Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Variations in the Availability of Pollen Resources Affect Honey Bee Health

Abstract

Intensive agricultural systems often expose honey bees (Apis mellifera L.) to large temporal variations in the availability (quantity, quality and diversity) of nutritional resources. Such nutritional irregularity is expected to affect honey bee health. We therefore tested under laboratory conditions the effect of such variation in pollen availability on honey bee health (survival and nursing physiology—hypopharyngeal gland development and vitellogenin expression). We fed honey bees with different diets composed of pollen pellets collected by honey bees in an agricultural landscape of western France. Slight drops (5–10%) in the availability of oilseed rape (Brassica napus L.) pollen resulted in significant reductions of all tested variables. Despite some variations in taxonomic diversity and nutritional quality, the pollen mixes harvested over the season had a similar positive influence on honey bee health, except for the one collected in late July that induced poor survival and nursing physiology. This period coincided with the mass-flowering of maize (Zea mays L.), an anemophilous crop which produces poor-quality pollen. Therefore, changes in bee health were not connected to variations in pollen diversity but rather to variations in pollen depletion and quality, such as can be encountered in an intensive agricultural system of western France. Finally, even though pollen can be available ad libitum during the mass-flowering of some crops (e.g. maize), it can fail to provide bees with diet adequate for their development.

Introduction

Bee species can be classified into two broad categories regarding their pollen diet: specialists, that feed on a few or even a single plant species, and generalists, that forage on a large array of phylogenetically unrelated plant species [1]. Compared to specialists, generalists usually have a better resilience to environmental changes [2]. Honey bees (A. mellifera L.), which are extreme generalist, are thus expected to be able to adapt to anthropogenic landscapes, notably in intensive agricultural ones. However, beekeepers have frequently cited starvation and poor foraging conditions as a significant driver of colony losses [3,4]. In addition, Naug [5] suggested that a nutritional stress due to habitat loss plays an important role in honey bee colony losses. The intensification of agriculture often causes a decrease in the diversity of floral resources due to the destruction of natural habitats and the use of monocultures over large areas, but it also affects the quantity of resources available because the flowering period of a crop is usually short [6].

Such changes in the landscape and thus in spatial and temporal availability of foraging resources can influence colonies as it has long been recognized that a lack of food, in particular pollen dearth, contributes to weaken colonies [7,8]. Indeed, pollen nutrients (proteins, lipids, vitamins and minerals) are essential for colony development and survival [9]. Several studies have shown that complete pollen deprivation can impair the longevity [1013], the development of hypopharyngeal glands (HPGs) (required for the production of brood food) [7,1417], metabolism [1821], immunocompetence [17,22], and tolerance threshold of honey bees to pathogens and pesticides [11,17,2326]. Furthermore, pollen quality and diversity can also affect the size of hypopharyngeal glands and worker longevity [2730]. A reduction of brood rearing combined with a shorter lifespan of adults can directly impact colony populations [8,3134]. Pollen resources in an agricultural landscape may be continuously available, but with considerable variations over a season [3537]. For example, amounts of pollen collected by colonies in an intensive agrosystem in western France follow a very irregular pattern, with a clear depletion period (e.g. 66% decline in pollen harvest) [36,37]. Furthermore, the diversity of pollen species harvested by honey bee colonies shows also considerable temporal variations [6,38,39].

Yet it is not known whether and how the variability of available pollen resources (quantity, quality and diversity) encountered by honey bees in an agricultural landscape influences their health. To improve our knowledge on this question, we first tested under laboratory conditions whether small variation in pollen abundance (as opposed to a total lack of pollen) could significantly affect honey bee health by providing workers with controlled amounts of pollen. Then, by feeding workers with pollen mixes harvested in an intensive agricultural area over different periods, we assessed the influence of diet diversity and quality over time and determined whether or not a particular time period may be critical for honey bees. The impact of the different diets on worker survival and nurse physiology was determined. For that last parameter, we chose to measure the development of HPGs and the level of vitellogenin as both are nutritionally regulated via pollen intake and reach a peak at the nurse stage before declining when transitioning to a forager stage [10,40,41]. Nurses secrete 60 to 80% of the brood diet from their HPGs, providing a secretion rich in protein for larvae [42]. Vitellogenin is a multifunctional lipoprotein [43] synthetized in the fat body, acting as an antioxidant to promote longevity in both queen and workers [44,45], and it is also used by nurses for the production of brood food [43,46].

