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An integrated approach for the estimation of crop water requirements based on soil, plant and atmospheric measurements

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dc.contributor.author Jovanovic, Nebojsa
dc.contributor.author Dzikiti, Sebinasi
dc.contributor.author Gush, Mark B
dc.date.accessioned 2019-02-02T12:45:01Z
dc.date.available 2019-02-02T12:45:01Z
dc.date.issued 2018-07
dc.identifier.citation Jovanovic, N., Dzikiti, S. and Gush, M.B. 2018. An integrated approach for the estimation of crop water requirements based on soil, plant and atmospheric measurements. In: Water Management for Sustainable Agriculture: http://dx.doi.org/10.19103/AS.2017.0037.18 en_US
dc.identifier.isbn 9781786761767-018
dc.identifier.uri http://dx.doi.org/10.19103/AS.2017.0037.18
dc.identifier.uri https://shop.bdspublishing.com/checkout/Store/bds/Detail/Product/3-190-9781786761767-018
dc.identifier.uri http://hdl.handle.net/10204/10668
dc.description Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website. The definitive version of the work can be obtained via http://dx.doi.org/10.19103/AS.2017.0037.18 en_US
dc.description.abstract In this chapter, we argue that an integrated approach for estimating crop water requirements is required to account for atmospheric conditions, plant water status and soil properties. The chapter first reviews the concepts, principles, limits and advantages of the soil–plant–atmosphere–based methods to estimate crop water requirements at field level. The usefulness and complementarity of the integrated approach is then demonstrated through a case study to determine water requirements of an apple orchard in South Africa. Finally, the applicability of different methods, directions for future research and additional information for specific conditions are provided. en_US
dc.language.iso en en_US
dc.publisher Burleigh Dodds Science Publishing en_US
dc.relation.ispartofseries Worklist;21793
dc.subject Eddy covariance system en_US
dc.subject Remote sensing en_US
dc.subject Sap flow en_US
dc.subject Soil-plant-atmosphere continuum en_US
dc.subject Time domain reflectometry en_US
dc.title An integrated approach for the estimation of crop water requirements based on soil, plant and atmospheric measurements en_US
dc.type Book Chapter en_US
dc.identifier.apacitation Jovanovic, N., Dzikiti, S., & Gush, M. B. (2018). An integrated approach for the estimation of crop water requirements based on soil, plant and atmospheric measurements., <i>Worklist;21793</i> Burleigh Dodds Science Publishing. http://hdl.handle.net/10204/10668 en_ZA
dc.identifier.chicagocitation Jovanovic, Nebojsa, Sebinasi Dzikiti, and Mark B Gush. "An integrated approach for the estimation of crop water requirements based on soil, plant and atmospheric measurements" In <i>WORKLIST;21793</i>, n.p.: Burleigh Dodds Science Publishing. 2018. http://hdl.handle.net/10204/10668. en_ZA
dc.identifier.vancouvercitation Jovanovic N, Dzikiti S, Gush MB. An integrated approach for the estimation of crop water requirements based on soil, plant and atmospheric measurements.. Worklist;21793. [place unknown]: Burleigh Dodds Science Publishing; 2018. [cited yyyy month dd]. http://hdl.handle.net/10204/10668. en_ZA
dc.identifier.ris TY - Book Chapter AU - Jovanovic, Nebojsa AU - Dzikiti, Sebinasi AU - Gush, Mark B AB - In this chapter, we argue that an integrated approach for estimating crop water requirements is required to account for atmospheric conditions, plant water status and soil properties. The chapter first reviews the concepts, principles, limits and advantages of the soil–plant–atmosphere–based methods to estimate crop water requirements at field level. The usefulness and complementarity of the integrated approach is then demonstrated through a case study to determine water requirements of an apple orchard in South Africa. Finally, the applicability of different methods, directions for future research and additional information for specific conditions are provided. DA - 2018-07 DB - ResearchSpace DO - 10.19103/AS.2017.0037.18 DP - CSIR KW - Eddy covariance system KW - Remote sensing KW - Sap flow KW - Soil-plant-atmosphere continuum KW - Time domain reflectometry LK - https://researchspace.csir.co.za PY - 2018 SM - 9781786761767-018 T1 - An integrated approach for the estimation of crop water requirements based on soil, plant and atmospheric measurements TI - An integrated approach for the estimation of crop water requirements based on soil, plant and atmospheric measurements UR - http://hdl.handle.net/10204/10668 ER - en_ZA


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