Sugarcane clone selection by FUZZ (True seed) at SUCAF/Ferké in Côte d’Ivoire
Paper Details
Sugarcane clone selection by FUZZ (True seed) at SUCAF/Ferké in Côte d’Ivoire
Abstract
Knowledge on performance of genotypes and interrelationships among traits is very important for sugarcane breeding program. Therefore, many characters are evaluated simultaneously in the sugarcane phenotypic evaluation process. In this study, we used the Principal Component Analysis (PCA) to identify representative traits for phenotypic characterization of sugarcane, and thereby to select superior clones in the breeding process. Five quantitative and two qualitative traits of sugarcane were studied from the PCA. These major components represented for 58.13% of the variance. Cluster analysis has allowed us to divide the 148 clones of sugarcane into 5 groups. The high genotypes diversity of selected sugarcane is reflected by the genetic diversity revealed within the population.
Acquaah G. 2012. Principles of plant genetics and breeding. John Wiley and Sons, Ltd, Publication 2, 718-719.
Carvalho CGP, Arias CAA, Toledo JFF, Almeida L, Kiihl RA, Oliveira MF, Hiromoto DM, Takeda C. 2003. Proposal to categorize coefficients of variation for yield and plant height in soybean. Pesquisa Agropecuária Brasileira 38, 187-193.
Chohan MUA, Talpur S, Junejo GS, Unar RNBPA. 2014. Selection and evaluation of the diverse sugarcane genotypes in 4th stage. The J. Anim. Plant Scis 24(1), 197-203.
Costa NHAD, Seraphin JC, Zimmermann FJP. 2002. A new method of variation coefficient classification for upland rice crop. Pesquisa Agropecuária Brasileira 37, 243-249.
Dahlquist E. 2013. Biomass as Energy Source: Resources, SyStalks and Application, CRC Press, Taylors & Francis, London.
Elmore KL, Richman MB. 2001. Euclidean distance as a similarity metric for principal component analysis. Mon. Wea. Rev 129 (3), 540-549.
Glaz B, Miller DJD, Tai PYP, Deren CW, Kang MS, Lyrene PM, Gill BS. 2002. Sugarcane Genotype Repeatability in Replicated Selection Stages and Commercial Adoption. J. Am. Soc. Sugarcane. Tech 22, 73-88.
Glaz B, Miller JD. 1982. Comparison of commercial and experimental yields in sugarcane. Proceed. III Inter-American Sugar Cane Seminar: Varieties and Breeding 139- 143p.
Kumar B, Gaibriyal ML, Ruchi Upadhyay A. 2009. Genetic variability, diversity and association of quantitative traits with grain yield in bread wheat (Triticum aestivum L.). Asian J. Agric. Sci 1(1), 4-6.
Lukibisi FB, Lanyasunya T. 2010. Using principal component analysis to analyze mineral composition data. Biennial Kenya Agricultural Research Institute, Scientific Conference on Socio Economics and Biometrics.
Mohammadi SA, Prasanna BM. 2003. Analysis of genetic diversity in crop plants-salient statistical tools and considerations. J. Crop Sci 43 (4), 1235-1248.
Péné CB, Ouattara HM, Koulibaly GS. 2012. Late sugarcane performance as affected by soil water regime at the yield formation stage on commercial farms in northern Ivory Coast. J. of life Sci. Vol 6 (6), 644-651.
Rukundo P, Hussein S, Mark L, Daphrose G. 2015. Application of principal component analysis to yield and yield related traits to identify sweet potato breeding parents. Tropical Agric. (Trinidad) 92 (1).
Welde MG, Alamerew S, Kufa T, Benti T. 2013. Genetic Diversity Analysis of Some Ethopian Specialty Coffee (Coffea Arabica L.) Germplasm Accessions Based on Morphological Traits. Time Journals of Agriculture and Veterinary Sciences 1, 4, pp. 47-54.
Wiley E, Lieberman B. 2011. Phylogenetics: Theory and Practice of Phylogenetic SyStalkatics. John Wiley and Sons, New York.
Yamamoto H, Fujimori T, Sato H, Ishikawa G, Kami K, Ohashi Y. 2014. Statistical hypothesis testing of factor loading in principal component analysis and its application to metabolite set enrichment analysis. BMC Bioinformatics 15 (1), 1-9.
Oura Otchou Jean-Didier Thierry, Kouamé Konan Didier, Péné Bi Crépin, 2018. Sugarcane clone selection by FUZZ (True seed) at SUCAF/Ferké in Côte d’Ivoire. Int. J. Biosci., 13(1), 412-419.
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