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Fungal diseases and inappropriate sowing dates, the most important reducing factors in cumin fields of Iran, a case study in Khorasan provinces.

机译:霍拉桑省的案例研究表明,真菌疾病和不适当的播种日期是伊朗孜然田间最重要的减少因素。

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摘要

A simple model was constructed, tested and used to determine the potential yield of cumin (Cuminum cyminum). Using model outputs and data obtained from 228 fields, yield gap was determined. Yield gap varied considerably among regions (from 2.42 to 0.68 ton ha-1). Stepwise regression on data collected from fields showed that 73% of yield gap variation in 228 fields could be explained by fungal diseases (Fusarium oxysporum and Alternaria burnsii), inappropriate sowing dates and successive planting. Therefore, these were considered to be the main reducing factors in the studied regions, with 38% contributed by fungal diseases, 30% by sowing date and 5% by successive planting. When 67% of surveyed fields (averaged for all fields) were infected with these diseases and when there was a 3-mm increment in precipitation, infection increased about 1%. Our results indicated that 1% of the fungal infection increase equals to a yield loss of 150 kg per hectare. Sowing date of 63% of fields were also not within the appropriate range. Therefore, appropriate sowing date and all possible approaches to alleviate the effects of fungal diseases are the most fundamental advices to fill the gap between potential and actual yield of cumin in Khorasan provinces, Iran. Detailed descriptions of the model, important physiological parameters and other important state variables are also presented.Digital Object Identifier http://dx.doi.org/10.1016/j.cropro.2010.11.007
机译:构建了一个简单的模型,进行了测试并用于确定小茴香( Cyum cyminum )的潜在产量。使用模型输出和从228个油田获得的数据,确定了产量差距。区域之间的产量差距差异很大(从2.42吨至0.68吨ha -1 )。对田间采集的数据进行逐步回归分析表明,在228个田间,73%的产量差距变化可以通过真菌病(尖孢镰刀菌和 Burnterns burnsii ),不适当的播种日期和连续种植。因此,这些被认为是研究区域的主要减少因素,其中真菌病害占38%,播种期占30%,连续种植占5%。当67%的被调查田地(所有田地的平均值)感染了这些疾病,并且当降水量增加3毫米时,感染增加了大约1%。我们的结果表明,真菌感染增加1%等于每公顷150 kg的产量损失。 63%的田间播种日期也不在适当范围内。因此,适当的播种日期和减轻真菌病影响的所有可能方法是填补伊朗霍拉桑省小茴香潜在产量与实际产量之间差距的最基本建议。还介绍了该模型的详细说明,重要的生理参数和其他重要的状态变量。数字对象标识符http://dx.doi.org/10.1016/j.cropro.2010.11.007

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