No-till systems and crop residue management have changed cropping systems in the Great Plains. Previously, winter wheat-fallow was the prevalent rotation; now producers grow warm-season crops along with winter wheat and fallow. With this diversity of crops, producers have developed an ecological approach to weed management where cultural tactics disrupt weed population growth. Producers using this approach are managing weeds with 50% less cost compared with the winter wheat-fallow rotation. Two key components of the multitactic approach are devising rotations comprised of two cool-season crops followed by two warm-season crops with the use of no-till practices. Fallow, if used, serves in either seasonal category. The cycle-of-four rotation also minimizes severity of plant diseases, thereby increasing crop yield potential. Net returns are increased with crop diversity and no-till compared with winter wheat-fallow and tillage. Reduced cost of weed management is a major factor of improved net returns, as well as increased land productivity.

Herbicides are very effective tools to control weeds but there has been an overreliance on their use at the expense of other useful methods of weed management. Farmers are interested in alternative methods of weed management but are concerned about the risk of adopting such practices with current small profit margins. Research on the Canadian Prairies has found that cropping systems that utilize zero tillage, diverse crop rotations, competitive cultivars, higher crop seed rates, specific fertilizer management, and cover crops can effectively manage weed populations, especially when used in conjunction with targeted but limited use of herbicides. Farmers are gaining confidence in the merits of such agronomic practices in terms of sustainable weed management and are gradually adopting these integrated cropping systems on their farms. Further research and extension efforts are required to ensure that these integrated weed management systems are biologically and economically robust to facilitate greater adoption at the farm level.

Hairy nightshade is a common weed in potato rotations in the western United States. As a close relative of potato, hairy nightshade can host numerous potato nematodes, diseases, and insect pests. Hairy nightshade hosts three common parasitic nematodes of potato, Columbia and northern root-knot nematodes, and stubby root nematode. Tubers of a potato breeding line with roots that are resistant to Columbia root-knot nematode—race 1, were damaged when grown in the presence of hairy nightshade. The weed provided an alternate host for the nematode, which then allowed the nematode to infect susceptible tubers. Stubby root nematodes transmit tobacco rattle virus (TRV), the causal agent for corky ringspot disease (CRS) of potato. CRS disease was maintained in soil when hairy nightshade was present in rotation crops of alfalfa or Scotch spearmint that otherwise eliminated the disease. Hairy nightshade also is a host of potato leaf roll virus (PLRV), which is transmitted by green peach aphids (GPA). GPA preferentially land and readily reproduce on hairy nightshade. Aphid transmission of PLRV from hairy nightshade to potato was four times greater than the virus transmission rate from potato to potato. Integrated management of these potato nematodes, diseases, and insect pests also should include strategies to control hairy nightshade in potato and rotation crops.

An integrated pest management (IPM) program is a systems approach that requires an understanding of the overall agroecosystem. The interaction between different pest categories (weeds, insects, pathogens, nematodes), as well as their management practices, should be examined, understood, and taken into consideration in the design of IPM systems. Several studies have shown that plant pathogens are affected by other pests and their management practices. Herbicide application has often been cited as an example of a management practice that affects plant pathogens and disease development in various cropping systems. The activity of herbicides can extend beyond their target organisms and inhibit spore germination or mycelial growth, alter the level of phytoalexins, or interfere with other physiological processes in plants. This paper summarizes the published reports on direct effects of herbicides on plant disease and provides insights for future research on this aspect. Examples are drawn from some common agricultural herbicides and adjuvants. The discussion on various findings on herbicide and crop diseases re-emphasizes the fact that pest management in agriculture requires a systems approach. Although it is difficult to come to a common consensus on the effect of these chemicals on crop diseases or pathogens, this paper provides an overview of several interactions between herbicides and crop diseases and pathogens in various cropping systems. Knowledge of such interactions can help in the design of IPM systems.

The concept of integrated pest management (IPM) was first introduced in the 1960s. Since then many definitions of IPM have appeared in the literature. According to the 1988 U.S. National IPM Coordinating Committee, the primary goals of IPM programs are to reduce pesticide use and the subsequent environmental impact and to rely more on alternative strategies to control pests. Integrated weed management (IWM) comes under the umbrella of IPM with similar objectives of using multiple management tactics and incorporating the knowledge of weed biology and crop physiology into the weed management system. The goals of IWM range from maximizing profit margins to safeguarding natural resources and minimizing the negative impact of weed control practices on the environment. The acceptance of IWM by farmers will depend on their perceived risk to management, individual management capability, and environmental interactions that will influence the economic viability of the cropping system. We have been in this process of developing, integrating, and adopting potential IWM practices for the last 25 to 30 yr. However, strategic directions for research in the future must continue to discover opportunities for enhanced profitability and sustainability.

The fundamental role of integrated weed management (IWM) is to provide a source of scientifically based knowledge from which growers can make informed weed-management decisions. The objectives of this article include (1) highlighting the essential knowledge base required for the success of an IWM cropping system, (2) identifying the barriers to acceptance of IWM, and (3) discussing the future research opportunities for IWM. The minimum knowledge base consists of four key components: the effect of tillage on weed population dynamics, the time of weed emergence relative to the crop, the critical period for weed control, and the concept of a harvest window. There are substantial barriers, however, that reduce the willingness of growers to adopt the components of an IWM cropping system. IWM systems can be perceived as unreliable resulting in increased risk to management. No direct economic benefit can be defined clearly nor has there been sustained support for the adoption of IWM. In the future, IWM must change from a descriptive to a predictive science. As new markets evolve for agricultural products, new quality issues will arise that may influence weed management. Environmental auditing of IWM systems in terms of ISO 14000 accreditation, total carbon credits, or energy use will provide an important template from which comparisons of alternative weed-control strategies can be assessed. IWM strategies must be developed to reduce the risk to management and to gain broader support from the crop-protection industry, growers, and government.

Invasive plants impose threats to both natural and managed ecosystems. Downy brome is among the most aggressive invasive weeds that has infested the shrub-steppe ecoregion of eastern Washington. Hyperspectral remote sensing has potential for early detection and for monitoring the spread of downy brome—information that is essential for developing effective management strategies. Two airborne hyperspectral Advanced Visible Infrared Imaging Spectrometer (AVIRIS) images (electromagnetic spectrum ranging from 400 to 2,500 nm) were acquired at a nominal 4-m ground resolution over a study area in south-central Washington on July 27, 2000 and May 5, 2003. We used a mixture-tuned matched filtering (MTMF) algorithm to classify downy brome and predict its percent cover in each dataset plus a merged multiseasonal dataset using the transformed bands from a minimum noise fraction (MNF) output. The correlation coefficient was 0.79, calculated for the multidate MTMF predicted downy brome abundance, compared to 0.41 and 0.51 derived from the July 2000 and May 2003 data, respectively. Although this study used high spatial resolution (∼3 to 4 m) hyperspectral imagery, this result shows that data acquired in different seasons is more effective for detection of downy brome invasion, compared to single-date datasets. These results support expanded use of multitemporal data for weed mapping to capitalize on spectral differences between seasons for weeds, in this case downy brome, and the surrounding environment.