Correlation and regression studies of yield and yield associated traits in advance bread wheat (Triticum aestivum L.) Lines

Abstract

The correlation and regression in advanced lines of hexaploid wheat were analyzed for nine yield contributing traits Wheat and Barely Research Institute, Tandojam, Sindh applying four replications in RCBD. The results regarding analysis of variance demonstrated highly significant values in wheat genotypes for all character which were studied resulting in a large amount of genetic variability, hence these genotypes would be extremely beneficial for the future breeding improvement programmes. In case of mean performance among genotypes, Sindhu (Check) manifested dwarf plants (73.25 cm), SAWYT/2 produced shorter peduncle length (30.39 cm), but SAWYT/1 exhibited maximum tillers plant^-1 (7.23) and grain yield plant^-1(12.14 g), while SAWYT/9 articulated the longest spikes (12.60 cm) with maximum grains spike^-1(53.45), SAWYT/7 demonstrated more spikelets spike^-1 (16.52) and SAWYT/4 expressed the most biological yield plant^-1(19.50 g) and seed index (48.63 g). The interrelationship results indicated that all the characters grain yield plant^-1 as a dependent attribute was supported by all the characters very generously which behaved in a highly significant and positive way with the most important traits, grain yield with the correlation coefficient of r = 0.5609**, 0.7999**, 0.6989**, 0.7998**, 0.6998**, 0.5633**, 0.5965** and 0.6994**.  The regression coefficient has been observed with the highest variance ingrain yield plant^-1with the contribution of 63.98% variation by tillers plant^-1, followed by spikelets spike^-1 (48.97%) and biological yield plant^-1 (48.91%) which proved the maximum increase in grain yield was made by these three characters. It was concluded that correlation coupled with regression among yield sharing traits articulated that selection of such good expressing characters would be very effective and progress for desirable traits from selection would also be very high. The identified advanced lines could be utilized in future wheat development programmes to improve yield linked characters.