Title of article :
Study on the most important agronomical traits of 13 tomato cultivars through factor analysis
Author/Authors :
Daneshvar ghorbani، Behzad نويسنده Master of Science Department of agronomy and plant Breeding, Sabzevar Branch, Islamic Azad University, Sabzevar, Iran , , Zaefizadeh، Mohammad نويسنده National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran , Iran , , Jannat Abadi، Ali Akbar نويسنده Assistant Professor Department of agronomy and plant Breeding, Sabzevar Branch, Islamic Azad University, Sabzevar, Iran , , Karimi، Farrokh نويسنده Department of Biotechnology, Faculty of Science, University of Maragheh, Maragheh, Iran ,
Issue Information :
روزنامه با شماره پیاپی 0 سال 2013
Pages :
3
From page :
631
To page :
633
Abstract :
In order to classify tomato cultivars based on interested traits, an experiment was conducted on 13 genotypes in the form of randomized complete blocks (RCB) design, with three replications, in Karaj region during year 2012. Factor analysis led to selection of 4 factors with high Eigen values, which together accounted for 87.327% of initial data variance. Based on results from factor analysis, most of the traits had high communalities which indicates that right number of factors have been selected to optimally account for variation of the traits. First factor accounted for the highest proportion (39.619%) of data variation, wherein traits such as fruit length, fruit diameter, pith size and fruit number per vine had great coefficient. Therefore, this factor can be designated as the factor of yield components. Second factor accounted for 20.687% of the variations. Traits such as leaf width and leaflet size were effective on this factor; thus it can be designated to as factor effective on plant leaf. Third factor accounted for 14.022% of the variations. Traits such as length of internode and thickness of fruit wall were effective on this factor. Finally, fourth factor accounted for 12.998% of the variations, while traits such as leaf length and peduncle length were effective on this factor, thus it can be designated as height factor. Together, the four factors accounted for 87.327% of data variation. In general, these four factors evaluated one specific trait against the others.
Journal title :
International Journal of Farming and Allied Sciences
Serial Year :
2013
Journal title :
International Journal of Farming and Allied Sciences
Record number :
944316
Link To Document :
بازگشت