Predication of gross cropped area in madhya pradesh through a multiple regression approach

Field experiments were conducted on sandy loam soil at Birsa Agricultural University, Ranchi, India in winter seasons of 2009-10 and 2010-11. The experiment was conducted in split plot design with 3 replication with treatments comprised three irrigation conditions viz. IR1: One irrigation at CRI (20-25 DAS), IR2: Three irrigations at CRI, Tillering (45-50 DAS) and Boot leaf stage (80-85 DAS) and IR3: Five irrigations at CRI, Tillering, Jointing (65-70 DAS), Boot leaf and milk stages (100-105 DAS) in main plots and eight wheat genotypes viz., HD-2997, DBW-46, RSP-561, HD-2733(C), PBW-343 (C), K-0307 (C), HD-2967 (I) and DBW-39 (I) in sub plots. The result revealed that, IR3 produced significantly influenced most yield attributes and yield than other irrigation levels. Increase in irrigation level resulted in significantly more effective tillers (336/m2), higher spike length (12.7 cm), fertile spikelets/ spike (46.27), number of grains/spike (41.42), 1000-grain weight (41.31g), resulting in 20.89 % higher grain yield (37.97q/ha) and straw yield (55.04 q/ha. Among the cultivars, PBW-343 (C) gave significantly more effective tillers (317/m2), spike length (14.4 cm), fertile spikelets/spike (43.52), number of grains/spike (35.33), 1000-grain weight (40.90 g), grain yield (31.83 q/ha) and straw yield (45.69 q/ha) than that of mean of the rest of the seven cultivars.