EVALUATION OF ELITE HOT PEPPER VARIETIES - IPMS ...
EVALUATION OF ELITE HOT PEPPER VARIETIES - IPMS ...
EVALUATION OF ELITE HOT PEPPER VARIETIES - IPMS ...
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Fruit length (cm): Length of ten marketable fruits from each plot for each varieties were<br />
measured at red and dried stage using venire caliper and mean values were taken.<br />
Fruit diameter (cm): Fruit wall was measured from ten marketable fruits of sample plants<br />
from each plot at red ripe and dried stage using venire caliper and mean values were recorded.<br />
3.4.4 Disease reaction<br />
Pest and Disease Incidence (%): The number of infected plants was considered and<br />
percentage of plants infected with bacterial wilt incidence estimated as suggested by Agrios<br />
(2005):<br />
Disease Incidence (%) = Number of infected plants per plot*100<br />
Total number of plants per variety<br />
3.5 Data Analysis<br />
For each measured response variables analysis of variance (ANOVA) mean separation<br />
procedure was carried out. The classical fixed effect analysis of variance model that includes<br />
the main effects of locations, varieties together with interaction effects of locations and<br />
varieties were used. The ANOVA model used for the analysis was: Y ij =µ+V i +L j +(VL) ij +ε ij<br />
Where, Y ij = the mean value of the response variable of the i th variety at the j th location and the<br />
right hand side of the equation gives the grand mean value (µ) and the respective main and<br />
interaction effects of varieties and locations. ε ij is a random error term due to those<br />
uncontrolled factors.<br />
After fitting ANOVA model for those significant interactions or main effects a mean<br />
assumption procedure using LSD mean methods were carried out at required levels of<br />
probability. Simple correlation analysis between different characters was also computed to<br />
observe associations between characters. In order to assess the associations between those<br />
measured response variables a Pearson correlation procedure was carried out. All the<br />
statistical analysis was carried out using SAS-9.2 statistical soft ware package.<br />
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