Multivariate Analysis in Advanced Sugarcane Clones

Author: G. Rakesh, M. Saicharan, G. Eswara Reddy, Swapna N., B. Balaji Naik and M. Vijay Kumar

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Abstract

Sugarcane breeding programmes require a thorough understanding of genotype performance and characteristic interrelationships. This experiment was aimed at improving selection efficiency. A field experiment was conducted at Regional Sugarcane and Rice Research Station, Rudrur, during Eksali, 2022-23. The clones of different maturity groups from Coimbatore and peninsular zones of different sugarcane research stations were planted in Randomized Block Design replicated thrice. In the present study, cluster analysis the maximum inter-cluster distance was recorded between clusters III and IV followed between clusters I and III and between clusters II and III. The greater the distance between two clusters, the greater the genetic diversity among those clusters lines. The PCA for the advanced lines exhibited a variance of 27.97 %, 18.37 %, 14.03 %, 11.46 %, and 7.71 % for the first five components and accounted for about 79.57 % of the total variation. Principal Components revealed characters viz., sucrose % at 10th month, sucrose % at 12th month, Brix % 10th month, purity % at 12th month and cane yield in PC1 and germination % at 30 days after planting (DAP), tillers at 120 DAP ('000/ha), Shoots at 240 DAP ('000/ha) and cane girth at 12th month were loaded in PC2, while single cane weight at 12th month, cane girth at 12th month, cane length at 12th month and CCS yield (t/ha) in PC3. In PC 4 & PC 5, Shoots at 240 DAP ('000/ha) and Cane yield (t/ha), germination % at 30 DAP and cane length at 12th month were positively loaded. The characters mentioned instantly contributed more towards variability and thus, cluster and principal component analysis will help breeders to identification of diverse parents that can be used for future breeding programs.

Keywords

Advanced clones, PCA, Principal Component Analysis, variability, canonical variant analysis

Conclusion

In cluster analysis the maximum inter-cluster distance was recorded between III and IV followed between cluster I and III and between II and III. The greater the distance between two clusters, the greater the genetic diversity among those clusters lines. Such highly diverse, high-performing lines would be extremely useful in a recombination breeding program to obtain highly desirable progeny. Principal Components analysis identified the importance of traits like germination % at 30 DAP, Tillers at 120 DAP ('000/ha), Shoots at 240 DAP ('000/ha), cane girth at 12th month, single cane weight at 12th month, cane length at 12th month, sucrose % at 10th month, sucrose % at 12th month, Brix% at 10th month, purity % at 12th month, cane yield that can be beneficial for the improvement of cane yield as well as quality in sugarcane by breeders. These traits need to be given due consideration in sugarcane breeding programs targeted for cane yield with quality. Hence multivariate analysis such as cluster and principal component analysis will help breeders to identification of diverse parents that can be used for future breeding programs in the Telangana state as well as the peninsular zones of India.

References

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How to cite this article

G. Rakesh, M. Saicharan, G. Eswara Reddy, Swapna N., B. Balaji Naik and M. Vijay Kumar (2023). Multivariate Analysis in Advanced Sugarcane Clones. Biological Forum – An International Journal, 15(10): 347-352.