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首页> 外文期刊>Australasian Plant Pathology >G1 Blackspot Manager model predicts the maturity and release of ascospores in relation to ascochyta blight on field pea.
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G1 Blackspot Manager model predicts the maturity and release of ascospores in relation to ascochyta blight on field pea.

机译:G1 Blackspot Manager模型预测与豌豆上的草枯病有关的子囊成熟度和释放。

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摘要

A simple model, G1 Blackspot Manager, has been developed to predict the seasonal pattern of release of ascospores in relation to ascochyta blight in field pea. The model considers a combination of two weather factors, daily mean temperature and daily total rainfall, to drive progress of maturity of pseudothecia on infested field pea stubble from past crops. Each day is categorised as suitable or not suitable for continuation of the maturation process. The onset of pseudothecial maturity has been found to take place when approximately ten suitable days have occurred. Following the onset of maturity, ascospore release is triggered when daily rainfall exceeds a threshold. The model was satisfactorily calibrated using three datasets from Western Australia. The calibrated model performed well when independently tested with 21 datasets, 17 from Western Australia and 4 from South Australia. It is concluded that G1 Blackspot Manager model has the potential to be used to formulate sowing guides for field pea in southern Australia that minimise the risk of ascochyta blight.Digital Object Identifier http://dx.doi.org/10.1007/s13313-011-0035-0
机译:已经开发了一个简单的模型G1 Blackspot Manager,以预测豌豆中子囊菌与枯萎病有关的孢子释放的季节性模式。该模型考虑了每日平均温度和每日总降雨量这两个天气因素的组合,以驱动过去作物侵染的田间豌豆茬上假the的成熟进程。每天被归类为适合或不适合继续进行成熟过程。已经发现假神学成熟的开始发生在大约十个合适的日子。随着成熟的开始,当每日降雨量超过阈值时,会触发子囊孢子释放。使用来自西澳大利亚州的三个数据集对模型进行了令人满意的校准。当使用21个数据集(来自西澳大利亚的17个数据集和来自南澳大利亚的4个数据集)进行独立测试时,校准后的模型表现良好。结论是,G1 Blackspot Manager模型有可能被用来为澳大利亚南部的豌豆制定播种指南,以最大程度地减少枯萎病的发生。数字对象标识符http://dx.doi.org/10.1007/s13313-011 -0035-0

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