Materials and Methods

Honey bee rearing and pollen feeding

Experiments were conducted in 2013, in Avignon (France), with colonies of hybrid honey bees (A. m. ligustica x A. m. mellifera) (no specific permissions were required for these species, locations or activities). One-day-old bees were obtained from three colonies by placing brood combs with late-stage pupae in an incubator at 34°C and 60–70% relative humidity. Bees that emerged within 10 hours were collected, mixed and placed in cages (10.5 cm x 7.5 cm x 11.5 cm) in an incubator at 34°C and 60–70% relative humidity. They were provided ad libitum with candy (Apifonda ® + powdered sucrose) and water throughout the experiment. Diets were prepared from bee-collected pollen pellets and supplied to the workers from day 1 to 9. This period of pollen feeding covers the normal pollen-consumption and nursing periods of workers in colonies [10]. Each day, pollen diets were weighed for each cage to determine the amount of pollen consumed per day and per bee. The amount of pollen was adjusted daily to the number of surviving workers (more than 90% during period between day 1 and 9, see the results). Dead bees were counted daily and removed from the cages until the end of the experiment.

Influence of a pollen depletion on nurse physiology and survival.

To test whether small variations in pollen abundance could significantly affect honey bees, we fed workers with controlled amount of oilseed rape pollen. We determined nurse physiology and survival along a range of decreasing pollen quantities: 100%, 40%, 30%, 20%, 15%, 7% and 0%. The 100% treatment corresponded to the pollen quantity provided daily under the ad libitum feeding condition. This quantity was determined with a preliminary experiment, done the week before this experimentation (average of 3.78 mg/worker/day; SD = +/- 0.27 mg; N = 10 cages of 50 bees, data not shown). The amount of pollen consumed by the bees of this 100% treatment amounted to an average of 3.55 mg/worker/day (SD = +/- 0.18 mg, data not shown). To all other treatments, the amounts of pollen provided were fully consumed. Cohorts of 44 one-day old workers were reared in cages and fed with one of the pollen treatment. Each treatment condition was replicated ten times. The pollen of oilseed rape (F1 hybrid ‘NK Fair’, Syngenta) was used because of its common occurrence in cereal farmland systems [36]. This pure pollen was collected by colonies on plants grown under two 24 m long x 8 m wide plastic tunnels. The tunnels openings were covered with an insectproof screen to prevent any contamination by pesticides or other pollen types while two honey bee colonies were introduced in the tunnels at the onset of flowering and continuously fitted with bottom pollen traps that were emptied daily. These pollen pellets were stored for one year at—20°C until use and such pollen retains its nutritional value [16].

Influence of seasonal diversity and quality of pollen in mixes on nurse physiology and survival.

In this experiment, we tested under laboratory conditions the effects of pollen mixes collected by colonies in an agricultural landscape of western France. The farming landscape was composed of 11% grassland, 26% sunflower (Helianthus annuus), 5% oilseed rape, and 4% maize in a 2500 m radius area wise. Fodder crops are permanent or temporary based on legumes or grasses. The different pollen mixes collected over the different seasons were obtained with pollen traps from experiments conducted in 2006 [36] and they were all frozen fresh after harvest. Workers were fed with the 6 pollen mixes made of pollen pellets collected from early May to late September in an apiary located in western France at 46 ° 09′ 13″ N; 0 ° 41′ 20″ W (Fig 1 and S2 Table). Each pollen mix was provided ad libitum (20 mg/bee/day, to avoid a bias caused by a possible dearth of pollen) to the workers (10 cages of 47 workers per diet). The protein and lipid contents of the different mixes were determined after the pollen was dried for 24 h at 75°C [35] and the protein and lipid contents were expressed as % of dry matter (Fig 1). The protein content was determined by Kjeldahl analysis (N x 6.25) using a Vapodest 45 (Gerhardt) and according to the procedure ISO 5983–2 norm [47] (INRA-EASM, Surgères, France). After treating pollen with 6 N hydrochloric acid, total lipids were extracted with a chloroform/methanol mixture (2:1, v/v) following the procedure of Folch et al. [48]. The presence of pesticide residues in the different pollen diets was checked by chemical analysis (Phytocontrol laboratory, Nîmes, France) performed by gas and liquid chromatographies coupled with mass spectrometry (limit of quantification of 0.01 mg/kg and limit of detection of 0.005 mg/kg) [49]. The samples were analysed for 348 pesticides (S1 Table).

thumbnail
Fig 1. Volume composition and quality of seasonal pollen mixes harvested in an agricultural landscape of western France (46 ° 09′ 13″ N; 0° 41′ 20″ W).

Protein and lipid levels, and Shannon Weaver index were calculated for each mix. Pollen protein and lipid are expressed as % of dry matter. Name of species written in red are the main crop species, in blue the fodder species, and in black the wild flowers species.

https://doi.org/10.1371/journal.pone.0162818.g001

Finally, to estimate the diversity of pollen mixes, we calculated the Shannon Weaver index for each mix, as where pi was the proportion of each pollen type by volume represented in the mixture [50]. The Shannon index increases as the species richness increases, with no upper limits although it is rarely greater than 4 in most ecological studies.

