Blueberry Crop Research Articles

A Blueberry (Vaccinium L.) Crop Ontology to Enable Standardized Phenotyping for Blueberry Breeding and Research

Breeding programs around the world continually collect data on large numbers of individuals. To be able to combine data collected across regions, years, and experiments, research communities develop standard operating procedures for data collection and measurement. One such method is a crop ontology, or a standardized vocabulary for collecting data on commonly measured traits. The ontology is also computer readable to facilitate the use of data management systems such as databases. Blueberry breeders and researchers across the United States have come together to develop the first standardized crop ontology in blueberry (Vaccinium spp.). We provide an overview and report on the construction of the first blueberry crop ontology and the 178 traits and methods included within. Researchers of Vaccinium species—such as other blueberry species, cranberry, lingonberry, and bilberry—can use the described crop ontology to collect phenotypic data of greater quality and consistency, interoperability, and computer readability. Crop ontologies, as a shared data language, benefit the entire worldwide research community by enabling collaborative meta-analyses that can be used with genomic data for quantitative trait loci, genome-wide association studies, and genomic selection analysis.

Phenological growth stages of highbush blueberries (Vaccinium spp.): codification and description according to the BBCH scale

Highbush blueberries ( Vaccinium spp.) are cultivated crop plants worldwide and they are still gaining importance. However, a common uniform description of the phenological development was missing so far. In this work, a specific code is presented, based on the decimal BBCH scale. The BBCH scale comprises the macrostages 0–9, with macrostage 4 being omitted here, because it has no relevance for blueberry crops grown in the field. Each macrostage is subdivided in several microstages, each describing a notable developmental stage. The BBCH code takes special reference to the fruit development, fruit ripening, and several fruit pickings, which are typical for blueberries. For each macrostage the main development as well as cultivation characteristics are explained in more detail. The new BBCH code is compared with other descriptions of phenotypical development of highbush blueberries and transformations are suggested. The BBCH code is developed for cultivated highbush blueberries and is therefore applicable to northern, southern, and rabbiteye blueberries as well.

How fruit moves: Crop systems, culture, and the making of the commercial blueberry, 1870–1930

Social Impact StatementThe history of blueberries highlights the agroecological systems, multispecies relationships, and socioeconomic factors that shape eating habits and commercial availability of food. In the United States, an elaborate and lucrative human‐managed crop system evolved around so‐called wild blueberries in the late nineteenth‐century. Blueberry domestication under the auspices of public‐private collaboration in the early twentieth century then established the foundation for today's global blueberry trade. Wild blueberries continued to occupy specific economic niches, however, and an uneasy dynamic developed between locally revered Vaccinium species and the commercial “blueberry.” In an urbanizing world of people increasingly alienated from their food sources, blueberries provide a reminder of the intricate relationships between people and plants that shape both basic prospects of survival and specific ways of life, whether for good or for ill.Summary This work examines blueberries' emergence as a commercial product and how it grew out of a history that involved multiple Vaccinium species and their convoluted interactions with human ecologies. It outlines the agroecology of the wild blueberry trade in nineteenth‐ and early twentieth‐century Maine, followed by blueberries' domestication and expanded commercialization in the 1910s and 1920s through a public‐private collaboration between USDA scientist Frederick V. Coville and New Jersey cranberry grower Elizabeth C. White. The complexity of blueberries' path to becoming a global commodity underscores the significance of cultural factors in determining how a singular “blueberry” came to be defined in the first place. The article uses a range of sources to document blueberries' history of commercialization from the late nineteenth century to the present. In particular, local newspapers from Maine made it possible to reconstruct the agroecology of the wild blueberry trade in the state in the period prior to 1920, while a variety of government documents and agricultural journals provided the key means for exploring blueberries' domestication and commercialization in the 1910s and 1920s. The article delineates the main features of the agroecology that defined Maine's wild blueberry crop system and the public‐private relationship surrounding the domestication and commercialization of blueberry culture in New Jersey. These histories ultimately underscore the interplay between regional cultures, processes of commodification, and a nationalizing economy that came to define the blueberry as a product in the fresh fruit market of the United States. Public‐private collaborations, cultural discourses, and the evolving market relations that came with the globalization of blueberry culture in the late twentieth and early twenty‐first centuries continue to reflect trends established earlier in the twentieth century. The article concludes that the emergence of “the blueberry” as a singular commercial product embodies a set of systems and relationships between plant species and human societies that blurs the boundaries between wild and domesticated, ranges in scale from the local to the global, and preserves niches for localism within a global commercial landscape that itself contains multiple species underneath a veneer of standardization. Today's globalized fresh blueberry thus contains within itself a long and convoluted history of cultivation, plant breeding, competing crop systems, market relations, and cultural constructs.

