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Current IssueEditorial BoardOnline First ArticlesArchive

volume 44 issue 1 (march 2010) : 20 - 25

SIMULATION MODELING OF GROWTH PARAMETERS FOR RICE GENOTYPES AT DIFFERENT NITROGEN LEVEL AND DIFFERENT DATES OF TRANSPLANTING USING CERES 3.5 V FOR EASTERN UTTAR PRADESH

N
Neeraj Kumar
P
P. Tripathi
R
R.K. Pal
1College of Agriculture Narendra Deva University of Agriculture andTechnology Kumarganj ,Faizabad- 224 229, India

  • Submitted|

  • First Online |

  • doi

Cite article:- Kumar Neeraj, Tripathi P., Pal R.K. (2025). SIMULATION MODELING OF GROWTH PARAMETERS FOR RICE GENOTYPES AT DIFFERENT NITROGEN LEVEL AND DIFFERENT DATES OF TRANSPLANTING USING CERES 3.5 V FOR EASTERN UTTAR PRADESH. Indian Journal of Agricultural Research. 44(1): 20 - 25. doi: .

ABSTRACT

The present investigation was carried out during Kharif season of 2005-06 to investigate the
CERES 3.5v model validations for rice at different dates of transplanting and different varieties.
Treatment consisted of three varieties viz. Sarjoo-52, NDR-359 and Pant Dhan-4, two dates of
transplanting viz. July 5th, 2005 and July 25th, 2005 & three nitrogen levels viz. 80 kg/ha, 120 kg/
ha and 160kg/ha. The experiment was laid out in randomized block design (RBD). Among the
genotypes, prediction accuracy of Pant Dhan-4 was found better in respect of no. of tillers/m2,
50 % flowering (DAT), panicle initiation (DAT) and physiological maturity (DAT) were better
on 5th July transplanting at120 kg/ha nitrogen in comparison to 25th July transplanting. The
simulation modeling was subsequently validated against observed data from field experiment.
From the response of simulation model it is observed that accuracy of simulated value decrease
with late sowing in all the varieties.

REFERENCES

  1. Ahuja, S. P. (1974). Ph. D. Thesis, University of California, Davis. U.S.A..
  2. Goydrian, (1982). In: Simulation of Plant Growth and Crop Production Simulation Monograph [Penningde vries, F.W.T.
  3. and Van Laar, H.H.(Eds.)] PUDOC Wageningen, pp 98-1134
  4. Nix ,H.A.,(1976). Climate and Crop Productivity in Australia. Agrometeorology of the Rice Crop, International Rice
  5. Research Institute, Los Banos Philippines 495-508.
  6. Ritchie,J.T et al., (1998).Cereal Growth Development and Yield .Understanding Options for Agricultural Production: 79-98pp.
  7. Tripathi, P. et al., (1999). Agroclimatic Atlas of Eastern U.P., N.D.U.A.T., Kumarganj , Faizabad.
  8. Wickham, T.H., (1973). Predicting Yield in Low Land Rice through a water balance model, In Philippine Irrigation
  9. System: Research’s and Operations, Los Banos, Philippine, 155-181
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Indian Journal of Agricultural Research
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    volume 44 issue 1 (march 2010) : 20 - 25

    SIMULATION MODELING OF GROWTH PARAMETERS FOR RICE GENOTYPES AT DIFFERENT NITROGEN LEVEL AND DIFFERENT DATES OF TRANSPLANTING USING CERES 3.5 V FOR EASTERN UTTAR PRADESH

    N
    Neeraj Kumar
    P
    P. Tripathi
    R
    R.K. Pal
    1College of Agriculture Narendra Deva University of Agriculture andTechnology Kumarganj ,Faizabad- 224 229, India

    • Submitted|

    • First Online |

    • doi

    Cite article:- Kumar Neeraj, Tripathi P., Pal R.K. (2025). SIMULATION MODELING OF GROWTH PARAMETERS FOR RICE GENOTYPES AT DIFFERENT NITROGEN LEVEL AND DIFFERENT DATES OF TRANSPLANTING USING CERES 3.5 V FOR EASTERN UTTAR PRADESH. Indian Journal of Agricultural Research. 44(1): 20 - 25. doi: .

    ABSTRACT

    The present investigation was carried out during Kharif season of 2005-06 to investigate the
    CERES 3.5v model validations for rice at different dates of transplanting and different varieties.
    Treatment consisted of three varieties viz. Sarjoo-52, NDR-359 and Pant Dhan-4, two dates of
    transplanting viz. July 5th, 2005 and July 25th, 2005 & three nitrogen levels viz. 80 kg/ha, 120 kg/
    ha and 160kg/ha. The experiment was laid out in randomized block design (RBD). Among the
    genotypes, prediction accuracy of Pant Dhan-4 was found better in respect of no. of tillers/m2,
    50 % flowering (DAT), panicle initiation (DAT) and physiological maturity (DAT) were better
    on 5th July transplanting at120 kg/ha nitrogen in comparison to 25th July transplanting. The
    simulation modeling was subsequently validated against observed data from field experiment.
    From the response of simulation model it is observed that accuracy of simulated value decrease
    with late sowing in all the varieties.

    REFERENCES

    1. Ahuja, S. P. (1974). Ph. D. Thesis, University of California, Davis. U.S.A..
    2. Goydrian, (1982). In: Simulation of Plant Growth and Crop Production Simulation Monograph [Penningde vries, F.W.T.
    3. and Van Laar, H.H.(Eds.)] PUDOC Wageningen, pp 98-1134
    4. Nix ,H.A.,(1976). Climate and Crop Productivity in Australia. Agrometeorology of the Rice Crop, International Rice
    5. Research Institute, Los Banos Philippines 495-508.
    6. Ritchie,J.T et al., (1998).Cereal Growth Development and Yield .Understanding Options for Agricultural Production: 79-98pp.
    7. Tripathi, P. et al., (1999). Agroclimatic Atlas of Eastern U.P., N.D.U.A.T., Kumarganj , Faizabad.
    8. Wickham, T.H., (1973). Predicting Yield in Low Land Rice through a water balance model, In Philippine Irrigation
    9. System: Research’s and Operations, Los Banos, Philippine, 155-181
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