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Short Communication

volume 38 issue 1 (march 2018) : 58-61,   Doi: 10.18805/ag.D-4665

Assessment of genetic diversity in ricebean germplasm for yield traits

S
Sanchit Thakur
N
Neelam Bhardwaj
1College of Agriculture, Chaudhary Sarwan Kumar  Himachal Pradesh Agricultural University, Palampur-176 062, Himachal Pradesh, India.
Cite article:- Thakur Sanchit, Bhardwaj Neelam (2017). Assessment of genetic diversity in ricebean germplasm for yield traits. Agricultural Science Digest. 38(1): 58-61. doi: 10.18805/ag.D-4665.

ABSTRACT

Genetic diversity was studied in 40 ricebean germlasm accessions collected mostly from the different parts of NW Himalayas using Mahalanobis’s D2 statistics. In the present investigation with non-hierarchical Euclidean cluster analysis, 40 genotypes of ricebean were grouped into two clusters. While cluster II contained only one genotype i.e PRR-2007-2, all other genotypes were grouped into cluster I. The maximum contribution towards the genetic divergence was exhibited by pods/cluster (19.10%) followed by plant height (15.77%), seed yield/plant (15.00%) and days to flowering (15%). Lowest contribution towards the genetic divergence was exhibited by seeds per pod (0.13%). Cluster distance observed for cluster II was 10.36 followed by cluster I which was 3.23. Cluster 1 showed maximum cluster mean values for all characters viz., days to flowering, days to maturity, plant height, branches/plant, pods/plant, pod length, 100-seed weight, seeds/pod, clusters/plant, pods/cluster and seed yield/plant, while cluster 2 showed lowest values for all the characters studied. Based on present study, parents for hybridization programme for incorporation of earliness and determinate habit which is the major bottleneck in the popularization of this underutilized pulse can be selected from cluster II whereas for other traits parents can be selected from cluster I. 

REFERENCES

  1. Gupta S, Pandey A, Kumar A and Pattanayaka. (2014). Evaluation of genotypic variation and suitability of ricebean genotypes for mid-altitudes of Meghalaya, India. Legume Research, 37: 56-58
  2. Mahalanobis PC. (1936). On the generalized distance in statistics. Proceedings National Academy of Science 2: 49-55
  3. Misra RC, Dey A and Sahu PK. (2009). Genetic divergence in gamma-rays induced mutants of ricebean (Vigna umbellata). Legume Research, 32: 25-30
  4. Murthy BR and Arunachalam V (1966). The nature of divergence in relation to breeding system in some crop plants. Indian J. Genetics, 26(1): 188-198
  5. Panchta R, Hooda JS, Yadav IS. (2012). Genetic divergence studies of ricebean genotypes. Forage Research, 37:4
  6. Rao CR. (1953). Advanced Statistical Methods in Biometrical Research. John Wiley and Sons Inc. New York. 
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    Short Communication

    volume 38 issue 1 (march 2018) : 58-61,   Doi: 10.18805/ag.D-4665

    Assessment of genetic diversity in ricebean germplasm for yield traits

    S
    Sanchit Thakur
    N
    Neelam Bhardwaj
    1College of Agriculture, Chaudhary Sarwan Kumar  Himachal Pradesh Agricultural University, Palampur-176 062, Himachal Pradesh, India.
    Cite article:- Thakur Sanchit, Bhardwaj Neelam (2017). Assessment of genetic diversity in ricebean germplasm for yield traits. Agricultural Science Digest. 38(1): 58-61. doi: 10.18805/ag.D-4665.

    ABSTRACT

    Genetic diversity was studied in 40 ricebean germlasm accessions collected mostly from the different parts of NW Himalayas using Mahalanobis’s D2 statistics. In the present investigation with non-hierarchical Euclidean cluster analysis, 40 genotypes of ricebean were grouped into two clusters. While cluster II contained only one genotype i.e PRR-2007-2, all other genotypes were grouped into cluster I. The maximum contribution towards the genetic divergence was exhibited by pods/cluster (19.10%) followed by plant height (15.77%), seed yield/plant (15.00%) and days to flowering (15%). Lowest contribution towards the genetic divergence was exhibited by seeds per pod (0.13%). Cluster distance observed for cluster II was 10.36 followed by cluster I which was 3.23. Cluster 1 showed maximum cluster mean values for all characters viz., days to flowering, days to maturity, plant height, branches/plant, pods/plant, pod length, 100-seed weight, seeds/pod, clusters/plant, pods/cluster and seed yield/plant, while cluster 2 showed lowest values for all the characters studied. Based on present study, parents for hybridization programme for incorporation of earliness and determinate habit which is the major bottleneck in the popularization of this underutilized pulse can be selected from cluster II whereas for other traits parents can be selected from cluster I. 

    REFERENCES

    1. Gupta S, Pandey A, Kumar A and Pattanayaka. (2014). Evaluation of genotypic variation and suitability of ricebean genotypes for mid-altitudes of Meghalaya, India. Legume Research, 37: 56-58
    2. Mahalanobis PC. (1936). On the generalized distance in statistics. Proceedings National Academy of Science 2: 49-55
    3. Misra RC, Dey A and Sahu PK. (2009). Genetic divergence in gamma-rays induced mutants of ricebean (Vigna umbellata). Legume Research, 32: 25-30
    4. Murthy BR and Arunachalam V (1966). The nature of divergence in relation to breeding system in some crop plants. Indian J. Genetics, 26(1): 188-198
    5. Panchta R, Hooda JS, Yadav IS. (2012). Genetic divergence studies of ricebean genotypes. Forage Research, 37:4
    6. Rao CR. (1953). Advanced Statistical Methods in Biometrical Research. John Wiley and Sons Inc. New York. 
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