IDEAS home Printed from https://ideas.repec.org/b/ags/irricg/281826.html
   My bibliography  Save this book

Nutrient Management in Rainfed Lowland Rice in the Lao PDR

Author

Listed:
  • Linquist, Bruce
  • Sengxua, Pheng

Abstract

The International Rice Research Institute (Lao-IRRI Project) and the Lao National Rice Research Program have been collaborating on rice research since 1991. Soil fertility research has been conducted in all provinces of Laos through this effort. The objective of this book is to review the research that has been conducted on nutrient management of lowland rice in Laos from 1991 to 2000 and to present an integrated and sustainable nutrient management approach that is relevant to Lao farmers. We focus on the rainfed lowland rice system as opposed to the irrigated rice system, although references will be made to both. In the first section, an overview of lowland rice trends and practices in Laos will be given This will be followed by a discussion of the production environment, with emphasis on climate and soils. This will be followed by a presentation of research aimed at identifying nutrient deficiencies and nutrient management strategies to overcome these deficiencies. Finally, the last section provides an overall summary and recommendation for different soils. In the appendixes at the end, we have provided (1) a list of Lao-IRRI publications relating to rainfed lowland rice, which are available from IRRI, and (2) a list of soil fertility experiments that have been conducted from 1991 to 2000. It is from these experiments that the results of this book have been derived.

Suggested Citation

  • Linquist, Bruce & Sengxua, Pheng, 2001. "Nutrient Management in Rainfed Lowland Rice in the Lao PDR," IRRI Books, International Rice Research Institute (IRRI), number 281826.
  • Handle: RePEc:ags:irricg:281826
    DOI: 10.22004/ag.econ.281826
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/281826/files/Nutrient%20Managment.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.281826?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hayashi, Keiichi & Llorca, Lizzida & Rustini, Sri & Setyanto, Prihasto & Zaini, Zulkifli, 2018. "Reducing vulnerability of rainfed agriculture through seasonal climate predictions: A case study on the rainfed rice production in Southeast Asia," Agricultural Systems, Elsevier, vol. 162(C), pages 66-76.

    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:ags:irricg:281826. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/deirrph.html .

    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.