Impact of systems modelling on agronomic research and adoption of new practices in smallholder agriculture
2015
D J Connor, H van Rees, P S Carberry (1Department of Plant Breeding Genetics, University College of Agriculture, University of Sargodha, Sargodha 40100, Pakistan 2National Agricultural University La Molina (UNALM), Lima 12, Peru 3USDA ARS Corn Host Plant Resistance Research Unit, P.O. Box 9555, Mississippi State, MS 39762, USA 4Crop Research Institute, Anhui Academy of Agricultural Sciences, Hefei 230031, P.R.China 5Department of Crop Science, College of Agricultural and Marine Sciences, Sultan Qaboos University, P.O. Box 34, AlKhoud 123,Oman 6Department of Botany, Warsaw University of Life Sciences-SSGW, Warsaw 02-766, Poland 7Social Sciences Research Institute, National Agriculture Research Council, Islamabad 44000, Pakistan)
An analysis of the impact of simulation modelling in three diverse crop-livestock improvement projects in Agricultural Research for Development (AR4D) reveals benefits across a range of aspects including identification of objectives, design and implementation of experimental programs, effectiveness of participatory research with smallholder farmers, implementation of system change and scaling-out of results. In planning change, farmers must consider complex interactions within both biophysical and socioeconomic aspects of their crop and animal production activities. For this, whole-farm models that include household models of food, workload and financial requirements have the most utility and impact. The analysis also proposes improvements in design and implementation of AR4D projects to improve the utility of simulation modelling for securing positive agronomic and livestock outcomes and lasting legacies.
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Este registro bibliográfico ha sido proporcionado por Institute of Agricultural Information, Chinese Academy of Agricultural Sciences