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Home All issues Volume 23 / No 2 (March-April 2016) OCL, 23 2 (2016) D204 Full HTML
Open Access
Issue
OCL
Volume 23, Number 2, March-April 2016
Article Number D204
Number of page(s) 7
Section Dossier: Sunflower: some examples of current research / Tournesol : exemples de travaux de recherche
DOI https://doi.org/10.1051/ocl/2016005
Published online 11 March 2016

© N. Cerrutti and C. Pontet, published by EDP Sciences, 2016

Licence Creative CommonsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

In the eighties, sunflower cultivation in France had a tremendous increase. The arable land devoted to this crop was multiplied by 25, increasing from 38 633 to 1 047 649 ha between 1978 and 1987 (Agreste, 1943–2013). Along with oilseed rape, sunflower represents a major entomophilous crop in France which went along with the development of industrial beekeeping. At present time, a lot of professional beekeepers, especially in the regions Centre and Midi-Pyrénées report that sunflower honey production is irregular between years and locations and below the level they knew in the nineties. Unfortunately, no official data are available to provide an overview of the phenomenon and to confirm what is observed in the field.

Table 1

Site location and data collection periods.

A main hypothesis is that poor honey harvests in certain areas could be linked to the cultivation of cultivars with small melliferous potential. Melliferous potential in sunflower cultivars is well studied in Romania in order to help beekeepers to choose their locations and to predict honey yield they can expect according to sunflower cultivar and climatic conditions of the year (Ion et al., 2007). But in France, no references are available for current cultivars according to pedologic and climatic local context. As melliferous characteristics are not considered in breeding programs, great variability can be expected. Breeding programs particularly aim at improving yield level and stability, developing high autogamous hybrids. We can expect as a result non intentional selection towards less melliferous genotypes. Hence, the management of nectar and pollen resources at a territory scale is of particular interest for pollinators which populations and diversity are severely declining worldwide (Biesmeijer et al., 2006; Goulson et al., 2008; Kluser and Peduzzi, 2007; Potts et al., 2010). Pollen diversity is essential to pollinators’ survival and fitness (Di Pascuale et al., 2013; Schmidt et al., 1987). When it comes to nectar, creating cropping systems favorable to pollinators require to diversify rotations, introducing various mass flowering species with long flowering periods such as sunflower, faba bean or buckwheat in order to avoid food shortage which can occur in certain areas and especially before winter (Biesmeijer et al., 2006; Decourtye et al., 2013; Requier et al., 2015). In this context, sunflower is a key to create bee friendly environments. It is a crop bringing nectar and pollen in summertime which allows honeybee colonies to refill their stocks before wintering.

Melliferous potential in a cultivar refers to its ability to produce nectar with high glucidic index which brings a high honey yield (Ion et al., 2007). Nectar accessibility to bees, depending on morphological aspects of the florets such as shape and length must be considered as well. Indeed, flower morphology can represent a physical barrier susceptible to limit pollinator access to nectar resource (Torres and Galetto, 2002). Finally, to be melliferous, a cultivar has to be attractive for honeybees. Visual and olfactive aspects can also play a role in attractiveness in link with nectar reward (Wright and Schiestl, 2009).

On other flower species, literature shows evidence that heritable traits are responsible for variation in plant attractiveness for pollinators (Mitchell, 2003; Mitchell and Shaw, 1993; Wolf et al., 1999). Some physiological traits are directly linked to the nectar resource for example the quantity of nectar produced per floret, the glucidic index, and also the sugar composition (Ion et al., 2007). Other traits are linked to nectar resource accessibility such as corolla length or flower morphology (Atlagić et al., 2003; Torres and Galetto, 2002).

Despite these elements, no studies have been done to assess melliferous potential of sunflower cultivars currently present in France and its variability according to pedoclimatic context. Here is presented a first step to investigate this potential using an original method based on the study of honeybee attendance during flowering period. Attendance, or the number of bee visits on the crop can be considered as an integrative parameter because social bees foraging preferences take in account nectar secretion and pollen quality and resource accessibility (Atlagić et al., 2003; Cook et al., 2003; Cnaani et al., 2006; Tepedino and Parker, 1982).

Table 2

Earliness at flowering for each cultivar according to the trials.

1 Materials and methods

The study was conducted in one site, Le Magneraud (named A, Central west of France) in 2011 and En Crambade (named B, South West near Toulouse) in 2012, and in both sites in 2013 (Tab. 1). A preliminary study was performed the first year, followed by an in-depth study in 2012 and 2013.

1.1 Preliminary study

Forty-five sunflower cultivars were sown randomly in microplots with 3 replicates. Each plot was 32 m2: 10 m long with a row space of 53 cm. Four Apis mellifera L. colonies/ha were settled on the field margin at a distance of 10 m from the first rows. Then, during 11 successive days, honeybee visits were recorded twice a day (10 A.M., 15 P.M.) by counting the number of bees foraging on each microplot during 1 min.

