ABUNDANCE OF MAJOR INSECT-PESTS OF INDIAN BEAN IN RELATION TO MAJOR WEATHER FACTORS
Department of Entomology, N.M. College of Agriculture
Navsari Agricultural University, Navsari, Gujarat
M.A GANGURDE AND SUSHIL KUMAR
Abundance of major insect-pests of Indian bean cv. Gujarat Papdi was studied at standard week wise interval during 2011-12 at Navsari Agricultural University, Navsari. Whitefly, Bemisia tabaci (Gennadius) population commenced from 41 standard week (SW) attaining peak (8.28/leaf) during 4 SW. It indicated significant negative correlation with temperature (maximum, minimum and average) ('r' = -0.6463, -0.5697 and -0.6162). Total contribution of all the weather factors was 31.62 per cent indicating significant multiple correlation coefficient (R = 0.5623). Leaf miner, Liriomyza trifoli (Burgess) oriented leaf damage commenced from 41 SW attaining peak status (34.86 %) on 5 SW exhibiting significant positive correlation with wind velocity ('r'= 0.6270) and negative correlation with temperature (maximum, minimum and average) ('r'= - 0.6157, -0.4958 and -0.5562).Total impact of all the weather factors was 41.54 per cent indicating significant multiple correlation coefficient (R= 0.6445). Appearance of Aphid, Aphis craccivora (Koch) colony commenced from 48 SW attaining peak (3.65 aphid index) on 3 SW indicating significant positive correlation with wind velocity ('r'= 0.5160) but significant negative correlation with temperature (maximum, minimum and average) ('r' = -0.7219, -0.5619 and -0.6398). The multiple correlation coefficient (R= 0.7014) was significant explaining 49.16 per cent variation due to all the weather factors. Pod borer, (Hubner) population commenced on 49 SWattaining peak (6.21 larvae/plant) on 4 SW. It indicated significant positive correlation with wind velocity ('r'= 0.4590) and significant negative correlation with temperature (maximum, minimum and average)('r' = -0.6992, -0.5701 and -0.6376). The multiple correlation coefficient (R= 0.6333) explained 40.11 per cent variation due to all the weather factors.