Dual-purpose cattle production in Nicaragua: Which breed fits best?

The importance of milk and beef production in Latin America is high and increasing. In Nicaragua and neighbouring countries, smallholder dual-purpose (i.e., milk and beef) cattle production offers opportunities for poor cattle owners to improve their food and nutrition security, and increase their income. The milk and beef value chain employs thousands of people in production, processing and marketing. In order to improve production, many farmers currently practice crossbreeding, involving a large range of breed combinations, but without clear breeding strategies. To assess current farmers´ practices and develop appropriate breeding and related management recommendations, a research project that brings together the national agricultural university of Nicaragua (UNA), the International Livestock Research Institute (ILRI), the International Center for Tropical Agriculture (CIAT and BOKU-University is being implemented in two study sites in Central Nicaragua, Camoapa and Matigu´as Municipalities. A gender-responsive baseline survey with questionnaires was performed with 289 households in Camoapa and 252 in Matigu´as, using a random sampling procedure based on official census data. A “paperless” data collection format was adopted using the “Open Data Kit” (ODK) information technology platform. Most households (>83 %) were male-headed in both municipalities. Mean age of the household head was higher in Camoapa (51.4±14 years) than in Matiguas (48.9±14 years). Most of the cattle reared in the two municipalities were cross-breds (>98 %). The crosses comprised combinations between several breed-types. The most abundant breed-type in Matigu´as was the Brahman, while in Camoapa there were more Brown Swiss and Holstein cross animals. At both locations also other breeds such as Creole, Girolando, Jersey, Nellore, Reyna and Simmental were found, whereas a large proportion of animals were crosses of unknown breed-types. Farmers stated different reasons for using various breeds in their herds such as availability of semen or bulls or different purposes for production. This is also reflected in the selection criteria of farmers. In comparison to Matigu´as, cattle production in Camoapa is more intensive (higher number of animals per hectare, stronger tendency towards dairy production), this probably being an effect of a stronger presence of development organisations

Integrating gender analysis in understanding dual-purpose cattle breeding practices in Nicaragua

Dual purpose cattle production in mixed farming systems of Nicaragua is predominantly based on permanent grazing of naturalized grasslands, introduced pastures and crop residues. Milk production and animal offtake rates are low. Information to guide gender responsive interventions to improve livestock production is being generated through a collaborative project by the International Livestock Research Institute (ILRI), the International Center for Tropical Agriculture (CIAT), the National Agrarian University of Nicaragua (UNA), and the University of Natural Resources and life Sciences in Austria (BOKU). Gender disaggregated data on milk production of 447 animals on 59 farms from Camoapa in central Nicaragua have been collected over 8 months. The data shows that more than 40% of the households keep Brown Swiss crosses, however, male headed households keep significantly more Brahman and Holstein crosses than female headed households. The average daily milk production per animal is also significantly lower in female headed households (3.54±1.55kg) than in male headed households (4.14 ±1.87kg). Farmers are conversant with Artificial Insemination (AI), however the technology is not widely adopted. Reasons mentioned for low adoption include: high costs of service, need for repeat services, and unavailability of semen from desired breed-types (e.g. Brahman × Brown Swiss). Gender analysis revealed that the need for repeated services, which increased the costs of AI, is caused by a time mismatch between the animals' heat and the AI provision. These delays are in turn determined by the gender division of labour in livestock management: women are in charge of identifying when animals come into heat but have to wait for the men to call the AI service providers. Women head of households have difficulty accessing AI services and information altogether as they are less involved in cooperative groups and training on technologies related to cattle production. This reduces the effectiveness of AI in both male and female headed households. Practical training programs are required on reproductive management and the use of AI designed with gender responsive approaches