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Current IssueEditorial BoardOnline First ArticlesArchive

Research Article

volume 38 issue 4 (december 2018) : 289-292,   Doi: 10.18805/ag.D-4822

Study of genetic variability in pearl millet [Pennisetum glaucum (L.) R. Br.] hybrids for grain yield and quality parameters

K
K. Subbulakshmi
R
R. Ravikesavan
C
C. Babu
K
K. Iyanar
1Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore-641 003, Tamil Nadu, India.
Cite article:- Subbulakshmi K., Ravikesavan R., Babu C., Iyanar K. (2019). Study of genetic variability in pearl millet [Pennisetum glaucum (L.) R. Br.] hybrids for grain yield and quality parameters. Agricultural Science Digest. 38(4): 289-292. doi: 10.18805/ag.D-4822.

ABSTRACT

Pearl millet (Pennisetum glaucum (L.) R. Br.) is an important millet crop of semi-arid regions in India and Africa. To study the genetic variability present among the newly effected fifty four hybrids an experiment was conducted in randomized block design with three replication. Yield parameters viz., days to fifty per cent flowering, plant height, number of productive tillers, ear head length, ear head girth, test weight, single head grain weight, single plant yield and quality traits such as crude protein, crude fibre, beta carotene, iron and zinc were studied. The phenotypic coefficient of variation (PCV) was greater than genotypic coefficient of variation (GCV) for all the characters studied which shows the little influence of environment. High phenotypic (PCV) and genotypic variability (GCV) was obtained for plant height, single plant yield, single head grain weight, crude fibre, beta carotene content, iron and zinc. Highest heritability (h2) conjunction with genetic advance (GA) was observed for all the characters studied and moderate for number of productive tillers per plant and earhead girth Therefore, the presence of high variability among the genotypes can be utilized for nutritional enrichment in future millet breeding programs. 

REFERENCES

  1. Allard, R.W. 1960. Principles of Plant Breeding. John Wiley and Sons Inc.New York.
  2. Berwar, K. K., Khairwal, I. S. and Lekh Raj, L., 2001, Genetic variability in core collection of pearl millet (Pennisetum glaucum (L.) R.Br.). National J. Pl. Improv., 3: 98-101.
  3. Goulden, C.H. (1952). Methods of Statistical Analysis. John Wiley and sons Inc., New York.
  4. Humphries ES (1956) Mineral components and ash analysis. Modern Methods of Plant Analysis, Springer Verlag Berlin 1956; 1: 468 - 502.
  5. Jackson ML (1973) Soil and plant analysis. Prentice Hall of India Private Limited, New Delhi.
  6. Johnson, H.W., Robinson, H.F. and Comstock, R.E. (1955). Estimates of genetic and environmental variability in soybean. Agron. J., 47: 314–318.
  7. Lakshmana, D., Surendra, P. and Gurumurthy, R., (2003), Combining ability studies in pearl millet. Res.Crops., 4: 358-362.
  8. Malhotra, S., Dhindsa, K. J. (1984). Chemical composition and other nutritive characteristics of bajra (Pennisetum typhoides L.). a review. 2(4), 271-286. 
  9. Maynard, A.J., (1970). Method in Food Analysis. Academic Press, New York, pp. 176.
  10. Sahrawat, K.L., Ravi Kumar, G., Rao, J.K., (2002). Evaluation of triacid and dry ashing procedures for determining potassium, calcium, magnesium, iron, zinc, manganese, and copper in plant materials. Commun. Soil Sci. Plant Anal. 33, 95-102.
  11. Sathya, M., Sumathi, P. and John Joel. A. (2014). A simple and rapid screening technique for grain â carotene content in pearl millet through spectrophotometric method. J. Agric. Res., 9(5): 572-576.
  12. Solanki, Y. P. S., Khairwal, I. S. and Bidinger, F. R., (2002), Genetic variability in some productivity traits of pearl millet composites. Forage Res., 27: 273-275.
  13. Sowmiya, P., Sumathi, P. and Revathi, S. (2016). Estimates of genetic parameters and quantification of â carotene in Pearl Millet [Pennisetum glaucum L.] segregating population. Electron. J. Plant Breed., 7(3): 640-648 
  14. Sumathi P. and Revathi, S. (2017). Heterosis and variability studies for yield and yield components traits in pearl millet [Pennisetum glaucum (L.) R. Br.]. Electron. J. Plant Breed., 8(2): 528-533.
  15. Sumathi, P., Lalithkannan, R. and Revathi, S. (2016). Genetic analysis and diversity studies in pearl millet [Pennisetum glaucum (L.) R. Br.]. Electron. J. Plant Breed., 7(4): 1014-1019
  16. Talawar, A., Girish, G., Channabasavanna, A., and Kitturmath, M. (2017). Studies on genetic variability, correlation and path analysis in pearl millet [Pennisetum glaucum L.] germplasm lines. Agricultural Science Digest, 37(1), 75-77. 
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    Research Article

    volume 38 issue 4 (december 2018) : 289-292,   Doi: 10.18805/ag.D-4822

    Study of genetic variability in pearl millet [Pennisetum glaucum (L.) R. Br.] hybrids for grain yield and quality parameters

