Data for: Estimation of genetic parameters for the implementation of selective breeding in commercial insect production

Background There is a burgeoning interest in using insects as a sustainable source of food and feed, particularly by capitalising on various waste materials and by-products that are typically considered of low value. Enhancing the commercial production of insects can be achieved through two main approaches: optimising environmental conditions and implementing selective breeding strategies. In order to successfully target desirable traits through selective breeding, having a thorough understanding of the genetic parameters pertaining to those traits is essential. In this study, a full-sib half-sib mating design was used to estimate variance components and heritabilities for larval size and survival at day seven of development, development time and survival from egg to adult, and to estimate correlations between these traits, within an outbred population of house flies (Musca domestica), using high-throughput phenotyping for data collection. Results The results revealed low to intermediat..., , , # Dataset: Estimation of genetic parameters for the implementation of selective breeding in commercial insect production [https://doi.org/10.5061/dryad.kwh70rzc5](https://doi.org/10.5061/dryad.kwh70rzc5) Housefly (Musca domestica) phenotype data. Data was collected in the autumn/winter 2021 by Laura Skrubbeltrang Hansen (AU, QGG, Denmark) and Stine Frey Laursen (AAU, Denmark) in the DFF FTP project \"Optimisation of insect production for animal feed through breeding\" (Torsten Nygaard Kristensen, AAU, Denmark). There are four traits in the dataset: larval size (surface area of larvae at day 7 of development), larval survival (survival from egg to day 7 of development), development time (time from egg until emergence as adult) and adult survival (survival from egg to the day of emergence as adult). The traits are recorded on offspring from a number of full- and half-sib families. The dataset has 19800 observations and 20 variables. Many observations are NA. ## Description of the data an...研究背景 当前，将昆虫作为可持续食品与饲料来源的研究兴趣日益增长，尤其可利用各类通常被视为低价值的废弃物与副产物。提升昆虫商业化生产可通过两大核心路径实现：优化环境条件，以及实施选择性育种策略。若要通过选择性育种精准定向改良目标优良性状，透彻掌握与这些性状相关的遗传参数是必要前提。本研究以家蝇（Musca domestica）的远交种群为研究对象，采用全同胞-半同胞交配设计（full-sib half-sib mating design），借助高通量表型分析（high-throughput phenotyping）收集数据，估算发育第7天的幼虫体型与存活率、卵至成虫的发育时长及存活率的方差组分与遗传力，并分析这些性状间的相关性。 研究结果 研究结果显示性状遗传力处于低至中等水平……，，，# 数据集：商业化昆虫生产中选择性育种实施的遗传参数估算 https://doi.org/10.5061/dryad.kwh70rzc5 家蝇（Musca domestica）表型数据。该数据集由Laura Skrubbeltrang Hansen（丹麦AU, QGG）与Stine Frey Laursen（丹麦AAU）于2021年秋冬两季采集，源自丹麦DFF FTP项目“通过育种优化动物饲料用昆虫生产”（Torsten Nygaard Kristensen，丹麦AAU）。本数据集包含4类性状：幼虫体型（发育第7天幼虫的表面积）、幼虫存活率（卵至发育第7天的存活率）、发育时长（卵至成虫羽化的时长）以及成虫存活率（卵至成虫羽化当日的存活率）。这些性状的表型数据采集自多个全同胞与半同胞家系的子代。该数据集共包含19800条观测记录与20个变量，其中存在大量缺失值（NA）。 数据描述及……