Model evaluation of cover crops,application to eleven species for banana cropping systems |
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| Authors: | P Tixier C Lavigne S Alvarez A Gauquier M Blanchard A Ripoche R Achard |
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| Institution: | 1. CIRAD, UPR 26, B.P. 214, F-97285, Le Lamentin, Martinique, France;2. CIRAD, UPR HORTSYS, B.P. 214, F-97285, Le Lamentin, Martinique, France;1. University of Texas at Brownsville, Brownsville, TX 78520, USA;2. U.S. Fish and Wildlife Service, Laguna Atascosa National Wildlife Refuge, Los Fresnos, TX 78566, USA;3. Mississippi State University, Department of Forestry, Starkville, MS 39762, USA;1. Corporación Universitaria Minuto de Dios, Facultad de Ingeniería, Calle 81b No. 72B-70, Bogotá, Colombia;2. Zenkinoko SAS, Diag 151b No. 136ª-75 Cs 93, Bogotá, Colombia;1. Food and Environment Program, Faculty of Land and Food Systems, The University of British Columbia, 2357 Main Mall, Vancouver, BC, V6T 1Z4, Canada;2. Applied Mammal Research Institute, 11010 Mitchell Avenue, Summerland, BC, V0H 1Z8, Canada;3. Center for Sustaining Agriculture and Natural Resources, Washington State University, Tree Fruit Research and Extension Center, 1100 North Western Avenue, Wenatchee, WA, 98801, United States;1. State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, PR China;2. Graduate University of Chinese Academy of Sciences, Beijing 100081, PR China;3. Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen AB24 3UU, UK;1. Department of Biological Science and Environmental Studies, College of Science and Mathematics, University of the Philippines Mindanao, Mintal, Davao City, Philippines;2. School of Environmental Science and Management (SESAM), Department of Forest Biological Sciences, College of Forestry and Natural Resources, University of the Philippines Los Baños (UPLB) College, Laguna, Philippines;1. Università degli Studi della Basilicata, Dipartimento delle Culture Europee e del Mediterraneo: Architettura, Ambiente, Patrimoni Culturali, Italy;2. Zespri Fresh Produce Italy S.r.l., Cisterna di Latina (LT), Italy;3. Research Institute of Urban Environment and Human Resources, Panteion University, Athens, Greece |
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| Abstract: | Cover crops are increasingly used for weed management. But selecting the most suitable species of cover crop to be associated with a main crop requires long-term trials. We present a model-based method that uses a reduced number of parameters to help select cover crops in the context of banana cover-cropping systems. We developed the SIMBA-CC model to focus on radiation interception. The model was calibrated for 11 cover crop species by measuring their growth in 4 m2 plots with three levels of shade (0, 50, and 75%). The SIMBA-CC model served to predict the long term growth potential of the 11 cover crop species in function of the radiation under the banana crop canopy. The model was validated using three species in association with banana plants. We defined three indicators based on outputs of the model to assess the ability of each of the 11 species (i) to compete with weeds and (ii) to be maintained in the long-term under the canopy of the main crop, and (iii) to evaluate competition with the main crop for nitrogen resource. This ex ante evaluation revealed the most promising species to be intercropped with banana. Finally, the SIMBA-CC model was used to define the light interception traits of a virtual cover crop that satisfy the three indicators in the case of intercropping with banana. We showed that to satisfy the three criteria, cover crops with low values of optimal photosynthetically active radiation (PARopti) should have moderate maximal biomass productivity, while crops with higher PARopti values should have a higher maximal productivity. The use of functional traits and modeling appears effective to disentangle the relations between intrinsic traits of cover crops and effect traits that affect the performances of the intercropping system. |
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