    K
    K. Subbulakshmi
    R
    R. Ravikesavan
    C
    C. Babu
    K
    K. Iyanar
    1Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore-641 003, Tamil Nadu, India.
    Cite article:- Subbulakshmi K., Ravikesavan R., Babu C., Iyanar K. (2019). Study of genetic variability in pearl millet [Pennisetum glaucum (L.) R. Br.] hybrids for grain yield and quality parameters. Agricultural Science Digest. 38(4): 289-292. doi: 10.18805/ag.D-4822.

    ABSTRACT

    Pearl millet (Pennisetum glaucum (L.) R. Br.) is an important millet crop of semi-arid regions in India and Africa. To study the genetic variability present among the newly effected fifty four hybrids an experiment was conducted in randomized block design with three replication. Yield parameters viz., days to fifty per cent flowering, plant height, number of productive tillers, ear head length, ear head girth, test weight, single head grain weight, single plant yield and quality traits such as crude protein, crude fibre, beta carotene, iron and zinc were studied. The phenotypic coefficient of variation (PCV) was greater than genotypic coefficient of variation (GCV) for all the characters studied which shows the little influence of environment. High phenotypic (PCV) and genotypic variability (GCV) was obtained for plant height, single plant yield, single head grain weight, crude fibre, beta carotene content, iron and zinc. Highest heritability (h2) conjunction with genetic advance (GA) was observed for all the characters studied and moderate for number of productive tillers per plant and earhead girth Therefore, the presence of high variability among the genotypes can be utilized for nutritional enrichment in future millet breeding programs. 

    REFERENCES

    1. Allard, R.W. 1960. Principles of Plant Breeding. John Wiley and Sons Inc.New York.
    2. Berwar, K. K., Khairwal, I. S. and Lekh Raj, L., 2001, Genetic variability in core collection of pearl millet (Pennisetum glaucum (L.) R.Br.). National J. Pl. Improv., 3: 98-101.
    3. Goulden, C.H. (1952). Methods of Statistical Analysis. John Wiley and sons Inc., New York.
    4. Humphries ES (1956) Mineral components and ash analysis. Modern Methods of Plant Analysis, Springer Verlag Berlin 1956; 1: 468 - 502.
    5. Jackson ML (1973) Soil and plant analysis. Prentice Hall of India Private Limited, New Delhi.
    6. Johnson, H.W., Robinson, H.F. and Comstock, R.E. (1955). Estimates of genetic and environmental variability in soybean. Agron. J., 47: 314–318.
    7. Lakshmana, D., Surendra, P. and Gurumurthy, R., (2003), Combining ability studies in pearl millet. Res.Crops., 4: 358-362.
    8. Malhotra, S., Dhindsa, K. J. (1984). Chemical composition and other nutritive characteristics of bajra (Pennisetum typhoides L.). a review. 2(4), 271-286. 
    9. Maynard, A.J., (1970). Method in Food Analysis. Academic Press, New York, pp. 176.
    10. Sahrawat, K.L., Ravi Kumar, G., Rao, J.K., (2002). Evaluation of triacid and dry ashing procedures for determining potassium, calcium, magnesium, iron, zinc, manganese, and copper in plant materials. Commun. Soil Sci. Plant Anal. 33, 95-102.
    11. Sathya, M., Sumathi, P. and John Joel. A. (2014). A simple and rapid screening technique for grain â carotene content in pearl millet through spectrophotometric method. J. Agric. Res., 9(5): 572-576.
    12. Solanki, Y. P. S., Khairwal, I. S. and Bidinger, F. R., (2002), Genetic variability in some productivity traits of pearl millet composites. Forage Res., 27: 273-275.
    13. Sowmiya, P., Sumathi, P. and Revathi, S. (2016). Estimates of genetic parameters and quantification of â carotene in Pearl Millet [Pennisetum glaucum L.] segregating population. Electron. J. Plant Breed., 7(3): 640-648 
    14. Sumathi P. and Revathi, S. (2017). Heterosis and variability studies for yield and yield components traits in pearl millet [Pennisetum glaucum (L.) R. Br.]. Electron. J. Plant Breed., 8(2): 528-533.
    15. Sumathi, P., Lalithkannan, R. and Revathi, S. (2016). Genetic analysis and diversity studies in pearl millet [Pennisetum glaucum (L.) R. Br.]. Electron. J. Plant Breed., 7(4): 1014-1019
    16. Talawar, A., Girish, G., Channabasavanna, A., and Kitturmath, M. (2017). Studies on genetic variability, correlation and path analysis in pearl millet [Pennisetum glaucum L.] germplasm lines. Agricultural Science Digest, 37(1), 75-77. 
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