Recipient Organization
UNIVERSITY OF WYOMING
1000 E UNIVERSITY AVE DEPARTMENT 3434
LARAMIE,WY 82071-2000
Performing Department
Department of Plant Sciences
Non Technical Summary
Cultural and mechanical weed management practices are underused in many cropping systems, particularly for herbicide-resistant weed management. This may be due, in part, to a lack of knowledge of the impact of non-herbicide management practices on herbicide-resistant weed development. Modeling is currently the most common approach for comparing the impact of weed control practices on herbicide-resistant weed evolution. Nearly all modelers recognize the importance of validating assumptions and results of predictive models through field research, yet there is an alarming lack of field studies that quantify the impact of non-herbicide weed management practices on the evolution of herbicide-resistant weed populations. We propose conducting field studies to quantify the impact of tillage and diverse crop rotations on the development of herbicide resistance in a summer annual weed species with relatively short soil life. We will establish a kochia (Kochia scoparia) population throughout our study site with a known proportion of ALS-herbicide susceptible (S) and resistant (R) individuals, and monitor the proportion of R:S as well as total weed density in response to tillage intensity, crop rotation, and herbicide use. Based on the results of this study, we will develop biological and economic models that will aid in developing herbicide-resistant weed management recommendations that go beyond herbicide use patterns. By determining the efficacy and economic impacts of non-herbicide practices on development of herbicide resistance, we hope to decrease the reliance on herbicides, thereby reducing the evolution and spread of new herbicide-resistant weed biotypes.
Animal Health Component
90%
Research Effort Categories
Basic
5%
Applied
90%
Developmental
5%
Goals / Objectives
Our long-term goal is to understand the impact of non-herbicidal weed control practices on development of herbicide-resistant weed populations in order to develop sustainable cropping systems that prolong the utility of existing herbicide resources. In order to accomplish our long-term goal, we propose the following specific objectives for this research project: 1. Determine the impact of crop rotation diversity and tillage on enrichment of an herbicide resistance trait within a weed population. 2. Quantify the economic benefits and risks of adopting a diversified weed management program to delay the development of herbicide resistance. 3. Evaluate the fitness of the most common mutation that confers resistance to acetolactate-synthase (ALS)-inhibiting herbicides in Kochia scoparia (Trp574) under field conditions.
Project Methods
An experimental kochia population will be developed with a known resistant (R) to susceptible (S) ratio. The experimental kochia population will be seeded at all field study locations (3) prior to initiation of the field studies. Three field sites will be established under sprinkler irrigation at Research and Extension Centers near Powell, WY, Scottsbluff, NE, and Huntley, MT. Sites will be chosen in areas without major kochia infestations, so that the experimental kochia population that is seeded will be the primary source of kochia seed. A series of tillage, crop-rotation, and herbicide treatments will be imposed at all field sites. Soil sampling will be conducted each fall to determine the impact of tillage, crop rotation, and herbicide treatments on total kochia density and R:S ratio. A mixed-model ANOVA will be used, considering site and block within site random effects. Tillage, crop rotation, herbicide treatment, and all interactions among these three factors will be considered fixed effects. Response variables will include kochia control, seed production, and kochia seedling density (field measurements), kochia seed density (exhaustive germination), proportion of R seed in the seed bank (greenhouse screening), and total R seed density (proportion of R seed multiplied by seed density). The R:S ratio in the absence of ALS-inhibiting herbicides at the end of the study will provide insight into whether a major fitness cost is associated with the Trp574 mutation in kochia. The mixed-model analysis will allow us to determine the relative benefit (if any) from tillage and crop rotation for each of three herbicide use patterns. The probability of resistance evolution at distinct time points will then be modeled for each crop rotation, tillage system, and herbicide combination using the change in R:S ratio and total seed density. A model similar to that proposed by Neve et al. (2011a; 2011b) will be used to calculate the resistance risk from each tillage and crop rotation combination in the presence and absence of herbicide selection pressure. Biological model parameters such as germination proportion, natural mortality, and loss of seed viability may be influenced by tillage and crop rotation, and thus may impact the risk of resistance. We will use data from our studies to inform selection of these parameters. A linear programming model similar to Lee (2012) will be used to assess the economic impact of tillage and crop rotation at the farm-level for each herbicide use pattern. A Monte Carlo process will be used to select input costs associated with different tillage and crop rotations (such as fuel prices, labor costs, fertilizer prices, etc.) and crop prices (corn, wheat, dry bean, and sugar prices) based on historical data. The Monte Carlo process randomly draws inputs over numerous iterations (10,000 in our case) and the linear programming model determines optimal decisions over each set of random draws. The stochastic nature of the Monte Carlo process (variables of interest being randomly drawn from known distributions) allows for great sensitivity analysis and risk analysis based on a wide range of feasible prices and physical relationships. The objective of the linear programming model will be to determine the optimal crop rotation and tillage regime under various herbicide use patterns (complete reliance on ALS-inhibiting herbicides, tank mixtures, and complete avoidance of ALS-inhibitors). This approach will allow us to incorporate the risk of herbicide-resistant weed development estimated in the previous model into an economic model. Changing herbicide use patterns is a relatively simple cost calculation for growers; whereas incorporating tillage and additional crops is much more complex, and will require greater planning and management. It is important to determine the benefit of adopting these practices with respect to resistance risk, and also the economic benefits and risks. This approach will allow us to do both.