Explaining rice yields and yield gaps in Central Luzon, Philippines: An application of stochastic frontier analysis and crop modelling
Study explains yield gaps using data related to crop management, biophysical constraints and available technologies
Abstract
Explaining yield gaps is crucial to understand the main technical constraints faced by farmers to increase land productivity. The objective of this study is to decompose the yield gap into efficiency, resource and technology yield gaps for irrigated lowland rice-based farming systems in Central Luzon, Philippines, and to explain those yield gaps using data related to crop management, biophysical constraints and available technologies.
This is an output from the ‘Integrated assessment of the determinants of the maize yield gap in Sub-Saharan Africa: towards farm innovation and enabling policies’ project led by the University of Wageningen.
Citation
João Vasco Silva, Pytrik Reidsma, Alice G. Laborte, Martin K. van Ittersum. Explaining rice yields and yield gaps in Central Luzon, Philippines: An application of stochastic frontier analysis and crop modelling, European Journal of Agronomy, Volume 82, Part B, 2017, Pages 223-241, https://doi.org/10.1016/j.eja.2016.06.017.