Comparative assessment of growth curves in Brazilian white Morada Nova hair sheep breed

The Morada Nova sheep breed is essential for the economy of the semi-arid region of Northeast Brazil, standing out for its adaptability, resistance to parasites and reproductive ability. However, the white variant is endangered, highlighting the importance of studies on its productivity to support c...

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Bibliographic Details
Published in:Tropical animal health and production 2024-07, Vol.56 (6), p.198-198, Article 198
Main Authors: de Assunção, Marcos Aurelio Victor, de Sousa, José Ernandes Rufino, Silveira, Robson Mateus Freitas, McManus, Concepta, Sales, Daniel Caetano, do Nascimento, Bianca Ferreira, Felix, Natanael Silva, Façanha, Débora Andréa Evangelista
Format: Article
Language:English
Subjects:
Adaptability
Age
Animal models
Animals
Arid zones
Biomarkers
Biomedical and Life Sciences
Body Weight
Brazil
Breeding
Breeding of animals
Discriminant analysis
farms
Female
flocks
Growth curves
Life Sciences
Livestock
logit analysis
Male
Parasite resistance
Parasites
phenotype
Reproductive health
reproductive performance
Semi arid areas
Semiarid lands
semiarid zones
Sex
Sheep
Sheep - growth & development
Sheep, Domestic - genetics
Sheep, Domestic - growth & development
Sheep, Domestic - physiology
Short Communications
Veterinary Medicine/Veterinary Science
Weight
Zoology
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Summary:The Morada Nova sheep breed is essential for the economy of the semi-arid region of Northeast Brazil, standing out for its adaptability, resistance to parasites and reproductive ability. However, the white variant is endangered, highlighting the importance of studies on its productivity to support conservation efforts. This study focuses on the growth curve of the Morada Nova sheep breed, using nonlinear models and analyzing flock profiles. Total of 764 observations of 165 animals from four farms in Ceará and Rio Grande do Norte, Brazil, were analyzed. Canonical discriminant analysis (CDA) was used for the exploratory analysis and four nonlinear models were used to study the growth curve. Weight from birth to 270 days of age, absolute growth rate (AGR), and the impact of sex on growth curves were assessed. Sex and farm are significant discriminating variables ( P  
ISSN:0049-4747
1573-7438
1573-7438
DOI:10.1007/s11250-024-04065-0