Record Details     « Return to search results       Brief Record Full Record MARC Record     Bibliographic Data Control Number 409904 Date and Time of Latest Transaction 20201212061612.AM General Information 201212s |||||||||b ||00||| Cataloging Source DOST-PCHRD Main Entry - Personal Name Valera, Jaime B   Gonzales-Intal, A. Miren Title Statement A descriptive model of cropping decision making application to crop diversification in irrigated rice farms Physical Description 37-47 Summary, Etc. The research sought to model the cropping decision making of farmers via-a-vis diversified crops. A three-stage descriptive model of cropping decision making under certainty was developed. The model which is a modified version of Gladwin's (1980) decision tree model, was tested in six case studies of successful crop diversification in irrigated rice farms. The six case studies consisted of tobacco farming in San Fabian, Pangasinan;cotton growing in Urdaneta and Manaoag, Pangasinan, tomato growing in Sta Barbara and Mapandan, Pangasinan; mungbean farming in Manaoag and Urdaneta, Pangasinan; onion growing in San Jose Nueva ecija; garlic, corn, and peanut growing in Laoag, Ilocos Norte. A total of 266 farmers from the different sites were interviewed. Overall, the cropping decision tree model found emperical support in the various cases except for the mungbean case which was not a free choice situation and for corn an d peanut cases which were not the major diversified crops of the farmers but only subsidiary crops. Results indicate that the cropping decision tree model is applicable to the choice of a major diversified crop involving a free choice situation. The model appears promising as a diagnostic guide which can be used by change agents for determining whether or not farmers are ready to crop diversify Subject Added Entry - Topical Term ORYZA SATIVA   DESCRIPTIVE MODEL   CROPPING   CROP DIVERSIFICATION   IRRIGATED RICE FARMS   ORYZA SATIVA           Physical Location           Digital Copy Not Available          Add to Book Cart  |   Download MARC