Vol. 4, Issue 6 (2019)
Evaluation of growth and yield performance of five cucumbers (Cucumis sativus L.) genotypes; Case study Kunduz province, Afghanistan
Author(s): Gul Agha Sadiq, Najibullah Omerkhil, Khalid Akhund Zada, Ali Jawed Safdary
Abstract: This study was carried out to evaluate, five different cucumber (Cucumis sativus L.) genotypes namely Beit Alpha, Soheil, Super Zagross, Liza, and Mehran, for their growth and yield performance under the agro-climatic condition of north-eastern, Afghanistan. The experiment was carried out at the research farm of the agriculture faculty of Kunduz University, Afghanistan. The experiment design was Randomized Complete Block Design (RBCD) with 4 replications and five cucumber genotypes made up treatments. Three middle plants were selected randomly from each plot, tagged and used as sample plants for data collection. Data on vegetative growth and yield parameters were collected and analyzed using Analysis of Variance (ANOVA) for Randomize Complete Block Design (RCBD). The treatment means were separated using Critical difference (CD) at (p<0.05%) probability level. The results obtained from the present study indicated that the genotype Liza performed better with respect to various growth and yield characters such as number of branches, Vine length, number of flower per plant, fruit length, number of fruit per plant, average fresh fruit weight, fresh fruit weight per plant, fruit yield per m2 and hectare. However, the genotype Soheil shows that the best in number of leaves, day to first flower initiation and days to first fruit maturity. Similarly, Super Zagross was only superior in number of fruits per kilogram, whereas; Mehran cultivar had highest fruit diameter. But genotype, Beit Alpha is insignificant with respect to most of the characters evaluated in Kunduz agro-climatic condition. Thus, Liza genotype could be recommended to the farmers for better cucumber production in Kunduz agro-climatic region, North-Eastern Afghanistan.