Preparing a Southern Highbush Blueberry Field for Machine Harvesting

Blueberries are grown commercially in Florida for the early-season fresh fruit market. The majority of Florida’s blueberry crop is currently harvested by hand to ensure high quality standards for fresh fruit production. However, hand harvesting is the single greatest annual production cost for Florida blueberry growers, and mechanization of berry harvests could greatly reduce production costs. This is particularly important when considering the volume of fruit imported into the United States from countries where labor rates are significantly lower. Also, at times the availability of harvest labor when needed may be an issue for Florida growers; mechanization could help address that issue. This publication provides information for commercial blueberry growers interested in adopting machine harvesting.

An Economic Cost/Benefit Tool to Assess Bee Pollinator Conservation, Pollination Strategies, and Sustainable Policies: A Lowbush Blueberry Case Study

Lowbush blueberry is a mass-flowering plant species complex that grows in both unmanaged wild landscapes and managed agricultural fields in northeastern regions of both the USA and Canada. During pollination, more than 120 native bee species are associated with lowbush blueberry ecosystems in Maine, USA, in addition to three commercially managed bees. Over a 29-year period, we sampled 209 lowbush blueberry fields using quadrat and transect sampling, recording both native bee and honey bee densities, honey bee hive stocking density, and native bees as a proportion of total bees. These data were used to simulate economic uncertainty in pollination. We developed a novel algorithm, the Economic Pollinator Level (EPL), to estimate bee densities that economically warrant pollination investments such as rented hives and planting bee pastures. Statistical modeling indicated both native bee and honey bee activity density predicted proportion fruit set in fields. Honey bee activity density was well predicted by hive stocking density. Proportion fruit set adequately predicted yield. EPL was most sensitive to fruit set/m2/bee and less dependent on berry weight, rented hive stocking density, hive rental cost, lowbush blueberry price, and the annual cost of planting/maintaining pollinator pastures. EPL can be used to sustainably balance economical pollination investments/decisions with bee conservation in lowbush blueberry crops and potentially other pollinator-dependent crops.

Comparison of home-made and commercial baits for trapping Drosophila suzukii (Diptera: Drosophilidae) in blueberry crops

Abstract Drosophila suzukii (Matsumura) (Diptera: Drosophilidae) is a worldwide invasive pest. In Mexico, this species attacks various soft berries, plum, and guava. Currently, D. suzukii is monitored using traps baited with various attractants. Nevertheless, previous reports have shown that the performance of attractants may vary from one place to another. Ideally, the attractant used by growers should be as effective, long-lasting, easy to maintain and deploy, and inexpensive as possible. In this study, we compared the performance of home-made and commercial lures in capturing D. suzukii in blueberry crops in Guanajuato and Michoacán, Mexico. We also evaluated whether the capture of D. suzukii using odor-baited traps was enhanced by the incorporation of visual cues. Overall, traps baited with Z-Kinol®, fermented berries (blueberry, raspberry, and blackberry) alone or blended performed better in capturing D. suzukii flies than fermented banana, apple cider vinegar (ACV), and FLYBUSTER® Powder. The capture of flies increased by 29, 31, and 38 % when a yellow card was included in traps baited with Z-Kinol®, fermented blueberry juice, and fermented raspberry juice, respectively. The volatile compounds of fermented berry juices, identified by gas chromatography-mass spectrometry, consisted mainly of esters, particularly ethyl acetate and isopentyl acetate. In brief, our results suggest that traps baited with fermented berries can be used for monitoring and mass trapping of D. suzukii populations in blueberry crops in Mexico.

Blueberry Pruning Wastes: From an Undervalued Agricultural Residue to a Safe and Valuable Source of Antioxidant Compounds for the Food Industry.

