Md. Monirul Islam , Rick Llewellyn , Marta Monjardino
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引用次数: 0
Abstract
CONTEXT
Herbicide resistance (HR) has been a major management challenge and ongoing threat in cropping regions over several decades, particularly in the time since the widespread adoption of no-tillage cropping systems. Despite extensive and severe development of resistance in Australian cropping regions, growers have been able to maintain control of new weed populations by introducing new herbicides and non-herbicide practices. These integrated weed management (IWM) practices have helped farming systems maintain productivity and adapt to changing environmental and agronomic conditions. Earlier studies found that the adoption of these alternative practices was associated with a reaction to the initial development of forms of HR on a farm. Practices include those classified as harvest weed seed control (HWSC) that kill potentially herbicide resistant weed seeds and reduce overall weed seedbank populations without increasing HR selection pressure. A largely unexplored aspect of the socioeconomics of HR management is whether the initial ‘reactive’ adoption of IWM has a ‘preventative’ effect on the further spread or proliferation of resistance development to other herbicides and in other weed species.
OBJECTIVE
To gain a deeper understanding of the farm-scale factors determining the presence of HR, the adoption of IWM practices, and the relationship between IWM use and HR status, we focus on whether initial reactive adoption of IWM has a preventative effect on further resistance development.
METHODS
Data from 602 broadacre grain growers across 13 agroecological zones of Australia were analyzed using Ordinary Least Squares and Logistic regressions to assess the extent of IWM practice adoption, while Ordered Logit models were used to capture the diversity of IWM practice use, including HWSC strategies.
RESULTS AND CONCLUSIONS
Notably, we found that adoption of IWM (including HWSC) was higher in the Western and Southern regions, most likely where HWSC practices can offer greater control on the most common resistant weed types, such as annual ryegrass. There was no evidence to support the argument that IWM use on farms is associated with reduced herbicide use, but there was considerable evidence to show that early forms of HR development on farms have led to the use of IWM practices, such as HWSC, that have the potential to reduce the seed set of weeds with potential new forms of resistance. The extent of HR was the only consistently highly significant variable to explain IWM use.
SIGNIFICANCE
These results have the capacity to pre-emptively identify sustainable weed management scenarios in various regional farming systems and future contexts, including where earlier ‘reactive’ adoption of resistance management practices may now be offering ‘proactive’ benefits.
期刊介绍:
Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments.
The scope includes the development and application of systems analysis methodologies in the following areas:
Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making;
The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment;
Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems;
Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.