1.2 In-depth study

Further studies were conducted in 2012 (site B), and in 2013 (both sites). On each trial, 13 cultivars were sown. Eleven of them were chosen according to results of preliminary study. Two new cultivars (2 and 8) were added in this study. On each trial, the 13 cultivars were sown randomly with 3 replicates (1248 m2). The surroundings of the trial were planted with a mix of the 13 varieties on a surface of 1300 m2 to avoid blooming period discrepancy between the measured plots and the surroundings. This precaution was taken in order to maximize honeybee attendance on experimental plots and to facilitate observations. On each experimental plot, the number of plants was equalized to 5.5–6 plant per meter. Then, the number of plants was recorded on each plot. Attractive sunflower heads and foraging honeybees were daily counted manually on each plot from the beginning to the end of flowering period. A capitula was considered as attractive when ligulated flowers started to open until all the florets were wilted. To increase foraging density, four Apis mellifera L. colonies/ha were settled on the field margin one week before flowering occured.

1.3 Methodological aspects

For data analyses, statistics were performed on cumulative attendance values of cultivars rather than on daily counts which were found to be non-relevant for comparisons because of: (1) earliness discrepancy between cultivars; (2) variations in climatic conditions and (3) their interactions which contributes to create inequivalent condition for assessment.

1.4 Attendance Index calculation

To summarize honeybee attendance on each cultivar during blooming period, an attendance index was calculated. Expressed in percentage, it represents the total number of honeybee visits in the cultivar during the blooming period relative to the mean number of visits in the whole trial (one site in a given year). This index is calculated as follows:

Attendance index

N = number of cultivars

S (A) = Mean cumulative number of bees/plant for variety

A during blooming period.

1.5 Earliness at Flowering

The flowering initiation dates: opening of ligulate flowers were recorded for cultivars in each trial. Then cultivars were classified in different groups (1, 2 or 3) according to these dates. Class 1 refers to the earliest flowering cultivars. Classification is shown in Table 2.

1.6 Statistical analyses

Statistical analyses were performed using SAS 9.4. The variable of interest is the mean cumulative number of bees.

The linear model is described as follows.

Spearman’s correlation tests were performed to assess the consistency of attractiveness results according to the year and site.

Eventually, the influence of climatic conditions (temperature and rainfall) on daily honeybee attendance on plots was assessed using another linear model:

2 Results

2.1 Flowering durations

Flowering durations were, on average, 22 days in 2013 for site A, 17 and 24 days in 2012 and 2013 respectively for site B (Fig. 1). Values ranged from 11 to 21 days respectively in site B 2012 and site A 2013. Flowering duration appeared to be under the influence of the year (one way ANOVA, p< 0.0001), and the site (p = 0.0136). However, the genetics had no significant influence on this variable (p = 0.99).

thumbnail Fig. 1

Flowering durations of cultivars according to the year and site.

thumbnail Fig. 2

Honeybee attendance in function of the number of plants with open ligulated flowers (trial= 2013 site A) – all varieties are represented.

thumbnail Fig. 3

Number of bees per plant and % of attractive sunflower heads according to the date (trial = 2013 site A).

2.2 Honeybee visits and flowering dynamics

Honeybee attendance is highly correlated to the percentage of attractive sunflower heads in experimental plots (Fig. 2, spearman correlation test, r2 = 0.98). It shows that the number of bees counted is closely linked to the blooming stage of the crop. At the scale of a trial and when expressed in function of the date, these variables design a bell curve showing that honeybee attendance follows temporal variation of the resource available in the field (Fig. 3).

2.3 Honeybee visits and sunflower genetics

In the preliminary study, Attendance Index ranged from 30 to 218% of the trial mean value (Fig. 4). Cultivar number 34 was 7 times more visited that cultivar number 5. Mean Standard deviation between blocs was 4.16%, which is relatively low, indicating that attendance results between replicates is very consistent. The cultivars, whenever their spatial position in the field present very close values of attendance.

thumbnail Fig. 4

Attendance index values for cultivars assessed in preliminary study. Black colored bars correspond to cultivars assessed in 2012 and 2013.

thumbnail Fig. 5

Attendance index values for cultivars assessed in 2012 and 2013 trials. Cultivars 2 and 8 were not assessed in the preliminary study.

Table 3

Mean cumulative number of bees per plant during the blooming period according to year and site.

In in-depth studies, attendance index values ranged from 47 to 148% (Fig. 5). During these experiments, the gap between extreme values was less important than in the preliminary study. Statistical analyses revealed that attendance on plots was significantly influenced by year_site (p< 0.0001), the replicate (p< 0.0134) and the cultivar (p< 0.0001). On the opposite, cultivar earliness had no influence on attendance (p = 0.69). It confirms the significant influence of sunflower genetics on the level of attractiveness for honeybees and allows excluding the hypothesis of a confounding effect with earliness.

Beyond factors inherent to the plants, temperatures and precipitations have an impact on daily attendance on the plots (p = 0.0172 and p< 0.0001 respectively).

