Multivariate statistical analysis in chickpea (Cicer arietinum L.) under limited irrigation

پژوهش‌های حبوبات ایران

Article 5, Volume 5, Issue 2, December 2014, Pages 99-110   

Document Type: Original Articles

DOI: 10.22067/ijpr.v1393i2.47041

Authors

Maryam Pirzadeh Moghaddam^* ; Abdolreza Bagheri; Saeed Malekzadeh-Shafaroudi; Ali Ganjeali

Ferdowsi University of Mashhad

Abstract

In order to evaluate of yield and yield components of chickpea genotypes, path analysis set to facilitate the selection of high yielding varieties in limited irrigation. Research was canducted in 2010-2011 growing season at the Agricultural Research Station, Ferdowsi University of Mashhad, by using seven drought tolerante genotypes (recommended from a previous research) in a randomized complete block experimental design with four replications. Plots irrigated twice, first after planting and the second was in late flowering stage. Analysis of variance indicated a significant difference in seed weight, number of primary branches, type of plant growth, number of seeds per plant, harvest index and seed yield (P≤0/05). Analysis showed maximum correlation between biological yield and seed yield (r = +0.64**), followed by harvest index with seed yield (r = + 63/0**) and Type of plant growth. (r =+ 44/0**). Stepwise regression introduced number of primary and secondary branches, number of pod per plant, number of seeds per pod, biological yield, harvest index, Days to pod formation and maturationPath analysis introduced harvest index, biological yield and number of seeds per plant, as important characters, that should be selected indirectly. Principal components analysis, identified five components that explained more than 76 % of the seed yeild variation.

Keywords

Step by step regression; Path analysis; Principel component analysis

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