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volume 49 issue 3 (june 2015) : 260-264,   Doi: 10.5958/0976-058X.2015.00041.4

Development of regression models in ber genotypes under the agroclimatic conditions of south-western region of Punjab, India

N
Navjot Gupta*
K
K.K. Gill
R
Ritu Babuta
1Regional Station, PAU, Bathinda-151 001, India.
Cite article:- Gupta* Navjot, Gill K.K., Babuta Ritu (2025). Development of regression models in ber genotypes under the agroclimatic conditions of south-western region of Punjab, India. Indian Journal of Agricultural Research. 49(3): 260-264. doi: 10.5958/0976-058X.2015.00041.4.

ABSTRACT

The field experiment was conducted at PAU, Regional Station, Bathinda, for consecutive 7 years (2003-2009) to study the crop growth behavior and yield characteristics of ber fruit crop and an attempt was made to correlate the ber fruit characteristics with weather parameters over the years. The seven years data on fruit characteristics and weather parameters were taken on yearly basis and correlations were developed between ber fruit yield, fruit weight, acidity, pulp percentage, TSS and corresponding weather parameters namely minimum temperature, maximum temperature, morning relative humidity, evening relative humidity and rainfall. The regression analysis was done for four varieties of ber viz., Umran, Wailati, Chhuhara and Seb and the most suitable variety best suited for the weather conditions of southwestern region was worked out. The most sensitive period for fruit yield sensitivity appears to be during November to March months for the ber varieties under study. Different varieties responded differently with weather parameters for their different characteristics. The multiple regression models were developed on the basis of critical periods pertaining to crop yield characteristics for different varieties separately and it was found that 80-90 % variation in fruit yield and yield attributing characters were explained by weather parameters.

REFERENCES

  1. Allard, R.W. (1960). Principles of Plant Breeding. John Willey and Sons, Inc. New York, pp. 463-470.
  2. Baruah,S.J.N. (2003).Combining ability in chilli(Capsicum annum L.).Vegetable Science 30(2):159-160.
  3. Hazra, P., Chattopadhyay, A., Karmakar, K., and Dutta, S. (2011). Modern Technology in Vegetable Production, pp. 478. New India Publishing Agency, New Delhi, India.
  4. Kempthorne, O. (1957). An Introduction to Genetics Statistics. John Wiley and Sons, New York, pp. 41-43.
  5. Pandian, I.R.S. and Shanmugavelu, K.G. (1992). Combining ability for yield and yield components in chillies (Capsicum annuum L.). South-Indian-Horticulture 40(4): 202-206.
  6. Prasath , D and Ponnuswami,V (2008a). Breeding for extractable colour and pungency in Capsicum. A review Vegetable Science 35(1): 1-9.
  7. Prasath , D and Ponnuswami,V (2008b). Heterosis and Combining ability for morphological yield and quality characters in paprika type chilli hybrids. Indian Journal of Horticulture . 65(4): 441-445.
  8. Reddy,M.G., Kumar,M. and Salimath,P.M. (2008).Combining ability analysis in chilli. Karnataka J. Agric. Sci., 21(4): 494-497.
  9. Salvador, M. H. (2002). Genetic resources of chilli (Capsicum spp.) in Mexico. Proceedings of the 16th international pepper conference. pp 10-12. Tampico, Tamaulipas, Mexico.
  10. Srivastava ,J.P., Singh,N.P and Srivastava,D.K.(2004). Combining ability analysis in chilli (Capsicum annum L.).Vegetable Science. 31(2):135-137.
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    volume 49 issue 3 (june 2015) : 260-264,   Doi: 10.5958/0976-058X.2015.00041.4

    Development of regression models in ber genotypes under the agroclimatic conditions of south-western region of Punjab, India

    N
    Navjot Gupta*
    K
    K.K. Gill
    R
    Ritu Babuta
    1Regional Station, PAU, Bathinda-151 001, India.
    Cite article:- Gupta* Navjot, Gill K.K., Babuta Ritu (2025). Development of regression models in ber genotypes under the agroclimatic conditions of south-western region of Punjab, India. Indian Journal of Agricultural Research. 49(3): 260-264. doi: 10.5958/0976-058X.2015.00041.4.

    ABSTRACT

    The field experiment was conducted at PAU, Regional Station, Bathinda, for consecutive 7 years (2003-2009) to study the crop growth behavior and yield characteristics of ber fruit crop and an attempt was made to correlate the ber fruit characteristics with weather parameters over the years. The seven years data on fruit characteristics and weather parameters were taken on yearly basis and correlations were developed between ber fruit yield, fruit weight, acidity, pulp percentage, TSS and corresponding weather parameters namely minimum temperature, maximum temperature, morning relative humidity, evening relative humidity and rainfall. The regression analysis was done for four varieties of ber viz., Umran, Wailati, Chhuhara and Seb and the most suitable variety best suited for the weather conditions of southwestern region was worked out. The most sensitive period for fruit yield sensitivity appears to be during November to March months for the ber varieties under study. Different varieties responded differently with weather parameters for their different characteristics. The multiple regression models were developed on the basis of critical periods pertaining to crop yield characteristics for different varieties separately and it was found that 80-90 % variation in fruit yield and yield attributing characters were explained by weather parameters.

    REFERENCES

    1. Allard, R.W. (1960). Principles of Plant Breeding. John Willey and Sons, Inc. New York, pp. 463-470.
    2. Baruah,S.J.N. (2003).Combining ability in chilli(Capsicum annum L.).Vegetable Science 30(2):159-160.
    3. Hazra, P., Chattopadhyay, A., Karmakar, K., and Dutta, S. (2011). Modern Technology in Vegetable Production, pp. 478. New India Publishing Agency, New Delhi, India.
    4. Kempthorne, O. (1957). An Introduction to Genetics Statistics. John Wiley and Sons, New York, pp. 41-43.
    5. Pandian, I.R.S. and Shanmugavelu, K.G. (1992). Combining ability for yield and yield components in chillies (Capsicum annuum L.). South-Indian-Horticulture 40(4): 202-206.
    6. Prasath , D and Ponnuswami,V (2008a). Breeding for extractable colour and pungency in Capsicum. A review Vegetable Science 35(1): 1-9.
    7. Prasath , D and Ponnuswami,V (2008b). Heterosis and Combining ability for morphological yield and quality characters in paprika type chilli hybrids. Indian Journal of Horticulture . 65(4): 441-445.
    8. Reddy,M.G., Kumar,M. and Salimath,P.M. (2008).Combining ability analysis in chilli. Karnataka J. Agric. Sci., 21(4): 494-497.
    9. Salvador, M. H. (2002). Genetic resources of chilli (Capsicum spp.) in Mexico. Proceedings of the 16th international pepper conference. pp 10-12. Tampico, Tamaulipas, Mexico.
    10. Srivastava ,J.P., Singh,N.P and Srivastava,D.K.(2004). Combining ability analysis in chilli (Capsicum annum L.).Vegetable Science. 31(2):135-137.
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