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

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cg.contributor.donorUnited States Agency for International Developmenten
cg.coverage.countryTanzania
cg.coverage.iso3166-alpha2TZ
cg.coverage.regionAfrica
cg.coverage.regionEastern Africa
cg.coverage.subregionKilosa
cg.creator.identifierPetra Schmitter: 0000-0002-3826-7224
cg.identifier.doihttps://doi.org/10.1016/j.agwat.2022.107516en
cg.identifier.iwmilibraryH051019
cg.isijournalISI Journalen
cg.issn0378-3774en
cg.journalAgricultural Water Managementen
cg.reviewStatusPeer Reviewen
cg.volume266en
dc.contributor.authorMwinuka, P. R.en
dc.contributor.authorMourice, S. K.en
dc.contributor.authorMbungu, W. B.en
dc.contributor.authorMbilinyi, B. P.en
dc.contributor.authorTumbo, S. D.en
dc.contributor.authorSchmitter, Petraen
dc.date.accessioned2022-03-31T04:09:32Zen
dc.date.available2022-03-31T04:09:32Zen
dc.identifier.urihttps://hdl.handle.net/10568/119187
dc.titleUAV-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 eggplanten
dcterms.abstractUAV-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.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationMwinuka, P. R.; Mourice, S. K.; Mbungu, W. B.; Mbilinyi, B. P.; Tumbo, S. D.; Schmitter, Petra. 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, 266:107516. [doi: https://doi.org/10.1016/j.agwat.2022.107516]en
dcterms.extent266:107516en
dcterms.issued2022-05
dcterms.languageen
dcterms.licenseCC-BY-NC-ND-4.0
dcterms.publisherElsevieren
dcterms.subjectcrop productionen
dcterms.subjectwater use efficiencyen
dcterms.subjectnitrogenen
dcterms.subjectunmanned aerial vehiclesen
dcterms.subjectirrigated farmingen
dcterms.subjectvegetation indexen
dcterms.subjectwater stressen
dcterms.subjectsubhumid climateen
dcterms.subjecthorticultureen
dcterms.subjecteggplantsen
dcterms.subjectcrop yielden
dcterms.subjectirrigation wateren
dcterms.subjectwater requirementsen
dcterms.typeJournal Article

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