ABSTRACT
Aims: To estimate the genetic diversity studies among the biometric attributes of 30 progenies in Ailanthus excelsa Roxb. Place and Duration of Study: The study has conducted at Forest College and Research Institute, TNAU, Mettupalayam during 2015-2018. Methodology: The D2 statistics was adopted for the estimation of genetic divergence. Using D2 statistical results, the clustering of progenies was done. The progenies were grouped into different clusters using ‘GENERES’ statistical package on the basis of D2 values according to Tocher’s method as suggested by Rao. Results: The 30 progeny of Ailanthus excelsa has grouped into nine clusters and among the nine clusters, the cluster IV has ten progenies. The maximum intra cluster distance was exhibited by the cluster VIII followed by cluster IV. The maximum inter cluster distance was in cluster III which indicated the presence of wider genetic distance between Ailanthus excelsa progenies. Among the growth attributes, volume index contributed maximum percentage towards genetic divergence. Conclusion: The results of 30 progeny of Ailanthus excels showed the presence of wider genetic distance between Ailanthus excelsa progenies.
ABSTRACT
Aims: To estimate the impact, connection and association among the biometric attributes, pulping qualities and anatomical characters in Bambusa balcooa. Place and Duration of Study: The study was conducted across the agro climatic regions viz., North Eastern Zone, Northern Zone, Western Zone, Cauvery Delta Zone and Southern Zone of Tamil Nadu, India during 2017-2018. Methodology: The Principal Components Analysis (PCA) was examined to establish the numbers of clusters using Statistical Package for Social Studies (SPSS) version 16.0.1 software in order to identify the patterns of variation (PCA). The principal component analysis was computed using the equation PCA = Σa jXj. Results: The PCA separated into three cluster principal components among the nineteen parameters studied. Out of nineteen principal components generated, twelve principal components had contributed positively on pulp yield. Among these twelve traits, maximum contribution to the pulp yield was observed by the traits viz., numbers of culms, hollocellulose, kappa number, tear index, burst index, fibre wall thickness and vessel diameter with respect to Bambusa balcooa. Conclusion: The results showed some relationships between the biometric attributes, pulping qualities and anatomical characters in Bambusa balcooa. PCA was shown to be a useful tool for assessing the impact and connection for further research.