Maino, J. | Search bioRxiv

bioRxiv2024

The ecological and economic benefits of sustainable agricultural practices: Evidence from on-farm trials in broad-acre grain crops

O_LISustainable agricultural practices are essential for mitigating the negative environmental impacts of conventional agriculture while ensuring food security. However, widespread adoption of these practices requires robust evidence of their efficacy and economic viability. C_LIO_LIWe co-designed a two-year field trial with farmers and agronomy advisors in Australia, to evaluate the ecological and economic benefits of sustainable agricultural practices for managing the redlegged earth mite, a major pest of Australian grain crops. We compared Novel treatments representing long-term farmer-implemented sustainable agricultural practices based on biological control with Conventional treatments and Plus treatments designed as counterfactuals to disentangle the effects of specific pest control and plant nutrient components. C_LIO_LIRedlegged earth mite densities remained below economic thresholds across all treatments and years, demonstrating effective pest control in both conventional and sustainable systems. Notably, the Novel treatment supported higher densities of beneficial arthropods, indicating increased biological control potential. C_LIO_LIYield and gross profit margins were generally similar between the treatments, indicating that sustainable agriculture practices can maintain profitability while fostering biodiversity. Practical implication. Our study provides evidence that biological control and biofertiliser supplementation can be effectively used to manage agricultural pests and demonstrates the value of close collaboration with farmers and agronomy advisors to conduct ecological field research that has practical applications. C_LI

ecology↗

bioRxiv2022

Incorporating selection pressures into risk predictions of chemical resistance evolution in pest organisms

Chemical resistance in pest organisms threatens global food security and human health, yet resistance issues are mostly dealt with reactively. Predictive models of resistance risk provide an avenue for field practitioners to implement proactive pest management but require knowledge of factors that drive resistance evolution. Despite the importance of chemical selection pressure on resistance evolution, poor availability of chemical usage data has limited the use of a general multi-species measure of selection pressure in predictive models. We demonstrate the use of pesticide product registrations as a predictor of resistance status and potential proxy of chemical selection pressure. Pesticide product registrations were obtained for 427 USA and 209 Australian agricultural arthropod pests, for 42 and 39 chemical Mode of Action (MoA) groups, respectively. We constructed Bayesian logistic regressions of resistance status as a function of the number of pesticide product registrations and two ecological traits, phagy and voltinism. Our models were well-supported with demonstrated power to discriminate between resistant and susceptible observations in both USA and Australian species sets using cross-validation. Importantly, we observed strong support for a positive association between pesticide products and resistance status. Our work expands the horizon for proactive management by quantitatively linking a proxy for selection pressure on pest species to different chemical MoAs. This proxy for selection pressure can be combined with ecological information to predict the resistance risk in agricultural pests. Because pesticide product registrations can typically be derived from publicly available data, we believe there is broad applicability to other agricultural pests such as weeds and fungi, and to other geographical regions beyond the USA and Australia.

evolutionary biology↗