首页 | 本学科首页   官方微博 | 高级检索  
     检索      


A methodology for multi-objective cropping system design based on simulations. Application to weed management
Institution:1. Agroécologie, AgroSup Dijon, INRA, Univ. Bourgogne Franche-Comté, F-21000 Dijon, France;2. LAE, INRA, Université de Lorraine, F-54500 Vandoeuvre-lès-Nancy, France;1. ISARA-Lyon, Unité AGE (Agroécologie et Environnement), Université de Lyon, 23 rue Jean Baldassini, 69364 Lyon 07, France;2. VetagroSup, Unité GDEC (Génétique, diversité et écophysiologie des céréales), 89 avenue de l''Europe—BP 35, 63370 Lempdes, France;3. Agroscope, Institute for Plant Production Science 50 Route de Duillier, 1260 Nyon, Switzerland;1. Department of Agronomy, Naini Agricultural Institute, Allahabad 211 007, India;2. Agricultural Technology Application Research Institute, Zone II, Kolkata 700 097, India;3. International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines;4. ICAR- Indian Institute of Pulses Research, Kanpur 208 024, Uttar Pradesh, India;5. International Maize and Wheat Improvement Center (CIMMYT), India;1. College of Environmental Science and Engineering, Yangzhou University, Yangzhou, 225127, China;2. Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China;3. Institute of Water Resources and Hydro-electric Engineering, Xi''an University of Technology, Xi''an, 710054, China;4. School of Life Science, Shangrao Normal University, Shangrao, 334000, China;5. College of Chemistry and Chemical Engineering, Yangtze Normal University, Chongqing, 408003, China;6. Shandong Kingenta Ecological Engineering Group Co., Ltd., Linshu, 276700, China;7. National Engineering & Technology Research Center for Slow and Controlled Release Fertilizers, Taian, 271018, China;1. Crop Protection Department, Instituto Nacional de Investigación Agraria y Alimentaria (INIA), Ctra. de la Coruña, Km 7,5. Madrid 28040, Spain;2. Environmental Science Department, Instituto Nacional de Investigación Agraria y Alimentaria (INIA), Ctra. de la Coruña, Km 7.5, Madrid 28040, Spain
Abstract:Weeds are harmful for crop production but important for biodiversity. In order to design cropping systems that reconcile crop production and biodiversity, we need tools and methods to help farmers to deal with this issue. Here, we developed a novel method for multi-objective cropping system design aimed at scientists and technical institutes, combining a cropping system database, decision trees, the “virtual field” model FlorSys and indicators translating simulated weed floras into scores in terms of weed harmfulness (e.g. crop yield loss, weed-borne parasite risk, field infestation), weed-mediated biodiversity (e.g. food offer for bees) and herbicide use intensity. 255 existing cropping systems were simulated with FlorSys, individual indicator values were aggregated into a multi-performance score, and decision trees were built to identify combinations of management practices and probabilities for reaching performance goals. These trees are used to identify the characteristics of existing cropping systems that must be changed to achieve the chosen performance goals, depending on the user's risk strategy. Alternative systems are built and simulated with FlorSys to evaluate their multi-criteria performance. The method was applied to an existing oilseed rape/wheat/barley rotation with yearly mouldboard ploughing from Burgundy which was improved to reconcile weed harmfulness control, reduced herbicide use and biodiversity promotion, based on a risk-minimizing strategy. The best alternative replaced a herbicide entering plants via shoot tips (during emergence) and roots after barley sowing by a spring herbicide entering via leaves, introduced crop residue shredding before cereals and rolled the soil at sowing, which reduced the risk of unacceptable performance from 90% to 40%. When attempting to reconcile harmfulness control and reduced herbicide use, the best alternative changed the rotation to oilseed rape/wheat/spring pea/wheat, replaced one herbicide in oilseed rape by mechanical weeding, delayed tillage before rape and applied the PRE herbicide before oilseed rape closer to sowing. This option reduced the risk of unacceptable performance to 30%. None of the initial or alternative cropping systems succeeded in optimal performance, indicating that more diverse cropping systems with innovative management techniques and innovative combinations of techniques are needed to build the decision trees. This approach can be used in workshops with extension services and farmers in order to design cropping systems. Compared to expert-based design, it has the advantage to go beyond well-known options (e.g. plough before risky crops) to identify unconventional options, with a particular focus on interactions between cultural techniques.
Keywords:Weed  Model  Cropping system  Design  Multi-criteria performance  Indicator  Agroecology
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号