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Rainfall Variability: A Tool for Crop Planning of Udaipur Region of India

Abstract

Among the climatic elements, rainfall is the first index, which determines the cropping pattern of an area and the type of crop to be cultivated. Therefore, the present study deals the rainfall characteristics of the Udaipur District of Rajasthan, India. The daily rainfall data for last 39 years (1973–2011) were analyzed to study its variability and probability. The mean annual rainfall of the area was 630.20 mm and it was highest (1,145 mm) in the year 1973 followed by 978 mm in 1983. The contribution from winter, summer/pre-monsoon, monsoon and post-monsoon periods was 1.08, 3.17, 89.89 and 5.86 %, respectively. Rains during June, July, August and September are more helpful to indicate the suitability crop growing period for profitable crop production. Each standard meteorology week from 26th to 38th receive a rainfall of above 20 mm, indicating the crop growing period from June 4th week to September 3rd week. The study indicated that the mean annual rainfall was found 630.20 mm and monthly mean rainfall was observed to be 14.20, 74.29, 178.52, 212.59, 100.98, 20.51 mm for May, June, July, August, September and October, respectively.

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References

  1. 1.

    Ben Nouna B, Katerji N, Mastrorilli M, 115 (2003) Using the CERES-maize model in asemi-arid Mediterranean environment. New modelling of leaf area and water stress functions. Eur J Agron 19(2):115–123

    Article  Google Scholar 

  2. 2.

    Sato T, Qadir M, Yamamoto M, Endo T, Zahoor A (2013) Global, regional, and country level need for data on wastewater generation, treatment, and use. Agric Water Manage 130:1–13

    Article  Google Scholar 

  3. 3.

    Shrivastava P, Swarup A (2001) Management of wastewater for environmental protection of freshwater resources: an approach for tropical countries both developing and undeveloped, International Conference on Freshwater, 3–7 December, Bonn

  4. 4.

    Hundal SS, Kaur P (2002) Annual and Seasonal climatic variability at different locations of Punjab state. J Agromet 4(2):113–125

    Google Scholar 

  5. 5.

    Bhargava AK, Singh PK, Vasu Mitra Prashad A, Jayapalan (2010) Rainfall variability and probability pattern for crop planning of Roorkee region (Uttarakhand) of India. Mausam 61(4):509–516

    Google Scholar 

  6. 6.

    Snedecor GW, Cochran WG (1967) Statistical Methods. Oxford & IBH, New Delhi

    Google Scholar 

  7. 7.

    Chow VT (1964) Hand book of applied hydrology. McGraw-Hill Book Co, New Delhi

    Google Scholar 

  8. 8.

    Singh PK (2005) Rainfall variability and crop planning in Sabour region of Bihar. J Agromet 7(2):284–290

    Google Scholar 

  9. 9.

    Doorenbos J, Kassam AH (1979) Yield response to water. FAO Irrigation and Drainage Paper No 33. FAO, Rome

  10. 10.

    Zwart SJ, Bastiaanssen WGM (2004) Review of measured crop water productivity values for irrigated wheat, rice, cotton, and maize. Agric Water Manag 69:115–133

    Article  Google Scholar 

  11. 11.

    Stricevic R, Cosic M, Djurovic N, Pejic B, Maksimovic L (2011) Assessmentof the FAO AquaCrop model in the simulation of rainfed and supplemental irrigated maize, sugar beet and sunflower. Agric Water Manag 98(10):1615–1621

    Article  Google Scholar 

  12. 12.

    Dotaniya ML, Datta SC, Biswas, Meena BP (2013) Effect of solution phosphorus concentration on the exudation of oxalate ions by wheat (Triticum aestivum L.). Proc Natl Acad Sci, India Sect, B Biol Sci 83:305–309. doi:10.1007/s40011-012-0153-718

    Article  Google Scholar 

  13. 13.

    Rana G, Katerji N, Lazzara P, Ferrara RM (2012) Operational determination of daily actual evapotranspiration of irrigated tomato crops under Mediterranean conditions by one-step and two-step models: multiannual and local evaluations. Agric Water Manag 115:285–296

    Article  Google Scholar 

  14. 14.

    Amrawat T, Solanki NS, Sharma SK, Jajoria DK, Dotaniya ML (2013) Phenology growth and yield of wheat in relation to agrometeorological indices under different sowing dates. Afr J Agric Res 8(49):6366–6374

    Google Scholar 

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Correspondence to D. K. Jajoria.

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Jajoria, D.K., Sharma, S.K., Narolia, G.P. et al. Rainfall Variability: A Tool for Crop Planning of Udaipur Region of India. Natl. Acad. Sci. Lett. 38, 95–98 (2015). https://doi.org/10.1007/s40009-014-0305-9

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Keywords

  • Crop planning
  • Probability pattern
  • Rainfall variability