dr. Lina De Smet

Journal Article
A1
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Known and novel viruses in Belgian honey bees : yearly differences, spatial clustering, and associations with overwintering loss

Ward Deboutte, Lina De Smet (UGent) , Marleen Brunain (UGent) , Nikolas Basler (UGent) , Riet De Rycke (UGent) , Lena Smets, Dirk de Graaf (UGent) and Jelle Matthijnssens

(2024) MICROBIOLOGY SPECTRUM. 12(7).

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Allele frequencies of genetic variants associated with Varroa drone brood resistance (DBR) in Apis mellifera subspecies across the European continent

Regis Lefebre (UGent) , Lina De Smet (UGent) , Anja Tehel, Robert J. Paxton, Emma Bossuyt (UGent) , Wim Verbeke (UGent) , Coby van Dooremalen, Zeynep N. Ulgezen, Trudy van den Bosch, Famke Schaafsma, et al.

(2024) INSECTS. 15(6).

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Comprehensive approach to phenotype Varroa destructor reproduction in honey bee drone brood and its correlation with decreased mite reproduction (DMR)

Regis Lefebre (UGent) , David Claeys Boúúaert, Emma Bossuyt (UGent) , Lina De Smet (UGent) , Marleen Brunain (UGent) , Ellen Danneels (UGent) and Dirk de Graaf (UGent)

(2024) INSECTS. 15(6).

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Eggs sampling as an effective tool for identifying the incidence of viruses in honey bees involved in artificial queen rearing

Caio E. C. Domingues, Laura Šimenc, Ivan Toplak, Dirk de Graaf (UGent) , Lina De Smet (UGent) , Wim Verbeke (UGent) , Luc Peelman (UGent) , Leticia S. Ansaloni and Aleš Gregorc

(2024) SCIENTIFIC REPORTS. 14.

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Shift in virus composition in honeybees (Apis mellifera) following worldwide invasion by the parasitic mite and virus vector Varroa destructor

Vincent Doublet, Melissa A. Y. Oddie, Fanny Mondet, Eva Forsgren, Bjørn Dahle, Elisabeth Furuseth-Hansen, Geoffrey R. Williams, Lina De Smet (UGent) , Myrsini E. Natsopoulou, Tomás E. Murray, et al.

(2024) ROYAL SOCIETY OPEN SCIENCE. 11(1).

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Bridging the gap between field experiments and machine learning : the EC H2020 B-GOOD project as a case study towards automated predictive health monitoring of honey bee colonies

Coby van Dooremalen, Zeynep N. Ulgezen, Raffaele Dall’Olio, Ugoline Godeau, Xiaodong Duan, José Paulo Sousa, Marc O. Schäfer, Alexis Beaurepaire, Pim van Gennip, Marten Schoonman, et al.

(2024) INSECTS. 15(1).

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Population-wide modelling reveals prospects of marker-assisted selection for parasitic mite resistance in honey bees

Regis Lefebre (UGent) , Bart Broeckx (UGent) , Lina De Smet (UGent) , Luc Peelman (UGent) and Dirk de Graaf (UGent)

(2024) SCIENTIFIC REPORTS. 14(1).

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Expression of molecular markers of resilience against Varroa destructor and bee viruses in Ethiopian honey bees (Apis mellifera simensis) focussing on olfactory sensing and the RNA interference machinery

Haftom Ngussie (UGent) , David Claeys Boúúaert, Michel Asperges, Bezabeh Amssalu, Lina De Smet (UGent) and Dirk de Graaf (UGent)

(2023) INSECTS. 14(5).

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Can a simple selection program predict winter mortality? Preliminary evaluation of the Flemish honey bee breeding program steers towards selection by exclusion

David Claeys Boúúaert, Ellen Danneels (UGent) , Valérie Villers (UGent) , Marleen Brunain (UGent) , Regis Lefebre (UGent) , Lina De Smet (UGent) and Dirk de Graaf (UGent)

(2023) BEE WORLD. 100(1). p.15-19

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B-GOOD : giving beekeeping guidance by computational-assisted decision making

Dirk de Graaf (UGent) , Martin Bencsik, Lina De Smet (UGent) , Peter Neumann, Marten Schoonman, José Paulo Sousa, Christopher Topping, Wim Verbeke (UGent) , James Williams and Coby van Dooremalen

(2022) RESEARCH IDEAS AND OUTCOMES. 8.

Academic Bibliography

dr. Lina De Smet

Known and novel viruses in Belgian honey bees : yearly differences, spatial clustering, and associations with overwintering loss

Allele frequencies of genetic variants associated with Varroa drone brood resistance (DBR) in Apis mellifera subspecies across the European continent

Comprehensive approach to phenotype Varroa destructor reproduction in honey bee drone brood and its correlation with decreased mite reproduction (DMR)

Eggs sampling as an effective tool for identifying the incidence of viruses in honey bees involved in artificial queen rearing

Shift in virus composition in honeybees (Apis mellifera) following worldwide invasion by the parasitic mite and virus vector Varroa destructor

Bridging the gap between field experiments and machine learning : the EC H2020 B-GOOD project as a case study towards automated predictive health monitoring of honey bee colonies

Population-wide modelling reveals prospects of marker-assisted selection for parasitic mite resistance in honey bees

Expression of molecular markers of resilience against Varroa destructor and bee viruses in Ethiopian honey bees (Apis mellifera simensis) focussing on olfactory sensing and the RNA interference machinery

Can a simple selection program predict winter mortality? Preliminary evaluation of the Flemish honey bee breeding program steers towards selection by exclusion

B-GOOD : giving beekeeping guidance by computational-assisted decision making

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