Phenotypic divergence for agro-morphological traits among extant rice (Oryza sativa) varieties

Authors

  • ARCHANA SANYAL ICAR- Indian Agricultural Research Institute, New Delhi 110 012
  • MONIKA A JOSHI ICAR- Indian Agricultural Research Institute, New Delhi 110 012
  • B S TOMAR ICAR- Indian Agricultural Research Institute, New Delhi 110 012
  • DIVYA AGGARWAL ICAR- Indian Agricultural Research Institute, New Delhi 110 012

DOI:

https://doi.org/10.56093/ijas.v86i5.58354

Keywords:

Cluster analysis, Correlation, Multivariate analysis, Principal component analysis, Rice

Abstract

The genetic divergence of 61 extant varieties of rice (Oryza sativa L.) was assessed by using principal component analysis (PCA). The variables considered in the multivariate analyses were morphological, phenological and grain traits. The correlation analysis revealed that a number of traits were directly associated with other traits regardless of plant type or architectural configuration of the whole plant. The first four components in the PC analysis with Eigen values >1 contributed 74.25% of the variability among genotypes evaluated. Across various PCs, each of the accessions contributed both vegetatively and reproductively and in some cases only one-sidedly, either reproductively or vegetatively. The study grouped the genotypes into seven clusters. Cluster I had maximum number of genotypes (17). The cluster VII had second highest number of genotypes (12), while cluster II, III, IV, V, VI contained nine, four, six, five and eight genotypes, respectively. The overall composition of the clustering pattern showed that genotypes collected from the same geographic origin were distributed in different clusters. A critical appraisal of the observations suggested that none of the clusters contained genotypes with all the desirable traits, which could be directly selected and utilized. Hence, depending on the per se performance of the best genotypes within the clusters, they may be directly used for adaptation or maybe used as parents in future breeding programs.

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References

Adebisi M A, Ariyo O J and Kehlnde O B. 2001. Variation and correlation studies in quantitative characteristics in soybean. Proceedings of the 35th Annual Conference of the Agricultural Society of Nigeria, September, pp: 20 held at the University of Agriculture, Abeokuta, 16-121–5.

Chakravorty A, Ghosh P D and Sahu P K. 2013. Multivariate analysis of phenotypic diversity of landraces of rice of West Bengal. American Journal of Experimental Agriculture 3 (1): 11–123. DOI: https://doi.org/10.9734/AJEA/2013/2303

Jeffers J N R .1967. Two case studies in the application of principal component analysis. Applied Statistics 16: 225–36. DOI: https://doi.org/10.2307/2985919

Joshi M A, Singh P, Sarao N K, Sharma R C and Bharaj T S. 2008. Genetic diversity among rice varieties cultivated in Punjab. Oryza 45 (4): 277–79.

Mponda O K K, Gobbon D, Arthur E and Morse S. 1997. Involving farmers in the design of a low input control programme for sesame flea beetles in Southern Tanzania. Experimental Agriculture 33 (3): 313–20. DOI: https://doi.org/10.1017/S0014479797003116

Nassir A. 2002. Studies on genotype × environment interactions, variability and plant character correlation in rice. Ph D Thesis, University of Agriculture, Abeokuta, Nigeria, p 123.

Omokhae K O and Alika J E. 2000. Multivariate of agronomic data on Heveabrasiliensis. (In) Biometry and qualiy of life. Nokoe S(Ed). Proceedings of SUSAN-IBS Meting, 23–27 August, 1999, Ibadan, Nigeria SUSAN-IBS, Nairobi, Kenya; pp168–173.

Ries S K and Everson E H. 1973. Protein content and grain size relationships with grainling vigour of wheat cultivars. Agronomy Journal 65: 884–6. DOI: https://doi.org/10.2134/agronj1973.00021962006500060011x

Tarika Y T, Somta P and Srinives P. 2009. Genetic variation in cultivated mungbean germplasm and its implication in breeding for high yield. Field Crops Research 112: 260–6. DOI: https://doi.org/10.1016/j.fcr.2009.03.013

Verma S P and Rai M. 1993. Genetic variability and inter-relation in cassava (Manihot esculenta Crantz) under rainfed conditions of Tripura. Journal of Root Crops 19 (2): 77–80.

Zafar N, Aziz S and Masood S. 2006. Phenotypic divergence for agro-morphological traits among landrace genotypes of rice (Oryza sativa L.) from Pakistan. International Journal of Biological Science 6 (2): 335.

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Published

2016-06-16

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Articles

How to Cite

SANYAL, A., JOSHI, M. A., TOMAR, B. S., & AGGARWAL, D. (2016). Phenotypic divergence for agro-morphological traits among extant rice (Oryza sativa) varieties. The Indian Journal of Agricultural Sciences, 86(5), 673–8. https://doi.org/10.56093/ijas.v86i5.58354