Application of trait-based plant-soil feedback for agroecosystem optimization

My research looks at how different crops change the soil and how these soil changes influence the growth of the next crop. 
I studied whether basic plant characteristics (plant functional traits), can help predict soil feedbacks in agricultural settings. I found that such predictions are often weak because traits change a lot depending on growing conditions and there are many factors that also shape plant-soil feedback. I also tested how twelve major crops affect important soil functions such as nutrient cycling, disease suppressiveness, carbon storage and productivity. No single crop improved all functions, but different crops supported different functions, meaning that smart combinations can make soils healthier and more multifunctional. 
My work provided a clearer scientific basis for designing crop rotations that not only on food production but also on protecting and improving the soil. This can help reduce dependence on chemical inputs and support more sustainable agriculture in the future.