DOAJ Open Access 2024

Analysis of Growth Models in Galician × Nelore Crossbred Cattle in the First Year of Life

Antonio Iglesias Fernando Mata Joaquim Lima Cerqueira Alicja Kowalczyk Jesús Cantalapiedra +2 lainnya

Abstrak

The veal niche market is gaining momentum in Brazil. Locally known as ‘Vitelão’, veal refers to the meat from calves slaughtered up to 12 months of age. In this study, we assessed the Galician Blond × Nelore cross as a candidate to produce veal. The aim of this study was to establish criteria for selecting 12-month-old calves suitable for slaughter. To find the best fit, we adjusted various growth models for calves up to 12 months of age. Once the best fit was determined, the selected growth model was then used to calculate the relative and instantaneous growth rates to evaluate the slaughtering potential at 12 months. Our study reveals that, under present conditions, the Logistic model is the best fit for characterizing and functionally analyzing growth from birth to 12 months of age in Galician Blond crosses with Nelore. Calves resulting from this cross experience rapid growth in their first 12 months of life, making them an excellent choice for producing high-quality veal while maintaining rusticity and adaptability to extreme environments. The results of this study could contribute to enhancing the growth management systems of Galician Blond and Nelore crosses in Brazilian grazing production systems. Additionally, they can be incorporated into genetic improvement programs as a tool for selecting animals with greater precocious growth without altering adult weight.

Penulis (7)

A

Antonio Iglesias

F

Fernando Mata

J

Joaquim Lima Cerqueira

A

Alicja Kowalczyk

J

Jesús Cantalapiedra

J

José Ferreiro

J

José Araújo

Format Sitasi

Iglesias, A., Mata, F., Cerqueira, J.L., Kowalczyk, A., Cantalapiedra, J., Ferreiro, J. et al. (2024). Analysis of Growth Models in Galician × Nelore Crossbred Cattle in the First Year of Life. https://doi.org/10.3390/ani14243698

Akses Cepat

PDF tidak tersedia langsung

Cek di sumber asli →
Lihat di Sumber doi.org/10.3390/ani14243698
Informasi Jurnal
Tahun Terbit
2024
Sumber Database
DOAJ
DOI
10.3390/ani14243698
Akses
Open Access ✓