Divergence analysis of morphological and quality traits in sugarcane

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Date
1989
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Department of Statistics, College of Veterinary and Animal Sciences, Mannuthy
Abstract
Multivariate analytical techniques are found to be very useful in plant breeding research to explain the influence of various factors on the phenomenon under study. Factor analysis is found to be an appropriate tool to identify the factors of genetic divergence. D2 – analysis is helpful to group the divergent genotypes into various clusters when measurements on a number of related characters are available on a large number of genotypes such that the genotypes within a cluster are homogeneous with respect to these characters and heterogeneous between the clusters. The present study is aimed at identifying the factors of divergence in relation to morphological and quality traits in forty eight clones of sugarcane. The fifteen clones T.67172, Co.7717, Co.419, Coc.779, Co.7219, Coc.777, Ic.225, Co.6304, S - 99, Coc.773, Coc.772, Co.62198, Co.62101, Coc.778 and S – 77 are able to group into one cluster. Four more clusters are able to form respectively with five varieties (Co.658, Co.62175, S – 105, Co.6907, Co.995) in the second cluster, nine (F.1 – 2, Co.62174, S – 87, KHS 3296, Coc. 671, Co.7704, Co.785, CoM.7114, CoM.7125) in the third, seven (Co.6807, Co.1340, Co.527, S – 33, Co.6806, B. 37172, Co. 527 – M – 10) in the fourth and four varieties (Co.1307, CoA.7602, Coc.705, Co.453) in the fifth cluster. The remaining clones are not able to group. Among these clusters are utilized for factor analysis. A factor related to quality is extracted as the first factor in all the three clusters. The characters pol at 12th month, C.C.S. percentage, brix at 12th month, purity percentage and sugar yield per plot dominated this factor. Among these characters pol at 12th month, C.C.S. percentage and brix at 12th month are found to be more amenable to changes due to selection. The second factor is identified by the characters cane yield per plot, shoot count germination count and number of millable canes. Apart from these characters weight of cane is also included in this factor in cluster 1. The characters which are more amenable to change due to selection are cane yield per plot and shoot count. The characters are not common in the remaining four factors. These six factors are able to explain 66.84 percent, 79.44 percent and 87.41 percent of variation respectively in the first, third and fourth cluster.
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