IDEAS home Printed from https://ideas.repec.org/a/abq/ijasd1/v1y2019i1p30-46.html
   My bibliography  Save this article

Estimation of Net Primary Production of Rice Crop using CASA model in Nankana Sahib

Author

Listed:
  • Ayesha Behzad

    (Remote Sensing and GIS group Department of Space Science University of the Punjab Lahore Pakistan)

  • Usman Rafique

    (Remote Sensing and GIS group Department of Space Science University of the Punjab Lahore Pakistan)

Abstract

Estimation of Net Primary Production (NPP) is crucial for the supply of food/wood. Precise estimates of NPP are important for sustainable development. We used Light Use Efficiency (LUE) model to appraise various growth-related processes e.g., photosynthesis, respiration and transpiration, in the rice plant. The study site received 1213 actual sunshine hours in comparison to total possible sunshine hours which were 1595 during the complete Rice Growth Period (RGP). Water stress was estimated throughout the RGP which resulted in surplus of water in early growth stages (W=53) and deficiency in the final ripening stage with W=0.14. Careful results indicate that about 5128 kg/ha of wet biomass was generated during the complete RGP. We applied a harvest index of 0.50 to estimate the dry biomass that was 2564 kg/ha which is about (2.82 ton/ha). These estimates seem to be in exaggeration according to real time field estimates collected by Crop Reporting Service (CRS) department which were (1.83 ton/ha). To manage this exaggeration, we applied the Soil Suitability Constant (ha) which resulted as 1.99 ton/ha in suitable zone, 1.21 ton/ha in less suitable, 1.76 ton/ha in moderately suitable and 0.73 ton/ha in not suitable zones. The average yield was estimated as 1.62 ton/ha. According to CRS department, the rice area in the study site was reported as 107000 ha and the net rice production was estimated as 1,73,340 tons in the study site. The LUE model is reliable to estimate NPP of rice crop which is useful for decision makers to determine the contribution of rice in Gross Domestic Product (GDP) at regional scales in term of surplus or shortfall.

Suggested Citation

  • Ayesha Behzad & Usman Rafique, 2019. "Estimation of Net Primary Production of Rice Crop using CASA model in Nankana Sahib," International Journal of Agriculture & Sustainable Development, 50sea, vol. 1(1), pages 30-46, February.
    • Handle: RePEc:abq:ijasd1:v:1:y:2019:i:1:p:30-46
    DOI: 10.33411/IJASD/2019010103
    as

