Application of multivariate statistical methods for identification of traits affecting native ecotypes of fenugreek (Trigonella foenum-graecum L.)

محمد زاده, فاطمه and محب الدینی, مهدی and آل ابراهیم, محمد تقی Application of multivariate statistical methods for identification of traits affecting native ecotypes of fenugreek (Trigonella foenum-graecum L.). In: 2nd International and 6th National Iranian Congress on Organic vs. Conventional Agriculture, August 2019, Ardabil, Iran.

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Abstract

In order to investigate the effectiveness of multivariate statistical methods in identifying the most important traits affecting grain yield, determining the contribution of each trait to yield changes and grouping 26 Fenugreek massifs from different parts of the country were collected and a completely randomized block design with three replications at the University of Mohaghegh Researcher Ardebili in 1397. The results showed. Which masses examined Most of the studied traits were significantly different in the probability level of 5% and 1%. The correlation coefficient between all traits of the studied masses showed that there was a positive and significant correlation between stem dry weight trait with stem height, length of pod, 1000 seed weight and leaf area, with correlation coefficients of more than 50 (r>50). The highest correlation was observed between stem height and shoot dry weight (0.623 *). Also, factor analysis determined the traits in four main and independent factors. These factors with special values of more than one, total 73/214% of the total variance was explained. In general, the results of this study showed that Iranian indigenous species of fenugreek have a high diversity in terms of studied traits.

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