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dc.contributor.author
Correndo, Adrián A.
dc.contributor.author
Salvagiotti, Fernando
dc.contributor.author
Garcia, Fernando Oscar
dc.contributor.author
Gutiérrez Boem, Flavio Hernán
dc.date.available
2018-06-14T21:07:13Z
dc.date.issued
2017-04
dc.identifier.citation
Correndo, Adrián A.; Salvagiotti, Fernando; Garcia, Fernando Oscar; Gutiérrez Boem, Flavio Hernán; A modification of the arcsine-log calibration curve for analysing soil test value-relative yield relationships; Csiro Publishing; Crop & Pasture Science; 68; 3; 4-2017; 297-304
dc.identifier.issn
1836-5795
dc.identifier.uri
http://hdl.handle.net/11336/48727
dc.description.abstract
This article aims to discuss the arcsine-log calibration curve (ALCC) method designed for the Better Fertiliser Decisions for Cropping Systems (BFDC) to calibrate relationships between relative yield (RY) and soil test value (STV). Its main advantage lies in estimating confidence limits of the critical value (CSTV). Nevertheless, intervals for 95% confidence level are often too wide, and authors suggest a reduction in the confidence level to 70% in order to achieve narrower estimates. Still, this method can be further improved by modifying specific procedures. For this purpose, several datasets belonging to the BFDC were used. For any confidence level, estimates with the modified ALCC procedures were always more accurate than the original ALCC. The overestimation of confidence limits with the original ALCC was inversely related to the correlation coefficient of the dataset, which might allow a relatively simple and reliable correction of previous estimates. In addition, because the method is based on the correlation between STV and RY, the importance to test it for significance is emphasised in order to support the hypothesis of a relationship. Then, the modified ALCC approach could also allow a more reliable comparison of datasets by slopes of the bivariate linear relationship between transformed variables.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Csiro Publishing
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Bivariate Model
dc.subject
Correlation
dc.subject
Standardised Major Axis Regression.
dc.subject.classification
Agricultura
dc.subject.classification
Agricultura, Silvicultura y Pesca
dc.subject.classification
CIENCIAS AGRÍCOLAS
dc.title
A modification of the arcsine-log calibration curve for analysing soil test value-relative yield relationships
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-06-06T18:44:20Z
dc.journal.volume
68
dc.journal.number
3
dc.journal.pagination
297-304
dc.journal.pais
Australia
dc.journal.ciudad
Collingwood
dc.description.fil
Fil: Correndo, Adrián A.. International Plant Nutrition Institute; Argentina
dc.description.fil
Fil: Salvagiotti, Fernando. Instituto Nacional de Tecnología Agropecuaria; Argentina
dc.description.fil
Fil: Garcia, Fernando Oscar. International Plant Nutrition Institute; Argentina
dc.description.fil
Fil: Gutiérrez Boem, Flavio Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones en Biociencias Agrícolas y Ambientales. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones en Biociencias Agrícolas y Ambientales; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Ingeniería Agrícola y Uso de la Tierra. Cátedra de Fertilidad y Fertilizantes; Argentina
dc.journal.title
Crop & Pasture Science
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1071/CP16444
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.publish.csiro.au/cp/CP16444


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    Articulos de INST.DE INVEST. EN BIOCIENCIAS AGRICOLAS Y AMBIENTALES

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