Physiological analysis

For both experiments, 3 workers by cage were flash frozen in liquid nitrogen at day 10, and their heads and abdomens were separated and stored at– 80°C. Then, the right and left HPGs were dissected on ice in 100 μl of physiological serum (0.9% NaCl w/v) and analysed with an optical microscope linked to a camera (CF 11 DSP, Kappa). The maximum diameter of 15 haphazardly chosen acini by gland was used to determine the development of HPGs (n = 30 acini by bee). This was performed with the Saisam 5.0.1 software (Microvision). The 3 abdomens from the 3 workers by cage were pooled. After RNA isolation, the expression level of vitellogenin was determined by quantitative RT-PCR using a StepOne-Plus Real-Time PCR Systems (Applied Biosystems) and the SYBR green detection method and vitellogenin expression was normalized to the housekeeping genes Actin and eIF3-S8 [51]. The influence of pollen depletion and seasonal mixes on worker survival was studied on the remaining bees. Dead bees were counted daily and removed from the cages until the last worker died. The bee mortality was followed for 60 days [52], which allowed us to analyse 99.9% of 2870 bees involved in the experiment on the influence of a pollen depletion. But during the following experiment with pollen mixes, mortalities occurred over a longer period, so the duration of observations was increased to 90 days. Survival analysis was then performed on the 98.3% of the 2640 bees used in the experiment on the influence of seasonal diversity and quality of pollen mixes.

Statistical analysis

Since HPGs sizes were not normally distributed, the effects of pollen diet on this variable were determined using Kruskal-Wallis tests followed by Wilcoxon tests with Bonferroni correction to assess pairwise differences between diet treatments. Vitellogenin expression followed a normal distribution, and we used a one-factor ANOVA followed by Tukey post-hoc tests. For analysing the influence of feeding treatments on bee survival, the number of dead bees per day and cage throughout the experiments (60 or 90 days) were transformed in a survival table. A Cox proportional hazards regression model was then used to compare the different treatments, with R functions (coxph) and the package [survival] [53]. Cox models are semi-parametric analyses specifically designed to test the effect of covariates on the time lapse before the occurrence of mortality. Finally, differences in the consumption of seasonal mixes were analysed using a Kruskal-Wallis test followed by Wilcoxon tests with Bonferroni correction. All analyses were performed with the statistical software R [54].

Results

Influence of a pollen depletion on nurse physiology and survival

Worker survival was highly dependent on the amount of pollen available. The more pollen the honey bees received, the longer they lived, with all quantitative treatments being different from each other (Cox proportional hazards regression model, p < 0.001, Fig 2).

thumbnail
Fig 2. Effect of pollen depletion on worker survival.

Data show the percentages of surviving workers over 60 days (n = 10 cohorts per treatment) according to the amount of pollen available (by weight in %). Different letters denote significant differences (p < 0.001, Cox proportional hazards regression model).

https://doi.org/10.1371/journal.pone.0162818.g002

The size of the HPGs and the expression level of vitellogenin were significantly affected by the quantity of oilseed rape pollen consumed (HPGs: Kruskal-Wallis H = 160.70, p < 0.001, Fig 3A; vitellogenin: F = 24.51; df = 6, 60; p < 0.001, Fig 3B). The acini size and the level of vitellogenin also increased gradually with the amount of available pollen. However, workers that received the lowest amount of pollen (7%) had glands that did not differ in size from those that had a pollen-free diet. Similarly, low quantity of pollens (7 to 30%) did not induce significant changes in vitellogenin levels compared to bees that received no pollen at all.

thumbnail
Fig 3. Effects of oilseed rape pollen depletion on (A) the diameter of hypopharyngeal gland acini and (B) vitellogenin expression levels, in honey bees.

Box plots are shown for 30 workers (acini) and 10 pools of 3 bees (vitellogenin) for each diet treatment. Different letters indicate significant differences between pollen quantities (p < 0.001, Wilcoxon tests with Bonferroni correction for HPGs and Tukey post-hoc tests for vitellogenin expression levels, respectively). Boxes show 25th and 75th percentiles range with the line denoting the median. Whiskers encompass 90% of the individuals, beyond which outliers are represented by dots.

https://doi.org/10.1371/journal.pone.0162818.g003

Influence of seasonal diversity and quality of pollen in mixes on nurse physiology and survival

The levels of proteins and lipids in the different pollen mixes ranged from 17 to 29% and from 7 to 14%, respectively, with the mix of “late July” having the lowest pollen quality (Fig 1). Pollen mixes from “late July” were essentially composed of pollens types from crops as compared with others periods, for which pollen was mainly from wild flowers. The Shannon-Weaver index ranged between 1.13 and 2.51. The diversity of pollen mixes varied among periods, but there was no clear decrease at a given period. The “late July” pollen was not the one with the lowest diversity index. Finally, some pesticide residues (fungicides and herbicides) above the detection limit were found in the pollen mix from different seasonal periods (Table 1). However, no residue was detected in the “late July” mix.

thumbnail
Table 1. Pesticide residues in the seasonal pollen mixes.

https://doi.org/10.1371/journal.pone.0162818.t001

Pollen mixes were provided ad libitum, but were not consumed equally by workers (Kruskal-Wallis, H = 46.64, p < 0.001, Fig 4). Notably, the mix from “late July” was poorly consumed (less than 4 mg/bee/day), but its average consumption was not different from the mix of “early May” and “early June”.

thumbnail
Fig 4. Amounts of the different pollen mixes consumed per bees.

