The development of diagnosis for livestock farm management performances in Japan
1990
Shimizu, T. (Chiba Univ., Matsudo (Japan). Faculty of Horticulture) | Yang, J.H.
The purpose of this paper is to analyze the development process of diagnosis for livestock farm management in Japan and to present an analytical method which is adapted to information process using micro-computer modifying the prevalent diagnostic method. The results are as follows: 1) The systematic diagnosis of livestock farm management has been promoted by three kinds of agencies, that is the outer organization of Government, agricultural cooperatives, and agribusinesses. This diagnosis has a common feature that technical experts in animal husbandry make the diagnosis on the basis of livestock farm records. 2) The outer organization of Government and agricultural cooperatives have promoted the diagnosis for management performances of livestock farms for the purpose of supporting their decision makings and withdrawing loans financed. On the other hand, livestock farmers have accepted it as they had to increase efficiency of farm management as the result of complicating supervision over their herds, decreasing ratio of farm income, and increasing loans from Government and agricultural cooperatives caused by expanding their herd sizes. 3) The prevailing diagnosis depends upon the traditional direct comparison method. This method can be improved by means of intimating the standard values based on multiple regression method in which fixed factors are independent variable and management performances dependent variables. 4) One of feed stuff companies developed the information processing system of hog farms which select inefficient breeding pigs analyzing the past records of their own farms. The diagnostic methods using records within farms such as this system may diffuse in the future by requests of livestock farmers
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par Agriculture, Forestry and Fisheries Research Information Technology Center
Découvrez la collection de ce fournisseur de données dans AGRIS