RT - Journal Article T1 - Detection of Traits Affecting Potato Yield under Drought Stress and Non-Stress Conditions by Multivariate Analyses JF - JSTNAR YR - 2009 JO - JSTNAR VO - 12 IS - 46 UR - http://jstnar.iut.ac.ir/article-1-1113-en.html SP - 131 EP - 140 K1 - Factor Analysis K1 - Principal component analysis K1 - Stepwise regression K1 - Potato. AB - Factor and principal component analyses are widely used in different sciences especially in agricultural science. To determine the factors that create variation between potato cultivars, in normal (non-stress) and water deficit (stress) conditions, two experiments were conducted in the form of randomized complete block design with three replications in summer 2002. Stepwise regression analysis showed that in normal conditions, stem length, number of stems/plant and leaflet width contributed significantly to yield. In stress condition, other than stem length and number of leaves/main stem, leaflet length also entered the model. As is evident, stem length had a detrimental effect on tuber yield in both stress and non-stress conditions. So, this trait could be used as an important criterion for the selection of high yielding genotypes. Principal component analysis revealed that number of stem, leaf length and leaf width were important traits creating variability between potato cultivars, especially number of stem that had high coefficients in the first principal for both environments. Factor analysis distinguished two factors in normal environment named leaf surface and structural attitude factors, and also two factors in stress environment called photosynthetic surface and structural attitude. Therefore, these factors should be intervened and attended to in breeding programs. LA eng UL http://jstnar.iut.ac.ir/article-1-1113-en.html M3 ER -