Box plots are shown for 10 cages per treatment. Different letters indicate significant differences between the amounts of pollen consumed (p < 0.001, Wilcoxon test with Bonferroni correction). Boxes show 25th and 75th percentiles range with line denoting the median. Whiskers encompass 90% of the individuals, beyond which outliers are represented by dots.

https://doi.org/10.1371/journal.pone.0162818.g004

Most pollen mixes induced slight changes in worker survival but there was no clear link between the species richness of pollen mixes and bee survival (Figs 1 and 5). However, workers provided with the “late July” mix exhibited a dramatic reduction in longevity compared to all others mixes. Similarly, the HPGs development and vitellogenin expression were the lowest in the workers fed with the “late July” mix (Kruskal-Wallis, H = 31.35, p < 0.001, Fig 6A and F = 5.01; df = 6, 62; p < 0.001, Fig 6B, respectively). “Early June”, “late August” and “late September” mixes gave the largest acini, but there was no difference in vitellogenin expression between the different mixes besides the one of “late July”.

thumbnail
Fig 5. Influence of different seasonal pollen mixes on bee survival.

Data show the percentages of surviving workers over 90 days (n = 10 repetitions per treatment). Different letters denote significant differences (p < 0.001, Cox proportional hazards regression model).

https://doi.org/10.1371/journal.pone.0162818.g005

thumbnail
Fig 6. Influence of different seasonal pollen mixes on (A) the diameter of hypopharyngeal gland acini and (B) the vitellogenin expression levels, in honey bee workers.

Box plots are shown for 30 bees (acini) and 10 pools of 3 bees (vitellogenin) per diet treatment. Different letters indicate significant differences between pollen quantities (p < 0.001 based upon Wilcoxon tests with the Bonferroni correction for HPGs and Tukey post-hoc tests for vitellogenin expression levels). Boxes show 25th and 75th percentiles range with the line denoting median. Whiskers encompass 90% of the individuals, beyond which outliers are represented by dots.

https://doi.org/10.1371/journal.pone.0162818.g006

Discussion

Despite the extreme flexibility of their pollen-foraging behavior and the considerable breadth of their pollen diet, honeybee colonies are often reported as under stress in intensive agricultural landscape [37]. However, the extent to which the modifications of the floral resources affect workers is not easy to analyse. Indeed, there are many other sources of variability beyond resource availability and quality, that can affect workers in the field, such as climate, pests and diseases, and pollutants in general and pesticides in particular [5559]. Here, by feeding workers under controlled conditions with field-collected pollen pellets diets using a standard protocol, we were able to assess the effects of some components of the nutritional stress associated with an agrosystem on honey bee health.

Influence of pollen depletion on nurse physiology and survival

Variations in pollen availability are commonly observed in intensive agricultural landscapes between the flowering periods of mass-flowering crops such as oilseed rape and sunflower [37,60]. It is well-established that pollen intake is important for worker survival [10,13,30], but less is known about the impact of small variation in pollen abundance. We found here that slight reductions in pollen availability significantly reduced worker survival under laboratory conditions. As an example, a decrease of pollen consumption of 10% caused an average decrease of 2–3 days in bee longevity, indicating that worker longevity is highly dependent on the amount of available pollen (Fig 2). Nursing physiology was also affected by a gradual reduction in pollen availability. Our results indicate that the rearing capacities of nurse honey bees are impacted by pollen availability because the development of the HPGs is highly dependent on protein intake (Fig 3A) [7,16]. Thus, it might not be surprising to find that the more pollen workers consumed, the more proteins were directed to the acini. Fernandes-da-silva and Zucoloto [61] also tested the effect of pollen on the development of HPGs in the stingless bee Scaptotrigona depilis Moure (Hymenoptera, Apidae). By testing three amounts of pollens (0.25 g, 0.50 g and 0.75 g for 8 days), they found that the two lowest amounts were not sufficient for a good development of the glands. Based on these results, they calculated that at least 0.80 mg pollen/bee/day is necessary to provide sufficient gland development, which was equivalent to the 20% treatment in our tests. But in honey bees, access to only 20% of the full pollen intake resulted in a poor development of the HPGs.

Similarly, the vitellogenin expression tended to increase gradually with the amount of pollen available. Bitondi and Simoes [62] tested the effects of 0%, 15% and 50% of pollen diet on vitellogenin expression level in Africanized honey bees. They found that workers that received 50% of pollen had more vitellogenin than those that received no pollen or only 15% of pollen. This is consistent with our results because the workers that received 15% and 40% of pollen expressed significant differences in vitellogenin expression. Altogether, those results show that some honey bee life traits (e.g. longevity, nursing physiology) are highly sensitive to minor changes in pollen availability.