Blueberry fruits have been widely explored for their rich composition of bioactive compounds with recognized health benefits. In contrast, blueberry pruning waste (BPW), generated during the pruning stages of blueberries, has been typically overlooked, even though it can represent a potential source of natural antioxidants. This study aims to characterize the value-added compounds extracted from BPW using green techniques, namely microwave-assisted and subcritical water extraction. The total phenolic content ranged from 157 ± 5 to 335 ± 12 mg GAE/g dw, while the radical scavenging activity determined by a DPPH assay varied from 223 ± 21 to 453 ± 21 mg Trolox equivalents/g dw. Additionally, to ensure the safe application of BPW and its extracts, a screening of pesticides and several environmental contaminants was conducted. Chlorpyrifos-methyl was quantified at a concentration of 4.27 µg/kg in a Bluecrop variety collected in 2019; however, none of the studied compounds were found in the extracts. Despite the presence of a pesticide, this level was below the maximum residue limits for blueberry crops. The results of this study demonstrated the potential of this agro-industrial residue as a natural source of bioactive compounds with high antioxidant activity for food industry applications.

Prospección y alternativas de manejo de enfermedades fungosas asociadas en el cultivo de arándano (Vaccinium corymbosum L.)

The cultivation area of blueberries (Vaccinium corymbosum L.) has a significant growth worldwide due to its nutritional value, the growing global demand and its economic potential. In Peru, the production of this crop is mainly for export and one of the main producing areas is the province of Trujillo. The objective of the study was to characterize and describe the symptoms of pathogens causing fungal diseases in the blueberry crop. Samples were taken from plants showing necrotic streaks on the stem, leaves and fruit for microbiological analysis in the laboratory. Samples were processed by direct observation of symptoms and presence of signs, using a humid chamber to promote sporulation and PDA culture medium for fungal isolates. Pestalotia sp. causing leaf spot and stem blight, Thekopsora minima causing leaf rust, Botrytis cinerea causing gray mold on flowers and fruit, and Lasiodiplodia theobromae causing dieback were identified. To corroborate their identification, pathogenicity tests were performed. For the control of these diseases, it is recommended that an integrated management plan be implemented to reduce the conditions for pathogen development, thus avoiding short-, medium- and long-term economic losses in the blueberry crop.

Features formation of blueberry crop in conditions of Transcarpathia with different pruning methods

Features formation of blueberry crop in conditions of Transcarpathia with different pruning methods

Landscape structure and farming management interacts to modulate pollination supply and crop production in blueberries

Abstract Pollination services are affected by landscape context, farming management and pollinator community structure, all of which impact flower visitation rates, pollen deposition and final production. We studied these processes in Argentina for highbush blueberry crops, which depend on pollinators to produce marketable yields. We studied how land cover and honeybee stocking influence the abundance of wild and managed pollinators in blueberry crops, using structural equation modelling to disentangle the cascading effects through which pollinators contribute to blueberry fruit number, size, nutritional content and overall yield. All pollinator functional groups responded to landscape changes at a spatial scale under 1000 m, and the significance or direction of the effects were modulated by the field‐level deployment of honeybee hives. Fruit diameter increased with pollen deposited, but decreased with honeybee abundance, which, had indirect effects on fruit acidity. Honeybees had a positive effect on the number of fruit produced by the plants and also benefited the overall yield (kg plant−1) through independent effects on both the quality and quantity components of fruit production. Synthesis and applications. Deployment of beehives in blueberry fields can buffer, but not compensate for the negative effects on honeybee abundance produced by surrounding large scale none‐flowering crops. Such compensation would require high‐quality beehives by monitoring their health and strength. The contribution of honeybees to crop production is not equal across production metrics. That is, higher abundance of honeybees increases the number of berries produced but at the cost of smaller and more acidic fruits, potentially reducing their market value. Growers must consider this trade‐off between fruit quantity and quality when actively managing honeybee abundance.

Cost analysis of a blueberry producing farm in the Cundiboyacense highlands, Colombia: A case study

The blueberry industry is growing significantly in Colombia. For investors, cost analysis plays a key role in project planning for any agribusiness. This paper is an exploratory study, with a descriptive scope to identify components of establishment and production costs of growing blueberries in Colombia. Data were collected and analyzed from a project aimed at establishing a 1 ha blueberry crop in Zipaquirá and 18 blueberry small farms in the Cundiboyacense highlands. Components were applied to estimate the capital investment and to identify the establishment, production, and maintenance costs of this project. Decision investment analysis, including discount rates for the capital asset pricing model (CAPM), were used to compute the net present value (NPV), internal rate of return (IRR), and the return on investment (ROI). Production costs are still expensive due to the Colombian peso (COP) exchange rate compared to the US dollar (USD). Results show advantages for promoting the establishment of blueberry crops because of suitable climatic conditions for continuous production throughout the year in Colombia. Labor costs and utilities are cheaper compared to other countries and represent a competitive advantage in the investment. Intermediation suppliers affect establishment costs for commercial reasons. Blueberry production cost analysis in Colombia may facilitate agribusinesses to promote projects in Colombian agriculture.

