COMPARING PERFORMANCE OF CROP SPECIES MIXTURES AND PURE STANDS
*The literature on intercropping comprises thousands of papers. *Evidence synthesis is needed to develop general conclusions. *Quantitative evidence synthesis requires meaningful comparative performance metrics. *The background, meaning, and limitations of some performance metrics is explained. *Fut...
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Published in | Frontiers of Agricultural Science and Engineering Vol. 8; no. 3; pp. 481 - 489 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Higher Education Press
2021
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Subjects | |
Online Access | Get full text |
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Summary: | *The literature on intercropping comprises thousands of papers. *Evidence synthesis is needed to develop general conclusions. *Quantitative evidence synthesis requires meaningful comparative performance metrics. *The background, meaning, and limitations of some performance metrics is explained. *Future challenges are identified.
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. |
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Bibliography: | intercropping Document accepted on :2021-07-08 species mixtures meta-analysis metrics indicators Document received on :2021-05-06 |
ISSN: | 2095-7505 2095-977X |
DOI: | 10.15302/J-FASE-2021413 |