Influence of seasonal diversity and quality of pollen in mixes on nurse physiology and survival

Pollen diversity has been shown to provide honey bees with a more adequate diet than a monotonous regime [22,27,30]. Therefore, we would expect that beneficial effects on bee health increase as the pollen species richness increases. However, despite important changes in pollen composition of the mixes over the seasons (Fig 1), survival and nursing physiology were only weakly affected by the different mixes and those changes were not linked to the pollen diet diversity. This suggests that among our pollen mixes other nutritional factors are more important than pollen species richness. For example, the “late July” mix consistently caused a significant reduction of longevity and nursing physiology. Those negative effects could be attributed neither to the presence of pesticide residues since this pollen mixture was the only one that was not contaminated (at a detection limit of 0.005 mg/kg), nor to its diversity index, which was above those of two others diets. Another explanation was that our pollen was stored seven years in freezer when we tested it, but a study of Dietz and Stevenson [63] showed that the nutritional value of fresh pollen frozen and stored in a freezer for one year and fresh pollen frozen and stored for 11 years were similar in regards to brood rearing. And all our mixes were stored 7 years. The “late July” mix was among the least consumed with “early May” and “early June”, but the last two mixes were those which cause the better survival to bees that have consumed them. However, this “late July” mix had the lowest protein and lipid contents, both of which are essential for worker health [16,64]. The “late July” period corresponded to the flowering of maize in the area where the pollen was harvested, as confirmed by the presence of 69.8% of maize pollen by volume in the mix (Fig 1). Maize produces pollen of poor nutritional quality as it is deficient in histidine (an essential amino acid for honey bees [65]), although the amount of other essential amino acids can be high [16,66]. The high prevalence of this pollen type in the “late July” mix likely accounts for the low quality of this diet. Jacobs [67] showed that consumption of maize pollen had a negative impact on the longevity of honey bee workers reared in cages. Similarly, Höcherl et al. [66] observed that bees fed with maize pollen show a reduction in brood rearing ability and lifespan. However, they did not find an effect on bee immunocompetence. As indicated by our results, the lower brood rearing ability [66] could be due to the poor HPGs development and vitellogenin expression. The availability of different floral resources is expected to compensate for the low quality of specific pollens [30]. However, the predominance of maize pollen in this collection period may not have allowed for such compensation phenomenon to take place here. It seems that despite its low nutritional quality, this pollen is very attractive for colonies during this period of late July because it is abundant and can be easily harvested [68].

The variability of nutritional resources in agricultural landscapes can expose honey bees to reduced pollen availability and/or deficiency in diet quality. As a consequence, such nutritional stresses can directly impact worker longevity and nursing physiology, and thereby nursing capacities, as observed in our laboratory conditions. If confirmed under field conditions, a reduction of brood rearing capacity combined with a shorter lifespan of adults workers could directly impact colony population [8,3134], and potentially lead to a higher turn-over between cohorts of workers and a suboptimal brood rearing by malnourished nurses [69]. Providing bees with a greater diversity of floral resources, such as with nearby flower strips, fallow land, or semi-natural habitats, represents one way to overcome nutritional stress across the seasons [6].

Supporting Information

S1 Table. List of pesticides analysed in all pollen (limit of quantification of 0.01 mg/kg and limit of detection of 0.005 mg/k).

https://doi.org/10.1371/journal.pone.0162818.s001

(XLSX)

S2 Table. Nutritional and palynological composition of the seasonal pollen mixes (pollen types and percentage of pollen grains by volume).

https://doi.org/10.1371/journal.pone.0162818.s002

(XLSX)

Acknowledgments

The authors would like to thank all persons who participated in obtaining the pollens used in experiments and the referees for comments that greatly improved the manuscript.

Author Contributions

  1. Conceptualization: GDP AD CA LPB YLC.
  2. Data curation: GDP.
  3. Formal analysis: MP GDP.
  4. Funding acquisition: AD CA LPB YLC.
  5. Investigation: GDP.
  6. Methodology: GDP CA AD LPB YLC.
  7. Project administration: GDP AD CA LPB YLC.
  8. Resources: GDP AD CA BEV JFO LPB YLC.
  9. Software: MP GDP.
  10. Supervision: GDP AD CA LPB YLC.
  11. Validation: GDP AD CA LPB YLC.
  12. Visualization: GDP AD CA LPB YLC.
  13. Writing – original draft: GDP.
  14. Writing – review & editing: GDP AD CA BEV JFO MP LPB YLC.

