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Research Article

volume 40 issue 5 (october 2017) : 842-845,   Doi: 10.18805/lr.v0iOF.8410

Genetic divergence and stability (AMMI) study in chickpea (Cicer aeritinum L.) under north western Himalayas of Jammu and Kashmir, India

S
Sanjeev Kumar
P
Praveen Singh
M
Magdeshwar Sharma
1<p>Krishi Vigyan Kendra, Poonch, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu-180 009, Jammu and Kashmir, India.</p>
Cite article:- Kumar Sanjeev, Singh Praveen, Sharma Magdeshwar (2016). Genetic divergence and stability (AMMI) study in chickpea (Cicer aeritinum L.)under north western Himalayas of Jammu and Kashmir, India. Legume Research. 40(5): 842-845. doi: 10.18805/lr.v0iOF.8410.

ABSTRACT

Genetic diversity of seventeen chickpea genotypes was studied through Mahalanobis D2, Tocher’s Method. The genotypes under study fall into five clusters. The cluster- IInd contained the highest number of genotypes (08) and Cluster IV and V contained the lowest (01). Cluster- II produced the highest mean value for days to maturity. The inter-cluster distances were much higher than the intra-cluster distances. Cluster-V exhibited the highest intra-cluster distance while the lowest distance was observed in cluster-IV and V. The highest inter-cluster distance was observed between cluster-III and V while the lowest was between cluster-I and IV. Considering all the characters, it is suggested that the genotypes 81-0-800, C-306, 96907, C-235 and SCS-3 could be used as parents for future breeding programmes to develop high yielding varieties of chickpea. As per AMMI model, two genotypes i.e. C-81 and 96911 were identified as having wider adaptability along with
higher seed yield per plant. 

REFERENCES

  1. Chowdhary, M.A., Vanderberg V. and Warkentin, T. (2002). Cultivar identification and genetic relationship among selected breeding lines and cultivars in chickpea (Cicer arietinum L.). Euphytica 172: 317-325.
  2. Devi, L.S., Das, A., Pandey, M.K. and Kole, C.R. (2004). Studies on genetic variability and divergence in rice: Extended Summery, Int. Symp. on rice: From Green Revolution to Gene Revolution. Oct. 04-06, DRR, Hyderabad, India.94 p.
  3. Fentie, M., Assefa, A. and Belete, K. (2013). AMMI analysis of yield performance and stability of finger millet genotypes across different environments. World J. Agric. Sci., 9: 231-237.
  4. Jodha, N.S. and Subba Rao, K.V.(1987). The Chickpea. In: Chickpea: World Importance and Distribution (Eds: M. C. Saxena and K. B. Singh), CAB International, Wallingford, Oxon, UK. pp 1-10.
  5. Lal, D., Ram Krishna and Gurpreet, S. (2001). Genetic divergence in chickpea. Ind. J. Pulses Res., 14: 63-64.
  6. Mahalanobis, P.C. (1928). A statistical study at Chinese head measurement. Man in India 8: 32-64.
  7. Mahalanobis, P.C. (1936). On the generalized distance in statistics. Proc. Nat. Inst. Sci. India. 2: 49-55.
  8. Murty, B.R. and Arunachalam, V. (1996). The nature of divergence in relation to breeding system in some crop plants. Indian J. Genet. Plant Breed., 26: 188-198.
  9. Osiru, M.O., Olayana, O.M., Adipala, E., Kapinga, R. and Lemaga, B. (2009). Yield stability of Ipomoea batatus L. cultivars in diverse environments. Australian J. Crop Sci., 3: 213-220.
  10. Rao, C.R. (1952). Advanced Statistical Methods in Biometrical Research. John Wiley and Sons, New York. pp 45-110.
  11. Saxena, M.P., Goldworthy, R. and Righer, N.M. (2001). Chickpea. The Physiology of Tropical Field Crops. John Willey and Sons. 419-452 pp.
  12. Singh, R.K. and Chaudhary, B.P. (1985). Biometrical methods of quantitative genetic analysis. Haryana J. Hort. Sci. 12: 151-156.
  13. Syed, M.A., Islam, M.R., Hossain, M.S., Alam, M.M. and Amin, M.N. (2012). Genetic divergence in chickpea (Cicer arietinum L.). Bangladesh J. Agric. Res., 37: 129-136.
  14. Vavilov, N.I. (1926). Studies on the Origin of Cultivated plants. Leningrad: Inst. Appl . Bot. Plant. Breed, 1926. 
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    Research Article

    volume 40 issue 5 (october 2017) : 842-845,   Doi: 10.18805/lr.v0iOF.8410

    Genetic divergence and stability (AMMI) study in chickpea (Cicer aeritinum L.) under north western Himalayas of Jammu and Kashmir, India

