Aaron K. Hoshide

Grower perceptions of native pollinators and pollination strategies in the lowbush blueberry industry

Pollinator declines and dependence on insect pollination, particularly in fruit and vegetablecrops,creates a pressingneed to understand growers’ interactions with pollinators and factors affecting pollination strategies. At present, many growers are dependent on commercial honey bees (Apis mellifera), but diversified strategies may be necessary to secure adequate crop pollination in the future. As of yet, little social science research exists on pollination practices. This article presents the results of a survey of lowbush blueberry growers in Maine. The survey was part of a five-year pollination security study focusing on four fruit and vegetables crops in the Northeast US. The survey assesses grower perceptions of native pollinators’ effectiveness and their perceptions of native pollinators’ contribution to fruit set. Results indicate a widespread perception among growers of native pollinators’ importance. While native pollinators are not effective enough to replace rented honey bees for three-quarters of the industry, they are broadly seen as an important form of insurance in poor weather when honey bees’ effectiveness is reduced. The main obstacle to greater utilization of native pollinators found in this study was uncertainty over native pollinators’ contribution to yield and the associated difficulty monitoring native pollinators’ population size. Scientists and extension experts must work to reduce these obstacles before more widespread use of native pollinators will occur.

Economic Risk of Bee Pollination in Maine Wild Blueberry, Vaccinium angustifolium

Abstract Recent pollinator declines highlight the importance of evaluating economic risk of agricultural systems heavily dependent on rented honey bees or native pollinators. Our study analyzed variability of native bees and honey bees, and the risks these pose to profitability of Maines wild blueberry industry. We used cross-sectional data from organic, low-, medium-, and high-input wild blueberry producers in 1993, 1997–1998, 2005–2007, and from 2011 to 2015 (n = 162 fields). Data included native and honey bee densities (count/m2/min) and honey bee stocking densities (hives/ha). Blueberry fruit set, yield, and honey bee hive stocking density models were estimated. Fruit set is impacted about 1.6 times more by native bees than honey bees on a per bee basis. Fruit set significantly explained blueberry yield. Honey bee stocking density in fields predicted honey bee foraging densities. These three models were used in enterprise budgets for all four systems from on-farm surveys of 23 conventional and 12 organic producers (2012–2013). These budgets formed the basis of Monte Carlo simulations of production and profit. Stochastic dominance of net farm income (NFI) cumulative distribution functions revealed that if organic yields are high enough (2,345 kg/ha), organic systems are economically preferable to conventional systems. However, if organic yields are lower (724 kg/ha), it is riskier with higher variability of crop yield and NFI. Although medium-input systems are stochastically dominant with lower NFI variability compared with other conventional systems, the high-input system breaks even with the low-input system if honey bee hive rental prices triple in the future.

Pollination reservoirs for wild bee habitat enhancement in cropping systems: a review

ABSTRACT Pollinator-dependent growers seek alternative pollination models as pollination-security concerns grow. Pollination reservoirs, set-aside bee foraging areas, may offer growers a practical tool for increasing wild bee populations and decreasing reliance on managed bees. We review the literature on pollination reservoirs regarding a) effectiveness, b) reservoir-to-crop ratios, and c) costs and benefits. We discuss the relevant aspects of d) plant–pollinator relationships, e) landscape context, f) wild bees as pollinators, g) flower selection, and h) limitations. Recent research clearly suggests that pollination reservoirs can increase wild bee populations, crop yield, and profit. Last, we identify gaps that require additional research.

Effects of stored feed cropping systems and farm size on the profitability of Maine organic dairy farm simulations

United States organic dairy production has increased to meet the growing demand for organic milk. Despite higher prices received for milk, organic dairy farmers have come under increasing financial stress due to increases in concentrated feed prices over the past few years, which can make up one-third of variable costs. Market demand for milk has also leveled in the last year, resulting in some downward pressure on prices paid to dairy farmers. Organic dairy farmers in the Northeast United States have experimented with growing different forage and grain crops to maximize on-farm production of protein and energy to improve profitability. Three representative organic feed systems were simulated using the integrated farm system model for farms with 30, 120, and 220 milk cows. Increasing intensity of equipment use was represented by organic dairy farms growing only perennial sod (low) to those with corn-based forage systems, which purchase supplemental grain (medium) or which produce and feed soybeans (high). The relative profitability of these 3 organic feed systems was strongly dependent on dairy farm size. From results, we suggest smaller organic dairy farms can be more profitable with perennial sod-based rather than corn-based forage systems due to lower fixed costs from using only equipment associated with perennial forage harvest and storage. The largest farm size was more profitable using a corn-based system due to greater economies of scale for growing soybeans, corn grain, winter cereals, and corn silages. At an intermediate farm size of 120 cows, corn-based forage systems were more profitable if perennial sod was not harvested at optimum quality, corn was grown on better soils, or if milk yield was 10% higher. Delayed harvest decreased the protein and energy content of perennial sod crops, requiring more purchased grain to balance the ration and resulting in lower profits. Corn-based systems were less affected by lower perennial forage quality, as corn silage is part of the forage base. Growing on better soils increased corn yields more than perennial forage yields. Large corn-based organic dairy farms that produced and fed soybeans minimized off-farm grain purchases and were the most profitable among large farms. Although perennial sod-based systems purchased more grain, these organic systems were more profitable under timely forage harvest, decreased soil quality, and relatively lower purchased energy prices and higher protein supplement prices.

