@prefix ep: .
@prefix rdfs: .
@prefix foaf: .
@prefix bibo: .
@prefix eprel: .
@prefix event: .
@prefix owl: .
@prefix cc: .
@prefix void: .
@prefix dc: .
@prefix epid: .
@prefix rdf: .
@prefix dct: .
@prefix geo: .
@prefix xsd: .
@prefix skos: .
<>
foaf:primaryTopic ;
rdfs:comment "The repository administrator has not yet configured an RDF license."^^xsd:string .
dc:format "text/html";
dc:title "HTML Summary of #11247 \n\nPredicting Rice Yield Under Salinity Stress Using K/Na Ratio Variable in Plant Tissue\n\n";
foaf:primaryTopic .
rdf:type bibo:Document,
ep:Document;
rdfs:label "Predicting Rice Yield Under Salinity Stress Using K/Na Ratio Variable in Plant Tissue (PDF)"^^xsd:string .
eprel:isIndexCodesVersionOf ;
eprel:isVersionOf ;
eprel:isVolatileVersionOf ;
rdf:type ep:Document;
rdfs:label "Predicting Rice Yield Under Salinity Stress Using K/Na Ratio Variable in Plant Tissue (Other)"^^xsd:string .
rdf:_1 ;
rdf:_2 ;
rdf:_3 ;
rdf:_4 ;
rdf:_5 ;
rdf:_6 ;
rdf:_7 .
bibo:abstract "Estimation of yield reduction in crop caused by the salinity stress is mostly based on variations of soil electrical conductivity and the severity of water stress. Crop response curves to salinity were developed without considering ion toxicity and nutritional imbalance in the plant. The objective of this study was to explore the possibility of using the ratio of the concentration of potassium by sodium in rice leaf (leaf-K/Na) to predict yield under the salinity stress. The rice (Oryza sativa L.) yield under fresh and saline condition and the leaf-K/Na related database was created. Data were collected from consecutive three seasons of a field experiment in the Africa Rice Center experimental farm in Senegal (16° 11ʹ N, 16° 15ʹW). We studied the relationship between the relative yield (Yr), a ratio of yield under the salinity stress to the potential yield and the leaf-K/Na (x). Furthermore, we did regression analyses and F-test to determine the best fitting function. Results indicate that the exponential function [i.e. Yr = 100 exp (-b x)] was the best fitting model with the lowest root mean square error (9.683) and the highest R2 value (0.90). Example applications on independent data from published papers showed relatively good predictions, suggesting that the model can be used to predict rice yield in saline soils."^^xsd:string;
bibo:authorList ;
bibo:issue "11";
bibo:status ,
;
bibo:volume "50";
dc:hasVersion ;
dct:creator ,
,
,
,
,
,
;
dct:date "2019";
dct:isPartOf ,
;
dct:publisher ;
dct:subject ,
,
;
dct:title "Predicting Rice Yield Under Salinity Stress Using K/Na Ratio Variable in Plant Tissue"^^xsd:string;
ep:hasDocument ,
;
ep:hasPublished ;
rdf:type bibo:AcademicArticle,
bibo:Article,
ep:ArticleEPrint,
ep:EPrint;
rdfs:seeAlso .
rdf:type skos:Concept;
skos:prefLabel "Rice"@en .
rdf:type skos:Concept;
skos:prefLabel "Soil"@en .
rdf:type skos:Concept;
skos:prefLabel "Soil Science"@en .
foaf:name "Taylor & Francis"^^xsd:string;
rdf:type foaf:Organization .
foaf:familyName "Bado"^^xsd:string;
foaf:givenName "V B"^^xsd:string;
foaf:name "V B Bado"^^xsd:string;
rdf:type foaf:Person .
foaf:familyName "Futakuchi"^^xsd:string;
foaf:givenName "K"^^xsd:string;
foaf:name "K Futakuchi"^^xsd:string;
rdf:type foaf:Person .
foaf:familyName "Manneh"^^xsd:string;
foaf:givenName "B"^^xsd:string;
foaf:name "B Manneh"^^xsd:string;
rdf:type foaf:Person .
foaf:familyName "Djaman"^^xsd:string;
foaf:givenName "K"^^xsd:string;
foaf:name "K Djaman"^^xsd:string;
rdf:type foaf:Person .
foaf:familyName "Nati"^^xsd:string;
foaf:givenName "D A B"^^xsd:string;
foaf:name "D A B Nati"^^xsd:string;
rdf:type foaf:Person .
foaf:familyName "Ndiaye"^^xsd:string;
foaf:givenName "S"^^xsd:string;
foaf:name "S Ndiaye"^^xsd:string;
rdf:type foaf:Person .
foaf:familyName "Mel"^^xsd:string;
foaf:givenName "V C"^^xsd:string;
foaf:name "V C Mel"^^xsd:string;
rdf:type foaf:Person .
bibo:issn "00103624";
foaf:name "Communications in Soil Science and Plant Analysis (TSI)"^^xsd:string;
owl:sameAs ;
rdf:type bibo:Collection .