    Download full text from publisher

    File URL: http://journal.50sea.com/wp-content/uploads/2020/10/Estimation-of-net-rice-production-for-the-fiscal-year-2019.pdf
    Download Restriction: no
    File URL: http://journal.50sea.com/ijasd/archives/volume-1/issue-1-2/estimation-of-net-primary-production-of-rice-crop-using-casa-model-in-nankana-sahib/
    Download Restriction: no
    File URL: https://libkey.io/10.33411/IJASD/2019010103?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Muhammad Saifullah & Bilal Islam, 2019. "Estimation of Water Stress on Rice Crop Using Ecological Parameters," International Journal of Agriculture & Sustainable Development, 50sea, vol. 1(1), pages 17-29, January.
    2. Jingfeng Huang & Xiuzhen Wang & Xinxing Li & Hanqin Tian & Zhuokun Pan, 2013. "Remotely Sensed Rice Yield Prediction Using Multi-Temporal NDVI Data Derived from NOAA's-AVHRR," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-13, August.
    3. Syed Muhammad Hassan Raza & Syed Amer Mahmood, 2018. "Estimation of Net Rice Production through Improved CASA Model by Addition of Soil Suitability Constant (ħα)," Sustainability, MDPI, vol. 10(6), pages 1-21, May.
    4. Jinxia Wang & Robert Mendelsohn & Ariel Dinar & Jikun Huang & Scott Rozelle & Lijuan Zhang, 2009. "The impact of climate change on China's agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 323-337, May.
    5. Mario J. Miranda & Katie Farrin, 2012. "Index Insurance for Developing Countries," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 34(3), pages 391-427.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Awais Karamat & Abdul Rehman, 2019. "Estimation of net rice production for the fiscal year 2019 using historical datasets," International Journal of Agriculture & Sustainable Development, 50sea, vol. 1(2), pages 47-65, March.
    2. Chen, Shuai & Chen, Xiaoguang & Xu, Jintao, 2013. "Impacts of Climate Change on Corn and Soybean Yields in China," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149739, Agricultural and Applied Economics Association.
    3. Leigh Johnson, 2013. "Index Insurance and the Articulation of Risk-Bearing Subjects," Environment and Planning A, , vol. 45(11), pages 2663-2681, November.
    4. Richard S.J. Tol, 2003. "The Marginal Costs Of Carbon Dioxide Emissions: An Assessment Of The Uncertainties," Working Papers FNU-19, Research unit Sustainability and Global Change, Hamburg University, revised Apr 2003.
    5. Jesse B. Tack & David Ubilava, 2015. "Climate and agricultural risk: measuring the effect of ENSO on U.S. crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 46(2), pages 245-257, March.
    6. William D. Nordhaus & Robert Mendelsohn, 1999. "The Impact of Global Warming on Agriculture: A Ricardian Analysis: Reply," American Economic Review, American Economic Association, vol. 89(4), pages 1046-1048, September.
    7. Dasgupta, Susmita & Laplante, Benoit & Meisner, Craig & Wheeler, David & Jianping Yan, 2007. "The impact of sea level rise on developing countries : a comparative analysis," Policy Research Working Paper Series 4136, The World Bank.
    8. Ashimwe, Olive, 2016. "An Economic Analysis Of Impact Of Weather Index-Based Crop Insurance On Household Income In Huye District Of Rwanda," Research Theses 265675, Collaborative Masters Program in Agricultural and Applied Economics.
    9. Owusu, V., 2018. "Credit-Constraints and Preferences for Crop Insurance in Ghana: Implications of Attribute Non-Attendance in Discrete Choice Experiments," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276967, International Association of Agricultural Economists.
    10. Seo, Niggol & Mendelsohn, Robert, 2007. "A Ricardian analysis of the impact of climate change on Latin American farms," Policy Research Working Paper Series 4163, The World Bank.
    11. Achtnicht Martin & Osberghaus Daniel, 2019. "The Demand for Index-Based Flood Insurance in a High-Income Country," German Economic Review, De Gruyter, vol. 20(2), pages 217-242, May.
    12. Pratik Thakkar & Kausik Gangopadhyay & Rupayan Pal, 2023. "Temperature shock and economic growth: Does spillover effect hurt more?," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2023-014, Indira Gandhi Institute of Development Research, Mumbai, India.
    13. Quentin Stoeffler & Michael Carter & Catherine Guirkinger & Wouter Gelade, 2022. "The Spillover Impact of Index Insurance on Agricultural Investment by Cotton Farmers in Burkina Faso," The World Bank Economic Review, World Bank, vol. 36(1), pages 114-140.
    14. Mukherjee, Manisha, 2022. "Climate change and migration: Reviewing the role of access to agricultural adaptation measures," MERIT Working Papers 2022-039, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    15. Khushbu Mishra & Abdoul G. Sam & Gracious M. Diiro & Mario J. Miranda, 2020. "Gender and the dynamics of technology adoption: Empirical evidence from a household‐level panel data," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 857-870, November.
    16. Yang, Changjin & Qi, Huarui & Jia, Lijun & Wang, Yanjiao & Huang, Dan, 2024. "Impact of digital technologies and financial development on green growth: Role of mineral resources, institutional quality, and human development in South Asia," Resources Policy, Elsevier, vol. 90(C).
    17. Cook, Aaron M. & Ricker-Gilbert, Jacob E. & Sesmero, Juan P., 2013. "How do African households adapt to climate change? Evidence from Malawi," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150507, Agricultural and Applied Economics Association.
    18. H. Holly Wang & Lu Liu & David L. Ortega & Yu Jiang & Qiujie Zheng, 2020. "Are smallholder farmers willing to pay for different types of crop insurance? An application of labelled choice experiments to Chinese corn growers," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(1), pages 86-110, January.
    19. Glauber, Joseph W., 2017. "Agricultural insurance and the WTO:," IFPRI book chapters, in: Bouët, Antoine; Laborde Debucquet, David (ed.), Agriculture, development, and the global trading system: 2000– 2015, chapter 10, International Food Policy Research Institute (IFPRI).
    20. Sanjeev Kumar & Ajay K. Singh, 2023. "Modeling the effects of climate change on agricultural productivity: evidence from Himachal Pradesh, India," Asia-Pacific Journal of Regional Science, Springer, vol. 7(2), pages 521-548, June.

    More about this item

    Keywords

    Net Primary Production; Rice Growth Period; Light Use Efficiency; Water stress and Photosynthesis.;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:abq:ijasd1:v:1:y:2019:i:1:p:30-46. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Hafiz Haroon Ahmad, Iqra Nazeer (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.