Spatial variability of Mycena Citricolor Berkeley and Curtis, 1887, in two coffee-growing municipalities of the State of Mexico

Abstract

Coffee cultivation is one of the most important crops in the world, one of the main diseases of coffee is rooster's eye, at high infestation rates can cause leaf defoliation and low crop yields, the objective of the present study was to determine the type of spatial variability of the disease “rooster's eye” caused by the fungus Mycena citricolor Berkeley & Curtis (Agaricales: Mycenaaceae), in the coffee crop, using spatial statistics (Spatial Analysis by Distance Indexes “SADIE” and Geostatistics), the experiment was conducted in the municipalities of Sultepec and Temascaltepec in the State of Mexico from March to August 2022, where two plots of 0.5 hectares per municipality were established in 50 quadrants, taking four plants per quadrant, evaluating 36 leaves per plant, from which it was obtained that the presence of the disease is present in all months, however, the percentage of infestation varied according to climatic conditions such as temperature, relative humidity and precipitation, with respect to the SADIE indices, the Ia and Ja values indicate a spatial distribution in aggregates distributed in several centers, with respect to geostatistics, all the theoretical models of the semivariograms were adjusted to the spherical model, and maps were generated using the ordinary kriging method to determine the spatial behavior of rooster's eye in the different samplings, the use of spatial statistics helps to determine the behavior of the disease being a good tool that can change the strategies of conventional or traditional agriculture, since the application of inputs is not carried out in a homogeneous manner, but rather according to the quantification of spatial and temporal variability, allowing producers to carry out integrated disease management programs for the benefit of the environment.