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.com
Volume 6, Issue 4 (Suppl)
Agrotechnology, an open access journal
ISSN: 2168-9881
Agri 2017
October 02-04, 2017
allied
academies
10
th
International Conference on
AGRICULTURE & HORTICULTURE
October 02-04, 2017 London, UK
Genotype X environment interaction and yield stability of arabica coffee (
Coffea arabica
L.) genotypes
Lemi Beksisa
1
, Sentayew Alamerew
2
and
Ashenafi Ayano
1
1
Jimma Agricultural Research Center, Ethiopia
2
Jimma University, Ethiopia
L
ack of suitable varieties that exhibit stable yield performances across wide ranges of environments as a result of significant
genotype x environment interaction (GEI) is the major factors among several production constraints contributing to low
productivity of Arabica coffee in Ethiopia. In the present study, eleven advanced Limmu coffee genotypes were evaluated
in eight environments (four locations over two years) to determine the existence of G x E interaction and yield stability
performances. The experiment was laid out in a Randomized Complete Block Design of two replications under all locations.
Combined analysis of variance showed a highly significant effect of genotype by environment interaction indicating the
differential yield response of genotypes across different environments. The major proportion of the variation explained by
environments was 42.74% of the total variation. Nevertheless, the contribution of the genotypes to the total variance was much
smaller than the environments, and the genotype by environment interactions. This suggests that environmental variation,
among other variance components, was the major factor affecting the yield performance of coffee genotypes. To this effect,
different stability models such as AMMI, AMMI stability value, cultivar superiority index and yield stability index were used
for stability analysis. The first two Interaction Principal Component Axis (IPCAs) of AMMI exhibited a highly significant effect
and cumulatively contributed about 63.21% of the total interaction sum of squares which is greater than half of the total. This
indicated the capability of the first two principal component axis for cross-validation variation explained by the interaction
effect. Subsequently, two high yielding genotypes, namely; G3 (L52/2001) and G9 (L55/2001), on average, showed stable
performance across environments. On the other hand, the study also illustrated the presence of location specific high yielding
coffee genotype such as L56/2001 as a result of significant interaction of the genotypes with the environments. Regarding to test
environments, Gera 2015/16 (E5) regarded as a more stable site for coffee bean yield improvement over the rest environments
due to the IPCA score nearer to zero which is having little interaction effect, while Agaro 2015/16 (E7) was considered to be the
most interactive environment. Based on the result of this study, coffee breeders or farmers would be recommended for wisely
selecting either for location specific or wider adaptable coffee genotypes leading to substantial yield increment under Limmu
coffee growing areas.
lbeksisa@gmail.comAgrotechnology 2017, 6:4(Suppl)
DOI: 10.4172/2168-9881-C1-028