Productive and technological characteristics of goat farmers in Comondú, Baja California Sur.

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Raúl Avalos-Castro
José Denis Osuna-Amador
Carlos Ariel Cabada-Tavares
Noé de Jesús Medina-Córdova
Pedro Cadena-Iñiguez
Rafael Ariza-Flores

Keywords

goats, technology transfer, adoption

Abstract

Objective: Identifying productive characteristics through technological indicators adopted by goat farmers in the municipality of Comondú in Baja California Sur


Design/methodology/approach: A questionnaire with semi-structured questions was designed to obtain multicriteria information on variables of technological, economic, social and multilevel indicators. To determine the sample size, the formula suggested by (Snedecor and Cochran, 1967 and cited by Rojas, 1979) was used; Cadena, (2004); Uzcaga, et al., (2021). It indicates that the elements must be selected through a random lottery with replacement for the case of producers representing each UPF, who intervene in PRODETER and according to the numerical characteristics of the universe of producers.


Results: The production units (UP) were classified by means of the statistical method of analysis of means conglomerates with SAS, which allowed to identify four groups of producers with 10.33, 69, 10.33 and 10.33% of them. The social indicator showed differences between PUs in the level of education, the non-inclusion of women in the activity, total annual income and whether or not they are integrated in an association. The technological indicator showed differences in the distance of the UP with the community, road conditions, area of the UP, available area for planting, water sources, herd size, availability of facilities, machinery and equipment. The economic indicator showed differences between PU in complementary agricultural activities, economic dependence of the activity, milk production, cheese, waste animals, goat production and their respective sales values.


Findings/conclusions: The technological indexes, herd size and distance from the UP to the municipal head and community allowed to group and better understand the producers based on their social characteristics, technological and economic indicators. This information will make it possible to precisely define the type of intervention on management practices or management required.

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