IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v60y1999i2p77-86.html
   My bibliography  Save this article

Long-term assessment of nitrogen and variety technologies on attainable maize yields in Nigeria using CERES-maize

Author

Listed:
  • Jagtap, S. S.
  • Abamu, F. J.
  • Kling, J. G.

Abstract

No abstract is available for this item.

Suggested Citation

  • Jagtap, S. S. & Abamu, F. J. & Kling, J. G., 1999. "Long-term assessment of nitrogen and variety technologies on attainable maize yields in Nigeria using CERES-maize," Agricultural Systems, Elsevier, vol. 60(2), pages 77-86, May.
  • Handle: RePEc:eee:agisys:v:60:y:1999:i:2:p:77-86
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308-521X(99)00019-0
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jagtap, S. S. & Mornu, M. & Kang, B. T., 1993. "Simulation of growth, development and yield of maize in the transition zone of Nigeria," Agricultural Systems, Elsevier, vol. 41(2), pages 215-229.
    2. Wafula, Benson M., 1995. "Applications of crop simulation in agricultural extension and research in Kenya," Agricultural Systems, Elsevier, vol. 49(4), pages 399-412.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Sanga, Udita & Olabisi, Laura Schmitt & Liverpool-Tasie, Saweda, 2018. "System Dynamics Modelling of Maize Production under Future Climate Scenarios in Kaduna, Nigeria," Feed the Future Innovation Lab for Food Security Policy Research Papers 270646, Michigan State University, Department of Agricultural, Food, and Resource Economics, Feed the Future Innovation Lab for Food Security (FSP).
    2. Kaur, Rajbir & Arora, VK, 2018. "Assessing spring maize responses to irrigation and nitrogen regimes in north-west India using CERES-Maize model," Agricultural Water Management, Elsevier, vol. 209(C), pages 171-177.
    3. Heinemann, A. B. & Hoogenboom, G. & de Faria, R. T., 2002. "Determination of spatial water requirements at county and regional levels using crop models and GIS: An example for the State of Parana, Brazil," Agricultural Water Management, Elsevier, vol. 52(3), pages 177-196, January.
    4. Dokoohaki, Hamze & Gheysari, Mahdi & Mousavi, Sayed-Farhad & Zand-Parsa, Shahrokh & Miguez, Fernando E. & Archontoulis, Sotirios V. & Hoogenboom, Gerrit, 2016. "Coupling and testing a new soil water module in DSSAT CERES-Maize model for maize production under semi-arid condition," Agricultural Water Management, Elsevier, vol. 163(C), pages 90-99.
    5. Jagtap, S. S. & Abamu, F. J., 2003. "Matching improved maize production technologies to the resource base of farmers in a moist savanna," Agricultural Systems, Elsevier, vol. 76(3), pages 1067-1084, June.
    6. O'Neal, Monte R. & Frankenberger, Jane R. & Ess, Daniel R., 2002. "Use of CERES-Maize to study effect of spatial precipitation variability on yield," Agricultural Systems, Elsevier, vol. 73(2), pages 205-225, August.
    7. Kang, Shaozhong & Zhang, Lu & Liang, Yinli & Dawes, Warrick, 2003. "Simulation of winter wheat yield and water use efficiency in the Loess Plateau of China using WAVES," Agricultural Systems, Elsevier, vol. 78(3), pages 355-367, December.

    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. Jagtap, S. S. & Abamu, F. J., 2003. "Matching improved maize production technologies to the resource base of farmers in a moist savanna," Agricultural Systems, Elsevier, vol. 76(3), pages 1067-1084, June.
    2. N. Subash & H. Mohan, 2011. "A Simple Rationally Integrated Drought Indicator for Rice–Wheat Productivity," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(10), pages 2425-2447, August.
    3. Crawford, Eric W. & Howard, Julie A. & Kelly, Valerie A., 2000. "Financial And Risk Analysis Of Maize Technology In Ethiopia, Based On Ceres-Maize Model Results," Staff Paper Series 11799, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    4. Barron, Jennie & Okwach, George, 2005. "Run-off water harvesting for dry spell mitigation in maize (Zea mays L.): results from on-farm research in semi-arid Kenya," Agricultural Water Management, Elsevier, vol. 74(1), pages 1-21, May.
    5. Bao, Yawen & Hoogenboom, Gerrit & McClendon, Ron & Vellidis, George, 2017. "A comparison of the performance of the CSM-CERES-Maize and EPIC models using maize variety trial data," Agricultural Systems, Elsevier, vol. 150(C), pages 109-119.
    6. Sadras, Victor & Roget, David & Krause, Mike, 2003. "Dynamic cropping strategies for risk management in dry-land farming systems," Agricultural Systems, Elsevier, vol. 76(3), pages 929-948, June.
    7. Lizaso, J. I. & Batchelor, W. D. & Westgate, M. E. & Echarte, L., 2003. "Enhancing the ability of CERES-Maize to compute light capture," Agricultural Systems, Elsevier, vol. 76(1), pages 293-311, April.
    8. Kitinya, Kirina T. & Onwonga, Richard N. & Onyango, Cecilia & Mbuvi, Joseph P. & Kironchi, Geoffrey, 2012. "Climate Change and Variability: Farmers’ Perception, Experience and Adaptation Strategies in Makueni County, Kenya," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 2(03), pages 1-11, September.
    9. DeJonge, Kendall C. & Kaleita, Amy L. & Thorp, Kelly R., 2007. "Simulating the effects of spatially variable irrigation on corn yields, costs, and revenue in Iowa," Agricultural Water Management, Elsevier, vol. 92(1-2), pages 99-109, August.

    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:eee:agisys:v:60:y:1999:i:2:p:77-86. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.elsevier.com/locate/agsy .

    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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.