2021年 第8卷 第3期
《农业科学与工程前沿（英文）》 >> 2021年 第8卷 第3期 doi: 10.15302/J-FASE-2021413
COMPARING PERFORMANCE OF CROP SPECIES MIXTURES AND PURE STANDS
1. Wageningen University, Centre for Crop Systems Analysis, 6700 AK Wageningen, the Netherlands
2. College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
3. College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing 100193, China
4. College of Agronomy/Sichuan Engineering Research Center for Crop Strip Intercropping System/Key Laboratory of Crop Ecophysiology and Farming System in Southwest, Ministry of Agriculture and Rural Affairs of China, Chengdu 611130, China
5. Tillage and Cultivation Research Institute, Liaoning Academy of Agricultural Sciences, Shenyang 110161, China
6. INRAe, AgroParisTech, Université Paris-Saclay, Unit Applied Mathematics and Computer Science (UMR MIA 518), 16 rue Claude Bernard F-75231 Paris, France
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摘要
Intercropping is the planned cultivation of species mixtures on agricultural land. Intercropping has many attributes that make it attractive for developing a more sustainable agriculture, such as high yield, high resource use efficiency, lower input requirements, natural suppression of pests, pathogens and weeds, and building a soil with more organic carbon and nitrogen. Information is needed which species combinations perform best under different circumstances and which management is suitable to bring out the best from intercropping in a given production situation. The literature is replete with case studies on intercropping from across the globe, but evidence synthesis is needed to make this information accessible. Meta-analysis requires a careful choice of metric that is appropriate for answering the question at hand, and which lends itself for a robust meta-analysis. This paper reviews some metrics that may be used in the quantitative synthesis of literature data on intercropping.
关键词
intercropping ; species mixtures ; meta-analysis ; metrics ; indicators
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