Translator Disclaimer
1 March 2017 Abundance and Diversity of Beneficial and Pest Arthropods in Buckwheat on Blueberry and Vegetable Farms in North Florida
Author Affiliations +
Abstract

The occurrence of beneficial and pest arthropods collected from buckwheat companion plantings on a blueberry and a vegetable farm in north Florida was characterized. Similarity of arthropod diversity at the family level was intermediate (Sørensen index = 0.59). Significantly more pollinators and parasitoids but fewer pests were collected at the blueberry than the vegetable farm. The blueberry farm, therefore, achieved the goal of using companion plants to selectively enhance the impact of natural enemies. This goal was not accomplished at the vegetable farm because relatively large numbers of tarnished plant bugs and other pests attracted to the buckwheat were not controlled by the natural enemies.

The diversity of plants in agricultural crops can be managed to provide non-crop floral resources that increase the variety and abundance of beneficial arthropods (Root 1973; Gurr et al. 2003). The diversitydriven reduction of herbivore damage has typically been attributed either to an increase in predator and parasite abundance (the “enemies” hypothesis), or to the fact that the crop host is less concentrated in a diverse setting, reducing the likelihood that an herbivore will be able to locate and colonize the non-contiguous crop (the “resource concentration” hypothesis) (Root 1973). Buckwheat, Fagopyrum esculentum Moench (Polygonaceae), a common cover crop, has been reported as an excellent source of nectar and habitat for natural enemies, with the added benefit of a short sowing-to-flower time (Bowie et al. 1995). Beneficial hymenopteran species, in particular, benefit from the increased nectar resources available in buckwheat (Ponti et al. 2007; Taki et al. 2009).

Buckwheat has been planted in association with many crops, including blueberry (Walton & Issacs 2011), cabbage (Lee & Heimpel 2005), zucchini squash (as a living mulch) (Frank & Liburd 2005), and apple (Stephens et al. 1998), to increase pollinators, predators, and parasitoids and decrease the damage caused by pests. However, floral resources such as buckwheat can also increase the diversity and abundance of pests, potentially resulting in more crop damage (Baggen & Gurr 1998). Furthermore, intercropping with buckwheat, although affecting pest populations, has not consistently been associated with an increase in marketable yields (Razze et al. 2016). A crucial component of managed diversity is the selective enhancement of beneficial arthropod populations (Landis et al. 2000). Consequently, this study was conducted to quantify the selectivity, measured by the relative abundance of beneficial and pest arthropods, of buckwheat plantings at operational blueberry and vegetable farms in north Florida.

The diversity and abundance of beneficial and pest arthropods were investigated at 2 farms where buckwheat (‘Mancan’ variety, Hancock Seed and Feed, Dade City, Florida) had been planted as a nectar and habitat resource primarily to increase pollinator and natural enemy populations. Both farms were located in Suwannee County in north Florida. One farm (30.295017°N, 82.844151°W) produced blueberries on 5.8 acres (2.35 ha), whereas the other farm (30.379306°N, 83.074704°W) produced certified organic tomatoes, peppers, and cucumbers. At the blueberry farm site, buckwheat was planted in 3 strips, each 2 m in width and 75 m in length, running north to south along the field borders and in the center drive row. In 2014, the vegetable farm study encompassed a tomato planting 92 m in length, rows being planted 1.5 m apart with buckwheat planted adjacent to the exterior rows and in a single interior row, spanning half the length of the row (46 m). During 2015, the study site was split so that 6 rows produced tomato and 6 rows produced bell pepper. Buckwheat was planted between rows 3 and 4 in both the pepper and tomato plantings. The plantings were made on a plastic lining with drip irrigation in three 15 m sections, each alternating with a 15 m unplanted area.

