Welcome to International Network for Natural Sciences | INNSpub

Paper Details

Research Paper | December 1, 2014

| Download 2

Multivariate analysis of important morphological traits in some rapeseed (Brassica napus L.) Genotypes

Mahsa Mohammadjani Asrami, Hamid Najafi Zarrini, Seyyed Rasoul Mousavi

Key Words:

Int. J. Agron. Agri. Res.5(6), 9-14, December 2014


IJAAR 2014 [Generate Certificate]


In order to determine traits relationship and genetic diversity in some commercial genotype in Canola based on morphological traits, an experiment was conducted with eight Canola varieties in a Randomized Complete Block Design (RCBD) with three replications in experimental field of Sari Agriculture and Natural Resources University of Iran. The correlation coefficients illustrated that there are a positive and highly significant genotypic character association between plant height and Percent of oil per plant (0.511),plant height and Percent of protein (0.840), seeds per siliqua and siliqua length (0.914), 1000-seed weight and Percent of oil (0.762). Determination of correlation coefficients is an important statistical procedure to evaluate breeding programs for high yield. Stepwise regression indicated that 85/37% total variation exists in these traits accounted by the traits 1000- seed weight and Percent of glucosinolate. Principal component analysis (PCA) and factor analysis were used for understanding the data structure and traits relationship. Results of principal component analysis of genotypes showed that first three factor represent 87.5 percent of variance. Cluster analysis based on agro morphological traits divided 8 accessions into 3 Clusters. PCA appears to be a useful technique to differentiate between cultivars/breeding lines for selection purposes.


Copyright © 2014
By Authors and International Network for
Natural Sciences (INNSPUB)
This article is published under the terms of the Creative
Commons Attribution Liscense 4.0

Multivariate analysis of important morphological traits in some rapeseed (Brassica napus L.) Genotypes

Abozary Gasaforodi A. 2002. Genetic and morphological diversity of correlation and data storageprotein electrophoresis in rice varieties. MS Thesis. Faculty of Agriculture, Guilan University. 119 pp.

Agrama HAS. 1996. Sequential path analysis of grain yield and its components in maize. Plant Breeding. 115,343-346.

Aytaç Z, Kinaci G, Kinaci E. 2008. Genetic variation, heritability and path analysis of summer rapeseed cultivars, J. Appl. Biol. Sci., 2, 35-39.

Bagheri HR, Safari S, Heidarian A, Yusefian Z. 2008. Relationship between traits and path analysis for seed and oil yield in canola cultivars. Proceedings of the 1th symposium of canola. Islamic azad university of Shahrekord. 8-10 August.

Baradaran R, Majidi harvan A, Darvish F, Azizi M. 2006. Relationship between correlation and path coefficient analysis of yield in Canola.

Khan FA, Ali S, Shakeel A, Saeed A, Abbas G. 2006. Correlation analysis of some quantitative characters in Brassica napus L. J Agric Res. 44, 7-14.

Khayat M, Lack Sh, Karami H. 2012 Correlation and path analysis of traits affecting grain yield of canola (Brassica napus L.) varieties. J. Basic. Appl. Sci. Res 2 , 5555-5562.

Leilah AA, Al-Khateeb SA. 2005. Yield analysis of canola (Brassica napus L.) using some statistical procedures. Saudi J Bio Sci 12, 103-113.

Marjanovic-Jeromela A, Kondic-Spika A, Saftic- Pankovic D, Marinkovic R, Hristov V. 2009. Phenotypic and molecular evaluation of genetic diversity of rapeseed (Brassica napusL.) genotypes. African Journal of Biotechnology 8, 4835-4844.

Qulipor A, Latifi N, Qasemi K, Moqadam M. 2004. Comparative growth and grain yield of Canola under dry land conditions in Gorgan. Journal 11, 5-14.

Rahnamaee  tak  A,  Vaeezi  Sh,  Masafari  J, Boshehri AA. 2007. Correlation and causalityanalysis and yield-related traits in red beans. Iranian Journal of Research and development (agronomy Journal). 80, 95-102.

Semahegn Belete Y. 2011. Genetic variability, correlation and path analysis studies in Ethiopian Mustard (Brassica carinata A. Brun) Genotypes. Int. J. Plant Breed and Genet 5, 328-338.

Sharma S. 1996. Applied Multivariate Techniques. 1st ed. John Wiley and Sons, New York. pp: 493.

Shirany rad AH. 1994. Effect of planting date and plant density on growth and agronomic traits ofrapegrain cultivars. MS Thesis. Faculty of Agriculture, Tarbiat Modarres University.

Sneath PHA, Sokal RR. 1973. Numerical taxonomy (Freeman, San Francisco, CA).

Stamer DE, Hamama AA, Bhardwaj L. 1999. Canola oil yield and quality as affected by production practices in Virginia, In: Janick J., (ed.) Perspectives on new crops and new uses, ASHS Press, Alexandria, VA. pp. 254-256.

Tuncturk M, Ciftci V. 2007 -Relationships between yield and some yield components in rapeseed (Brassica napus ssp. oleiferaL.) cultivars by using correlation and path analysis. Pak. J. Bot 39, 81-84.

Yasari E, Patwardhan AM. 2007. Effects of (Azotobacter and Azospirillum) Inoculants and chemical fertilizers on growth and productivity of canola (Brassica napus L.). Asian J. Plant Scince 6, 77-82.


Style Switcher

Select Layout
Chose Color
Chose Pattren
Chose Background