ARJASR

ISSN: 2360-7874

 Academic Research Journal of Agricultural Science and Research
 

Vol. 7(7), pp. 408-413, November 2019
DOI: 10.14662/ARJASR2019.123
Copy©right 2019
Author(s) retain the copyright of this article
ISSN: 2360-7874
http://www.academicresearchjournals.org/ARJASR/Index.htm
 

Research

Contribution of  Morphological Traits to the Total Variability in Soybean (Glycine max (L.) Merr.)  Genotypes in Western Parts of Ethiopia

Yechalew Sileshi^1,4, Andargachew  Gedebo² and Abush Tesfaye³ and Mesfin Hailemariam¹

¹Ethiopian Institutes of Agricultural Research, Jimma Agricultural Research center, Department of Field crop division,

² Associate Professor, Hawassa University College of plant and horticultural sciences

³International institute of Tropical Agricaltur, PMB,Nigeria,

⁴National Lowland oil Crops Research Coordinator and Representative of Pulse, Oil and Fiber Crops research division

Accepted 4 November 2019

The present study was carried out using thirty-six soybean genotypes. The field experiment was conducted during the 2017/2018 main cropping season in western Ethiopia. The experimental design was triple lattice. Data were collected on 14 quantitative morphological traits with the objectives of to determine the contribution of morphological traits to the total variability in soybean. The result indicates that only the first four principal components explain 82% of the total variation. The first Principal component contributed 42 % of the total variation and dominated by days to flowering, days to maturity, plant height, number of nodes and internodes length. The second principal component explained 22 % of the total variation and most contributing traits were pod width and hundred seed weight while the PC3 explained 11 % of the total variation and dominated by number of nodes. PC4 explains7 % of the total variation and more related with grain yield. Pod per plant, seed per plant and seed per pod showed positive association with grain yield, suggesting that considering the most contributing traits are important for the improvement of soybean yield.

Key words: Bi-plot, PCA ; quantitative, Soybean.

How to cite this article (APA Style): Yechalew S., Andargachew G., Abush T (2019). Contribution of Morphological Traits to the Total Variability in Soybean (Glycine max (L.) Merr.) Genotypes in Western Parts of Ethiopia. Acad. Res. J. Agri. Sci. Res. 7(7): 408-413