Yield forecasting in cardamom (Elettaria cardamomum Maton) plantations under intensive management

A study was undertaken to develop a model for forecasting the yield in cardamom plantations under intensive management. Thirteen biometrical characters namely tillers per clump, tiller height leaves per tiller, vegetative buds per clump, bearing tillers per clump, panicles per clump, panicle length, racemes per panicle, capsules per raceme, seeds per capsule, leaf length, leaf breadth and recovery percentage were chosen as explana tory variables and they exhibited a precision of about 82%. Step down regression resulted in the retention of only four characters namely, panicles per clump, racemes per panicle, capsules per raceme and leaf breadth with which yield can be estimated with around 77% precision. &nbsp

Factor analysis in cardamom (Elettaria cardamomum Maton)

A pooled factor analysis of 17 variables representing morphological, yield contributing and qualitative characters of 90 genotypes of cardamom (Elettaria cardamomum) was carried out at Myladumpara (Kerala), for identifying marker characters which accommodate the inheritance of associated characters. Among the 17 characters subjected to the analysis, 6 factors were identified as having maximum influence on growth, yield and quality of cardamom. Among the six factors identified, three factors controlled yield and yield contributing characters, two factors controlled qualitative characters and one factor controlled growth characters. The characters identified with maximum factor loadings in each group include bearing tillers clump-I, seeds capsule-I, internodal length, racemes panicle-I, leaf breadth and capsules (dry) kg-I. The six principal components or factors accounted for 78.09% of the total variance. &nbsp