Application for the detection of physiopathologies in blueberry crop

Mexico is the 6th. worldwide producer of blueberry with 48,999 tons; where Guanajuato contributes 11% of the national total, ranking 7th. producer of the country (Secretariat of Agrifood and Rural Development, 2020). One of the main physiopathies that occurs in blueberry plants is root suffocation, which limits the ability of plants to breathe through the roots (Generalitat Valencia, 2022). Identifying the severity of the damage caused by physiopathies is essential for timely treatment and the prevention of its transmission; however, it is complex due to the lack of classification criteria. In this context, an application was developed whose purpose is to detect the level of affectation by physiopathies in blueberry leaves, calculating the percentage of damage severity, using artificial intelligence (AI). The results allow us to conclude that AI provides an easy and incremental progression as it is applied to different varieties of physiopathies, through the analysis of photographs. The application is useful for blueberry farmers and greenhouse owners, providing convenient information for the prevention and spread of crop diseases and improving decision-making

First report of the occurrence of Pestalotiopsis sp. on blueberry in Bulgaria – morphology and pathogenicity - (short communication)

The cultivation of blueberry (Vaccinium sp.) in Bulgaria has increased in recent years, but the knowledge of its diseases is almost nonexistent. During monitoring for the sanitary status of blueberry crops in Southern Bulgaria (Plovdiv region), symptoms of stem cancer, twigs necrotic lesions, leaf spots and low vigour were observed on 3-year-old Duke cv. Four isolates were obtained from damaged stems and leaves and were single-spored. The isolates were recognized as Pestalotiopsis sp. according to the cultural characteristics of the fungal colony (colony color and the presence of fruiting bodies) and morphological characteristics of conidia (color, length, width, number and size of the apical and basal appendages). In a controlled experiment, the representative isolate was pathogenic to the Duke cv. Based on morphological characteristics and pathogenicity, this study is the first report of the Pestalotiopsis sp. associated with cancer stem and leaf spots on blueberries in Bulgaria.

Pollination by native bees achieves high fruit quantity and quality of highbush blueberry: a sustainable alternative to managed pollinators

IntroductionBlueberry is one of the most relevant buzz-pollinated crops worldwide, and Chile is the most important global producer of fresh blueberries during wintertime in the Northern Hemisphere. Non-buzzing bees, such as honey bees, may provide suboptimal services compared with bees capable of buzz pollination. The widely held contention that honey bees are inferior pollinators of blueberries drives the industry to place pressure on governments to allow bumblebee (Bombus terrestris) importation for pollination. However, the introduction of B. terrestris generates environmental problems in Chile by competing with and transmitting parasites to local bees. Despite some native Chilean bees being recently recognized as efficient pollen vectors of blueberry crops, no study has evidenced the influence of their visits on fruit yield. Therefore, we aimed to evaluate the native Chilean floral visitors' performance to improve the quantity and quality of highbush blueberry in comparison to the performance of managed visitors.MethodsPer-visit pollination performance (fruit set and fruit quality) and visitation frequency were measured, and the performance of buzzing behavior by flower visitors was evaluated in four cultivars grown in five blueberry orchards located in southern Chile.ResultsWe found that fruit set and weight were highly influenced by floral visitor taxon. Some native bee species can greatly improve the fruit set and fruit quality (greater weight) of the highbush blueberry cultivars. For instance, one single visit of C. occidentalis can increase fruit weight by a factor of 1.8 compared to an A. mellifera visit; however, visits of halictids and syrphids resulted in lower fruit sets than those of unvisited flowers. However, we found that the occurrence of sonication behavior alone was not a predictor of higher fruit set and fruit weight of highbush blueberry cultivars. Consequently, the taxonomic recognition of floral visitors, ideally to the species level, is still needed to distinguish the most efficient fruit yield promoters of blueberry.DiscussionThe conservation of the biotic pollinators, especially native pollinators, would improve blueberry fruit quality and is likely to improve overall crop productivity.

