Genetic diversity and path analysis of grapevine (Vitis vinifera L.) yield components in different environmental conditions

Subject Areas : Journal of Plant Ecophysiology

V. Rasoli ¹ , E. Farshadfar ² , J. Ahmadi ³

1 - - دانشجوی دکتری دانشگاه رازی کرمانشاه و عضو هیأت علمی مرکز تحقیقات کشاورزی و منابع طبیعی قزوین
2 - استاد دانشگاه رازی کرمانشاه
3 - دانشیار دانشگاه بین المللی امام خمینی قزوین

Received: 2015-01-26 Accepted : 2015-01-26 Published : 2015-01-01

Keywords: path analysis, genetic contribution, grapevine yield,

Abstract :

Abstract Yield components and genetic contribution in final yield have important roles in crop plants breeding programs. For this purpose, 20 varieties of grapevines with Russia origin were evaluated in Urmia and Takestan research station (under full irrigation and drought stress). This research was performed in randomized complete block design with three replications and three plants in each plot in 2012. Number of cluster per plant, number of berry per cluster, berry weight and yield per plants were recorded. Compound and logarithmic analysis of variance, genotype and environmental interaction effects were estimated by multiplicative three environmental and genotypic elements. Results of path analysis indicated that the number of cluster per plant had the highest genetic contribution in final yield and the most sensitivity and variation in different environments. Direct effect of the number of cluster per plant in final yield (0.61) was higher than direct effect of the number of berry per cluster (0.48) and berry weight (0.30). Path coefficient of number of cluster per plant value was higher than path coefficient berry per cluster and berry weight.Therefore, the sequence of manifestation of yield components was number of cluster per plant, number of berry per cluster and berry weight, respectively. Environmental components of interaction effects indicated that absolute value of number of cluster per plant was higher than number of berry per cluster and berry weight. This indicated higher sensitivity of number of cluster per plant in different environments.