Haran Ramkumar, Sumathi Ettiappan, Iqbal Javaid, Krupesh Sivakumar, Parthasarathi Ganesan, Vijay Settu, Saminathan Vangili Ramasami, Srinivasan Madapuji Rajagopalan, Kokiladevi Eswaran, Jayakanthan Mannu, Zeshan Ali
Department of Agricultural Entomology, Tamil Nadu Agricultural University, Coimbatore 641003, India.
Department of Plant Protection, College of Food and Agriculture Sciences, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia.
Insects. 2024 Aug 6;15(8):598. doi: 10.3390/insects15080598.
Hygienic behavior (HB) emerges as a pivotal trait, impacting colony resistance to diseases. This study aimed to understand the behavioral traits of colonies, with a focus on HB and other key characteristics crucial for colony health, and to screen and identify colonies with superior hygienic behavior and better performance to combat prevailing diseases and pests. This research spans a comprehensive field analysis with different seasons and locations, encompassing the distinct environmental and management factors that influence honey bee behavior. The inclusion of colonies from various locations provides a novel perspective, offering valuable insights regarding the hygienic behavior of . Several statistical analyses, including descriptive statistics, principal component analysis (PCA), and Aligned Rank Transformation-Analysis of Variance (ART-ANOVA) for repeated measures, shed light on the distribution of hive metrics, emphasizing the significance of considering seasonality and location-specific factors. PCA highlights unique characteristics in Tirupur and Coimbatore colonies, while correlation analyses uncover relationships among HB, honey, pollen, brood area, and adult population. Moreover, the study's nuanced findings gave the status of hygienic behavior of colonies and identified colonies with better colony performance, which will be useful for future breeding programs with .
卫生行为（HB）成为一个关键特征，影响蜂群对疾病的抵抗力。本研究旨在了解蜂群的行为特征，重点关注HB以及对蜂群健康至关重要的其他关键特性，并筛选和识别具有卓越卫生行为和更好性能以对抗流行疾病和害虫的蜂群。本研究跨越不同季节和地点进行全面的实地分析，涵盖影响蜜蜂行为的不同环境和管理因素。纳入来自不同地点的蜂群提供了一个新视角，对[具体内容缺失]的卫生行为提供了有价值的见解。包括描述性统计、主成分分析（PCA）以及用于重复测量的对齐秩变换-方差分析（ART-ANOVA）在内的多项统计分析，揭示了蜂箱指标的分布情况，强调了考虑季节性和特定地点因素的重要性。PCA突出了蒂鲁布尔和哥印拜陀蜂群的独特特征，而相关性分析揭示了HB、蜂蜜、花粉、育雏面积和成年蜂数量之间的关系。此外，该研究的细致发现给出了[具体内容缺失]蜂群卫生行为的状况，并识别出具有更好蜂群性能的蜂群，这将对未来与[具体内容缺失]相关的育种计划有用。