Protective nets reduce pollen flow in blueberry orchards

Protective covers are commonly employed in agricultural systems to reduce the impacts of extreme weather events, pest species and to control the environmental conditions in which crop plants are grown. As protected cropping systems are expanding rapidly, there is an urgent need to better understand how variations in netting practices might impact pollination service delivery by wild and managed insects to pollinator dependent crops. We used southern highbush blueberry (Vaccinium corymbosum L. interspecific hybrid) crops to investigate (i) how variations in protected cropping structures (fully netted, partially netted and unnetted blocks) influence the amount and composition of pollen deposited on crop stigmas; (ii) to what extent blueberry floral abundance and plant richness in remnant vegetation influence pollen composition on crop stigmas; and (iii) the difference between stigmatic pollen load composition in the middle and at the edge of crop blocks. We collected data from 15 field blocks of 6 different cultivars distributed on 10 farms. We collected blueberry stigmas to analyse the pollen load and measured blueberry floral abundance and richness of flowering plant taxa in remnant vegetation every two weeks. Our results indicate that blueberry pollen abundance on stigmas was reduced by up to 81% under full netting and 36% by partial netting. On blueberry stigmas, we identified a total of 31 morphospecies of non-blueberry pollen from 20 plant families. There was no relationship between blueberry stigmatic pollen loads and blueberry floral abundance. Moreover, the composition of non-blueberry pollen on stigmas differed between blueberry blocks under different netting categories. However, there was no relationship between plant taxa present in the surrounding remnant vegetation of each block and the pollen load on the stigmas of each block. Combining all netting treatments, stigmas located at the edge of the blocks received a greater amount of both conspecific (5% more) and heterospecific (40% more) pollen grains than those within the middle of blocks. Pollen flow in fields is reduced under netting structures as well as in the middle of blocks. Reduced blueberry pollen flow under nets may be detrimental to fruit yield and quality for some varieties of pollinator dependent crops, particularly those that are self-incompatible.

Observations of nectarivorous birds and potential biological control agents in berry orchards

AbstractWe observed the brown honeyeater, Lichmera indistincta, visiting blueberry orchards in eastern Australia. L. indistincta is considered to be a nectarivorous bird, feeding almost entirely on nectar. However, we report observations of this species as both a nectarivore and insectivore in blueberry crops and as an insectivore in raspberry crops. Brown honeyeaters may be acting as biological control agents when feeding on leaf‐roller caterpillars (Lepidoptera: Tortricidae) in blueberry orchards and on brown blowflies (Calliphora stygia) in raspberry orchards. Although most blueberry growing regions use managed honey bees as the main pollinator, more studies on the complex tritrophic interactions occurring in these crops are needed to better understand the costs and benefits of different farm management practices upon alternative pollinators.

Phenotypic Characterization and Phylogeny of Godronia myrtilli (Anamorph: Topospora myrtilli)-Causal Agent of Godronia Canker on Highbush Blueberry.

Godronia canker caused by Godronia myrtilli (Feltgen) J.K. Stone is considered one of the most dangerous diseases of blueberry crops. The purpose of the study was the phenotypic characterization and phylogenetic analysis of this fungus. Infected stems were collected from blueberry crops in the Mazovian, Lublin, and West Pomeranian Voivodships in 2016-2020. Twenty-four Godronia isolates were identified and tested. The isolates were identified on the basis of their morphology and molecular characteristics (PCR). The average conidia size was 9.36 ± 0.81 × 2.45 ± 0.37 µm. The conidia were hyaline, ellipsoid or straight, two-celled, rounded, or terminally pointed. The pathogen growth dynamics were tested on six media: PDA, CMA, MEA, SNA, PCA, and Czapek. The fastest daily growth of fungal isolates was observed on SNA and PCA, and the slowest on CMA and MEA. Pathogen rDNA amplification was performed with ITS1F and ITS4A primers. The obtained DNA sequence of the fungus showed 100% nucleotide similarity to the reference sequence deposited in the GenBank. Molecular characterization of G. myrtilli isolates was performed for the first time in this study.

Automatic acoustic recognition of pollinating bee species can be highly improved by Deep Learning models accompanied by pre-training and strong data augmentation.

