Legume Research

  • Chief EditorJ. S. Sandhu

  • Print ISSN 0250-5371

  • Online ISSN 0976-0571

  • NAAS Rating 6.80

  • SJR 0.391

  • Impact Factor 0.8 (2024)

Frequency :
Monthly (January, February, March, April, May, June, July, August, September, October, November and December)
Indexing Services :
BIOSIS Preview, ISI Citation Index, Biological Abstracts, Elsevier (Scopus and Embase), AGRICOLA, Google Scholar, CrossRef, CAB Abstracting Journals, Chemical Abstracts, Indian Science Abstracts, EBSCO Indexing Services, Index Copernicus
Legume Research, volume 39 issue 4 (august 2016) : 510-516

Genetic estimates and path coefficient analysis in chickpea (Cicer arietinum L.) under normal and late sown environments

Indu Bala Dehal*1, Rama Kalia, Bhupender Kumar2
1<p>Molecular Cytogenetics and Tissue Culture Lab., Department of Crop Improvement,&nbsp;CSK Himachal Pradesh Agricultural University, Palampur-176 062, India.</p>
Cite article:- Dehal*1 Bala Indu, Kalia Rama, Kumar2 Bhupender (2016). Genetic estimates and path coefficient analysis in chickpea (Cicer arietinum L.) under normal and late sown environments . Legume Research. 39(4): 510-516. doi: 10.18805/lr.v0iOF.9288.

The research was carried out to determine selection criteria using correlation and path coefficient analysis in 25 chickpea (Cicer arietinum L.) genotypes under two different environments during rabi 2008-09 at Palampur location. The genotypes showed highly significant differences for all the characters studied in both environments. Environment I (normal sowing) exhibited its excellent potential for the traits viz., seed yield per plant, biological yield per plant, pods per plant, primary branches per plant, days to 50% flowering, days to maturity and plant height, whereas environment II (late sowing) exhibited it for harvest index, per cent crude protein and 100-seed weight. High heritability coupled with high genetic advance was observed for seed yield per plant, pods per plant and 100-seed weight in environment I. Seed yield per plant was positively and significantly correlated with pods per plant (E1=0.767 and E2=0.647), harvest index (E1=0.767 and E2=0.745), biological yield per plant (E1=0.612 and E2=0.537) and primary branches per plant (E1=0.422 and E2=0.515) in both the environments. Path coefficient analysis revealed the high direct effect of biological yield and harvest index towards seed yield per plant, whereas primary branches per plant and pods per plant showed negligible direct effect, but their indirect contribution for it through biological yield and harvest index was high. The present study suggests that selection for high seed yield should be based on selecting high biological yield, pod per plant, high test weight and primary branches per plants in chickpea.


  1. A.O.A.C. (1970). Official methods of Analysis of the Association of Official Analytical Chemists. 11th Edn. Washington, D.C.

  2. Ahmad, F., Khan, A. I., Awan, F. S., Sadia, B., Sadaqat, H. A. and Bahadur S. (2010). Genetic diversity of chickpea (Cicer arietinum L.) germplasm in Pakistan as revealed by RAPD analysis. Genetics and Molecular Research 9:1414-1420.

  3. Al Jibouri, H.A., Millar, P.A. and Robinson, H.F. (1958). Genotypic and environmental variances and covariances in an upland cotton cross of inter-specific origin. Agronomy Journal 50: 633-636.

  4. Ali, Q., Tahir, M. H. N., Sadaqat, H. A., Arshad, S., Farooq, J., Ahsan, M., Waseem, M. and Iqbal, A. (2011). Genetic variability and correlation analysis for quantitative traits in chickpea genotypes (Cicer arietinum L.). Journal of Bacteriological Research 3: 6-9.

  5. Bakhsh, A., Arshad, M. and Haqqani, A.M. (2006). Effect of genotype x environment interaction on relationship between grain yield and its components in chickpea (Cicer arietinum L.). Pakistan Journal of Botany 38: 683-690.

