Colony development of two Carniolan genotypes (<i>Apis mellifera carnica</i>) in relation to environment

Dražić, Marica Maja; Filipi, Janja; Prđun, Saša; Bubalo, Dragan; Špehar, Marija; Cvitković, Denis; Kezić, Dubravko; Pechhacker, Hermann; Kezić, Nikola

doi:10.3896/ibra.1.53.2.07

Cited by 11 publications

(8 citation statements)

References 28 publications

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“…This could indicate a maladaptation to the local environmental conditions in our study area, where the flowering periods of plants start a few weeks earlier than in Germany, from where these queens originated. A similar phenomenon was observed by Dražić et al (2014) who reported that in Croatia colonies headed by queens from Austria reared less brood during spring compared to the local colonies. The significantly smaller number of bees and brood cells observed in the NS group could be the consequence of its origin.…”

Section: Discussionsupporting

confidence: 84%

Effects of selection and local adaptation on resilience and economic suitability in Apis mellifera carnica

Kovačić

Puškadija

Dražić³

et al. 2020

Apidologie

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Modern techniques of selective breeding show high potential to improve economically important traits of honey bees. However, breeding may neglect fundamental rules of natural selection. The objective of this study was to analyze the effects of selection and local adaptation on some relevant breeding traits of Apis mellifera carnica. We compared open mated queens from three different origins: local Croatian genotypes that are under controlled selection since five generations (MS), a local genotype that was never under selective breeding (NS) and, finally, a non-local genotype from a long-lasting German breeding program (HS). Generally, colonies with queens from breeding programs had better scores for defensive behavior, calmness, and swarming. In contrast, colonies from the NS group showed higher expression of Varroa destructor resistance traits. Although the HS group showed the highest score in most of the behavioral traits, the low overwintering index of colonies from this group after both wintering periods indicated a lack of local adaptation. This research underlines the relevance of breeding activities for the resilience of honey bee populations and the achievement of local adaptation.

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Section: Discussionsupporting

confidence: 84%

Effects of selection and local adaptation on resilience and economic suitability in Apis mellifera carnica

Kovačić

Puškadija

Dražić³

et al. 2020

Apidologie

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“…Two more recent studies within Italian honey bee populations [18] and two Carniolan strains [19] supported the presence of G Â E for colony development traits.…”

Section: Box 1 Genotype-environment Interactions (G • E)mentioning

confidence: 78%

“…Numerous surveys and experimental studies have identified the invasive parasitic mite Varroa destructor (hereafter referred to as Varroa) as the most prominent factor affecting honey bee health and contributing to colony losses, both in Europe and worldwide [16,[19][20][21]. Reports of honey bee populations which survive without any Varroa treatment are known from the literature, resulting from selection in both natural and experimental situations [22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Effects of genotype, environment, and their interactions on honey bee health in Europe

Meixner

Kryger

Costa³

2015

Current Opinion in Insect Science

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“…Based on the POM approach, statistical analyses is not strictly required for model evaluation; however, the model outputs could be compared with other independent data available in the literature (e.g. Rueppell et al (2007) for lifespan and AFF and Hatjina et al (2014) and Dražić et al (2014) for colony development).…”

Section: Have the Performance Criteria For The Model Been Predefined mentioning

confidence: 99%

“…The model outputs should be compared with other independent data where information on the environmental conditions of the experiments is available (e.g. Rueppell et al (2007) for lifespan and AFF and Hatjina et al (2014) and Dražić et al (2014) for colony development). In order to validate the model at the European level, the model outputs should be compared with data obtained under different environmental conditions representative of the three EU regulatory zones.…”

Section: Has the Performance Of The Model Been Reported In An Objectimentioning

confidence: 99%

Statement on the suitability of the BEEHAVE model for its potential use in a regulatory context and for the risk assessment of multiple stressors in honeybees at the landscape level

Residues

Topping²

2015

EFS2

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The Panel has interpreted the Terms of Reference by carrying out a stepwise evaluation of the BEEHAVE simulation model with a view to assessing its suitability for use in a regulatory context and for risk assessment of multiple stressors at the landscape level. The EFSA opinion on good modelling practice was used to evaluate the model and its documentation systematically. The overall conclusion is that BEEHAVE performs well in modelling honeybee colony dynamics, and the supporting documentation is generally good but does not fully meet the criteria of the good modelling opinion. BEEHAVE is not yet usable in a regulatory context primarily because it needs a pesticide module. BEEHAVE has a Varroa/virus module, although this seems to underestimate the impact of Varroa/virus on colony survival, and additional stressors (chemical and biological) would need to be added to allow investigation of the effects of interactions of pesticides with multiple stressors. BEEHAVE currently uses a very simple representation of a landscape and this should be extended. There is only one environmental scenario in the present version of BEEHAVE (European central zone-weather scenarios for Germany and the UK) and extension to other European zones would be needed. The supporting data and default parameter values should be further evaluated and justified. The modelling environment used by BEEHAVE (NetLogo) has an excellent user interface but provides limited opportunities for extending the model. The Panel recommends that BEEHAVE should be adopted as the basis for modelling the impact on honeybee colonies of pesticides and other stressors, but that further development should use a standard, object-oriented language rather than NetLogo. The evaluation of the model follows the structure and recommendations in the scientific opinion on good modelling practice (EFSA PPR Panel, 2014), which is intended to help evaluation of models that are submitted in a regulatory context for pesticide risk assessment. The BEEHAVE model was developed before the opinion on good modelling practice was published and it was not submitted in a regulatory context. Therefore, it is not surprising that the BEEHAVE model does not fulfil all the criteria outlined in the good modelling practice opinion and that some of the criteria are not applicable to BEEHAVE. In order to allow a balanced evaluation of the model, it was decided that the model should first be evaluated against its original purpose (to explore how various stressors such as Varroa mites, virus infections, impaired foraging behaviour, changes in landscape structure and dynamics and pesticides affect, in isolation and combination, the performance and possible decline and failure of single managed colonies of honeybees). Where relevant, it was then evaluated against its potential use in a regulatory context and for the assessment of the risk from multiple stressors at the landscape level.In terms of evaluation of the conceptual model, the current model addresses most points of its problem formulati...

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Colony development of two Carniolan genotypes (Apis mellifera carnica) in relation to environment

Cited by 11 publications

References 28 publications

Effects of selection and local adaptation on resilience and economic suitability in Apis mellifera carnica

Effects of selection and local adaptation on resilience and economic suitability in Apis mellifera carnica

Effects of genotype, environment, and their interactions on honey bee health in Europe

Statement on the suitability of the BEEHAVE model for its potential use in a regulatory context and for the risk assessment of multiple stressors in honeybees at the landscape level

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