Bees capable of performing floral sonication (or buzz-pollination) are among the most effective pollinators of blueberries. However, the quality of pollination provided varies greatly among species visiting the flowers. Consequently, the correct identification of flower visitors becomes indispensable to distinguishing the most efficient pollinators of blueberry. However, taxonomic identification normally depends on microscopic characteristics and the active participation of experts in the decision-making process. Moreover, the many species of bees (20,507 worldwide) and other insects are a challenge for a decreasing number of insect taxonomists. To overcome the limitations of traditional taxonomy, automatic classification systems of insects based on Machine-Learning (ML) have been raised for detecting and distinguishing a wide variety of bioacoustic signals, including bee buzzing sounds. Despite that, classical ML algorithms fed by spectrogram-type data only reached marginal performance for bee ID recognition. On the other hand, emerging systems from Deep Learning (DL), especially Convolutional Neural Networks (CNNs), have provided a substantial boost to classification performance in other audio domains, but have yet to be tested for acoustic bee species recognition tasks. Therefore, we aimed to automatically identify blueberry pollinating bee species based on characteristics of their buzzing sounds using DL algorithms. We designed CNN models combined with Log Mel-Spectrogram representations and strong data augmentation and compared their performance at recognizing blueberry pollinating bee species with the current state-of-the-art models for automatic recognition of bee species. We found that CNN models performed better at assigning bee buzzing sounds to their respective taxa than expected by chance. However, CNN models were highly dependent on acoustic data pre-training and data augmentation to outperform classical ML classifiers in recognizing bee buzzing sounds. Under these conditions, the CNN models could lead to automating the taxonomic recognition of flower-visiting bees of blueberry crops. However, there is still room to improve the performance of CNN models by focusing on recording samples for poorly represented bee species. Automatic acoustic recognition associated with the degree of efficiency of a bee species to pollinate a particular crop would result in a comprehensive and powerful tool for recognizing those that best pollinate and increase fruit yields.

Large Remaining Forest Habitat Patches Help Preserve Wild Bee Diversity in Cultivated Blueberry Bush

Global declines in wild and managed bee populations represent a major concern for the agricultural industry. Such declines result, in part, from the loss of natural and semi-natural habitats in and around agricultural ecosystems. However, remaining forest patches in heavily modified landscapes represent nesting habitats that may be crucial to preserving wild bees and their services. Because wild bees are the main pollinators of fruit crops, preserving potential nesting habitats might be particularly important for the crops’ yield and profitability. Here, we assessed whether the abundance and richness of visiting wild bees in blueberry crops relates to the amount of surrounding forest cover and if so, whether those relationships varied with spatial scale. Specifically, we sampled wild bee communities in 18 blueberry fields during the blooming period in Montérégie, Quebec, Canada, where sampling consisted of pan trap triplets and direct observation of flower visitors on blueberry bushes. Then, we quantified the proportion of forest in radii of 0.5 km, 1 km, and 2 km around each field. Wild bee abundance was positively related to the proportion of forest habitat surrounding the crop field, but the relationship for wild bee richness was less clear. Moreover, these relationships were strongest at 1 and 2 km radii of measured land cover. Overall, pollinator diversity was highest when at least 30% of the surrounding landscape consisted of forest patches, representing a total area of at least 1 km2. Our results suggest that preserving large habitat patches in agricultural landscapes can help prevent further decline in wild bee diversity while maximizing pollination services to fruit crops.

Pollination of exotic fruit crops depends more on extant pollinators and landscape structure than on local management of domestic bees

Agricultural globalization has driven the expansion of exotic crops into new agricultural areas. Pollinator-dependent exotic crops not only have to face the abiotic constraints of the new cultivation regions but also deal with local pollinator assemblages, which may or may not fulfill pollination requirements. Here, we studied how three entomophilous exotic crops (kiwifruit, northern highbush blueberry and rabbiteye blueberry) adapt to a common pollination environment in new cultivation areas in Spain. For this, we assessed the pollination limitation of those crops, the contribution of insect assemblages to the pollination service, and the effect of landscape structure and the management of domestic pollinators on these assemblages. The three exotic crops showed large and diverse pollinator assemblages but differed in the assemblage composition and in the identity of the main pollinator species. Honeybee clearly dominated kiwifruit assemblages, representing almost 70 % of visits to flowers. Bumblebees and honeybee fairly equally dominated floral visits in highbush blueberry, and bumblebees accounted for more than 90% of visits in rabbiteye blueberry. Floral morphology partially explained interspecific differences in pollinator assemblages and led to the distinct contributions of the different insects to the different crops. Kiwifruit (but not blueberry) crops experienced pollination limitation that led to, on average, a 7.2 % reduction in fruit weight. This pollination limitation decreased when honeybee abundance rose. In all three crops, the local pollinator assemblages mostly depended on the landscape structure around orchards but were only affected by the management of domestic pollinators in rabbiteye blueberry crops. Our results highlight the importance of understanding the interspecific differences in the pollination ecology of new exotic crops before designing general management recommendations, and also question the use of managed pollinators before making an assessment of the contribution of extant insects to the pollination service.