Determining selection criteria in finger millet (Eleusine coracana) genotypes using multivariate analysis
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Keywords:
Finger millet, D2 statistics, Principal Component AnalysisAbstract
Finger millet [Eleusine coracana (L.) Gaertn.] grows in upland rainfed conditions customarily at disadvantageous
regions of the country. Evaluation of genetic diversity and the choice of parents is the crucial step to augmenting the desired improvement of crops towards grain and fodder yield. In the present study, 31 finger millet genotypes were studied for genetic diversity employing cluster and principal component analysis (PCA) at G. B. Pant University
of Agriculture and Technology (GBPUA&T), Pantnagar during 2018 and 2019. Mahalanobis D2 statistics revealed
seven clusters where cluster I represented 24 genotypes, cluster II with two genotypes, and the remaining clusters
with a single genotype each. The maximum inter-cluster distance was observed between clusters III and VII (49.783)
followed by III and IV (46.737) indicating more diversity between clusters. Five PCs accounted for 77.50% of total
genetic variability using PCA. Furthermore, two diverse and complementary parents (PKPS4 and F20) were identified
that possessed complement traits, viz. bold seed, high mean for single head weight, grain yield, harvest index, number of finger/spike (PKPS4), and number of tillers/plant (F20). Therefore, PKPS4 and F20 genotypes could be considered as donor parents for different traits to increase grain yield in finger millet.
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Anteneh D, Mekbib F, Tadesse T and Dessalegn Y. 2019. Genetic diversity among lowland finger millet (Eleusine coracana (L) Gaertn) accessions. Ethiopian Journal of Agricultural Sciences 29(2): 93–108.
Anuradha N, Patro T S S K, Divya M, Sandhya Rani Y and Triveni U. 2017. Morphological diversity analysis in finger millet (Eleusine coracana (L.) Gaertn.). Frontiers of Crop Improvement Journal 5(1): 67–70.
Bandyopadhyay B B, Chand S, Nautiyal M K and Jeena A S. 2017. Genetic diversity analysis in Jatropha (Jatropha curcas L.) genotypes. Elixir Agriculture 105: 46169–74.
Harman H H. 1976. Modern Factor Analysis, 3rd edn. University of Chicago Press., Chicago: 376.
Hoque A, Begum S N, Robin A H K and Hassan L. 2015. Partitioning of rice (Oryza sativa L.) genotypes based on morphometric diversity. Journal of Experimental Agriculture International 7: 242–50. DOI: https://doi.org/10.9734/AJEA/2015/15687
Joshi B K, Mudwari A, Bhatta M R and Ferrara G O. 2004. Genetic diversity in Nepalese wheat cultivars based on agro-morphological traits and coefficients of parentage. Nepal Agriculture Research Journal 5: 7–17.
Karad S R and Patil J V. 2013. Assessment of genetic diversity among finger millet (Eleusine coracana L.) genotypes. International Journal of Integrative science Innovation and Technology 2(4): 37–43.
Mahajan R and D Mehan. 1980. Principal component analysis in rice. Crop Improvement 7: 83–87.
Mahalanobis P. 1928. Statistical study of the Chinese head. Man in India 8: 107–08.
Palaniyappan S, Arunachalam P, Banumathy S, Mini M. L and Muthuramu S. 2020. Genetic divergence and clustering studies in advanced breeding lines of rice (Oryza sativa L.). Electronic Journal of Plant Breeding 11(2): 499–504. DOI: https://doi.org/10.37992/2020.1102.084
Patil H E, Patel B K and Patel S N. 2017. Assessment of genetic diversity in finger millet (Eleusine coracana L.) through multivariate analysis approach. International Journal of Economic Plants 4(4): 148–51.
Patil S, Kauthale V, Aagale S, Pawar M and Nalawade A. 2019. Evaluation of finger millet [Eleusine coracana (L.) Gaertn.] accessions using agro-morphological characters. Indian Journal of Agricultural Research 53(5): 624–27. DOI: https://doi.org/10.18805/IJARe.A-5239
Rao C R. 1952. Advanced Statistical Methods in Biometrical Research. John Wiley and Sons, New York, USA.
Sheela K R V, Robin S and Manonmani S. 2020. Principal component analysis for grain quality characters in rice germplasm. Electronic Journal of Plant Breeding 11(1): 127–31. DOI: https://doi.org/10.37992/2020.1101.023
Srivastava K and Sharma A K. 2012. Nutraceutical importance of finger millet (Eleusine coracana) for improved human health. The European Journal of Plant Science and Biotechnology 6(2): 91–95.
Swetha T N. 2011. ‘Assessment of the contribution of physiological traits to grain yield during crop improvement of finger millet (Eleusine coracana (L.) Gaertn.)’. PhD Thesis, University Agriculture Sciences, Bengaluru, Karnataka.
Tripathi A, Kumar S, Singh M K, Kumar A and Karnwal M K. 2017. Phenotypic assessment of rice (Oryza sativa L.) genotypes for genetic variability and varietal diversity under direct-seeded condition. Journal of Applied and Natural Science 9(1): 6–9. DOI: https://doi.org/10.31018/jans.v9i1.1138
Ulaganathan V and Nirmalakumari A. 2015. Finger millet germplasm characterization and evaluation using principal component analysis. SABRAO Journal of Breeding and Genetics 47(2): 79–88.
Devi P B, Vijayabharathi R, Sathyabama S, Malleshi N G and Priyadarisini V B. 2014. Health benefits of finger millet (Eleusine coracana L.) polyphenols and dietary fiber: a review. Journal of food science and technology 51(6): 1021–40. DOI: https://doi.org/10.1007/s13197-011-0584-9
STAR, version 2.0.1. 2014. Biometrics and Breeding Informatics, PBGB Division, International Rice Research Institute, Los Banos, Laguna.
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