During the growing season (May to Sep) in 2014 and 2015, the buckwheat at both farms was sampled biweekly using a sweep net, 10 sweeps per sample. Nineteen samples from the blueberry farm and 38 samples from the vegetable farm were taken during both growing seasons. This difference in sample size was due to the perennial nature of the blueberry planting, which limited our ability to modify the site layout, restricting the buckwheat plantings to the edge of the grove and in the center drive row; in contrast, the vegetable farm was conducive to planting buckwheat strips directly in the crop rows, allowing the planting of additional sections of buckwheat for sampling. The study began on 1 May and ended on 30 Sep each year. Samples were taken at 9 AM by sweeping the tops of the buckwheat plants. Collections were sent to the University of Florida Entomology and Nematology Department in Gainesville, Florida, for identification to taxonomic family, with particular taxa identified to species.

We characterized the pest and beneficial arthropod diversity and abundance at both farm sites by 1) conducting a general analysis of arthropod community assemblages and associated sampling thoroughness at the sites and 2) determining the abundance of beneficial and pest arthropods by category and taxonomic order. Descriptors for the arthropod assemblages at both sites, including observed and predicted family richness derived via coverage-based extrapolation of observed richness and the Sorenson index, were calculated using R software (R Team 2016) and the R software package iNEXT (Hsieh et al. 2016). To compare beneficial and pest arthropod abundance between sites, taxonomic families were combined into categories (Table 1). A general category of beneficial families was split into 2 subcategories. The first included Hymenoptera in the suborder Apocrita, excluding Formicidae. Members of this subcategory function as pollinators, parasitoids, or predators. The second subcategory contained the non-hymenopteran predators, including the arachnid order Arenae; coleopteran families Cantharidae, Carabidae, and Coccinellidae; dipteran families Syrphidae and Tachinidae; and hemipteran families Anthocoridae, Geocoridae, Nabidae, and Reduviidae. The category for pests was restricted to the order Hemiptera and further divided into 3 subcategories: 1) Pentatomidae and Coreidae, 2) Miridae, and 3) Auchenorrhyncha. These 3 pest subcategories encompassed the major pests of concern to growers at both farms. Other taxa were listed as undetermined if their impact on the crops was not known or considered negligible. This group included potential pest families, such as Acrididae and several phytophagous hemipterans, as well as predators classified in Odonata and Neuroptera.

Table 1.

Mean number (± SD) of specimens in sweep samples taken at north Florida blueberry and vegetable farms in spring 2014 and 2015.

t01a_186.gif

(Continued)

t01b_186.gif

Statistical analysis of pest and beneficial arthropod abundance was performed using the R software package MASS (Venables & Ripley 2002). Abundance data for each category were fitted to a negative binomial generalized linear model selected on the following basis: a) non-normal count data, b) high frequency of zero-counts, and c) overdispersion (Sileshi 2006; O'Hara & Kotze 2010). Each pest or beneficial category and subcategory being tested was fitted to a separate model. The significance of farm type as the explanatory factor for each model was determined by chi-squared tests and analysis of deviance tables.

In total, 1,104 arthropods were collected and identified at least to taxonomic family, with 310 recovered from 19 samples taken at the blueberry farm and 794 from 38 samples collected at the vegetable farm (Table 1). The samples contained 63 insect families and the arachnid order Arenae (spiders), which was included in the analysis as a beneficial predator and treated the same as an insect family. The blueberry farm had an observed insect family richness of 39 and a predicted richness of 52.47. The vegetable farm had an observed richness of 53 families and a predicted richness of 62.96. Site similarity, based on family richness, was intermediate (Sørensen coefficient = 0.59), with 27 observed families shared at both sites. Sample coverage (completeness) was 88.59% for the blueberry farm and 94.45% for the vegetable farm. Standardizing sites on the basis of sampling coverage reduced bias caused by incomplete sampling and differing sample sizes (Chao & Jost 2012). Family richness and sample coverage at both farms had an overlap of 95% confidence intervals, suggesting that family-level richness did not differ significantly at the coverage level obtained by the sampling (Fig. 1).

Fig. 1.

