Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Genotype by Environment interaction of food barley (Hordeum vulgare L.) genotypes in Southern Ethiopia

*Corresponding Author:

Copyright: © 2020  . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 
To read the full article Peer-reviewed Article PDF image

Abstract

Multi-environment trials are essential to evaluate the genetic potential of the testing materials. The objective of this paper was to determine the magnitude and pattern of the genotype by environment interaction and stability of the varieties. Fifteen nationally released food barley varieties were planted in randomized complete block design with four replications. The additive main and multiplicative interaction effects analysis for grain yield showed that environment, GEI and variations due to genotypes were highly significant (p<0.01). They accounted for 55.76, 13.77, and 7.53% of the total sum of squares, respectively. Large sum of squares indicated that the environments were diverse; causing most of the variation in grain yield. The most stable genotypes with lowest ASV value were Gabulla, Ardu-12-60B, Agegnehu and Dimtu, whereas the most unstable genotypes were HB-1307, Cross-41/98, Estayish and Yedogit. In GGE bi plot for grain yield of food barley genotypes, the first and second components captured 73.4% and 18.8% of the G+GE sum of square, indicates different genotypes win in different sectors. Therefore, the result of this experiment might be used to recommend unstable genotypes for study areas.

Keywords

Top