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Correlations between repeated measurements of BINF (1-3), above the diagonal and standard errors below the diagonal.

Correlations between repeated measurements of BINF (1-3), above the diagonal and standard errors below the diagonal.

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Infestation with the parasitic mite Varroa destructor is a serious cause of bee colony (Apis mellifera) losses on a global level. However, the presence of untreated survivor populations in many different regions indicates that selection for resistance might lead to a long-term solution. The success of selection depends on suitable testing criteria....

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... r is the Pearson correlation between two traits and N is the number of cases where both traits were recorded. For a table with correlations between all pairs of traits with standard errors see Supplementary Table S3. This supplementary table also contains the 90% and 99% confidence intervals. ...
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... Table 3 for these correlations for BINF (data for BINF 4-5 are included in Supplementary Table S3). In the dataset from Germany, the correlations were in the order of magnitude of 0.55, but in the Croatian data, they were significantly higher. ...
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... Table 3 for these correlations for BINF (data for BINF 4-5 are included in Supplementary Table S3). In the dataset from Germany, the correlations were in the order of magnitude of 0.55, but in the Croatian data, they were significantly higher. ...
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... significant effect of the infestation level on invasion rate of mites might also explain why we found a negative correlation of BINFa and b3 on the untreated and more highly infested colonies in Germany, while there is a positive correlation measured in the lower infested test populations in Austria and Croatia (Supplementary Table S3). ...
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... differences in mite reproduction (SMR) are negatively correlated with brood infestation (BRINF) and mite population increase (b3), a repeatability of measurements close to zero indicates that its application might not be efficient for selective breeding programs. Table-S2-test-of-fixed-effects.pdf: adjustment of observations; Table-S3-correlations-200823.xlxs: Table with all correlations, confidence intervals and standard ...

