Eleven genotypes of Bread Wheat (Triticum aestivum L.) were tested at three diverse
locations in the Syrian Coast during the 2015-2016 season under rain-fed conditions to
assess these genotypes and to study the Genotypes x Environments Interactions
, and yield
stability across environments using 5 statistical measures of stability:{ X¯i, bi, and i
according to Eberhart and Russell (1966), Stability Variance Index (2
i) according to
Wricke and Weber (1980), Ecovalance Stability Index (Wi) according to Wricke (1962)}.
Genetic material included 5 promising lines and 6 local varieties (provided by ACSAD and
GCSAR).The experiment was designed using randomized complete block design with
three replications, statistical data analysis was done, and least significant difference
(L.S.D) test at 5% was applied for comparison of means. Significant differences were
observed among bread wheat genotypes for grain yield (ton/ha), combined analysis of
variance of grain yield across the three environments showed significant mean squares due
to genotypes, environments and genotypes x environments interaction, suggesting
differential responses of genotypes across studied environments and validity of stability
analysis.
Stability analysis for grain yield revealed that; the promising line ACSAD-1147 and
Doma6 were more stable than other genotypes. Due to they had superior ranks for both
average yield over environments and yield stability, which reveals the importance of these
genotypes to reach varieties that combine relatively high yield and better stability in any
future breeding programs.
Twenty four genotypes were tested for grain yield in four diverse locations
over two seasons i.e. 2005-06 and 2006-07. The genetic material contained 19
promising lines and five checks representing the local and improved cultivars
for Zoon B (250-
350 mm/year) in Syria. The results showed the significant role
of the genotype by environment interaction of crossover type in the
performance of the genotypes studied and their ranking across test
environments.
The largest portion of the variance due to GE interaction was
attributed to genotype by season GS and Genotype by location by season GLS
interactions which revealed the importance of selection for yield stability in
addition to average yield across environments.