    S
    Sanjeev Kumar
    P
    Praveen Singh
    M
    Magdeshwar Sharma
    1<p>Krishi Vigyan Kendra, Poonch, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu-180 009, Jammu and Kashmir, India.</p>
    Cite article:- Kumar Sanjeev, Singh Praveen, Sharma Magdeshwar (2016). Genetic divergence and stability (AMMI) study in chickpea (Cicer aeritinum L.)under north western Himalayas of Jammu and Kashmir, India. Legume Research. 40(5): 842-845. doi: 10.18805/lr.v0iOF.8410.

    ABSTRACT

    Genetic diversity of seventeen chickpea genotypes was studied through Mahalanobis D2, Tocher’s Method. The genotypes under study fall into five clusters. The cluster- IInd contained the highest number of genotypes (08) and Cluster IV and V contained the lowest (01). Cluster- II produced the highest mean value for days to maturity. The inter-cluster distances were much higher than the intra-cluster distances. Cluster-V exhibited the highest intra-cluster distance while the lowest distance was observed in cluster-IV and V. The highest inter-cluster distance was observed between cluster-III and V while the lowest was between cluster-I and IV. Considering all the characters, it is suggested that the genotypes 81-0-800, C-306, 96907, C-235 and SCS-3 could be used as parents for future breeding programmes to develop high yielding varieties of chickpea. As per AMMI model, two genotypes i.e. C-81 and 96911 were identified as having wider adaptability along with
    higher seed yield per plant. 

    REFERENCES

    1. Chowdhary, M.A., Vanderberg V. and Warkentin, T. (2002). Cultivar identification and genetic relationship among selected breeding lines and cultivars in chickpea (Cicer arietinum L.). Euphytica 172: 317-325.
    2. Devi, L.S., Das, A., Pandey, M.K. and Kole, C.R. (2004). Studies on genetic variability and divergence in rice: Extended Summery, Int. Symp. on rice: From Green Revolution to Gene Revolution. Oct. 04-06, DRR, Hyderabad, India.94 p.
    3. Fentie, M., Assefa, A. and Belete, K. (2013). AMMI analysis of yield performance and stability of finger millet genotypes across different environments. World J. Agric. Sci., 9: 231-237.
    4. Jodha, N.S. and Subba Rao, K.V.(1987). The Chickpea. In: Chickpea: World Importance and Distribution (Eds: M. C. Saxena and K. B. Singh), CAB International, Wallingford, Oxon, UK. pp 1-10.
    5. Lal, D., Ram Krishna and Gurpreet, S. (2001). Genetic divergence in chickpea. Ind. J. Pulses Res., 14: 63-64.
    6. Mahalanobis, P.C. (1928). A statistical study at Chinese head measurement. Man in India 8: 32-64.
    7. Mahalanobis, P.C. (1936). On the generalized distance in statistics. Proc. Nat. Inst. Sci. India. 2: 49-55.
    8. Murty, B.R. and Arunachalam, V. (1996). The nature of divergence in relation to breeding system in some crop plants. Indian J. Genet. Plant Breed., 26: 188-198.
    9. Osiru, M.O., Olayana, O.M., Adipala, E., Kapinga, R. and Lemaga, B. (2009). Yield stability of Ipomoea batatus L. cultivars in diverse environments. Australian J. Crop Sci., 3: 213-220.
    10. Rao, C.R. (1952). Advanced Statistical Methods in Biometrical Research. John Wiley and Sons, New York. pp 45-110.
    11. Saxena, M.P., Goldworthy, R. and Righer, N.M. (2001). Chickpea. The Physiology of Tropical Field Crops. John Willey and Sons. 419-452 pp.
    12. Singh, R.K. and Chaudhary, B.P. (1985). Biometrical methods of quantitative genetic analysis. Haryana J. Hort. Sci. 12: 151-156.
    13. Syed, M.A., Islam, M.R., Hossain, M.S., Alam, M.M. and Amin, M.N. (2012). Genetic divergence in chickpea (Cicer arietinum L.). Bangladesh J. Agric. Res., 37: 129-136.
    14. Vavilov, N.I. (1926). Studies on the Origin of Cultivated plants. Leningrad: Inst. Appl . Bot. Plant. Breed, 1926. 
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