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... The detrimental effects of V. destructor and the impacts of acaricides on honeybee colonies have prompted beekeepers to seek sustainable approaches to control the mite. In order to achieve this, some beekeepers are trying to breed resistant honeybee stocks against V. destructor by using different selection criteria [5][6][7]. The social behavior of honeybees has called on the attention of beekeepers to address their intra-specific and inter-specific relationships while placing emphasis on their intrinsic behavior to reduce the spread of V. destructor. ...
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... The brood investigation required for this is tedious 15 and the accuracy of MNR and REC values strongly depends on sample size 22 . Since MNR seems to be the outcome of different background mechanisms 10 , it shows a low phenotypic repeatability compared to REC and other resistance traits [22][23][24] . However, these changes might simply be linked to seasonal differences in the expression of underlying behaviours (e.g., VSH or REC) due to changing nectar flows 25 , brood rearing activity 26 or other unknown factors. ...
... Although REC was frequently described as an important resistance trait 3,10,11,27 , beneficial effects for the host seem to be highly variable. At the colony level, high rates of REC were found to decrease Varroa reproduction in some cases 28,29 , while this could not be confirmed in others 17,23 . At the cell level, the results were likewise variable: effects on MNR were mainly shown for artificially uncapped cells 12 , while either no effect was found in naturally recapped cells 12,18,26 or results differed between sample sets 24 . ...
... Thus, it was proposed that the effect of REC may sometimes be overshadowed by other mechanisms 18,26 . This would also explain contradicting reports on the relationship between REC and infestation measures at the colony level 18,23,24,29,30 . Accordingly, we observed no correlation between RECinf and infestation measures or RECinf and MNR at the colony level (Table 3), although MNR was increased in the case of REC at the cell level (Fig. 1a, Table 1). ...
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... For example, a lower reproductive success of mites was frequently reported for naturally surviving colonies (Grindrod and Martin 2021;Locke 2016;Oddie et al. 2018). Thus, this phenomenon is regarded as a selection criterion for breeding towards Varroa resistance (Büchler et al. 2010(Büchler et al. , 2020aMondet et al. 2020b), often measured after artificial infestation with mites gained from broodless donor colonies. Hence, such measurements on colony level might be distorted, if the expression of reproductive failure per se would be altered by brood interruptions. ...
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... A common trait used for selection is suppressed mite reproduction (SMR; Büchler et al. 2010, Rinderer et al. 2010, Guichard et al. 2020a. SMR is phenotyped using two methods: the assessment of mite fecundity by counting the number of viable daughters produced (e.g., Martin 1994Martin , 1995Martin , 1997, or of mite infertility, as the lack of mite reproductive success expressed as the percentage of mites producing no viable daughters (Büchler et al. 2020, Eynard et al. 2020, Mondet et al. 2020b. The reduction in mite reproduction by SMR is thought to result from the properties of immature (i.e., brood) or adult hosts (Harbo and Harris 2005, Conlon et al. 2019. ...
... DMR has frequently been implemented in selection programmes, showing its popularity amongst honey bee breeders (Guichard et al. 2020a) and leading to an increase in published reports. These reports allowed for first estimates of the effectiveness of selecting this trait toward resistant honey bee lineages (DeGrandi-Hoffman et al. 2002, Büchler et al. 2020, Eynard et al. 2020, Guichard et al. 2020a. Several limitations in using DMR appeared, hindering its practical implementation (Guichard et al. 2020a). ...
... Recording DMR phenotypes late during the colony evaluation process leads to a generation time of two years in colonies selected for this trait in temperate regions, only allowing for slow genetic progress. The literature on DMR also indicates that infertility-based measures have low repeatability and are imprecise (Büchler et al. 2020, Eynard et al. 2020. The poor repeatability has been attributed to varying environmental conditions between measurement times (Büchler et al. 2020, Eynard et al. 2020). ...
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The invasive parasitic mite, Varroa destructor (Anderson and Trueman), is the major biotic threat to the survival of European honey bees, Apis mellifera L. To improve colony survival against V. destructor, the selection of resistant lineages against this parasite is considered a sustainable solution. Among selected traits, mite fertility and fecundity, often referred to as suppressed mite reproduction are increasingly used in breeding programmes. However, the current literature leaves some gaps in the assessment of the effectiveness of selecting these traits toward achieving resistance. In the population studied here, we show a low repeatability and re-producibility of mite fertility and fecundity phenotypes, as well as a low correlation of these traits with infestation rates of colonies. Phenotyping reliability could neither be improved by increasing the number of worker brood cells screened, nor by screening drone brood, which is highly attractive for the parasite and available early in the season, theoretically allowing a reduction of generation time and thus an acceleration of genetic progress in selected lineages. Our results provide an evaluation of the potential and limitations of selecting on decreased mite reproduction traits to obtain V. destructor-resistant honeybee colonies. To allow for a more precise implementation of such selection and output reporting, we propose a refined nomenclature by introducing the terms of decreased mite reproduction and reduced mite reproduction, depending on the extent of mite reproduction targeted. We also highlight the importance of ensuring accurate phenotyping ahead of initiating long-lasting selection programmes.
... For example, an imbalance of 'uncapper' versus 'recapper' bees may cause many brood cells to be left open [55]. Consequently, it can be very hard to accurately measure resistanceassociated traits [117,118,129], resulting in a high degree of variability within colonies and across colony-level datasets ( figure 1b,c,e). Ultimately, variability severely affects selection programmes (reviewed in [130]), whereas in natural selection-based experiments such as bond experiments [15] and black box experiments [13,131], assumptions on the importance of traits are not made. ...
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The near-globally distributed ecto-parasitic mite of the Apis mellifera honey-bee, Varroa destructor, has formed a lethal association with Deformed wing virus, a once rare and benign RNA virus. In concert, the two have killed millions of wild and managed colonies, particularly across the Northern Hemisphere, forcing the need for regular acaricide application to ensure colony survival. However, despite the short association (in evolutionary terms), a small but increasing number of A. mellifera populations across the globe have been surviving many years without any mite control methods. This long-term survival, or Varroa resistance, is consistently associated with the same suite of traits (recapping, brood removal and reduced mite reproduction) irrespective of location. Here we conduct an analysis of data extracted from 60 papers to illustrate how these traits connect together to explain decades of mite resistance data. We have potentially a unified understanding of natural Varroa resistance that will help the global industry achieve widespread miticide-free beekeeping and indicate how different honeybee populations across four continents have resolved a recent threat using the same suite of behaviours.