Détails de la publication

Using a Whole-farm modelling approach to assess changes in farming systems with the use of mechanization tools and the adoption of high yielding maize varieties under uncertainty in Northern Benin

Détails de la publication

• Type:Article
• Domaine: Production végétale - Génétique
• Année de publication: 2018
• Auteurs: ADEGBOLA YGUÉ PATRICE, AMAVI AYIVI ESAÏE, AHOYO ADJOVI NESTOR RENÉ, ADEGUELOU RAOUL, AMOUSSOU PIERRE MALCOM BAMIDELE, HESSAVI MAHOUSSI PÉLAGIE, AGBANGBA EMILE, KOUTON-BOGNON BAUDELAIRE
• Cultures: Whole-farm modelling approach, mechanization tools, high yielding maize varieties
• Couverture géographique: Nord Bénin
• Mots clés: Whole-farm modelling approach; high-yielding maize varieties; use of the machineries; Target MOTAD model; Resource allocation; farm typologies and farm household.

Résumé de la publication

Farmers will adopt new agricultural technologies and other policy instruments if they fit into their resource endowments, objectives, goals, and risk aversion strategies. This study examines the effects of high-yielding maize varieties and the use of machineries on the production, income, crop mixtures, and demand for production resources in two farms and farm household typologies in the northern cotton growing belt of Benin Republic. The role of whole-farm modelling in agricultural technology and policy instruments evaluation is discussed. Data on high yielding maize varieties and machinery use in production activities were collected from the data repository of the National Agriculture Research Institute of Benin (INRAB), Universities in Benin and relevant literature. The secondary dataset on farms and farm households were subjected to the Target MOTAD models, constructed for Type 1 and type 3 households. The models were run with and without the high-yielding maize varieties and the machinery (tractor). Results indicate that the introduction of new varieties, machineries raised and farm household income in the two typologies had varying effects on land allocation for the crops.