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Current IssueEditorial BoardOnline First ArticlesArchive

volume 48 issue 3 (june 2014) : 167-176,   Doi: 10.5958/j.0976-058X.48.3.029

EFFECT OF CANOPY TEMPERATURE AND STRESS DEGREE DAY INDEX ON DRY MATTER ACCUMULATION AND GRAIN YIELD OF WHEAT (TRITICUM AESTIVUM L.) SOWN AT DIFFERENT DATES IN THE INDO-GANGETIC PLAINS OF EASTERN INDIA

S
S. Basu*
M
M. Parya
S
S.K. Dutta1
S
S. Maji
S
S. Jena2
R
R. Nath
P
P.K. Chakraborty
1Department of Agronomy, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur-741 252, India
Cite article:- Basu* S., Parya M., Dutta1 S.K., Maji S., Jena2 S., Nath R., Chakraborty P.K. (2025). EFFECT OF CANOPY TEMPERATURE AND STRESS DEGREE DAY INDEX ON DRY MATTER ACCUMULATION AND GRAIN YIELD OF WHEAT (TRITICUM AESTIVUM L.) SOWN AT DIFFERENT DATES IN THE INDO-GANGETIC PLAINS OF EASTERN INDIA. Indian Journal of Agricultural Research. 48(3): 167-176. doi: 10.5958/j.0976-058X.48.3.029.

ABSTRACT

Temperature change with concomitant change in canopy temperature influences crop growth and productivity. A three year (2005-06 to 2007-08) experiment was carried on wheat varieties PBW 343, HD 2733, HW 2045, PB 533 and K9107 in subplot treatments sown on three dates of 18th November, 3rd and 18th December in main-plot treatments in a split-plot design with three replications. Canopy temperature was measured at CRI, tillering, flowering and milking and stress degree day index was computed. Late sown crop experienced highest canopy temperature, varieties of K 9107 and HW 2045 recorded lowest and highest respectively. Canopy temperature and stress degree day index significantly and negatively correlated to dry matter accumulation in leaf, stem and ear at different phenophases. Grain yield reduce significantly with the delay in sowing. Canopy temperature at 11.30h during CRI, tillering or flowering stages significantly and negatively affected grain yield.

REFERENCES

  1. Basu,S.; Parya, M.; Dutta, S.K.,; Jena, S.; Maji, S.; Nath,R.; Mazumdar,D.and Chakraborty, P.K. (2012). Effect of growing degree day on different growth processes of wheat (Triticum aestivum L.). J. Crop and Weed., 8(2):18-22.
  2. Chakraborty, P.K. (1994). Effect of date of sowing and irrigation on the diurnal variation in physiological processes in the leaf of Indian mustard (Brassica juncea). J.Oilseeds Res.,11(2):210-16.
  3. Chakravarti, A.K.; Moitra, R.; Mukherjee, A.; Dey, P. and Chakraborty, P.K. (2010). Effect of planting methods and mulching on the thermal environment and biological productivity of groundnut. J.Agromet. 12(1):77-80.
  4. Das, D.K.; Mishra, K.K. and Kalra, N. (1993). Assessing growth and yield of wheat using remotely sensed canopy temperature and spectral indices. Int. J. Remote Sens., 14:17,3081-92.
  5. Das, L. and Lohar, D. (2005). Construction of climate change scenarios for a tropical monsoon region. Climate Res. 30:39-52.
  6. Gomez, K.A. and Gomez, A.A. (1984). Statistical Procedures for Agricultural Research. John Willey and Sons, Inc., New York, pp.180.
  7. Hundal, S.S. and Kaur, P. (2007). Climatic variability and its impact on ceereal productivity in Indian Punjab. Current Sci., 92(4):506-12.
  8. Idso, S.B.; Jackson, R.D. and Reginato, R.J. (1977). Remote sensing of crop yields. Science, 196:19-25.
  9. Onyibe, J.E.; Ahmed, M.K.; Falaki, A.M. and Ramalan, A.A. (2003). Canopy air temperature differential of wheat varieties grown under different soil moisture regime on semi-arid Sudan Savanna. Disc. & Innov., 15(3/4):177-85.
  10. Pandey, V.; Patel, H.R. and Patel, V.J. (2007). Impact assessment of climate change on wheat yield in Gujarat using CERS-wheat model. J. Agrometeorol., 9(2)2:149-57.
  11. Parya,M.,Nath,R.; Mazumdev, D. and Chakraborty, P.K. (2010). Effect of thermal stress on wheat productivity in west Bengal. J. Agromet., 12:217-20.
  12. Singha, P.; Bhowmick, J. and Chaudhuri, B.K. (2006) Effect of temperature on yield and yield components of fourteen wheat (Triticum aestivum L.) genotypes. Enviroonment Ecol., 24(3):550-54.
  13. Sivakumar, M.V.K. (2006). Climate prediction and agriculture current status and future challengs. Climate Res., 33:3-17.
  14. Takai, T.; Matsurea, S.; Nishio, T.; Ohsumi, A.; Shiraiwa, T. and Horie, T. (2006). Rice yield potential is closely related to crop growth rate during late reproductive period. Field Crops Res., 96:328-35.
  15. Tyagi, P.K.; Singh, D.P. and Pannu, R.K. (2003). Plant water relations, canopy temperature, photosynthesis and grain yield in wheat genotypes as affected by post anthesis chemical desiccation. Indian. J. Plant Physiol., 8(4):329-34.
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    volume 48 issue 3 (june 2014) : 167-176,   Doi: 10.5958/j.0976-058X.48.3.029

