<p>La formación y documentación del hato para la conservación del banco de germoplasma de la raza bovina criolla Romosinuano se inició en 1936; actualmente se cuenta con ocho familias y 502 ejemplares que permanecen en custodia en el Centro de Investigación Turipaná de Corpoica, Cereté, Colombia. Los datos registrados han sido digitados, ordenados, clasificados y analizados; lo cual permitió determinar el origen de los 270 animales que conformaron el hato inicial, procedentes de 11 hatos de las fincas: El Torno (43%), La Granja (16%), El Recreo (14%), Los Pinos (10%) y el 17% restante de La Vorágine, Colombia, Marta Magdalena y El Chorrillo. Aplicando el método de los cuadrados mínimos y el procedimiento de modelos lineales generalizados (generalized linear model GLM) (SAS,1995), se obtuvo la caracterización fenotípica de los pesos de animales en diferentes edades y etapas de producción: edad de la vaca al primer parto e intervalo entre partos; peso del ternero al nacer, al destete, a los 16 meses ajustados; peso de la vaca al primer parto, al parto y al destete del ternero; obtenido de 12673, 6543, 4363, 620, 7178 y 2847 registros, con valores de: 29,5±3,5, 163±35, 230±45, 393±51, 444±64 y 447±60 kg, respectivamente; la edad ajustada al destete y al primer parto, obtenidas a partir de 6572 y 2064 registros fueron 256±23 y 1133±200 días, respectivamente; el intervalo entre partos a partir de 9435 registros fue de 422±131 días. La eficiencia reproductiva de 86,3% confirma la adaptación de la raza en el valle del Sinú, Colombia.</p><p> </p><p> </p>

In the vegetable production systems of the Colombian Caribbean, diversification in the use of land and products to be commercialized increases the complexity of the system. These systems require quantifying the productivity and risk associated with each of the selected crops and identifying the limiting factors that affect the economic return in order to prioritize the resource investment options by farmers and researchers dedicated to these systems. To guide this purpose, this study used a participatory modelling approach using qualitative and quantitative information on the production system provided by farmers from the Sinú Valley. The qualitative information provided in focus groups and individual interviews was organized using a systems approach. Quantitative information related to system variables was extracted as distribution probabilities after farmers were trained to provide quantitative estimates of variables. Model and input values for the variables were used to construct a probability simulation that allowed (i) to estimate the expected income in vegetable crops, and (ii) to identify the critical uncertainties of the production system. The analyzed crops were aubergine, sweet pepper, papaya and green beans. The simulation shows that there is an overlap of the distribution ranges for income (net present value) and the cost-benefit relationship for these crops. Consequently, one crop has no advantages over another in terms of higher benefits and lower risks. The preference for a particular crop could be explained by the differences in the investment required for each crop, where farmers with less financial capacity prefer to plant crops with little investment and shorter cycles (long beans). The analysis of the value of the information allowed identifying the variables that most affect the expected income of the production system: sale price of the products, losses associated with pests and diseases, and yield; it was determined that the variables associated with sweet pepper are the most important on the expected performance of the irrigated vegetable production system in the Sinú Valley.