Sample completeness curve for a vegetable farm (dark shaded area, 38 samples) and blueberry farm (light shaded area, 19 samples) in Suwannee County, Florida. The solid line is the interpolated insect family-level richness and the dashed line is the extrapolated richness. The shaded areas represent 95% confidence intervals. Sampling effort is standardized based on the sample completeness (the proportion of sampled families to predicted families) at each sampling level, with the circle representing final sampling completeness of 38 samples taken at the vegetable farm and the triangle representing final sampling completeness of 19 samples taken at the blueberry farm.

f01_186.jpg

Based on the categories of arthropod families, there were significantly (P ≤ 0.05) more beneficial arthropods per sample taken at the blueberry farm than the vegetable farm (fi01_186.gif = 9.16 versus 4.39) and fewer pests (fi01_186.gif = 3.53 versus 12.34) (Table 1). At the subcategory level, significantly more pooled beneficial hymenopteran families per sample were obtained at the blueberry farm (P ≤ 0.05), whereas the non-hymenopteran predatory arthropod subcategory did not differ significantly between farms. The primary difference in pollinators was the family Scoliidae, which accounted for 104 of the 157 hymenopteran pollinators collected at the blueberry farm. Scoliid wasps were the most common non-Apis pollinators visiting buckwheat in north Florida (Campbell et al. 2016). There were more carabids and geocorids at the vegetable farm, mostly Orius spp. Both farms had a relatively high number of spiders (Araneae). Of the 3 pest subcategories (Pentatomidae + Coreidae, Miridae, and Auchenorrhyncha), only the Miridae differed between farms, with significantly greater numbers collected on the vegetable farm. The Miridae consisted almost entirely of the tarnished plant bug Lygus lineolaris (Palisot de Beauvois), which is attracted to buckwheat (Bugg & Ellis 1990) and feeds on tomato (Dixon & Fasulo 2015).

Growers at both farms were especially concerned about stink bugs (Hemiptera: Pentatomidae) and leaf-footed bugs (Hemiptera: Coreidae). The most numerous stink bug species was the redbanded stink bug, Piezodorus guildinii (Westwood), a species strongly associated with leguminous forage and cover crops, such as soybean, crimson clover, and Indigofera species (Fabaceae) (Panizzi & Slanksy 1985). Based on visual scouting, the most abundant leaf-footed bug was Leptoglossus phyllopus (L.). Additionally, Lygaeidae were abundant at both farms but Bibionidae, Calliphoridae, and certain other dipterans were prevalent only at the vegetable farm. Formicidae, Acrididae, and Tettigoniidae were captured more frequently at the blueberry than the vegetable farm.

The authors thank Scott and Billy Rooney and Bradley Hoover, Jr. for allowing us to conduct this research on their farms. Assistance with identifications was provided by Greg Hodges and Eric Leveen (Florida Department of Agriculture and Consumer Services, Division of Plant Industry). The research was supported by a United States Department of Agriculture Southern Sustainable Agriculture Research and Education (SARE) grant, “Establishing and Evaluating Selected Cover Crops on Small Farms to Increase the Impact of Beneficial Arthropods on Crop Pests.”

References Cited

1.

Baggen LR, Gurr GM. 1998. The influence of food on Copidosoma koehleri (Hymenoptera: Encyrtidae), and the use of flowering plants as a habitat management tool to enhance biological control of potato moth, Phthorimaea operculella (Lepidoptera: Gelechiidae). Biological Control 11: 9–17. Google Scholar

2.

Bowie MH, Wratten SD, White AJ. 1995. Agronomy and phenology of “companion plants” of potential for enhancement of insect biological control. New Zealand Journal of Crop and Horticultural Science 23: 423–427. Google Scholar

3.

Bugg RL, Ellis RT. 1990. Insects associated with cover crops in Massachusetts. Biological Agriculture and Horticulture 7: 47–68. Google Scholar

4.

Campbell JW, Irvin A, Irvin H, Stanley-Stahr C, Ellis JD. 2016. Insect visitors to flowering buckwheat, Fagopyrum esculentum (Polygonales: Polygonaceae), in north-central Florida. Florida Entomologist 99: 264–268. Google Scholar

5.

Chao A, Jost L. 2012. Coverage-based rarefaction and extrapolation: standardizing samples by completeness rather than size. Ecology 93: 2533–2547. Google Scholar

6.

