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Evaluation of the Combined Effect of Heterodera glycines and Macrophomina phaseolina on Soybean Yield in Naturally Infested Fields with Spatial Regression Analysis and in Greenhouse Studies

机译:用空间回归分析及温室研究评价异源甘氨酸甘氨酸和麦芽麦片Phapolina对天然侵染田大豆产量的综合作用

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Heterodera glycines, the soybean cyst nematode, and Macrophomina phaseolina, causal agent of charcoal rot, are economically important soybean pathogens. The impact and effect of these pathogens on soybean yield in coinfested fields in the Midwest production region is not known. Both pathogens are soilborne, with spatially aggregated distribution and effects. Spatial regression analysis, therefore, is an appropriate method to account for the spatial dependency in either the dependent variable or regression error term from data produced in fields naturally infested with H. glycines and M. phaseolina. The objectives of this study were twofold: to evaluate the combined effect of H. glycines and M. phaseolina on soybean yield in naturally infested commercial fields with ordinary least squares and spatial regression models; and to evaluate, under environmentally controlled conditions, the combined effect of H. glycines and M. phaseolina through nematode reproduction and plant tissue fungal colonization. Six trials were conducted in fields naturally infested with H. glycines and M. phaseolina in Ohio. Systematic-grid sampling was used to determine the population densities of H. glycines and M. phaseolina, and soybean yield estimates. Though not used in any statistical analysis, M. phaseolina colony forming units from plant tissue, charcoal rot severity, and H. glycines type were also recorded and summarized. In two greenhouse experiments, treatments consisted of H. glycines alone, M. phaseolina alone, and coinfestation of soybean with both pathogens. Moran's I test indicated that the yield from five fields was spatially correlated (P < 0.05) and aggregated. In these fields, to account for spatial dependence, spatial regression models were fitted to the data. Spatial regression analyses revealed a significant interaction effect between H. glycines and M. phaseolina on soybean yield for fields with high initial population densities of both pathogens. In the greenhouse experiments, H. glycines reproduction was significantly (P < 0.05) reduced in the presence of M. phaseolina; however, soybean tissue fungal colonization was not affected by the presence of H. glycines. The direct mechanisms by which H. glycines and M. phaseolina interact were not demonstrated in this study. Future studies must be conducted in the field and greenhouse to better understand this interaction effect.
机译:Heterodera甘氨酸,大豆囊肿线虫和甲状腺样醇,木炭腐的因果剂,是经济上重要的大豆病原体。这些病原体对中西部生产区域中叉染田豆豆产量对大豆产量的影响和效果尚不清楚。这两种病原体都是脱脂的,具有空间占分配和效果。因此,空间回归分析是占从在天然侵入H.甘氨酸和M. phapeolina的字段中产生的数据中产生的数据的所依赖变量或回归误差术语的空间依赖性的适当方法。本研究的目的是双重的:评估H.甘氨酸和M phapsolina对天然侵染商业领域大豆产量的综合作用,具有普通最小二乘和空间回归模型;并在环境控制条件下评估H.甘氨酸和M. phapeolina通过线虫繁殖和植物组织真菌定植的综合作用。在俄亥俄州的H.甘氨酸和M. phableolina在天然侵染的田间进行了六项试验。系统栅格取样用于确定H.甘氨酸和M分位数的人群密度和大豆产量估计。虽然未在任何统计分析中使用,但也记录并总结了来自植物组织,木炭腐败严重程度和H.甘氨酸类型的M. phapeolina菌落形成单元。在两个温室实验中,治疗由单独的H.甘氨酸组成,单独的puplation,以及两种病原体的大豆肉体。 Moran的I测试表明,五个场的产量在空间相关(P <0.05)并聚集。在这些字段中,要考虑空间依赖性,空间回归模型适用于数据。空间回归分析显示H.甘氨酸和M phabeolina对两种病原体初始群体密度高群体产量的显着相互作用。在温室实验中,在M. puplaceolina的存在下,H.甘氨酸繁殖显着(p <0.05)减少;然而,大豆组织真菌殖民化不受H.甘氨酸存在的影响。本研究未证明H. Glycines和M. pumpaceolina相互作用的直接机制。必须在现场和温室进行未来的研究,以更好地了解这种互动效果。

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