Mapping Productivity-related Spatial Characteristics in Rice-based Cropping Systems in Sri Lanka
Author:
Funder
World Bank Group
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s41651-022-00122-0.pdf
Reference28 articles.
1. AgStat (2019) Agricultural statistics. Socio Economics and Planning Centre, Department of Agriculture Peradeniya, Sri Lanka
2. Amarasingha RPRK, Galagedara LW, Marambe B, Silva GLLP, Punyawardena R, Nidumolu U, Howden M, Suriyagoda LDB (2015) Modelling the impact of changes in rainfall distribution on the irrigation water requirement and yield of short and medium duration rice varieties using APSIM during Maha season in the Dry zone of Sri Lanka. Trop Agric Res 26:274–284. https://doi.org/10.4038/tar.v26i2.8091
3. Amarasingha PRK, Suriyagoda LDB, Marambe B, Rathnayake WMUK, Gaydon DS, Galagedara LW, Punyawardena R, Silva GLLP, Nidumolu U, Howden M (2017) Improving water productivity in moisture-limited rice-based cropping systems through incorporation of maize and mung bean: a modelling approach. Agric Water Manag 189:111–122. https://doi.org/10.1016/j.agwat.2017.05.002
4. Amarasingha RK, Suriyagoda LDB, Marambe B, Galagedara LW, Punyawardena R (2018) Impact of climate change on rice yield in Sri Lanka: a crop modelling approach using Agriculture Production System Simulator (APSIM). Sri Lanka J Food Agric 4:21–26. https://doi.org/10.4038/sljfa.v4i1.54
5. Bouman BAM, Feng LP, Tuong TP, Lu GA, Wang HQ, Feng YH (2007) Exploring options to grow rice using less water in northern China using a modeling approach: II. Quantifying yield, water balance components, and water productivity. Agric Water Manag 88:23–33. https://doi.org/10.1016/j.agwat.2006.10.005
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