Association of tomato early blight epidemics with biophysical factors in Southern Tigray, Ethiopia
摘要
Tomato is an important vegetable crop in Ethiopia. However, its production is constrained by different biotic and abiotic factors among which tomato early blight is the major one. A field survey was conducted to determine the distribution and association of early blight with biophysical factors in Southern Tigray from mid-January to February 2020 on an irrigated cropping system. A purposive multi-stage sampling procedure was used to select the districts and peasant associations based on their potential for tomato production. A total of 56 tomato fields were assessed in two districts and eight peasant associations. The association of biophysical factors with the intensity of early blight have been analyzed using the logistic mixed regression model. The results revealed that early blight disease was 88.5% prevalent in the study areas with variable disease intensity among the peasant associations and districts. A significant difference (P < 0.0001) was observed in early blight intensity across the locations. The highest early blight incidence (72.4%) and severity (41%) was recorded in Raya Azebo district; whereas, Wergaba and Limhat were among the peasant associations where the highest and lowest disease intensity had been recorded, respectively. Independent variables such as districts, peasant associations, previous crop, variety, seed source and irrigation type and crop density were the most important variables that were significantly associated with the intensity of early blight in the study areas. In contrast, altitude, seedling production and irrigation frequency of application have not significantly associated with the severity of tomato early blight across the study areas. Overall, this study identified the distribution and the driving factors significantly associated with the intensity of tomato early blight disease in the study areas. Therefore, future research work should focus on conducting comprehensive epidemiological studies and developing effective and feasible integrated management options by considering biophysical factors influencing the intensity of tomato early blight.