Multiple Regression Analysis for prediction of Bacterial Black Spot Disease in Mango (Mangifera indica L.)

Abstract:

Mango (Mangifera indica L.) is an important fruit crop in India and is honored as the king of fruit in the country. Among the several abiotic and biotic factors, Bacterial Black Spot which is caused by Xanthomonas campestris is the most serious disease causes up to 60 per-cent yield losses and confines mango cultivation in tropical and subtropical countries worldwide. The purpose of this study was to carry out multiple regression analysis for the prediction of malformation disease of mango. The experiment was conducted on 15 years old plants of- twenty cultivars of mango namely Pantsinduri, Dashehari, Amarpalli, Neelum, Hathijhul, Rasgulla, Redtotapari, Langra, Nashpati, Ramkela, Gaurjeet, Golajafrani, Gulabkhas, Gorakhpurlangra, Kalahafus, Karela, Tamancha, Barahmasi, Husnara and Chausa in 2013 and 2014 at Horticulture Research Station (H.R.C.) of G. B. Pant University of Agriculture and Technology, Pantnagar, Distt. Udham Singh Nagar, Uttarakhand. Prevailing weather variables such as Temperature, Relative Humidity and Rainfall were obtained corresponding to the mango seasons for both years (2013 and 2014) from an agrometeorological section of GBPUAT, Pantnagar. These data were also utilized for working out disease weather correlations. A significant correlation coefficient was used to work out multiple regressions for the prediction of malformation in mango. The coefficient of multiple determination (R2) ranged from 94.6 to 99.1 per-cent. Maximum R2 value (99.1%) was found in Chausa and minimum R2 value (99.4%) in Dashehri.