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首页> 美国卫生研究院文献>other >Modeling Effects of Temperature Soil Moisture Nutrition and Variety As Determinants of Severity of Pythium Damping-Off and Root Disease in Subterranean Clover
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Modeling Effects of Temperature Soil Moisture Nutrition and Variety As Determinants of Severity of Pythium Damping-Off and Root Disease in Subterranean Clover

机译：温度土壤水分营养和品种的影响作为地下三叶草的腐霉减毒和根系疾病严重程度的决定因素

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Subterranean clover (Trifolium subterraneum) is a critical pasture legume in Mediterranean regions of southern Australia and elsewhere, including Mediterranean-type climatic regions in Africa, Asia, Australia, Europe, North America, and South America. Pythium damping-off and root disease caused by Pythium irregulare is a significant threat to subterranean clover in Australia and a study was conducted to define how environmental factors (viz. temperature, soil type, moisture and nutrition) as well as variety, influence the extent of damping-off and root disease as well as subterranean clover productivity under challenge by this pathogen. Relationships were statistically modeled using linear and generalized linear models and boosted regression trees. Modeling found complex relationships between explanatory variables and the extent of Pythium damping-off and root rot. Linear modeling identified high-level (4 or 5-way) significant interactions for each dependent variable (dry shoot and root weight, emergence, tap and lateral root disease index). Furthermore, all explanatory variables (temperature, soil, moisture, nutrition, variety) were found significant as part of some interaction within these models. A significant five-way interaction between all explanatory variables was found for both dry shoot and root dry weights, and a four way interaction between temperature, soil, moisture, and nutrition was found for both tap and lateral root disease index. A second approach to modeling using boosted regression trees provided support for and helped clarify the complex nature of the relationships found in linear models. All explanatory variables showed at least 5% relative influence on each of the five dependent variables. All models indicated differences due to soil type, with the sand-based soil having either higher weights, greater emergence, or lower disease indices; while lowest weights and less emergence, as well as higher disease indices, were found for loam soil and low temperature. There was more severe tap and lateral root rot disease in higher moisture situations.
机译：地下三叶草（Trifolium subterraneum）是澳大利亚南部南部和其他地区（包括非洲，亚洲，澳大利亚，欧洲，北美和南美的地中海型气候区）的重要牧草豆类。由腐霉菌引起的腐霉菌腐烂和根系病害是对澳大利亚地下三叶草的重大威胁，并进行了一项研究以确定环境因素（即温度，土壤类型，水分和营养）以及品种如何影响程度病原体挑战下的减毒和根部疾病以及地下三叶草生产力。使用线性和广义线性模型以及增强的回归树对关系进行统计建模。建模发现解释变量与腐霉菌衰减和根腐病程度之间存在复杂的关系。线性建模确定了每个因变量（茎干和根重，出苗，tap实和侧根疾病指数）的高水平（4或5方向）显着相互作用。此外，所有解释变量（温度，土壤，湿度，营养，品种）均被认为是这些模型中某些相互作用的重要组成部分。在干芽和根部干重之间，所有解释变量之间均存在显着的五向相互作用，而在水龙头和侧根疾病指数上，温度，土壤，水分和营养之间均存在四向相互作用。使用增强回归树进行建模的第二种方法为线性模型中发现的关系的复杂性提供了支持，并有助于阐明它们的复杂性。所有解释变量对五个因变量的每一个都显示至少5％的相对影响。所有模型都表明由于土壤类型的不同，沙基土壤的重量更大，发芽更大或疾病指数更低。壤土和低温地区的体重最轻，出苗率更低，疾病指数更高。在湿度较高的情况下，水龙头和侧根腐病更为严重。

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