A method for identifying soil properties influencing crop yield: the example of maize in the Savanna Belt of South-western Nigeria |
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| Institution: | 1. Department of Geography, University of Ibadan, Ibadan, Nigeria;1. Research Area 1 “Landscape Functioning”, Working Group “Hydropedology”, Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Str. 84, D-15374 Müncheberg, Germany;2. Schmidt Institute of Physics of the Earth of Russian Academy of Sciences, Lab.202, Bolshaya Gruzinskaya str. 10/1, 123242 Moscow, Russia;1. Institute of Crop Sciences, Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture, Beijing 100081, China;2. Oasis Ecology Agriculture of Xinjiang Construction Crops/The Center of Crop High-Yield Research, Shihezi 832003, China;1. College of Science and Engineering and Center for Tropical Environmental and Sustainability Science, James Cook University Townsvill QLD 4811 (Australia);2. International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Addis Ababa 1000 (Ethiopia);1. Oswaldo Cruz Foundation (Fiocruz), Department of Sanitation and Environmental Health, National School of Public Health, Av. Leopoldo Bulhões, 1480, 21041-210 Rio de Janeiro, Brazil;2. Design Architecture and Building, School of Built Environment, University of Technology, POB 123 Broadway, Ultimo, Sydney, NSW 2007, Australia;1. Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA;2. Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA;3. Global Change and Photosynthesis Research Unit, United States Department of Agriculture, Agricultural Research Service, Urbana, IL 61801, USA;1. Biometris, Wageningen University & Research, P.O. Box 16, 6700 AA, Wageningen, The Netherlands;2. Institute of Soil Research, University of Natural Resources and Life Sciences (BOKU), Peter-Jordan-Straße 82, 1190, Vienna, Austria;3. Institute for Ecosystem Research and Environmental Information Management, Environment Agency Austria, Spittelauer Lände 5, 1090, Vienna, Austria;4. Wageningen University & Research, P.O. Box 47, 6700 AA, Wageningen, The Netherlands;5. Institute for Sustainable Plant Production, Department for Soil Health and Plant Nutrition, Austrian Agency for Health and Food Safety (AGES), Spargelfeldstraße 191, A-1220, Vienna, Austria;6. Faculty of Life and Environmental Sciences, University of Iceland, Sturlugata 7, IS-101, Reykjavík, Iceland;7. Institute for Biodiversity and Ecosystem Dynamics (IBED), Faculty of Science, University of Amsterdam, P.O. Box 94248, 1090 GE, Amsterdam, The Netherlands |
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| Abstract: | This paper describes a method of identifying the crucial soil properties influencing yields of crops, using the example of maize in south-western Nigeria. The method involves first, the examination of the relationship between soil properties and the maize parameters using the simple bivariate correlation analysis and the multiple regression model. It also involves, in part, the computation of an index of soil variable contribution to maize prediction in order to identify the crucial soil properties influencing the yield of the crop. In the current study, the multiple regression model reduces the 20 soil properties analysed to the 14 that have made significant contributions to the crop's prediction. The 14 variables were later reduced to two using the maize-prediction index. The index has the merits of being very simple to compute and the ability to reduce the numerous variables to few significant ones as far as the crop under investigation is concerned. |
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