AMMI BIPLOT ANALYSIS OF GRAIN YIELD PERFORMANCES OF TEF (ERAGROSTIS TEF [ZUCC.] TROTTER) VARIETIES ACROSS DIFFERENT LOCATIONS OF SOUTH AND SOUTHWESTERN ETHIOPIA

TEGEGN BELETE; KEBEBEW ASSEFA; SENTAYEHU ALAMEREW

doi:10.22159/ijags.2021.v9i2.41100

Authors

TEGEGN BELETE EIAR, Jimma Research Center, P.O.Box 192, Jimma, Ethiopia.
KEBEBEW ASSEFA EIAR, Debre Zeit Agricultural Research Center P.O.Box, 32, Debre Zeit, Ethiopia.
SENTAYEHU ALAMEREW Jimma University College of Agriculture and Veterinary Medicine, P.O.Box, 307, Jimma, Ethiopia.

DOI:

https://doi.org/10.22159/ijags.2021.v9i2.41100

Keywords:

AMMI model, Eragrostis tef, Varieties, Yield performance

Abstract

Objective: The objective of the study was to identify high yielding and stable tef varieties across different locations of South and Southwestern part of Ethiopia.

Methods: The experiment was conducted using 21 tef varieties obtained from a tef breeding program based at Debre Zeit Agricultural Research Center. The trial was laid out using a randomized complete block design with three replications at six locations during the 2018 cropping season. Data for all relevant agronomic traits were collected, but only plot yield data converted to kg/ha was subjected to statistical analysis.

Results: The results of combined analysis of variance for grain yield of 21 tef varieties across six locations revealed that there is a highly significant difference among the locations, genotypes, and interaction effects with the contributions of 67.4, 8.1, and 17.8% of sum of squares, respectively. Analysis of variance of AMMI model revealed the two interaction principal component analysis (IPCA1 and IPCA2) were highly significant according to Gollob’s test and accounted for 42.8 and 20.6% of variance, respectively.

Conclusion: Based on AMMI Biplot analysis, Ambo location could be the representative area among tested locations to determine the tef varieties and the variety Heber-1 (G11) and Dukem (G15) were recommendable for broad adaptation since they were stable and high yielding across locations.

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