Push-pull technology is a novel approach in pest management which uses a repellent intercrop and an attractive trap plant. Insect pests are repelled from the food crop and are simultaneously attracted to a trap crop. A ‘push-pull’ strategy was developed by ICIPE and its collaborators for the control of stemborers and striga weed in resource-poor maize farming systems. This technology controls both stemborers and striga and improves soil fertility.
Striga weeds
Losing your maize yield to stemborers and striga?
Stemborers
Empowerment, support and challenges in implementing push-pull
Ecological investigations on push-pull
Towards further sustainable intensification of push-pull systems
Transforming Gender Relations in Agriculture in Sub-Saharan Africa
This book is the result of a process to better understand the role of gender in agriculture that was initiated by the Swedish International Development Cooperation Agency (Sida) in 2009.
Perception of Farmers on Push-Pull Technology: Using Farmers Research Network Approach in Eastern Amhara, Ethiopia
Striga and stem borer are the major challenges to sorghum production and causing serious food security problems in Ethiopia.
Bioactive Volatiles From Push-Pull Companion Crops Repel Fall Armyworm and Attract Its Parasitoids
Fall armyworm, Spodoptera frugiperda, is a serious invasive pest in Africa but “Push-Pull” companion cropping can substantially reduce infestation.
Occupancy-abundance models for predicting densities of three leaf beetles damaging the multipurpose tree Sesbania sesban in eastern and southern Africa
Mesoplatys ochroptera Sta ̊l, Exosoma and Ootheca spp. seriously damage sesbania, Sesbania sesban (L.) Merril, a multipurpose leguminous tree widely used in tropical agroforestry.
A method for estimating insect abundance and patch occupancy with potential applications in large-scale monitoring programmes
Large-scale monitoring programmes often make inferences about insect abundance based on count data collected using some probability-based sampling technique.
Selecting the right statistical model for analysis of insect count data by using information theoretic measures
Researchers and regulatory agencies often make statistical inferences from insect count data using modelling approaches that assume homogeneous variance.
