Journal of Innovative Research in Engineering Sciences

Issn:2476-7611

Article

Assessment of Genetic Diversity and Determination of the Best Selection Indices for Genetic Improvement of Yield in Segregation Generations of Cucumber

Mahnaz Taheri, Maryam Golabadi
Abstract

In order to evaluate the amount of genetic diversity associated with total fruit yield and determining its affecting traits in two cucumber segregating populations (S2 and S3), 150 genotypes as 15 family, 10 plants of each family for every generation were sown in research greenhouse of Islamic Azad University, Isfahan Branch, as augment in randomized complete blocks design with three replications. Genotypes Sina, Nasim and Khasib were considered as control treatments. Toweny nine morphological, phonological and fruit weight and fruit number (on three growth stages) traits were recorded. The results of variance analysis on controls showed that blocks didn’t affect on traits, significantly, and therefore didn’t need to correct blocks effects. In S2 population, the highest fruit number of each harvesting was observed in family No.2. On the other hand, average fruit number, total and average fruit weight, plant height in the middle of growth, stem diameter, total fruit number and weight in second growth period and average fruit weight in second and third growth period showed high amounts. In contrast, average fruit number of first growth period was low for this family. In S3 population, the highest fruit number of each harvesting was belonging to family No.5 and average fruit number and fruit weight, fruit quality, average fruit weight in third growth period and fruiting period showed high amounts in this family, whereas fruit number in every node was low. Total fruit yield showed the highest correlation with total fruit number. Also, it had considerable positive correlation with average fruit number and fruit weight. In stepwise regression, when total fruit yield was considered as dependent variable and other trait were considered as independent variables, total fruit number, total and average fruit number in third growth period,  average and  total fruit number of second growth period explained  %100 of variation in S2 population. In S3 population, total fruit number and node number could explain more than 98.54% of variation in dependent variable. These traits must be considered in explanation of total fruit yield variation. Pathway analysis showed that total fruit number had main direct positive effect on total fruit yield. On the other hand, fruit length and fruit diameter had indirect positive effects on total fruit yield. 

Published on the web: 2018-12-26
Received : 2018-10-21
Submitting : 2018-09-12
Keywords
Keyword:1- Cucumber
Keyword:2- segregating population
Keyword:3- correlation
Keyword:4- stepwise regression
Keyword:5- Pathway analysis

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Reference

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