Journal of Innovative Agriculture, Volume 9, Issue 2 : 1-4 . Doi : 10.37446/jinagri/rsn/9.2.2022.1-4

Research Note

OPEN ACCESS | Published on : 30-Jun-2022

Adaptability study and yield performance of food barley (Hordeum vulgare L.)

• Workineh Mekasa Buli
• Researcher/Cereal Breeder, Ethiopian Institute of Agricultural Research (EIAR), Ambo Agricultural Research Center (AARC), Ethiopia.

Abstract

A total of ten food barley varieties were evaluated to study their adaptability and yield performance and the combined analysis showed significant differences (p<0.001). Varieties HB-1966 and EH-1493 showed promising results and preferred among the tested varieties. The combined over locations’ grain yield of the varieties ranged from 1589 to 2689 Kg ha^-1, while the range was from 1589 to 4713 Kg ha^-1. This shows that how big the effect of the environment is on the yield of the varieties. The highest grain yield was recorded for HB-1966 followed by EH-1493, where the lowest yield was recorded for Harbu variety. The principal component analysis of the varieties studied showed that the first two PCAs accounted for 85.17% of the total variability in grain yield. Genotypes 2, 5 and 7 are located near the concentric circle and are likely to be stable among the varieties studied.

Keywords

adaptability, food barley, yield, principal component analysis

References

• Asfaw, Z. (1988). Variation in the morphology of the spike within Ethiopian barley, Hordeum vulgare L.(Poaceae). Acta Agriculturae Scandinavica, 38(3), 277-288.

  Buli, W. M., & Ali, H. M. (2021). Assessing genetic Variability in Malt Barley (Hordeum distichon L.) Genotypes in Southeastern Ethiopia. International Journal of Research Studies in Agricultural Sciences (IJRSAS), 7(8), 23-26.

  Buli, W.M., & Beyene, M.M. (2021). Participatory varietal selection of malt barley (Hordeum distichon L.) genotypes. Journal of Innovative Agriculture, 8(4), 43-46.

  Ceccarelli, S. (1989). Wide adaptation: How wide?.  Euphytica, 40(3), 197-205.

  Ceccarelli, S., Grando, S., Shevstov, V., Vivar, H., Yayaoui, A., El-Bhoussini, M., & Baum, M. (1999). The ICARDA strategy for global barley improvement. Rachis, 18(2), 3-12.

  Central Statistical Authority. (2016). Report on area and production of crops: Agricultural sample survey. Addis Ababa, Ethiopia.

  Food and Agriculture Organization of the United Nations. (2005). Estimates of world production and harvested area.

  Gomez, K. A., & Gomez, A. A. (1984). Statistical procedures for agricultural research. John wiley & sons.

  Laurentin, H. E., & Montilla, D. (1999). Analysing genotype by environment interaction in sesame (Sesamum indicum L.) population. Sesame and safflower newsletter, (14), 27-32.

  Lister, D. L., Jones, H., Oliveira, H. R., Petrie, C. A., Liu, X., Cockram, J., ... & Jones, M. K. (2018). Barley heads east: Genetic analyses reveal routes of spread through diverse Eurasian landscapes. PloS one, 13(7), e0196652.

  Mahasi, M. J., Pathak, R. S., Wachira, F. N., Riungu, T. C., Kinyua, M. G., & Waweru, J. K. (2006). Genotype by environment (G×E) interaction and stability in safflower (Carthamus tinctorius L.). Asian Journal of Plant Sciences, 5(5), 1017–1021.

  Zecevic, V., Knežević, D., & Mićanović, D. (2004). Genetic correlations and path coefficient analysis of yield and quality components in wheat. Genetika, 36(1), 13-21.

PDF Download