  6. Ciftci, V., Togay, N., Togay, Y. and Dogan, Y. (2004). Determining relationships among yield and some yield components using path coefficient analysis in chickpea (Cicer arietinum L.). Asian Journal of Plant Sciences 3: 632-635.

  7. Dewey, D.R. and Lu, K.H. (1959). A correlation and path coefficient analysis of components of crested wheat grass seed production. Agronomy Jounral 51: 515-518.

  8. Dwevedi, K. K. and Gaibriyal, M. L. (2009). Assessment of genetic diversity of cultivated chickpea (Cicer arietinum L.). Asian Journal of Agricultural Sciences 1: 7-8. 

  9. Jain, M., Misra, G., Patel, R. K., Priya, P., Jhanwar, S., Khan, A. W., Shah, N., Singh, V. K., Garg, R., Jeena, Yadav, M., Kant, C., Sharma, P., Yadav, G., Bhatia, S., Tyagi, A. K. and Chattopadhyay, D. (2013). A draft genome sequence of the pulse crop chickpea (Cicer arietinum L.). The Plant Journal 74:715–729. 

  10. Kumar, B., Mali, H. and Gupta, E. (2104). Genetic variability, character association, and path analysis for economic traits in menthofuran rich half-sib seed progeny of mentha piperita. Biomed Research International, 2014, article id 150830, 7 pages, doi:10.1155/2014/150830

  11. Kumar, S. R., Arumugam, T., Anandakumar, C. R. and Premalakshmi, V. (2013). Genetic variability for quantitative and qualitative characters in Brinjal (Solanum melongena L.). African Journal of Agricultural Research 8: 4956-4959.

  12. Meena, H., Kumar, J. and Ramesh, M. (2014). Evaluation of the reaction of chickpea (Cicer arietinum L.). genotypes to drought conditions using various stress tolerance indices. Legume Research 37: 453-459.

  13. Muhammad, S., Zafar, A., Muhammad, A. and Muhammad, A. (2005). Interrelationships and variability studies for grain yield and its various components in chickpea (Cicer arietimum L.). Journal of Agriculture and Social Sciences 1: 266-269.

  14. Panse, V.G. and Sukhatme, P.V. (1985). Statistical Methods for Agricultural Workers. Indian Council of Agricultural Research, New Delhi. p. 359.

  15. Singh, S.P. (2007). Correlation and path coefficient analysis in chickpea (Cicer arietinum L.). International Journal of Plant Sciences 2: 1-4. 

  16. Singh, K.B., Bejiga, G. and Malhotra R. (1990). Associations of some characters with seed yield in chickpea collections. Euphytica 49: 83-88.

  17. Singh, T.K., Pyare, R., Dwivedi, D.P., Singh, S.K. and Verma, S.N. (2004). Response of varieties and dates of sowing on growth and yield of chickpea (Cicer arietinum L.). Plant Archives 4: 471-474.

  18. Thakur, S.K. and Sirohi, A. (2009). Correlation and path coefficient analysis in chickpea (Cicer arietinum L.) under different seasons. Legume Research 32: 1-6.

  19. Walton, P. D. (1980). The production characteristics of Bromus inermis Leyss. and their inheritance. Advances in Agronomy pp: 341-369.

  20. Yucel, D. O., Anlarsal, A. E. and Yucel, C. (2006). Genetic Variability, Correlation and Path Analysis of Yield and Yield Components in Chickpea (Cicer arietinum L.). Turkish Journal of Agriculture and Forestry 30: 183-188.

  21. Yucel, D. O. and Anlarsal, A. E. (2010). Determination of selection criteria with path coefficient analysis in chickpea (cicer arietinum l.) breeding. Bulgarian Journal of Agriculture Sciences 16: 42-48.

     

Editorial Board

View all (0)