Sharma Lav, Oliveira Irene, Raimundo Fernando, Torres Laura, Marques Guilhermina
CITAB-Centre for the Research and Technology of Agro-Environmental and Biological Sciences, University of Trás-os-Montes and Alto Douro, UTAD, 5001-801 Vila Real, Portugal.
CEMAT-IST-UL-Centre for Computational and Stochastic Mathematics, University of Lisbon, 1649-004 Lisbon, Portugal.
Pathogens. 2018 Nov 16;7(4):89. doi: 10.3390/pathogens7040089.
exhibits insect pathogenicity-however, generalized concerns of releasing phytopathogens within agroecosystems marred its entomopathogenicity-related investigations. In a previous study, soils were sampled from Douro vineyards and adjacent hedgerows. In this study, 80 of those soils were analyzed for their chemical properties and were subsequently co-related with the abundance of entomopathogenic , after insect baiting of soils with and larvae. The soil chemical properties studied were organic matter content; total organic carbon; total nitrogen; available potassium; available phosphorus; exchangeable cations, such as K⁺, Na⁺, Ca, and Mg; pH; total acidity; degree of base saturation; and effective cation exchange capacity. Entomopathogenic was found in 48 soils, i.e., 60% ± 5.47%, of the total soil samples. Out of the 1280 insect larvae used, 93, i.e., 7.26% ± 0.72%, were found dead by entomopathogenic . Stepwise deletion of non-significant variables using a generalized linear model was followed by a generalized linear mixed model (GLMM). A higher C:N (logarithmized) ( < 0.001) and lower exchangeable K⁺ (logarithmized) ( = 0.008) were found significant for higher fungal abundance. Overall, this study suggests that entomopathogenic is robust with regard to agricultural changes, and GLMM is a useful statistical tool for count data in ecology.
表现出昆虫致病性——然而，在农业生态系统中释放植物病原体的普遍担忧影响了其与昆虫致病性相关的研究。在之前的一项研究中，从杜罗葡萄园和相邻的树篱中采集了土壤样本。在本研究中，对其中80份土壤的化学性质进行了分析，并在向土壤中投放 和 幼虫进行昆虫诱捕后，将其与昆虫病原真菌的丰度进行了相关性分析。所研究的土壤化学性质包括有机质含量、总有机碳、总氮、速效钾、速效磷、可交换阳离子（如K⁺、Na⁺、Ca和Mg）、pH值、总酸度、碱饱和度和有效阳离子交换容量。在48份土壤中发现了昆虫病原真菌，即占土壤样本总数的60%±5.47%。在使用的1280只昆虫幼虫中，有93只，即7.26%±0.72%，被昆虫病原真菌杀死。使用广义线性模型逐步删除不显著变量，随后采用广义线性混合模型（GLMM）。发现较高的C:N（对数化）（<0.001）和较低的可交换K⁺（对数化）（=0.008）对较高的真菌丰度具有显著意义。总体而言，本研究表明昆虫病原真菌对农业变化具有较强的适应性，并且GLMM是生态学中用于计数数据的有用统计工具。