Profitability of coupled potato and dairy farms in Maine

After decades of farm specialization, re-integrating crop and livestock farming systems is being reconsidered as a key step toward sustainable agriculture. The relative profitability of Maine farms integrating crops and livestock is compared to nonintegrated or conventional farms. Crop and livestock integration in Maine occurs through either diversified on-farm integration or, more commonly, through coupled interactions between specialized crop and livestock producers. Potato and dairy systems coupled for only 2 years (short-term) had greater profitability compared to conventional systems. Profitability increased in the short term in two ways. First, potato farms grew more of their primary cash crop. Secondly, dairy farms expanded cow numbers, increasing profitability assuming increasing returns to scale. Coupled systems integrated for more than 10 years (long-term) had more favorable profitability than short-term couplers since greater manure-nutrient credits were taken for potatoes and silage corn. The advantages of potato-dairy integration were even greater if potato yields increased in the long term, as suggested by long-term rotation plot studies in Maine. Even if coupling is more profitable than non-integrated systems, it requires that farms be in close proximity and for farmers to have adequate working relationships and management skills. Despite these challenges to re-integrating crops and livestock, short- and long-term economic benefits may encourage farmers in appropriate areas to consider coupling with other producers.

Economic and environmental implications of wheat-crop sequences on organic dairy-farm simulations

Abstract. The market for high-quality organic bread wheat (Triticum aestivum L.) is increasing in New England, USA, providing opportunities for organic dairy farmers to grow this alternative cash crop. Our objective was to determine the sustainability of eight 3-year crop sequences compared with a perennial forage baseline in long-term (25-year), well-managed, medium-sized organic dairy farm simulations. Systems included wheat (spring or winter) preceded by maize (Zea mays L.) silage, a 1-year-old perennial forage grass, or soybean as well as maize silage followed by maize silage or soybean. Farm net return was highest for the entirely grass-based system (US

Cost modelling of Pseudomonas fluorescens and Pseudomonas chlororaphis as biocontrol for competitive exclusion of Salmonella enterica on tomatoes

742.15 cow–1). Higher winter wheat yields for soybean–wheat–grass resulted in 7% more income from feed sales (

Pollination Reservoirs in Lowbush Blueberry (Ericales: Ericaceae)

1027) than spring wheat. Soybean followed by wheat reduced soil nutrient accumulation by 0.8 kg ha–1 year–1 for phosphorus runoff and leachate losses and for potassium accumulation (–17%); there was also a 4% reduction in water footprint (kg kg–1 fat- and protein-corrected milk). Growing winter wheat provides long-term environmental and economic benefits, although for spring wheat, much of this benefit is lost. Use of maize silage in place of grass, winter or spring wheat, or soybean was less profitable. Most cropping system scenarios were less economically favourable than producing and feeding exclusively grass silage. However, inclusion of soybean increased economic benefits.

Willingness to pay for native pollination of blueberries: A conjoint analysis

ABSTRACT Published research on process-based models for biocontrol of foodborne pathogens on produce is limited. The aim of this research was to develop cost model estimates for competitive exclusion (CE) process using Pseudomonas fluorescens and Pseudomonas chlororaphis (non-plant pathogenic and non-human pathogen) as biocontrol against Salmonella enterica on tomatoes. Cost estimates were based on material inputs, equipment, facilities, and projected processing conditions of post-harvest packaging of tomatoes. The microbiological data for inactivation of S. enterica was based on published papers. The small-scale processing facility was assumed to have a processing capacity of 2000 kg of tomatoes/hour for 16 h per day, operational 6 days a week, and for 3-months /year. The large-scale facility was assumed to have a processing capacity of 100,000 kg of tomatoes/hour. Estimated initial capital investment costs for small and large-scale models (production facility) were US

Geospatial Evaluations of Potato Production Systems in Maine

391,000 and US