Texas A&M University LibrariesTexas A&M University LibrariesTexas A&M University Libraries
    • Help
    • Login
    OAKTrust
    View Item 
    •   OAKTrust Home
    • Programs, Centers, and Institutes
    • Norman Borlaug Institute for International Agriculture
    • Feed the Future Innovation Lab for Small-Scale Irrigation
    • Open Access Publications
    • View Item
    •   OAKTrust Home
    • Programs, Centers, and Institutes
    • Norman Borlaug Institute for International Agriculture
    • Feed the Future Innovation Lab for Small-Scale Irrigation
    • Open Access Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    UAV-based multispectral vegetation indices for assessing the interactive effects of water and nitrogen in irrigated horticultural crops production under tropical sub-humid conditions: A case of African eggplant.

    Thumbnail
    View/ Open
    1-s2.0-S0378377422000634-main.pdf (5.250Mb)
    Date
    2022
    Author
    Mwinuka, P. R.
    Mourice, S. K.
    Mbungu, W. B.
    Mbilinyi, B. P.
    Tumbo, S. D.
    Schmitter, P.
    Metadata
    Show full item record
    Abstract
    UAV-based multispectral vegetation indices are often used to assess crop performance and water consumptive use. However, their ability to assess the interaction between water, especially deficit irrigation, and nitrogen application rates in irrigated agriculture has been less explored. Understanding the effect of water-nitrogen interactions on vegetation indices could further support optimal water and N management. Therefore, this study used a split plot design with water being the main factor and N being the sub-factor. African eggplants were drip irrigated at 100% (I100), 80% (I80) or 60% (I60) of the crop water requirements and received 100% (F100), 75% (F75), 50% (F50) or 0% (F0) of the crop N requirements. Results showed that the transformed difference vegetation index (TDVI) was best in distinguishing differences in leaf moisture content (LMC) during the vegetative stage irrespective of the N treatment. The green normalized difference vegetation index (GNDVI) worked well to distinguish leaf N during vegetative and full vegetative stages. However, the detection of the interactive effect of water and N on crop performance required a combination of GNDVI, NDVI and OSAVI across both stages as each of these 3 VI showed an ability to detect some but not all treatments. The fact that a certain amount of irrigation water can optimize the efficiency of N uptake by the plant is an important criterion to consider in developing crop specific VI based decision trees for crop performance assessments and yield prediction.
    URI
    https://hdl.handle.net/1969.1/196208
    Collections
    • Open Access Publications
    Citation
    Mwinuka, P. R.; Mourice, S. K.; Mbungu, W. B.; Mbilinyi, B. P.; Tumbo, S. D.; Schmitter, P. (2022). UAV-based multispectral vegetation indices for assessing the interactive effects of water and nitrogen in irrigated horticultural crops production under tropical sub-humid conditions: A case of African eggplant. Agricultural Water Management. 266(31), 107516.

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Advanced Search

    Browse

    All of OAKTrustCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDepartmentTypeThis CollectionBy Issue DateAuthorsTitlesSubjectsDepartmentType

    My Account

    LoginRegister

    Statistics

    View Usage Statistics
    Help and Documentation

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV