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Title: Modeling honey yield, defensive and swarming behaviors of Italian honey bees (Apis mellifera ligustica) using linear-threshold approaches
Authors: Andonov, Sreten 
Costa, Cecilia
Uzunov, Aleksandar 
Bergomi, Patrizia
Lourenco, Daniela
Misztal, Ignacy
Keywords: Threshold model, Heritability, Genetic correlation, Predictability, Genetic evaluation
Issue Date: 21-Oct-2019
Journal: BMC genetics
Abstract: Genetic improvement of honey bees is more difficult compared to other livestock, due to the very different reproductive behavior. Estimation of breeding values requires specific adjustment and the use of sires in the pedigree is only possible when mating of queens and drones is strictly controlled. In the breeding program of the National Registry for Italian Queen Breeders and Bee Producers the paternal contribution is mostly unknown. As stronger modeling may compensate for the lack of pedigree information, we tested two models that differed in the way the direct and maternal effects were considered. The two models were tested using 4003 records for honey yield, defensive and swarming behaviors of Italian honey bee queens produced between 2002 and 2014. The first model accounted for the direct genetic effect of worker bees and the genetic maternal effect of the queen, whereas model 2 considered the direct genetic effect of the queen without maternal effect. The analyses were performed by linear (honey production) and threshold (defensive and swarming behavior) single-trait models; estimated genetic correlations among traits were obtained by a three-trait linear-threshold model.
DOI: 10.1186/s12863-019-0776-2
Appears in Collections:Faculty of Agricultural Sciences and Food: Journal Articles

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