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Computational Model Shows Effects of Crop Rotation Against Plant Pests
Posted by: Prof. Dr. M. Raupp (IP Logged)
Date: February 05, 2020 08:46AM

Scientists from the Max Planck Institute of Evolutionary Biology developed a
new computational model that projected how different crop rotation patterns
can have a long-term effect on a crop's yield and their defense against
plant pathogens.

Previous studies involving crop rotation have established two conclusions.
First, it was documented that switching the environment where a pathogen
grows can limit its reproduction and alter its evolution. Second, crop
rotation is known to improve pest control and soil quality. The scientists
took note of these concepts and decided to combine them in a research
investigation since both are rarely studied together from an evolutionary
point of view.

The researchers developed a computational model that investigated a scenario
wherein cash crops were planted alternately with cover crops, then factoring
in a pathogen that only affected the cash crop and taking evolutionary
theory into account. The analysis suggested that in the long run, the
effects of crop rotation depends on its ability to maintain soil quality
while reducing pathogen load during harvest time. It was also noted that
switching regular rotations every other year may not be optimal. Moreover,
the study was able to identify which crop rotation pattern can help make the
most out of a crop's produce over a long-term scenario.

The study proved how evolutionary theory can complement the farmers'
knowledge and best practices, and indicated that evolutionary principles can
help design farming strategies for optimal efficiency in crop production.
The results can also help determine better and more efficient crop
production practices by combining crop rotation and the use of genetically
modified crops, specifically those with pest-resistant traits. Such
investigations can help develop crop rotation patterns for specific crops
and pests to contribute to global food security and sustainability.


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