Open Access Journal of Agricultural Research (OAJAR)

ISSN: 2474-8846

Research Article

Analysis of Genotype by Environment Interaction for Agronomic Traits of Bread Wheat (Triticum Aestivum L) Genotype in Ethiopia

Authors: Alemu G*, Mohammed H and Asnake D

DOI: 10.23880/oajar-16000191

Abstract

The study of GEI has assumed great importance in genotype testing programs because yield performance of a genotype is a result of the interaction between the genotype and environment. The study cried out with objectives to determine the effect of genotype, environment, and GEI on agronomic traits and to identify stable genotype for specific adaptation. Fifteen bread wheat genotypes were evaluated by RCBD using four replications at six locations in Ethiopia. Combined analysis of variance showed very highly significant differences (P<0.001) among environments and among genotypes. The GEI was also significant for all agronomic except for tiller number. The Genotype main effect was not significant for grain per spike and tiller number. The significant GEI indicated that performance of the genotypes in agronomic was not consistent over environments; some genotypes performed well at some locations but poorly at other locations. The environment contributed total treatment sum square 80-90% in PHT, TILL and BIO, 70-80% in HI. These traits were determined mainly by the environment. Other yield and yield components contributed 20-60% total sum square of environments. Genotype contributed less than 10% to total treatment sum square in all traits except in GYLD (33.46), HLW (20.4), TKW (38.0) and HI (12.9%). GxE contributed less than 10% to total treatment sum square in BIO. It contributed 10-20% in PHT, TILL and HI, 20-30% in HLW, 30-40% in GYLD, TKW and GNO. The biplot of AMMI revealed clear insight into the specific and general adaptation of genotypes across locations. The AMMI biplot, which accounted for 80.71 PHT, 65.52 TILL, 78.81 GNO, 82.9 BIO, 78.53 HI, 70.1 TKW, 68 HLW and 74.7% GYLD of the GxE interaction, provides the interaction principal component scores of the 1st and 2nd IPCA. High grain yield was harvested from the advanced genotype ETBW9470 and lowest from ETBW8075. The advanced genotype ETBW8427 was the tallest genotype and ETBW8078 was found to be the shortest plant height. The maximum fertile tiller number were obtained from advanced genotype ETBW8070 and minimum tiller number was obtained from the advanced genotype ETBW9464. Advance genotypes ETBW9037 had high number of grain per spike and ETBW8075 had low mean number of grains spike-1 over locations. Advanced genotype ETBW8070 had high biomass yield over the location and ETBW8075 had lowbiomass yield. Maximum harvest index was observed for ETBW9470, while minimum harvest index noticed for ETBW8075.

Keywords: Genotypes; HLW; TKW

View PDF

F1 europub scilit.net

Chat with us on WhatsApp

Welcome to Medwin Publishers. How can we help you today?