IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-33-6256-7_2.html
   My bibliography  Save this book chapter

Variation in Rice Yields and Determinants Among Paddy Fields

In: Empirical Analyses on Rice Yield Determinants of Smart Farming in Japan

Author

Listed:
  • Dongpo Li

    (Hunan University of Technology and Business)

  • Teruaki Nanseki

    (Kyushu University)

  • Yuji Matsue

    (Kyushu University)

  • Yosuke Chomei

    (Kyushu University)

  • Shuichi Yokota

    (Yokota Farm Co. Ltd.)

Abstract

This chapter identified the variation and determinants of rice yield measured by the smart combine harvesterSmart combine harvester, from among different rice yields within large-scale farms. Apart from to the paddy yield with 15% moisture, we studied the variations in the concerning ratios for unsorted and sorted brown riceSorted brown rice as well. The sample included 351 fields from a farm corporation scaled over 113 hectares, located in the Kanto region of Japan. The candidate determinants were the field area and condition, nitrogen amount, time of transplanting or seeding, stage-specific growth indicators of chlorophyll content, number of panicles, plant height, and leaf plate valueLPV (leaf plate value). In addition, soil properties, average temperature, and solar radiation were incorporated. Meanwhile, the varieties, cultivation practices, and soil types were adopted as dummy variables. The empirical analysis was conducted using multivariate linear regression, with logarithmic transformations of the continuous variables. The result indicated that panicle numbers in the full-heading stage and transplanting or sowing time were the most important continuous determinant, following by nitrogen amount, humus content, and so forth. Within the significant discrete determinants, Akidawara and Milky queen were found to be the productive and unproductive varieties, respectively, while the well-drained direct sowing was found to negatively affecting yield.

Suggested Citation

  • Dongpo Li & Teruaki Nanseki & Yuji Matsue & Yosuke Chomei & Shuichi Yokota, 2021. "Variation in Rice Yields and Determinants Among Paddy Fields," Springer Books, in: Dongpo Li & Teruaki Nanseki (ed.), Empirical Analyses on Rice Yield Determinants of Smart Farming in Japan, pages 27-48, Springer.
  • Handle: RePEc:spr:sprchp:978-981-33-6256-7_2
    DOI: 10.1007/978-981-33-6256-7_2
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    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:spr:sprchp:978-981-33-6256-7_2. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.