Univrsity of Tehran Press Iranian Journal of Field Crop Science 2008-4811 48 4 2018 02 20 Grouping of rice (Oryza sativa L.) lines based on multivariate analysis under drought stress condition Grouping of rice (Oryza sativa L.) lines based on multivariate analysis under drought stress condition 1027 1039 65384 10.22059/ijfcs.2017.217039.654188 FA Habibollah Samizadeh Maryam Danesh Gilevaei guilan university Babak Rabiei guilan university 0000-0001-5432-4498 Journal Article 2016 11 14 For evaluation and grouping of 150 inbred lines of rice based on some morphological and physiological traits, an experiment was conducted using Augment design based on randomized complete block design (RCBD) with four replications in Agricultural College of Guilan University, in 2013. Correlation coefficients between traits showed a significant correlation between grain yield with almost all of traits. Factor analysis showed that four independent and main factors explained 94.23 percent of total variance in all lines. The first factor with 51.99 percent of variance was named as the yield components and fertility rate. The second factor with 25.41 percent of variance was nominated as fertility rate, the yield and the yield components. The third factor with 11.50 percent of variance was nominated as physiologic traits. The fourth factor with 5.33 percent of variance was nominated as plant morphologic. Cluster analysis by ward method with a 92.7 percent of original grouped cases correctly classified four distinct groups for studied lines. Finally, to select high-yielding lines and tolerate to drought stress in rice simultaneously selection can be carried out for traits such as number of total spikelet per panicle, number of filled grain per panicle; spikelet fertility, proline content, chlorophyll a, chlorophyll b, total chlorophyll and relative water content. For evaluation and grouping of 150 inbred lines of rice based on some morphological and physiological traits, an experiment was conducted using Augment design based on randomized complete block design (RCBD) with four replications in Agricultural College of Guilan University, in 2013. Correlation coefficients between traits showed a significant correlation between grain yield with almost all of traits. Factor analysis showed that four independent and main factors explained 94.23 percent of total variance in all lines. The first factor with 51.99 percent of variance was named as the yield components and fertility rate. The second factor with 25.41 percent of variance was nominated as fertility rate, the yield and the yield components. The third factor with 11.50 percent of variance was nominated as physiologic traits. The fourth factor with 5.33 percent of variance was nominated as plant morphologic. Cluster analysis by ward method with a 92.7 percent of original grouped cases correctly classified four distinct groups for studied lines. Finally, to select high-yielding lines and tolerate to drought stress in rice simultaneously selection can be carried out for traits such as number of total spikelet per panicle, number of filled grain per panicle; spikelet fertility, proline content, chlorophyll a, chlorophyll b, total chlorophyll and relative water content. https://ijfcs.ut.ac.ir/article_65384_c5f04b97fb0ab32011d099108469e3e5.pdf