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Legume Research

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Research Article

Legume Research, volume 40 issue 2 (april 2017) : 215-223

Evaluation of morphological diversity of field pea [Pisum sativum subsp.arvense (L.)] germplasm under sub-tropical climate of Manipur 

S. Bhuvaneswari*1, Susheel Kumar Sharma1, P. Punitha1, K.S. Shashidhar2, K.L. Naveenkumar3, Narendra Prakash1
1<p>ICAR-Research Complex for NEH region,&nbsp;Manipur Centre, Imphal-795 004, India. &nbsp;</p>
Cite article:- Bhuvaneswari*1 S., Sharma1 Kumar Susheel, Punitha1 P., Shashidhar2 K.S., Naveenkumar3 K.L., Prakash1 Narendra (2016). Evaluation of morphological diversity of field pea [Pisum sativum subsp.arvense (L.)] germplasm under sub-tropical climate of Manipur . Legume Research. 40(2): 215-223. doi: 10.18805/lr.v0iOF.10756.

ABSTRACT

An investigation was carried out to evaluate 51 diverse field pea genotypes at  Langol Research farm, ICAR, RC, NEH region, Manipur centre for nine yield related quantitative traits and four morphological qualitative traits for practical field pea improvement in  Manipur. The combined analysis of variance of genotypes  for all the nine traits was found to be significant. The amount of variability in one variable as a linear function of another variable was also measured through phenotypic and genotypic correlation among nine quantitative traits. The pod number per plant, seed number per pod and 100 seed weight showed significant positive correlation with seed yield per plant both at phenotypic and genotypic levels. Multivariate analysis using principal component analysis (PCA) indicated that three principal components (PCs) accounted for > 75% of the total variation. The genotypes were grouped into seven clusters using distance based Agglomerative “Average linkage” method. Three genotypes IPF-5-19, EC-8495, HUDP-15 belonging to cluster II and DDR-30, early maturing variety belonging to Cluster VI were found promising in terms of seed yield for the region.

REFERENCES


  1. AICRP MULLaRP-http://www.aicrpmullarp.res.in. 

  2. Ana Paula Rodino, Josefina Herna´ndez-Nistal, Maria Hermida , Marta Santalla and Antonio M. De Ron.(2009).Sources of variation for sustainable field pea breeding. Euphytica. 166: 95-107

  3. Anonymous. (2015). Annual Report(2014-15) on Promotion of Pulses in NEH region. ICAR-Indian Institute of Pulses Research, Kanpur, Uttar Pradesh 208024 (India).39 pp. 

  4. Chaudhary, D. K. and Sharma, R. R.( 2003). Genetic variability, correlation and path analysis for green pod yield and its components in garden pea. Indian J. Hort. 60: 251-256.

  5. Economic Survey Manipur. (2013-14). Directorate of Economics and Statistics, Government of Manipur, Imphal.

  6. Espósito, M.A., Martin, E.A., Cravero, V.P., Liberatti, D. (2009). Relationships among agronomic traits and seed yield in pea. BAG 20: 01-08

  7. Gatti, I., Espósito, M.A., Almirón, P., Cravero, V.Pand E.L. (2011).Diversity of pea (Pisum sativum) accessions based on morphological data for sustainable field pea breeding in Argentina.Genetics and Mol Resch 10: 3403-3410.

  8. Ghobary, H. M. M. (2010). Study of relationship between yield and some yield components in garden pea (Pisum sativum L.) by using correlation and path analysis. J. Agric. Res. 36: 351-360

  9. Gomez and Gomez. (2010). Statistical Procedures for Agricultural Research, Second Edition, John Wiley Publication, U. K.

  10. Javaid, A., Ghafoor, A. and Rashid, A. (2002). Evaluation of local and Exotic pea Pisum sativum germplasm for vegetable and dry grain traits. Pak. J. Bot. 34:419-427.

  11. Jeffers, J.N.R. (1967). Two case studies in the application of principal component analysis. Appl. Stat. 16: 225–236.

  12. Joshi, P.K., Narsinghani, V.G. and Yadav, R.K. (1992). Genetic variability and correlation studies of yield and its component in powdery mildew resistant field pea (Pisum sativum L. var. arvense). Adv. Plant Sci.5:614–618.

  13. Kumar, B. L., Ram, J.D. Singh, and B. Singh. (2003). Correlation and path coefficient analyses in pea (Pisum sativum L.). Prog. Agric. 3:141–142

  14. Lezzoni ,A.F.,and Pritts, M.P. (1991). Application of principal component analysis to horticultural research. Hort scie 26:334-338.

  15. Mohammadi, S.A. and Prasanna, B.M. (2003). Analysis of genetic diversity in crop plants-salient statistical tools and considerations. Crop Sci., 43: 1235-1248.

  16. Necat, T., Yesim, T., Bunyamin, Y., and Yusuf, D.(2008). Relationships between yield and some yield components in pea (Pisum sativum ssp arvense L.) genotypes by using correlation and path analysis. Afr. J. Biotechnol. 7: 4285-4287.

  17. Santalla. M., Amurrio, J.M. and De Ron A. M. (2001). Food and feed potential breeding of green, dry and vegetable pea germplasm. Can. J. Plant Sci. 81: 601-610. 

  18. Sardana, S.R, Mahajan, K., Gautam, N. K. and Ram, B.(2007).Genetic Variability in pea (Pisum sativum L.) germplasm for utilization.J.Plant Breed.Genet. 39:31-41.

  19. Singh, A. K and Srivastava, C.P. (2015). Effect of plant types on grain yield and lodging resistance in Pea (Pisum sativum L.). Indian J.Genet. 75:69-74.

     
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