{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1362262946065823488.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1071/ar05361"}},{"identifier":{"@type":"URI","@value":"https://connectsci.au/cp/article-pdf/57/7/781/1042732/ar05361.pdf"}}],"dc:title":[{"@value":"Detection of nitrogen deficiency in wheat from spectral reflectance indices and basic crop eco-physiological concepts"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:p>We tested the capacity of several published multispectral indices to estimate the nitrogen nutrition of wheat canopies grown under different levels of water supply and plant density and derived a simple canopy reflectance index that is greatly independent of those factors. Planar domain geometry was used to account for mixed signals from the canopy and soil when the ground cover was low. A nitrogen stress index was developed, which adjusts shoot %N for plant biomass and area, thereby accounting for environmental conditions that affect growth, such as crop water status. The canopy chlorophyll content index (CCCi) and the modified spectral ratio planar index (mSRPi) could explain 68 and 69% of the observed variability in the nitrogen nutrition of the crop as early as Zadoks 33, irrespective of water status or ground cover. The CCCi was derived from the combination of 3 wavebands 670, 720 and 790 nm, and the mSRPi from 445, 705 and 750 nm, together with broader bands in the NIR and RED. The potential for their spatial application over large fields/paddocks is discussed.</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1382262946065823491","@type":"Researcher","foaf:name":[{"@value":"D. Rodriguez"}],"jpcoar:affiliationName":[{"@value":"AAgricultural Production Systems Research Unit (APSRU), Department of Primary Industries and Fisheries, PO Box 102, Toowoomba, Qld 4350, Australia."},{"@value":"ECorresponding author. Email: daniel.rodriguez@dpi.qld.gov.au"}]},{"@id":"https://cir.nii.ac.jp/crid/1382262946065823489","@type":"Researcher","foaf:name":[{"@value":"G. J. Fitzgerald"}],"jpcoar:affiliationName":[{"@value":"BUSDA-ARS, U.S. Water Conservation Laboratory, 4331 E. Broadway Rd, Phoenix, AZ 85040, USA."}]},{"@id":"https://cir.nii.ac.jp/crid/1382262946065823488","@type":"Researcher","foaf:name":[{"@value":"R. Belford"}],"jpcoar:affiliationName":[{"@value":"CPrimary Industries Research Victoria, PO Box 260, Horsham, Vic. 3401, Australia."}]},{"@id":"https://cir.nii.ac.jp/crid/1382262946065823490","@type":"Researcher","foaf:name":[{"@value":"L. K. Christensen"}],"jpcoar:affiliationName":[{"@value":"DNordic Gene Bank, PO Box 41, SE-23053 Alnarp, Sweden."}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"00049409"},{"@type":"EISSN","@value":"14449838"}],"prism:publicationName":[{"@value":"Australian Journal of Agricultural Research"}],"dc:publisher":[{"@value":"CSIRO Publishing"}],"prism:publicationDate":"2006-07-14","prism:volume":"57","prism:number":"7","prism:startingPage":"781","prism:endingPage":"789"},"reviewed":"false","dc:rights":["https://doi.org/10.1071/journalslicense"],"url":[{"@id":"https://connectsci.au/cp/article-pdf/57/7/781/1042732/ar05361.pdf"}],"createdAt":"2006-07-14","modifiedAt":"2025-10-26","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1360576118755904000","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Estimation of spikelet number per area by UAV-acquired vegetation index in rice (<i>Oryza sativa</i> L.)"}]},{"@id":"https://cir.nii.ac.jp/crid/1390007437193318784","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Analysis of Soybean Seed Yield Using Vegetation Index Captured with UAV"},{"@language":"ja","@value":"空撮によって得られた生殖成長期の植生指数によるダイズ子実収量の解析"},{"@language":"ja-Kana","@value":"クウサツ ニ ヨッテ エラレタ セイショク セイチョウキ ノ ショクセイ シスウ ニ ヨル ダイズ シジツ シュウリョウ ノ カイセキ"}]},{"@id":"https://cir.nii.ac.jp/crid/1390301142874698496","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Measurement of Vegetation Indices Using a Portable Spectrometer and Their Utilization for Diagnosis of Nitrogen Topdressing of Rice"},{"@language":"ja","@value":"携帯型分光器を用いた水稲の植生指数の測定と追肥診断への活用"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1071/ar05361"},{"@type":"CROSSREF","@value":"10.1626/jcs.90.261_references_DOI_5Re3KsuPvEgCvYNC1tqHiWaiUGh"},{"@type":"CROSSREF","@value":"10.1080/1343943x.2021.1943467_references_DOI_5Re3KsuPvEgCvYNC1tqHiWaiUGh"},{"@type":"CROSSREF","@value":"10.1626/jcs.93.209_references_DOI_5Re3KsuPvEgCvYNC1tqHiWaiUGh"}]}