Cultivars visitation by honeybees for each trial is summarized in Table 3 and Figure 6. Consistency of results between trials is very high for cultivars 2, 4 and 12 but is very low for other cultivars, especially the cultivar number 3. Spearman’s correlation tests shown in Table 4 demonstrate that the relative rating between trials is consistent even if some cultivars seems to perform differently probably because of genetic x environment interactions.

thumbnail Fig. 6

Mean cumulative number of bees per plant registered for each cultivar according to year and site.

Table 4

Results of spearman correlation tests performed on attendance data from Table 3.

3 Discussion

Sunflower cultivars assessed in this study are differently attractive for honeybees and earliness at flowering is not responsible for the results obtained. Consistency of attendance results between years and locations suggests that Honeybees show stable preference for certain cultivars even if genotypes x environment interactions are to be expected. Although, it is remarkable that noneof the tested cultivars was totally neglected by the insects. However, this selective foraging behavior raises the question of variation in melliferous potential among genotypes i.e. the quality and quantity of nectar provided to honeybees and its accessibility. In the following discussion we will focus on nectar resource because it is involved in honey production and has economic implications even if pollen quality may also influence sunflower attractiveness (Cook et al., 2003).

Frequentation of sunflower plots is the result of colonies’ foraging activity which is based on several behavioural aspects at individual scale and in interaction with peers: (1) visual detection of sunflowers by foragers which is a combined perception of colors, morphological aspects of the capitulates and floral sent; (2) perception of the nectar reward; (3) communication of the food source to other foragers via waggle dance whose characteristics influences the intensity of recruitment. It has been shown that selection of nectar sources by colonies is not the consequence of a centralized collective decision but is simply the result of an increase in foragers recruitment on most profitable sources via modification of waggle dance (De Marco and Farina, 2001; Seely et al., 2000). In this study, plots are so closed from each other’s and the design is so intricate that it seems difficult to consider that attendance levels are the result of recruitment variation inside the field; but it appears clearly that honeybees have the ability to detect and forage preferentially on certain cultivars to the detriment on the others which suggests that they provide more profitable food sources.

For honeybees, nectar profitability is function of nectar concentrations in sugar, sugar composition, but also time spent to collect it which depends on its accessibility in flowers (Wainselboim et al., 2002). Accessibility requires suitable morphological aspects for florets including corolla length, position and shape of stamina etc. As these traits have no agronomic interest, and so many criterions have to be taken into account for pathogen resistance, yield, oil content..., a great variability can be expected concerning profitability of nectar sources in current cultivars. Moreover, with the concern to increase yield stability in the majority of pedoclimatic conditions, sunflower breeding programs may have led to a reduction of their dependence towards entomophilous pollination for grain production. Indeed, high insect dependence for pollination in sunflower represents no value for farmers because it increases crop vulnerability to bad weather condition during blooming period. As a result we could even make the hypothesis that sunflower traits favorable to pollinators have been indirectly counter-selectionned.

Further studies would be necessary to determine sunflower traits which are responsible for attractiveness and their prevalence. But, if linked to melliferous potential, as some studies suggests (Rabinowitch, 1993; Shykoff et al., 1995; Southweek et al., 1981), sunflower attractiveness would be a major lever to activate in order to increase the capacity of a territory to host pollinators and especially Apis mellifera L. Indeed, in certain areas where semi-natural habitats are little represented, mass flowering crops such as sunflower are of particular interest. As a result, maximizing nectar resource at a territory scale by cultivating melliferous sunflower cultivars would have positive implications by increasing honey production and viability of apicultural economic activity and as well as food sources available for all pollinators in the global context of their decline.

Acknowledgments

We thank Sausse de Maurepas, Francis Flenet and Xavier Pinochet for their precious comments on the manuscript.

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Cite this article as: Nicolas Cerrutti, Célia Pontet. Differential attractiveness of sunflower cultivars to the honeybee Apis mellifera L.. OCL 2016, 23(2) D204.

All Tables

Table 1

Site location and data collection periods.

In the text
Table 2

Earliness at flowering for each cultivar according to the trials.

In the text
Table 3

Mean cumulative number of bees per plant during the blooming period according to year and site.

In the text
Table 4

Results of spearman correlation tests performed on attendance data from Table 3.

In the text

All Figures

thumbnail Fig. 1

Flowering durations of cultivars according to the year and site.
In the text
thumbnail Fig. 2

Honeybee attendance in function of the number of plants with open ligulated flowers (trial= 2013 site A) – all varieties are represented.
In the text
thumbnail Fig. 3

Number of bees per plant and % of attractive sunflower heads according to the date (trial = 2013 site A).
In the text
thumbnail Fig. 4

Attendance index values for cultivars assessed in preliminary study. Black colored bars correspond to cultivars assessed in 2012 and 2013.
In the text
thumbnail Fig. 5

Attendance index values for cultivars assessed in 2012 and 2013 trials. Cultivars 2 and 8 were not assessed in the preliminary study.
In the text
thumbnail Fig. 6

Mean cumulative number of bees per plant registered for each cultivar according to year and site.
In the text

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