuming and expensive and require specialized laboratories. This study explores the use of attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) combined with the Random Forest algorithm as a noninvasive, cost-effective, and precise alternative for early gender determination in birds. Measurements were performed on the feather region, known as the vexillum, of four bird species: Oryzoborus maximiliani (Bicudo), Nymphicus hollandicus (Cockatiel), Oryzoborus angolensis (Curio), and Psittacula krameri…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsIdentification and Quantification in Food · Wildlife Ecology and Conservation · Marine animal studies overview