    EFFECT OF CANOPY TEMPERATURE AND STRESS DEGREE DAY INDEX ON DRY MATTER ACCUMULATION AND GRAIN YIELD OF WHEAT (TRITICUM AESTIVUM L.) SOWN AT DIFFERENT DATES IN THE INDO-GANGETIC PLAINS OF EASTERN INDIA

    S
    S. Basu*
    M
    M. Parya
    S
    S.K. Dutta1
    S
    S. Maji
    S
    S. Jena2
    R
    R. Nath
    P
    P.K. Chakraborty
    1Department of Agronomy, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur-741 252, India
    Cite article:- Basu* S., Parya M., Dutta1 S.K., Maji S., Jena2 S., Nath R., Chakraborty P.K. (2025). EFFECT OF CANOPY TEMPERATURE AND STRESS DEGREE DAY INDEX ON DRY MATTER ACCUMULATION AND GRAIN YIELD OF WHEAT (TRITICUM AESTIVUM L.) SOWN AT DIFFERENT DATES IN THE INDO-GANGETIC PLAINS OF EASTERN INDIA. Indian Journal of Agricultural Research. 48(3): 167-176. doi: 10.5958/j.0976-058X.48.3.029.

    ABSTRACT

    Temperature change with concomitant change in canopy temperature influences crop growth and productivity. A three year (2005-06 to 2007-08) experiment was carried on wheat varieties PBW 343, HD 2733, HW 2045, PB 533 and K9107 in subplot treatments sown on three dates of 18th November, 3rd and 18th December in main-plot treatments in a split-plot design with three replications. Canopy temperature was measured at CRI, tillering, flowering and milking and stress degree day index was computed. Late sown crop experienced highest canopy temperature, varieties of K 9107 and HW 2045 recorded lowest and highest respectively. Canopy temperature and stress degree day index significantly and negatively correlated to dry matter accumulation in leaf, stem and ear at different phenophases. Grain yield reduce significantly with the delay in sowing. Canopy temperature at 11.30h during CRI, tillering or flowering stages significantly and negatively affected grain yield.

    REFERENCES

    1. Basu,S.; Parya, M.; Dutta, S.K.,; Jena, S.; Maji, S.; Nath,R.; Mazumdar,D.and Chakraborty, P.K. (2012). Effect of growing degree day on different growth processes of wheat (Triticum aestivum L.). J. Crop and Weed., 8(2):18-22.
    2. Chakraborty, P.K. (1994). Effect of date of sowing and irrigation on the diurnal variation in physiological processes in the leaf of Indian mustard (Brassica juncea). J.Oilseeds Res.,11(2):210-16.
    3. Chakravarti, A.K.; Moitra, R.; Mukherjee, A.; Dey, P. and Chakraborty, P.K. (2010). Effect of planting methods and mulching on the thermal environment and biological productivity of groundnut. J.Agromet. 12(1):77-80.
    4. Das, D.K.; Mishra, K.K. and Kalra, N. (1993). Assessing growth and yield of wheat using remotely sensed canopy temperature and spectral indices. Int. J. Remote Sens., 14:17,3081-92.
    5. Das, L. and Lohar, D. (2005). Construction of climate change scenarios for a tropical monsoon region. Climate Res. 30:39-52.
    6. Gomez, K.A. and Gomez, A.A. (1984). Statistical Procedures for Agricultural Research. John Willey and Sons, Inc., New York, pp.180.
    7. Hundal, S.S. and Kaur, P. (2007). Climatic variability and its impact on ceereal productivity in Indian Punjab. Current Sci., 92(4):506-12.
    8. Idso, S.B.; Jackson, R.D. and Reginato, R.J. (1977). Remote sensing of crop yields. Science, 196:19-25.
    9. Onyibe, J.E.; Ahmed, M.K.; Falaki, A.M. and Ramalan, A.A. (2003). Canopy air temperature differential of wheat varieties grown under different soil moisture regime on semi-arid Sudan Savanna. Disc. & Innov., 15(3/4):177-85.
    10. Pandey, V.; Patel, H.R. and Patel, V.J. (2007). Impact assessment of climate change on wheat yield in Gujarat using CERS-wheat model. J. Agrometeorol., 9(2)2:149-57.
    11. Parya,M.,Nath,R.; Mazumdev, D. and Chakraborty, P.K. (2010). Effect of thermal stress on wheat productivity in west Bengal. J. Agromet., 12:217-20.
    12. Singha, P.; Bhowmick, J. and Chaudhuri, B.K. (2006) Effect of temperature on yield and yield components of fourteen wheat (Triticum aestivum L.) genotypes. Enviroonment Ecol., 24(3):550-54.
    13. Sivakumar, M.V.K. (2006). Climate prediction and agriculture current status and future challengs. Climate Res., 33:3-17.
    14. Takai, T.; Matsurea, S.; Nishio, T.; Ohsumi, A.; Shiraiwa, T. and Horie, T. (2006). Rice yield potential is closely related to crop growth rate during late reproductive period. Field Crops Res., 96:328-35.
    15. Tyagi, P.K.; Singh, D.P. and Pannu, R.K. (2003). Plant water relations, canopy temperature, photosynthesis and grain yield in wheat genotypes as affected by post anthesis chemical desiccation. Indian. J. Plant Physiol., 8(4):329-34.
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