References

  1. 1. Cane J, Sipes S. Characterizing floral specialization among bees: analytical methods and a revised lexicon for oligolecty. in Waser NM, Ollerton J (eds) Plant-pollinator interactions: from specialization to generalization University of Chicago Press. 2006; 99–122.
  2. 2. Biesmeijer JC, Roberts SPM, Reemer M, Ohlemuller R, Edwards M, Peeters T et al. Parallel Declines in Pollinators and Insect-Pollinated Plants in Britain and the Netherlands. Science. 2006; 313: 351–354. pmid:16857940
  3. 3. Otis GW. Comments about colony collapse disorder. Am Bee J. 2007; 147: 1033–1035.
  4. 4. Van Engelsdorp D, Underwood R, Caron D, Hayes J. An estimate of managed colony losses in the winter of 2006–2007. Am Bee J. 2007; 147: 599–603.
  5. 5. Naug D. Nutritional stress due to habitat loss may explain recent honeybee colony collapses. Biological Conservation. 2009; 142: 2369–2372.
  6. 6. Decourtye A, Mader E, Desneux N. Landscape enhancement of floral resources for honey bees in agro-ecosystems. Apidologie. 2010;41: 264–277.
  7. 7. Maurizio A. The influence of pollen feeding and brood rearing on the length of life and physiological condition of the honeybee. Bee World. 1950; 31: 9–12.
  8. 8. Mattila HR, Otis GW. The effects of pollen availability during larval development on the behaviour and physiology of spring-reared honey bee workers. Apidologie. 2006; 37: 533–546.
  9. 9. Brodschneider R, Crailsheim K. Nutrition and health in honey bees. Apidologie. 2010; 41: 278–294.
  10. 10. Haydak M. Honey bee nutrition. Annual Review of Entomology. 1970; 15: 143–156.
  11. 11. Rinderer TE, Elliott KD. Worker honey bee response to infection with Nosema apis: influence of diet. Journal of Economic Entomology. 1977; 70: 431–433.
  12. 12. Smeets P, Duchateau MJ. Longevity of Bombus terrestris workers (Hymenoptera: Apidae) in relation to pollen availability, in the absence of foraging. Apidologie. 2003; 34: 333–337.
  13. 13. Wang H, Zhang SW, Zeng ZJ, Yan WY. Nutrition affects longevity and gene expression in honey bee (Apis mellifera) workers. Apidologie. 2014; 45: 618.
  14. 14. Loper GM, Berdel RL. The Effects Of Nine Pollen Diets On Broodrearing Of Honeybees. Apidologie. 1980; 11: 351–359.
  15. 15. Loper G.M. B RL. A Nutritional Bioassay Of Honeybee Brood-Rearing Potential. Apidologie. 1980; 11: 181–189.
  16. 16. Pernal SF, Currie RW. Pollen quality of fresh and 1-year-old single pollen diets for worker honey bees (Apis mellifera L.). Apidologie. 2000; 31: 387–409.
  17. 17. DeGrandi-Hoffman G, Chen YP, Huang E, Huang MH. The effect of diet on protein concentration, hypopharyngeal gland development and virus load in worker honey bees (Apis mellifera L.). Journal of Insect Physiology. 2010; 56: 1184–1191. pmid:20346950
  18. 18. Toth AL, Kantarovich S, Meisel AF, Robinson GE. Nutritional status influences socially regulated foraging ontogeny in honey bees. Journal of Experimental Biology. 2005; 208: 4641–4649. pmid:16326945
  19. 19. Fischer P, Grozinger CM. Pheromonal regulation of starvation resistance in honey bee workers (Apis mellifera). Naturwissenschaften. 2008; 95: 723–729. pmid:18414825
  20. 20. Willard LE, Hayes AM, Wallrichs MA, Rueppell O. Food manipulation in honeybees induces physiological responses at the individual and colony level. Apidologie. 2011; 42: 508–518.
  21. 21. Alaux C, Dantec C, Parrinello H, Le Conte Y. Nutrigenomics in honey bees: digital gene expression analysis of pollen's nutritive effects on healthy and varroa-parasitized bees. BMC genomics 2011; 12.
  22. 22. Alaux C, Ducloz F, Crauser D, Le Conte Y. Diet effects on honeybee immunocompetence. Biology Letters. 2010; 6: 562–565. pmid:20089536
  23. 23. Rinderer TE, Rothenbuhler WC, Gochnauer TA. The influence of pollen on the susceptibility of honey-bee larvae to Bacillus larvae. Journal of invertebrate pathology 1974; 23: 347–350. pmid:4833177
  24. 24. Wahl O, Ulm K. Influence of pollen feeding and physiological condition on pesticide sensitivity of the honey bee Apis mellifera carnica. Oecologia. 1983; 59: 106–128. pmid:25024157
  25. 25. Bowen-Walker PL, Gunn A. The effect of the ectoparasitic mite, Varroa destructor on adult worker honeybee (Apis mellifera) emergence weights, water, protein, carbohydrate, and lipid levels. Entomologia Experimentalis Et Applicata. 2001; 101: 207–217.
