Environmental, socio-economical and technical evaluation of a genetic enterprise from Mayabeque, Cuba, using the Statistical Model of Impact Measuring (SMIM)

Contenido principal del artículo

Idalmis Rodríguez
Verena Torres
Omar Martínez
Lourdes Domínguez Orta

Resumen

In order to evaluate the impact of indicators that influence on milk production of a genetic enterprise “Valle del Perú” from Mayabeque
province, Cuba, information was gathered related to technical, economical, social and environmental indicators of five years were obtained.
The analysis of main components showed that the first fourth components allowed to explain 68.38 % of the variability of this enterprise.
The first component known as “Economical impact of technologies” groups 18 variables and explains 40.90 % of the variability. Impact
is positive from October, 2007 to December, 2010, coinciding with the introduction of new grass species, as well as with other factors
that influenced on the increase of milk production and on economical indicators. The second component is “Milk production” and it groups four variables (53.33 % of variability). A very unstable performance is determined due to the two climatic periods and a negative impact is appreciated. Causes of this behavior are argued. It can be concluded that the application of this methodology (SMIM) allowed to know the impact of the main indicators on milk production of the enterprise, demonstrating the factors of highest incidence in this process. A strategy is proposed to be followed by the enterprise for its perfecting during the next stages. This enterprise should continue working on the strategy of rehabilitation and sowing of cultured pastures, as well as applying technologies to fight the consequences of the dry period. Likewise, it is recommended to evaluate the application of this methodology in each productive unit of the enterprise, as well as include new environmental variables.

Key words: impact index, milk production, technologies

Detalles del artículo

Cómo citar
Rodríguez, I., Torres, V., Martínez, O., & Domínguez Orta, L. (2016). Environmental, socio-economical and technical evaluation of a genetic enterprise from Mayabeque, Cuba, using the Statistical Model of Impact Measuring (SMIM). Cuban Journal of Agricultural Science, 48(3). Recuperado a partir de https://cjascience.com/index.php/CJAS/article/view/575
Sección
Biomatemáticas

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