Study components of productivity in small fruit cucumber hybrids using correlation and regression analysis

Nikolay Velkov

Abstract: The interrelations between basic components of productivity of 12 small fruit cucumber hybrids by correlation and regression analysis were studied. It was established strong correlations between the yield and fruit number average per plant (r = 0.86 – 0.99). Correlation coefficients between yield and average fruit weight differ significantly that depends on fruit size. The correlation is negative in size of fruits 3 – 6 cm (r = -0.89), it is weak in size 6 – 9 cm (r = -0.01) and it is positive in size 9 – 12 cm (r = 0.66). The traits of fruit length, fruit diameter and seed cavity diameter possess weak influence on yield. It was calculated linear regression equations that expressed influence of studied traits on yield. Correlation interrelations between yield received during whole vegetation period (total of 30 harvest times) and yield received during the separate harvests were studied. Correlation was weak between total yield and the yield received from first to fourth harvests (r = 0.43 – 0.59). It was established strong correlations between total yield and the yields received from fifth and subsequent harvests (r = 0.66). It was calculated regression equation that shows relations between total yield and yield received from first to fifth harvests (earliness). The results contribute for increasing effectiveness of selection for productivity in small fruit cucumber hybrid combinations.

Keywords: cucumber; fruits; length; number; weight; yield

Date published: 2017-07-26