  26. 26. Mayack C, Naug D. Energetic stress in the honeybee Apis mellifera from Nosema ceranae infection. Journal of invertebrate pathology. 2009; 100: 185–188. pmid:19135448
  27. 27. Schmidt JO. Feeding preferences of Apis-mellifera L. (Hymenoptera, Apidae)—Individual versus mixed pollen species Journal of the Kansas Entomological Society. 1984; 57: 323–327.
  28. 28. Schmidt JO, Thoenes SC, Levin MD. Survival of honey-bees, Apis-mellifera (Hymenoptera, Apidae) fed various pollen sources Annals of the Entomological Society of America. 1987; 80: 176–183.
  29. 29. Tasei JN, Aupinel P. Nutritive value of 15 single pollens and pollen mixes tested on larvae produced by bumblebee workers (Bombus terrestris, Hymenoptera: Apidae). Apidologie. 2008; 39: 397–409.
  30. 30. Di Pasquale G, Salignon M, Le Conte Y, Belzunces LP, Decourtye A, Kretzschmar A, et al. Influence of Pollen Nutrition on Honey Bee Health: Do Pollen Quality and Diversity Matter? Plos One. 2013; 8: (8): e72016. pmid:23940803
  31. 31. Blaschon B, Guttenberger H, Hrassnigg N, Crailsheim K. Impact of bad weather on the development of the broodnest and pollen stores in a honeybee colony (Hymenoptera: Apidae). Entomologia Generalis. 1999; 24: 49–60.
  32. 32. Schmickl T, Blaschon B, Gurmann B, Crailsheim K. Collective and individual nursing investment in the queen and in young and old honeybee larvae during foraging and non-foraging periods. Insect Soc. 2003; 50: 174–184.
  33. 33. Keller I, Fluri P, Imdorf A. Pollen nutrition and colony development in honey bees: part I. Bee World. 2005; 86: 3–10.
  34. 34. Girard M, Chagnon M, Fournier V. Pollen diversity collected by honey bees in the vicinity of Vaccinium spp. crops and its importance for colony development. Botany-Botanique. 2012; 90: 545–555.
  35. 35. Louveaux J. Recherches sur la récolte du pollen par les abeilles (Apis mellifera L.). Annales de l'abeille. 1959; 2.
  36. 36. Odoux JF, Feuillet D, Aupinel P, Loublier Y, Tasei JN, Mateescu C. Territorial biodiversity and consequences on physico-chemical characteristics of pollen collected by honey bee colonies. Apidologie. 2012; 43: 561–575.
  37. 37. Requier F, Odoux J-F, Tamic T, Moreau N, Henry M, Decourtye A, et al. Honey bee diet in intensive farmland habitats reveals an unexpectedly high flower richness and a major role of weeds. Ecological Applications. 2015; 25: 881–890. pmid:26465030
  38. 38. Wratten SD, Gillespie M, Decourtye A, Mader E, Desneux N. Pollinator habitat enhancement: Benefits to other ecosystem services. Agr Ecosyst Environ. 2012; 159: 112–122.
  39. 39. Dimou M, Thrasyvoulou A. Pollen analysis of honeybee rectum as a method to record the bee pollen flora of an area. Apidologie. 2009; 40: 124–133.
  40. 40. Crailsheim K, Schneider LHW, Hrassnigg N, Buhlmann G, Brosch U, Gmeinbauer R, et al. Pollen consumption and utilization in worker honeybees (Apis-mellifera-carnica) dependance on individual age and function Journal of Insect Physiology. 1992; 38: 409–419.
  41. 41. Amdam GV, O W. S. The Regulatory Anatomy of Honeybee Lifespan. Journal of Theoretical Biology. 2002; 216: 209–228. pmid:12079372
  42. 42. Winston ML The Biology of the Honey Bee. University Press, Cambridge.1987.
  43. 43. Amdam GV, Norberg K, Hagen A, Omholt SW. Social exploitation of vitellogenin. Proceedings of the National Academy of Sciences of the United States of America. 2003; 100: 1799–1802. pmid:12566563
  44. 44. Seehuus SC, Norberg K, Gimsa U, Krekling T, Amdam GV. Reproductive protein protects functionally sterile honey bee workers from oxidative stress. Proceedings of the National Academy of Sciences of the United States of America. 2006; 103: 962–967. pmid:16418279
  45. 45. Corona M, Velarde RA, Remolina S, Moran-Lauter A, Wang Y, Hughes KA, et al. Vitellogenin, juvenile hormone, insulin signaling, and queen honey bee longevity. Proceedings of the National Academy of Sciences of the United States of America. 2007; 104: 7128–7133. pmid:17438290
  46. 46. Seehuus SC, Norberg K, Krekling T, Fondrk K, Amdam GV. Immunogold localization of vitellogenin in the ovaries, hypopharyngeal glands and head fat bodies of honeybee workers, Apis mellifera. Journal of Insect Science 2007; 7.
