Chris Benedict

The influence of cover crop variety, termination timing and termination method on mulch, weed cover and soil nitrate in reduced-tillage organic systems

Overwintered cover crops mechanically terminated into mulch can be a weed management tool for reduced-tillage organic agriculture. However, the impacts of management options for cover cropping are not well understood, including cover crop variety, termination timing and termination method. In a field experiment, conducted in 2012 and 2013 in Western Washington, we examined three grains, four vetches and one barley–vetch mix terminated with two mechanical methods and at two different times. We determined the influence of cover crop variety and termination time on cover crop biomass production and tissue nitrogen (N), effectiveness of cover crop termination, soil nitrate–N and percent weed cover. We also determined the influence of termination method on percent weed cover. Cover crop biomass ranged between 3 and 9 Mg ha −1 and was not influenced by termination time; the greatest production was from three varieties of grain. Rye varieties were more effectively terminated with a roller–crimper than barley. Mean soil nitrate–N levels ranged from 1.9 to 18 mg kg −1 and were the greatest with vetches. Post-termination weed cover was greater in 2013 than in 2012 and the cover crop variety influenced weed cover at the Late termination time only. Neither plant N concentration in the cover crop mulch nor soil nitrate influenced weed cover. The results of this study indicate that cover crop biomass and termination timing are important factors influencing weed cover and termination effectiveness in cover crop mulch.

Cover Crop Effects on Light, Nitrogen, and Weeds in Organic Reduced Tillage

Reducing tillage in organic crop production by using cover crops for weed suppression offers environmental benefits, however, there are many management challenges. The objective of this research was to determine the effects of cover crop type on biomass production, soil nitrate levels, light transmittance to the soil surface, and weed populations in mechanically terminated cover crops of barley, hairy vetch, and a barley–vetch mixture grown for mulch in western Washington. Cover crop biomass production ranged from 5.2 to 14.8 Mg ha−1, with barley producing equal or greater biomass than the hairy vetch and barley–vetch mixture. Post-termination light penetration through mulch was not influenced by cover crop, although vetch stands blocked more light than stands of barley or the barley–vetch mixture. Soil nitrate-N beneath barley mulch averaged 3 mg kg−1 over the season compared with 5 to 32 mg kg−1 for the mixture and 11 to 31 mg kg−1 for the vetch. Average weed densities among cover crops ranged from 0 to 115 plants m−2 at 4 weeks after cover crop termination. Weed population was lowest where cover crop biomass was greatest.

Late summer disease symptoms in western Washington red raspberry fields associated with co-occurrence of Phytophthora rubi, Verticillium dahliae, and Pratylenchus penetrans, but not Raspberry bushy dwarf virus.

Sixty percent of the

Soil Parameter Mapping and Ad Hoc Power Analysis to Increase Blocking Efficiency Prior to Establishing a Long-Term Field Experiment

109 million processed red raspberry industry of the United States occurs in northern Washington State. In 2012, late-summer symptoms of vascular wilt and root disease were observed in many raspberry plantings. These symptoms were initially attributed to Verticillium dahliae. However, diagnostic tests for the pathogen were often contradictory and other soilborne pathogens (Phytophthora rubi and Pratylenchus penetrans) or Raspberry bushy dwarf virus (RBDV) might also have been involved. Therefore, a survey was conducted in 2013 and 2014 to (i) establish the incidence and soil population levels of V. dahliae in red raspberry production fields, (ii) compare among diagnostic methods and laboratories for detecting and quantifying V. dahliae from raspberry field soil, and (iii) assess which pathogens are associated with late-summer disease symptoms of raspberry. Plant and soil samples were collected from 51 disease sites and 20 healthy sites located in 24 production fields. Samples were analyzed for the presence and quantity of each pathogen using traditional plating and extraction methods (V. dahliae, P. rubi, and P. penetrans), quantitative polymerase chain reaction (qPCR) (V. dahliae and P. rubi), and enzyme-linked immunosorbent assay (RBDV). Results showed that V. dahliae was present in 88% of the production fields and that detection of the pathogen differed by method and by laboratory: qPCR detected V. dahliae in the soil from approximately three times as many sites (51 of 71 total sites) as by plating on NP10 semi-selective medium (15 of 71 total sites). Soil populations of V. dahliae were slightly greater at disease sites, but the pathogen was detected with similar frequency from healthy sites and it was rarely isolated from diseased plants (4%). P. rubi, P. penetrans, and RBDV were also common in production fields (79, 91, and 53% of fields, respectively). Both P. rubi (soil and root samples) and P. penetrans (root populations only), but not RBDV, were more frequently found at disease sites than healthy sites, and the amount of P. rubi detected by qPCR was greater from disease sites than healthy sites. In addition, P. rubi was isolated from 27% of the symptomatic plants located at disease sites. Regardless of detection method, V. dahliae, P. rubi, and P. penetrans, either with or without RBDV, were more likely to co-occur at disease sites (73%) than healthy sites (35%), suggesting that a soilborne disease complex is present in raspberry production fields. Results indicate that P. rubi is the primary pathogen most strongly associated with late-summer symptoms of disease, but root populations of P. penetrans and higher soil populations of V. dahliae may also be of concern. Therefore, disease control methods should focus on all three soilborne pathogens.

Challenges and Opportunities for Organic Hop Production in the United States

The spatial heterogeneity of soil and weed populations poses a challenge to researchers. Unlike aboveground variability, below-ground variability is more difficult to discern without a strategic soil sampling pattern. While blocking is commonly used to control environmental variation, this strategy is rarely informed by data about current soil conditions. Fifty georeferenced sites were located in a 0.65 ha area prior to establishing a long-term field experiment. Soil organic matter (OM) and weed seed bank populations were analyzed at each site and the spatial structure was modeled with semivariograms and interpolated with kriging to map the surface. These maps were used to formulate three strategic blocking patterns and the efficiency of each pattern was compared to a completely randomized design and a west to east model not informed by soil variability. Compared to OM, weeds were more variable across the landscape and had a shorter range of autocorrelation, and models to increase blocking efficiency resulted in less increase in power. Weeds and OM were not correlated, so no model examined improved power equally for both parameters. Compared to the west to east blocking pattern, the final blocking pattern chosen resulted in a 7-fold increase in power for OM and a 36% increase in power for weeds.