Dixon WN, Fasulo TR. 2015. Lygus lineolaris (Palisot de Beauvois) (Insecta: Hemiptera: Miridae). University of Florida, Institute of Food and Agricultural Sciences, Featured Creatures,  http://entnemdept.ufl.edu/creatures/trees/tarnished_plant_bug.htm (last accessed 6 Dec 2016). Google Scholar

7.

Frank DL, Liburd OE. 2005. Effects of living and synthetic mulch on the population dynamics of whiteflies and aphids, their associated natural enemies and insect-transmitted plant diseases in zucchini. Environmental Entomology 34: 857–865. Google Scholar

8.

Gurr GM, Wratten SD, Luma JM. 2003. Multi-function agricultural biodiversity: pest management and other benefits. Basic and Applied Ecology 4: 107–116. Google Scholar

9.

Hsieh TC, Ma KH, Chao A. 2016. iNEXT: iNterpolation and EXTrapolation for species diversity. R software package version 2.0.8. R Foundation for Statistical Computing, Vienna, Austria. Google Scholar

10.

Landis DA, Wratten SD, Gurr GM. 2000. Habitat management to conserve natural enemies of arthropod pests in agriculture. Annual Review of Entomology 45: 175–201. Google Scholar

11.

Lee JC, Heimpel GE. 2005. Impact of flowering buckwheat on lepidopteran cabbage pests and their parasitoids at two spatial scales. Biological Control 34: 290–301. Google Scholar

12.

O'Hara RB, Kotze DJ. 2010. Do not log-transform count data. Methods in Ecology and Evolution 1: 118–122. Google Scholar

13.

Panizzi AR, Slansky F. 1985. Legume host impact on performance of adult Piezodorus guildinii (Westwood) (Hemiptera, Pentatomidae). Environmental Entomology 14: 237–242. Google Scholar

14.

Ponti L, Altieri MA, Gutierrez AP. 2007. Effects of crop diversification levels and fertilization regimes on abundance of Brevicoryne brassicae (L.) and its parasitization by Diaeretiella rapae (M'Intosh) in broccoli. Agricultural and Forest Entomology 9: 209–214. Google Scholar

15.

R Team 2016. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. Google Scholar

16.

Razze JM, Liburd OE, Webb SE. 2016. Intercropping buckwheat with squash to reduce insect pests and disease incidence and increase yield. Agroecology and Sustainable Food Systems 40: 863–891. Google Scholar

17.

Root RB. 1973. Organization of plant arthropods in simple and diverse habitats: the fauna of collards Brassica oleracea. Ecological Monographs 43: 95–124. Google Scholar

18.

Sileshi G. 2006. Selecting the right statistical model for analysis of insect count data by using information theoretic measures. Bulletin of Entomological Research 96: 479–488. Google Scholar

19.

Stephens MJ, France CM, Wratten SD, Frampton C. 1998. Enhancing biological control of leafrollers (Lepidoptera: Tortricidae) by sowing buckwheat (Fagopyrum esculentum) in an orchard. Biocontrol Science and Technology 8: 547–558. Google Scholar

20.

Taki H, Okabe K, Makino S, Yamaura Y, Sueyoshi M. 2009. Contribution of small insects to pollination of common buckwheat, a distylous crop. Annals of Applied Biology 155: 121–129. Google Scholar

21.

Venables WN, Ripley BD. 2002. Modern Applied Statistics with S. Fourth Edition. Springer, New York, New York. Google Scholar

22.

Walton NJ, Isaacs R. 2011. Influence of native flowering plants on natural enemies and herbivores in adjacent blueberry fields. Environmental Entomology 40: 697–705. Google Scholar
Cory Penca, Amanda C. Hodges, Lani Lei L. Davis, Norman C. Leppla, and Robert C. Hochmuth "Abundance and Diversity of Beneficial and Pest Arthropods in Buckwheat on Blueberry and Vegetable Farms in North Florida," Florida Entomologist 100(1), 186-189, (1 March 2017). https://doi.org/10.1653/024.100.0130
Published: 1 March 2017
JOURNAL ARTICLE
4 PAGES


SHARE
ARTICLE IMPACT
Back to Top