  47. 47. ISO5983 Animal feeding stuffs. Determination of nitrogen content and calculation of crude protein content Kjeldahl method. Switzerland, Geneva: International Organization for Standardization. 1997.
  48. 48. Folch J, Lees M, Sloane Stanley GH. A simple method for the isolation and purification of total lipides from animal tissues. J Biol Chem. 1957; 226: 497–509. pmid:13428781
  49. 49. AFNOR15662 Foods of plant origin: Method versatile determination of pesticide residues by GC-MS and SL / SM / MS extraction / partition with acetonitrile and cleaned by SPE dispersed. 2009.
  50. 50. Shannon CE, Weaver W. The Mathematical Theory of Communication. University of Illinois Press, Urbana. 1949
  51. 51. Alaux C, Crauser D, Pioz M, Saulnier C, Le Conte Y. Parasitic and immune modulation of flight activity in honey bees tracked with optical counters. Journal of Experimental Biology. 2014; 217: 3416–3424. pmid:25063861
  52. 52. Dechaume Moncharmont F-X, Decourtye A, Hennequet-Hantier C, Pons O, Pham-Delegue MH. Statistical analysis of honeybee survival after chronic exposure to insecticides Environmental Toxicology and Chemistry. 2003; 22: 3088–3094. pmid:14713054
  53. 53. Cox DR. Regression models and life tables. Biometrics. 1972; 38: 67–77.
  54. 54. The comprehensive R archive Network website. 2013. Available http://wwwR-projectorg/.
  55. 55. VanEngelsdorp D, Evans JD, Saegerman C, Mullin C, Haubruge E, Nguyen BK, et al. Colony Collapse Disorder: A Descriptive Study. Plos One. 2009; 4(8): e6481. pmid:19649264
  56. 56. VanEngelsdorp D, Meixner MD. A historical review of managed honey bee populations in Europe and the United States and the factors that may affect them. Journal of Invertebrate Pathology. 2010; 103: S80–S95. pmid:19909973
  57. 57. Lambert O, Piroux M, Puyo S, Thorin C, L'Hostis M, Wiest L, et al. Widespread occurrence of chemical residues in beehive matrices from apiaries located in different landscapes of Western France. Plos One. 2013; 8(6): e67007. pmid:23799139
  58. 58. Mullin CA, Frazier M, Frazier JL, Ashcraft S, Simonds R, vanEngelsdorp D, et al. High levels of miticides and agrochemicals in north american apiaries: implications for honey bee health. Plos One. 2010; 5(3): e9754. pmid:20333298
  59. 59. Ravoet J R W, de Graaf DC. Pesticides for Apicultural and/or Agricultural Application Found in Belgian Honey Bee Wax Combs. Bull Environ Contam Toxicol. 2015.
  60. 60. Steffan-Dewenter I, Kuhn A. Honeybee foraging in differentially structured landscapes. Proceedings of the Royal Society B. 2003; 270: 569–575. pmid:12769455
  61. 61. Fernandes-da-silva PG, Muccillo G, Zucoloto FS. Determination of minimum quantity of pollen and nutritive-value of different carbohydrates for Scaptotrigona-depilis Moure (Hymenoptera, Apidae) Apidologie. 1993; 24: 73–79.
  62. 62. Bitondi MMG, Simoes ZLP. The relationship between level of pollen in the diet, vitellogenin and juvenile hormone titres in Africanized Apis mellifera workers. Journal of Apicultural Research. 1996; 35: 27–36.
  63. 63. Dietz A, Stevenson HR. Influence of long term storage on the nutritional value of frozen pollen for brood rearing of honey bees. Apidologie. 1980; 11: 143–151.
  64. 64. Manning R. Fatty acids in pollen: a review of their importance for honey bees. Bee World. 2001; 82: 60–75.
  65. 65. deGroot AP. Protein and amino acid requirements of the honey bee (Apis mellifica L.). Physiol Comp Oecol. 1953; 3:197–285.
  66. 66. Hocherl N, Siede R, Illies I, Gatschenberger H, Tautz J. Evaluation of the nutritive value of maize for honey bees. Journal of Insect Physiology. 2012; 58: 278–285. pmid:22172382
  67. 67. Jacobs F. Impact de l’alimentation en pollens sur la longévité de l’abeille. Compte-rendu du 1er Colloque technique apicole Roissy. BASF Agro (ed.), Ecully, France. 2004; 57–67.
  68. 68. Vaissière BE, Vinson SB. Pollen morphology and its collection effectiveness by honey bees, Apis mellifera L. (Hymenoptera: Apidae), with special reference to upland cotton, Gossypium hirsutum L. (Malvaceae). Grana. 1994; 33: 128–138.
  69. 69. Loper GM, Berdel RL. A Nutritional Bioassay Of Honeybee Brood-Rearing Potential. Apidologie. 1980; 11: 181–189.