M. Singh et al., Genotype x environment interaction of crossover type: detecting its presence and estimating the crossover point, THEOR A GEN, 99(6), 1999, pp. 988-995
Genotype-environment interaction (GEI) introduces inconsistency in the rela
tive rating of genotypes across environments and plays a key role in formul
ating strategies for crop improvement. GEI can be either qualitative (i.e.,
crossover type) or only quantitative (i.e., noncrossover type). Since the
presence of crossover-type interaction has a strong implication for breedin
g for specific adaptation, it is important to assess the frequency of cross
over interactions. This paper presents a test for detecting the presence of
crossover-type interaction using the response-environment relationship and
enumerates the frequency of crossovers and estimation of the crossover poi
nt (CP) on the environment axis, which serves as a cut-off point for the tw
o environments groups where different/specific selections can be made. Sixt
y-four barley lines with various selection histories were grown in northern
Syria and Lebanon giving a total of 21 environments (location-year combina
tions). Linear regression of the genotypic response on the environmental in
dex represented a satisfactory model? and heterogeneity among regressions w
as significant. At a 5% level of significance, 38% and 19% of the pairs sho
wed crossover interactions when the error variances were considered heterog
eneous and homogeneous, respectively, implying that an appreciable number o
f crossovers took place in the case of barley Lines responding to their env
ironments. The CP of 1.64 t/ha, obtained as the CP of regression lines betw
een the genotype numbers: 19 and 31, provided maximum genotype x environmen
t-group interaction. Across all environments, genotype nos. 59 and 12 stood
first and second for high yield, respectively. The changes in the ranks of
genotypes under the groups of environments can be used for selecting speci
fically adapted genotypes.