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Using chemical markers to detect root disease in stressed ponderosa pine stands with a low incidence of disease in eastern Oregon.

机译:在俄勒冈州东部,使用化学标记物检测受胁迫的美国黄松林中的根部病害,发病率较低。

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A total of 284 ponderosa pine (Pinus ponderosa) growing near the southern edge of the Blue Mountains in eastern Oregon, USA, were categorized into one of three crown classes based on the degree of 'tufted', or 'lion's tail' appearance of their branches, a potential symptom of black-stain root disease, then pushed over and their root systems examined for visual symptoms of disease. Only 23 (8.1%) were found to have more than a trace level of black-stain (caused by Leptographium wageneri), annosum root disease (caused by Heterobasidion annosum), or both at approximately 38 cm below the root collar. Although there were many measurable differences in crown growth parameters among the three classes, they were not reliable for predicting the presence, or severity of root disease. Differences in crown morphology associated with these classes probably resulted from the combined effects of tree size, levels of resources available on site to support vigorous growth, especially water, and stresses that enhanced water deficits. The sapwood water content of diseased trees was 80.0% of the water content in healthy trees. Acetaldehyde, acetone, methanol, and ethanol concentrations, quantified in the headspace analysis of sapwood collected above the root collar prior to harvest, were all higher in trees with root disease compared to those without disease. Logistic regression models with 0-5 chemical explanatory variables were compared simultaneously by the practical information-theoretic approach to select the best model for predicting trees with root disease. The one selected contained only acetone fresh weight concentrations as an explanatory variable, and would facilitate increased rates of sapwood analysis in the laboratory. More importantly, acetone concentrations may function as useful markers to identify the most severely diseased trees for removal, or in general stand surveys to estimate the level of root disease when symptoms in the crown are lacking or confounded by other stresses..
机译:根据美国俄勒冈州蓝山南部边缘附近生长的总共284棵美国黄松(Pinus tankerosa),根据它们的“簇状”或“狮子尾巴”出现的程度将其归为三个冠类之一。分支,可能是黑斑病的潜在症状,然后将其推倒,检查其根系是否有视觉症状。发现只有23(8.1%)的黑渍(由Leptographium payneri引起),无名指根部疾病(由Anterobasidion annosum引起)或以上都在根领下约38 cm处。尽管在这三类中冠状生长参数有许多可测量的差异,但它们对于预测根部疾病的存在或严重性并不可靠。与这些类别相关的树冠形态差异可能是由于树木大小,现场可用于支持旺盛生长的资源水平(尤其是水)以及增加缺水压力的综合影响所致。患病树木的边材水分含量为健康树木水分的80.0%。与没有病害的树木相比,在有根病的树木中,乙醛,丙酮,甲醇和乙醇的浓度(在收获前在根颈上方收集的边材的顶空分析中进行了定量分析)均较高。通过实用的信息理论方法,同时比较了具有0-5个化学解释变量的Logistic回归模型,从而选择了预测树木根病的最佳模型。所选择的一个仅包含丙酮新鲜重量浓度作为解释变量,并且将有助于在实验室中提高边材分析的速率。更重要的是,丙酮浓度可以用作有用的标记物,以识别病情最严重的树木以进行清除,或者在一般情况下,当树冠上的症状缺乏或因其他压力而混淆时,可以对根部疾病的水平进行估计。

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