A practical guide to estimating the light extinction coefficient with nonlinear models—a case study on maize
The fraction of intercepted photosynthetically active radiation (fPARi) is typically described with a non-linear function of leaf area index (LAI) and k, the light extinction coefficient. The parameter k is used to make statistical inference, as an input into crop models, and for phenotyping. It may...
| Main Authors: | , , , |
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| Format: | Artículo |
| Language: | Inglés |
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Springer Nature
2021
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| Online Access: | http://hdl.handle.net/20.500.12123/9723 https://plantmethods.biomedcentral.com/articles/10.1186/s13007-021-00753-2 https://doi.org/10.1186/s13007-021-00753-2 |
| _version_ | 1855484449199751168 |
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| author | Lacasa, Josefina Hefley, Trevor J. Otegui, María Elena Ciampitti, Ignacio A. |
| author_browse | Ciampitti, Ignacio A. Hefley, Trevor J. Lacasa, Josefina Otegui, María Elena |
| author_facet | Lacasa, Josefina Hefley, Trevor J. Otegui, María Elena Ciampitti, Ignacio A. |
| author_sort | Lacasa, Josefina |
| collection | INTA Digital |
| description | The fraction of intercepted photosynthetically active radiation (fPARi) is typically described with a non-linear function of leaf area index (LAI) and k, the light extinction coefficient. The parameter k is used to make statistical inference, as an input into crop models, and for phenotyping. It may be estimated using a variety of statistical techniques that differ in assumptions, which ultimately influences the numerical value k and associated uncertainty estimates. A systematic search of peer-reviewed publications for maize (Zea Mays L.) revealed: (i) incompleteness in reported estimation techniques; and (ii) that most studies relied on dated techniques with unrealistic assumptions, such as log-transformed linear models (LogTLM) or normally distributed data. These findings suggest that knowledge of the variety and trade-offs among statistical estimation techniques is lacking, which hinders the use of modern approaches such as Bayesian estimation (BE) and techniques with appropriate assumptions, e.g. assuming beta-distributed data. |
| format | Artículo |
| id | INTA9723 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | dspace |
| spelling | INTA97232021-07-02T16:21:31Z A practical guide to estimating the light extinction coefficient with nonlinear models—a case study on maize Lacasa, Josefina Hefley, Trevor J. Otegui, María Elena Ciampitti, Ignacio A. Radiation Maize Statistical Sampling Radiación Maíz Zea mays Muestreo Estadístico Nonlinear Models Modelos No Lineales The fraction of intercepted photosynthetically active radiation (fPARi) is typically described with a non-linear function of leaf area index (LAI) and k, the light extinction coefficient. The parameter k is used to make statistical inference, as an input into crop models, and for phenotyping. It may be estimated using a variety of statistical techniques that differ in assumptions, which ultimately influences the numerical value k and associated uncertainty estimates. A systematic search of peer-reviewed publications for maize (Zea Mays L.) revealed: (i) incompleteness in reported estimation techniques; and (ii) that most studies relied on dated techniques with unrealistic assumptions, such as log-transformed linear models (LogTLM) or normally distributed data. These findings suggest that knowledge of the variety and trade-offs among statistical estimation techniques is lacking, which hinders the use of modern approaches such as Bayesian estimation (BE) and techniques with appropriate assumptions, e.g. assuming beta-distributed data. Estación Experimental Agropecuaria Pergamino Fil: Lacasa, Josefina. Kansas State University. Department of Agronomy; Estados Unidos Fil: Lacasa, Josefina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina Fil: Hefley, Trevor J. Kansas State University. Department of Statistics; Estados Unidos Fil: Otegui, María E. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino; Argentina Fil: Otegui, María E. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina Fil: Otegui, María E. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Ciampitti , Ignacio A. Kansas State University. Department of Agronomy; Estados Unidos 2021-07-02T16:04:56Z 2021-07-02T16:04:56Z 2021-06-12 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/9723 https://plantmethods.biomedcentral.com/articles/10.1186/s13007-021-00753-2 1746-4811 https://doi.org/10.1186/s13007-021-00753-2 eng info:eu-repograntAgreement/INTA/PNCYO-1127042/AR./Bases ecofisiológicas para el mejoramiento genético y la calidad diferenciada de cereales y oleaginosas. info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Springer Nature Plant Methods 17 : 60 (2021) |
| spellingShingle | Radiation Maize Statistical Sampling Radiación Maíz Zea mays Muestreo Estadístico Nonlinear Models Modelos No Lineales Lacasa, Josefina Hefley, Trevor J. Otegui, María Elena Ciampitti, Ignacio A. A practical guide to estimating the light extinction coefficient with nonlinear models—a case study on maize |
| title | A practical guide to estimating the light extinction coefficient with nonlinear models—a case study on maize |
| title_full | A practical guide to estimating the light extinction coefficient with nonlinear models—a case study on maize |
| title_fullStr | A practical guide to estimating the light extinction coefficient with nonlinear models—a case study on maize |
| title_full_unstemmed | A practical guide to estimating the light extinction coefficient with nonlinear models—a case study on maize |
| title_short | A practical guide to estimating the light extinction coefficient with nonlinear models—a case study on maize |
| title_sort | practical guide to estimating the light extinction coefficient with nonlinear models a case study on maize |
| topic | Radiation Maize Statistical Sampling Radiación Maíz Zea mays Muestreo Estadístico Nonlinear Models Modelos No Lineales |
| url | http://hdl.handle.net/20.500.12123/9723 https://plantmethods.biomedcentral.com/articles/10.1186/s13007-021-00753-2 https://doi.org/10.1186/s13007-021-00753-2 |
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