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Volume 6
Journal of Plant Biochemistry & Physiology
ISSN: 2329-9029
Plant Science 2018
October 29-30, 2018
October 29-30, 2018 | Valencia, Spain
6
th
Global Summit on Plant Science
J Plant Biochem Physiol 2018, Volume 6
DOI: 10.4172/2329-9029-C1-003
Genotype x environment interaction and yield stability of arabica coffee (
Coffea arabica
L.) genotypes
Lemi Beksisa
1, 2
, Ashenafi Ayano
1
and
Sentayew Alamerew
2
1
Jimma Agricultural Research Center, Ethiopia
2
College of Agriculture and Veterinary Medicine-Jimma University, Ethiopia
L
ack of suitable varieties that exhibit stable yield performances across wide ranges of environments because of significant
Genotype x Environment Interaction (GEI) is the major factor 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 GEI 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 Additive
Main effect and Multiplicative Interaction (AMMI), AMMI stability value, cultivar superiority index and yield stability index
were used for the 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 was greater than half
of the total. This indicated the capability of the first two principal component axis for cross-validated variation explained by the
interaction effect. Subsequently, the two high yielding genotypes, namely; G3 (L52/2001) and G9 (L55/2001), on an average,
showed stable performance across environments and 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.com