Spatial Distribution Pattern of Coffee Leaf Rust in Different Arabica Coffee Varieties

doi:10.11924/j.issn.1000-6850.casb16100084

Abstract

Abstract: Coffee leaf rust is one of the major diseases on arabica coffee. The objectives of this work are to clarify the spatial distribution pattern of the leaf rust disease in arabica coffee field. An investigation was conducted on the diseased plants, the spatial distribution pattern of the leaf rust disease was studied by determination of aggregated indices, the Taylor’s power law, Iwao’sM *-m regression analysis, Lan’sLα -m model and Zhang’sZ -V model. Results indicated that the diseased plants in coffee field belong to negativebinomial distribution, the average spot amount of each leaf was different among different arabica coffee varieties. Among them,‘Catuaí Regional’and‘Catuaí44’had a higher severity and spot expansion speed of the disease; the average spot amount on‘P4’was the smallest. The severity of the disease on arabica coffee leaf layers was significantly different, with the sequence of lower leaves> middle leaves> upper leaves.

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