University of Tabriz Journal of Agricultural Science and Sustainable Production 2476-4310 24 3 2014 11 06 Use of Multivariate Methods in Study the Effect of Municipal Solid Wastes Compost and Vermicompost on Growth and Yield Parameters of Canola Use of Multivariate Methods in Study the Effect of Municipal Solid Wastes Compost and Vermicompost on Growth and Yield Parameters of Canola 49 58 2729 FA M Rashtbari HA Alikhani Journal Article 2012 10 09 In order to determination of the relation between grain yield and yield components of canola, a greenhouse experiment was conducted as factorial arrangement based on randomized complete block design with four replications in soil science department, Tehran University. Treatments consisted of three levels of irrigation, including: normal irrigation (0.75 FC), mild stress (0.55 FC) and severe stress (0.35 FC), and biofertilizer combination in five levels including: non-application of biofertilizer (control), application of municipal solid waste compost at two and four percent levels and application of vermicompost at two and four percent. In the present study 11 traits such as yield, height, pod number, nitrogen and phosphorous amounts in plant shoot and some of growth indices were determined. Results of correlation coefficients showed that plant pod number has greatest correlation coefficient (r=0.958) and dry matter percent has the lowest correlation (r=0.265) with yield. In stepwise regression method only number of sheaths and shoot phosphorous content were entered to regression model. In principal components analysis plant height was placed in first factor and grain yield was placed in second factor representing that above-mentioned traits together with each other caused increase in grain yield under drought stress conditions. According to correlation results and principal component analysis could be said that by improving plant growth traits, higher genotypes and more sheath number could be produced. In order to determination of the relation between grain yield and yield components of canola, a greenhouse experiment was conducted as factorial arrangement based on randomized complete block design with four replications in soil science department, Tehran University. Treatments consisted of three levels of irrigation, including: normal irrigation (0.75 FC), mild stress (0.55 FC) and severe stress (0.35 FC), and biofertilizer combination in five levels including: non-application of biofertilizer (control), application of municipal solid waste compost at two and four percent levels and application of vermicompost at two and four percent. In the present study 11 traits such as yield, height, pod number, nitrogen and phosphorous amounts in plant shoot and some of growth indices were determined. Results of correlation coefficients showed that plant pod number has greatest correlation coefficient (r=0.958) and dry matter percent has the lowest correlation (r=0.265) with yield. In stepwise regression method only number of sheaths and shoot phosphorous content were entered to regression model. In principal components analysis plant height was placed in first factor and grain yield was placed in second factor representing that above-mentioned traits together with each other caused increase in grain yield under drought stress conditions. According to correlation results and principal component analysis could be said that by improving plant growth traits, higher genotypes and more sheath number could be produced. https://sustainagriculture.tabrizu.ac.ir/article_2729_6c71c09dbbbe07d3172f1ae3cfd1aa2d.pdf