Examinando por Materia "Goat farming"

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Characterization of goat production systems in the Amazonian dry tropical forest of Peru through multivariate analysis
(Frontiers, 2025-10-21) Rodríguez Vargas, Aníbal Raúl; Tafur Gutiérrez, Lucinda; Sessarego Davila, Emmanuel Alexander; Alva Tafur, Gudelio; Castañeda Palomino, Katherine Milagros; Haro Reyes, José Antonio; Ruiz Chamorro, José Antonio; Barrantes Campos, Cecilio; Cruz Luis, Juancarlos Alejandro
The study aimed to characterize goat production systems in the tropical dry forest of Peru through multivariate analysis of 25 socioeconomic and productive variables in 60 producers from Bagua Grande, El Milagro, Cajaruro, and Cumba. Descriptive analysis, multidimensional scaling (stress = 0.03272), categorical principal component analysis (CATPCA), and hierarchical clustering analysis (HCA) were applied. A predominance of extensive management (98.3%), with low technical assistance (81.7%), absence of irrigation (90%), and visual selection of animals (100%) was identified. Marketing responds to immediate economic needs (36.7%), while vaccination coverage is poor (88.3% not vaccinated). CATPCA explained 54.5% of the variance (Cronbach's alpha = 0.965), highlighting producer education, infrastructure, and access to water and energy as key factors for improving production efficiency and mitigating commercial seasonality. HCA identified two goat production systems: the improved extensive system (EES) and the traditional extensive system (TES). The EES grouped older and more experienced producers, with larger herds, higher sales weights, greater specialization, forage diversification, better infrastructure, and higher deworming frequency. In contrast, the TES included younger producers with smaller herds, lower sales weights, lower educational levels, agricultural dependence, less forage diversity, limited infrastructure, and limited sanitary measures. These differences highlight the impact of knowledge and technological development on productive sustainability. It is concluded that technological development, access to resources, and production experience are key to improving the efficiency and sustainability of goat systems in the tropical dry forests of Peru.
Short Communication: Prediction of body weight using morphometric measurements in Creole goats from Peru
(Society for Indonesian Biodiversity, 2025-07-15) Paredes Chocce, Miguel Enrique; Sessarego Davila, Emmanuel Alexander; Tafur Gutierrez, Lucinda; Temoche Socola, Victor Alexander; Salinas Marco, Jorge; Acosta Granados, Irene Carol; Ruiz Chamorro, Jose Antonio; Cruz Luis, Juancarlos Alejandro; Trillo Zarate, Fritz Carlos
Goats are an important component of smallholder family farms along the coast and highlands of Peru. The weight of an animal is an important indicator of the production and economy of farmers in rural areas. Therefore, this study aimed to develop predictive models for Body Weight (BW) using Morphometric Measurements (MM) of Creole goats (Capra hircus) in Perú. BW and five MM were collected from 356 goats from the coast and highlands of Peru. Variables were analyzed using correlation and stepwise regression analysis to select the best model based on the coefficient of determination (r²), adjusted r², Residual Standard Error (RSE), and Akaike Information Criterion (AIC) using the RStudio statistical software. The highest correlation was found between BW and TG (0.76), followed by RW (0.67), and RH (0.65). The combinations of MM selected as predictors of BW by stepwise regression were TG, RH, and RW, with r² 0.640. The selected candidate model met all established tests and, upon validation, reached an r² of 0.66 (p<0.001), indicating that the model can adequately predict the BW of Peruvian Creole goats and serve as a practical tool to support selection programs, feeding strategies, and market decision-making in smallholder systems.