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Current IssueEditorial BoardOnline First Articles
Indian Journal of
Agricultural Research
Print ISSN: 0367-8245
Online ISSN: 0976-058X
NASS Rating
5.60
SJR
0.217
CiteScore
0.595

Chief Editor:
V. Geethalakshmi
Tamil Nadu Agricultural University Coimbatore, INDIA
Frequency:Monthly
Indexing:
BIOSIS Preview, ISI Citation Index, Biological Abstracts, Elsevier (Scopus and Embase), AGRICOLA, Go...

Research Article

Indian Journal of Agricultural Research, volume 52 issue 6 (december 2018) : 691-695

Genetic diversity analysis in chickpea (Cicer arietinum L.) grown under rainfed and irrigated conditions for quality and yield attributing traits

D. Geethanjali, M. Sudha Rani, V. Jayalakshmi
1Regional Agricultural Research Station, Nandyal, Kurnool-518 001, Andhra Pradesh, India.
Cite article:- Geethanjali D., Rani Sudha M., Jayalakshmi V. (2018). Genetic diversity analysis in chickpea (Cicer arietinum L.) grown under rainfed and irrigated conditions for quality and yield attributing traits. Indian Journal of Agricultural Research. 52(6): 691-695. doi: 10.18805/IJARe.A-5063.

ABSTRACT

Genetic diversity among 30 chickpea genotypes was assessed for quality and yield attributing and traits at Regional Agricultural Research Station, Nandyal during rabi 2016-17 under both rainfed and irrigated conditions individually. The genotypes were grown in randomized block design (RBD) with three replications each. Genetic diversity study grouped 30 chickpea genotypes into five different clusters under both the tested environments. 100 seed weight followed by cooking time for soaked seeds contributed maximum towards diversity under rainfed as well as irrigated conditions. Inter cluster average D2 values stretched between 9.32 and 21.96 under rain fed condition, while it was comparatively lower and varied from 3.77 to 15.76 under irrigated condition. Cluster II under rainfed and cluster V under irrigated were identified to be the most divergent clusters. Under irrigated, genotype RVSSG- 37 from cluster II, NBeG-840, CSJK- 25, CSJK- 24, MNK- 1, NBeG-459 from cluster III, genotype NBeG-833 from cluster IV, KAK- 2, Vihar, ICCV- 15308 from cluster V and under irrigated condition, the genotype NBeG 831 of cluster II, RVSSG- 37, NBeG-459, CSJK- 25, NBeG-840, PKV-4 from cluster III, KAK- 2 from cluster IV and Vihar from cluster V were identified to be superior and were from genetically divergent clusters so could be used in hybridization programme to produce transgressive segregants. 

REFERENCES

  1. Dwevedi, K.K and Gaibriyal, M.L. (2009). Assessment of genetic diversity of cultivated chickpea (Cicer arietinum L.) Asian Journal of Agricultural Sciences. 1 (1):7-8.
  2. FAO STAT. (2016). FAO statistical year book. Food and agriculture organization of the United Nations. Available from: http://    www.faostat.fao.org.
  3. Geervani, P. (1991). Utilization of chickpea in India and scope for novel and alternative uses. Uses of tropical legumes. In: Proceedings of a Consultants Meeting, 27-30 March 1989. ICRISAT, Patancheru, 502324. Andhra Pradesh, India. International Crop Research Institute for Semi Arid Tropics (ICRISAT 44-56).
  4. Gowda, C.L.L., Chaturvedi, S.K., Gaur, P.M., Kumar, C.V.S and Jukanti. A.K. (2015). Pulses research and development strategies for india. GRSV Consulting Services, ICRISAT, IIPR, CAZRI, India. Pulses handbook 2015. 17- 33.
  5. Hahid, S., Malik, R., Bakhsh, A., Asif, M. A., Iqbal, U and Iqbal, S. M. (2010). Assessment of genetic variability and interrelationship among some agronomic traits in chickpea. Internation Journal of Agrcultural Biotechnology. 12(1): 81-85.
  6. Jayalakshmi, V., Ronald, G and Lakshmanna, K. (2014). Diversity analysis of chickpea germplasm in scarce rainfall zone of Andhra Pradesh, India. Legume Research. 37 (6): 682-684.
  7. Jeethava, A.S., Yasufzal, A.S., Poshiya, V.K and Vaddoria, M.A. (2000). Divergence analysis in chickpea. Gujrat Agricultural University Research Journal. 22 (1): 23-28.
  8. Jeena, A.S and Arora, P.P. (2002). Path analysis in relation to selection in chickpea. Agricultural Science Digest. 22 (2): 132-133.
  9. Jeena, A.S., Arora, P.P and Ojha, O.P. (2005). Variability and correlation studies for yield and its components in chickpea. Legume Research. 28 (2): 146-148.
  10. Jivani, J.V., Mehta, D.R., Vaddoria, M.A and Raval, L. (2013). Correlation and path coefficient analysis in chickpea (Cicer arietinum L.). Electronic Journal of Plant Breeding. 4 (2): 1167-1170.
  11. Kashiwagi, J., Upadhyaya, H.D., Krishnamurthy, L and Singh, S. (2007). Identification of high-yielding large-seeded kabuli chickpeas with drought avoidance root traits. International Crops Research Institute for the Semi-arid Tropics (ICRISAT), Patancheru, Andhra Pradesh, India.SAT eJournal. 3:1. 
  12. Mahalanobis, P.C. (1936). On the generalized distance in statistics. Proceedings of National Academy of Sciences in India. 2: 49-55.
  13. Parameshwarappa, S.G., Salimath, P.M., Upadhyaya, H.D., Kajjidoni, S.T and Patil, S.S. (2012). Heterosis in relation to genetic divergence in minicore collections of chickpea (Cicer arietinum L.). Indian Journal of Genetics and Plant Breeding. 72 (3): 303-308.
  14. Project Coordinator’s Report, AICRP on Chickpea (2015-16). Indian Institute of Pulses Research, Kanpur-208 024.
  15. Rao, C.R. (1952). Advanced Statistical Methods in Biometrical Research. John Wiley and sons Inc. New York, 236-272.
  16. Yadav, S.S., Redden, W., Chen and Sharma, B. (2004). Chickpea Breeding and Management. CABI Publications. Wallingford. UK. 
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