Spatial Distribution of Nematodes to Improve their Sampling and Management Decision
Spatial Distribution of Nematodes to Improve their Sampling and Management Decision
Mahfouz M.M. Abd-Elgawad
ABSTRACT
Sound sampling of nematodes is basic to their related research and management. Several models of nematodes have been applied to characterize their possible spatial and temporal distribution patterns. These models can provide several advantages such as determining sample size optimization and nematode transformation counts necessary to meet assumptions for parametric statistical analysis. Basically, they can help in unraveling the complexities of ecosystem dynamics into quantifiable metrics. Yet, their merits and demerits, discussed herein, should be considered by researchers and stakeholders. As they should be tailored to fit the intended goal of application, related modifications to derive more accurate and appropriate conclusions for nematode management are reviewed in this study. For instance, iteration improved sample size of Meliodogyne incognita to be 389 instead of 402 using the same assumptions of sampling accuracy and nematode density in both cases. Also, alternative analyses to help decision-maker in affording proper nematode-management schemes are suggested. Although single models have been used in nematode studies, it is better to apply more than one model in a study to complement each other and demonstrate more facets of their distributions.
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