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Conference Papers Year : 2022

Assessment of uncertainty in direct and maternal genetic parameters estimates for honeybee colony phenotypes

Abstract

Genetic parameters in honeybees are commonly estimated using REML methodologies applied to animal models with maternal effects. These methodologies were adapted to the species' peculiarities, including: phenotypes measured on colonies, haplo-diploïdy and polyandrous mating. However, estimations' reliability is hindered by the small size of the breeding nuclei commonly used. We assessed the uncertainty of variance component estimates in small simulated honeybee populations by evaluating the impact of the breeding nucleus size, the mating strategy and the direct-maternal genetic correlation. The convergence of estimations was strongly hindered when considering a small breeding nucleus with less controlled mating and negatively correlated genetic values. Furthermore, biases could be observed in this scenario. Individual estimates deviated strongly from the real values in about 40% of the populations. When considering real breeding populations, these results highlight the caution to be taken with estimates from small populations with complex pedigree structures.
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hal-04013024 , version 1 (03-03-2023)

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T Kistler, E W Brascamp, B Basso, P Bijma, Florence Phocas. Assessment of uncertainty in direct and maternal genetic parameters estimates for honeybee colony phenotypes. World Congress on Genetics Applied to Livestock Production, Jul 2022, Rotterdam, Netherlands. ⟨10.3920/978-90-8686-940-4_625⟩. ⟨hal-04013024⟩
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