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EVALUATION OF PROMISING WHEAT GENOTYPES BY THE STABILITY ANALYSIS THROUGH PARAMETRIC & NON-PARAMETRIC METHODS (Pages : 9 - 16)

SURAIYA YASMIN

The purpose of the present study was to compare between the application of Non Parametric Stability Analysis (NPSA) and Parametric Stability Analysis (PSA) with appropriate tests in addition to utilization of exact size -? test in solving the stability measures for heterogeneous environments. NPSA vs. PSA statistics subsist some advantages and use of non parametric statistics S1 (1) and S2 (2) values, together with ranks of genotypes grown in different environments can be recommend to breeders and agronomists who make selection based upon genotype x environment interaction. The wheat performance trial (AYT) was conducted with ten promising lines along with two check varieties Kanchan and Shatabdi under optimum seeding time at Dinajpur, Jamalpur, Jessore, Ishurdi and Joydebpur. The experiments were laid out in Randomized Complete Block Design (RCBD) during 2002-2003 with four replicates at each location under the supervision of WRC (Wheat Research Center). The yields of wheat varieties are location invariant and hence the high yielding varieties against bi, sdi 2 values. From the statistical analysis we observe that no significant differences in rank stability were found among the ten genotypes grown in five environments. Genotypes 6 (BAW-1030) , 8 (BAW-1035) and 10 (BAW-1038 ) are the most stable and well adapted to all environments due to non significant Sdi 2 value, bi ? 1 and lower S1 (1) values than other genotypes with mean yield ? grand mean. On the other hand, genotypes 4 (BAW-1028), 7 (BAW-1033) and 9(BAW-1036) have an increasing sensitivity to environmental change and greater specificity of adaptability to high-yielding environments. However, BAW-1021 (G3) was poorly adapted genotypes to all environments and only one genotype BAW-28 (G1) that response greater resistance to environmental fluctuation, and therefore increasing specificity of adaptability to low-yielding environments. Download


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