McDonald Garrick, Umina Paul A, Macfadyen Sarina, Mangano Peter, Hoffmann Ary A
School of Biosciences, The University of Melbourne, 30 Flemington Rd, Parkville, VIC, 3052, Australia,
Exp Appl Acarol. 2015 Mar;65(3):259-76. doi: 10.1007/s10493-014-9876-x. Epub 2014 Dec 21.
Integrated pest management in Australian winter grain crops is challenging, partly because the timing and severity of pest outbreaks cannot currently be predicted, and this often results in prophylactic applications of broad spectrum pesticides. We developed a simple model to predict the median emergence in autumn of pest populations of the redlegged earth mite, Halotydeus destructor, a major field crop and pasture pest in southern Australia. Previous data and observations suggest that rainfall and temperature are critical for post-diapause egg hatch. We evaluated seven models that combined rainfall and temperature thresholds derived using three approaches against previously recorded hatch dates and 2013 field records. The performance of the models varied between Western Australia and south-eastern Australian States. In Western Australia, the key attributes of the best fitting model were more than 5 mm rain followed by mean day temperatures of below 20.5 °C for 10 days. In south-eastern Australia, the most effective model involved a temperature threshold reduced to 16 °C. These regional differences may reflect adaptation of H. destructor in south-eastern Australia to varied and uncertain temperature and rainfall regimes of late summer and autumn, relative to the hot and dry Mediterranean-type climate in Western Australia. Field sampling in 2013 revealed a spread of early hatch dates in isolated patches of habitat, ahead of predicted paddock scale hatchings. These regional models should assist in monitoring and subsequent management of H. destructor at the paddock scale.
澳大利亚冬季谷物作物的综合虫害管理颇具挑战性,部分原因在于目前尚无法预测害虫爆发的时间和严重程度,这常常导致广谱杀虫剂的预防性使用。我们开发了一个简单模型,用于预测澳大利亚南部主要大田作物和牧场害虫——红腿螨(Halotydeus destructor)秋季种群的中位羽化时间。先前的数据和观察表明,降雨和温度对滞育后卵的孵化至关重要。我们评估了七个模型,这些模型结合了使用三种方法得出的降雨和温度阈值,并与先前记录的孵化日期以及2013年的田间记录进行对比。不同模型在西澳大利亚州和澳大利亚东南部各州的表现有所不同。在西澳大利亚州,拟合度最佳的模型的关键特征是降雨量超过5毫米,随后10天的日平均温度低于20.5°C。在澳大利亚东南部,最有效的模型涉及将温度阈值降至16°C。这些区域差异可能反映出相对于西澳大利亚炎热干燥的地中海型气候,澳大利亚东南部的红腿螨适应了夏末和秋季多变且不确定的温度和降雨模式。2013年的田间采样显示,在孤立的栖息地斑块中,早期孵化日期有所提前,早于预测的围场规模孵化时间。这些区域模型应有助于在围场规模上监测和后续管理红腿螨。