جستجوی مقالات مرتبط با کلیدواژه "canonical discriminant analysis" در نشریات گروه "زراعت"

Canonical discriminant analysis (CDA) in combination with cluster analysis and genotype by trait (GT) biplot analysis methods were used to assess 9 wheat cultivars having different degrees of tolerance along with 36 F1 hybrids derived from partial diallel crosses, using stress tolerance indices, in two levels (well watered and cessation of irrigation at pollination stage). Cluster analysis classified genotypes into three clusters and the results used to CDA as classifying variable. The first canonical variable was under the influence of high canonical coefficients for STI, HM, MP, GMP, Yp and Ys. Canonical coefficients for SSI and TOL in the second canonical variable were remarkable. The first canonical variable differentiated genotypes based on yield potential and stress tolerance and the second canonical variable distinguished stress tolerant genotypes from the sensitive ones. The scatter plot of two significant canonical variables characterized three distinct groups and all pairwise Mahalanobis distances among groups were significant. The genotypes in group 1 had high yield in stress and non-stress conditions and the genotypes of group 3 had more stress tolerance and less susceptibility to stress. To identify tolerant and high yielding genotypes in both stress and non- stress conditions, GT biplot analysis based on combination of STI and SSI was used and superior genotypes which simultaneously have higher yield potential and stress tolerance were introduced.

To assess the genetic variability of grain yield, yield components and some morphological traits in 99 bread wheat lines deriven from local genotypes, an experiment was carried out based on randomized complete block design with three replications during the 2010-11 and 2011-12 cropping seasons at Saatlou Station of Agricultural and Natural Resources Research Center of Urmia and at Research Field of Urmia University. Analysis of variance for biological yield and grain yield showed significant differences among lines in both years. The highest biological and grain yield belonged to line No. 18 and line No. 87, respectively. Combined analysis of variance indicated significant differences among interactions between lines and years for all studied traits except awn length, number of spikelets/spike and number of grains/spike (P

Chrysanthemum is one of the most important ornamental plants. The genus chrysanthemum is a popular cut flower، medicinal and pot plant. Morphological traits such as cut rooting and leaf characteristics and genetic diversity among 50 genotypes of chrysanthemum morifolium were analyzed. Based on analysis of variance of data all traits in the studied genotypes showed significant differences at 1% level. The results of correlation coefficient indicated a positive and significant correlation between stem length، leaf length، leaf width and leaf serration number. The leaf length showed the highest correlation (r = +0. 90**) with leaf width. Results showed that stem length and petiole length had the highest (h2>80%) heritability. Cluster analysis according to the morphological traits using the Ward method classified all the genotypes into six groups. In this classification، two genotypes (‘Takapo’ and ‘Poloneh’) were classified into one cluster that was characterized by tall stem and low branch number. In this study، canonical discriminant analysis of 20 morphological traits revealed that 3 canonical discriminant variables explained 89. 6% of the total variation among genotypes. Results revealed that among the studied traits، number of cutting root، leaf size، petiol length، stem length، number of branches and number of offsets were the most important traits for discriminating among chrysanthemum genotypes. The results of this study indicate that these traits are useful for selecting and identify superior genotypes of chrysanthemum germplasm. Using some of the genotypes belonging to cluster A (with a small size of plant) and genotypes belonging to cluster E (with a large size of plant) as parents can be practiced as a criteria for breeding programs.

This study was conducted to assess sources of genetic and phenotypic variability of eight different alfalfa populations. Thirteen morphological and agronomic traits were measured on studied populations. The traits included plant Height, leaf chlorophyll content, total fresh weight, total dry weight, leaf fresh weight, leaf dry weight, stem wet weight, stem dry weight, number of stems, number of leaves, ratio of number of leaves to number of stem, ratio of leaf dry weight to stem dry weight and total dry weight: total wet weight ratio. Multivariate data set was analyzed by Canonical Discriminant Analysis (CDA) in combination with a clustering procedure. The first two canonical variables were significant and canonical variables indicated that leaf dry weight, total dry weight, total fresh weight, leaf fresh weight and stem fresh weight are the most differentiating traits among the studied traits of plant populations. The canonical variables were used for clustering the populations into three main groups. CDA was useful in identifying the genetic variation and the traits that better describe the variation among the alfalfa populations. Effective traits identified in the variation between populations included that leaf dry weight, total dry weight, total fresh weight, leaf fresh weight and stem fresh weight and plant height. Recognize the diversity of these traits among the cultivated alfalfa allow to plant breeders that focus on specific traits that contribute to variation. Cluster analysis was successful in differentiating the populations into similar main groups on the basis of the measured traits.

This study was conducted to assess the sources of genetic and phenotypic variability of Common bean genotypes. Fourteen morphological and agronomic traits were measured on 49 common bean genotypes. These traits included: days to 50% flowering, days to 50% Podding, pod length, pod wide, seeds per pod, seed length, seed wide, stem diameter, seed and pod weight, number of full pod, number of total pod, seeds per plant, 100-seeds weight and seed yield per plant. The multivariate data set was analyzed using Canonical Discriminant Analysis (CDA) in combination with a clustering procedure. In this analysis, the first two canonical varieties were significant and justified 88.5% and 94.7% of variances in normal condition and drought stress, respectively. According to cluster analysis, genotypes were divided in 4 categories. Canonical discriminant analysis is useful in identifying the genetic variation and describes the variation among common bean genotypes. Cluster Analysis was successful in differentiating the varieties into similar subgroups based on the measured traits.