Quantifying critical N dilution curves across G × E × M effects for potato using a partially-pooled Bayesian hierarchical method
Multiple critical N dilution curves [CNDCs] have been previously developed for potato; however, attempts to directly compare differences in CNDCs across genotype [G], environment [E], and management [M] interactions have been confounded by non-uniform statistical methods, biased experimental data, a...
| Autores principales: | , , , , , , , , |
|---|---|
| Formato: | info:ar-repo/semantics/artículo |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2023
|
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/14366 https://www.sciencedirect.com/science/article/pii/S1161030123000126 https://doi.org/10.1016/j.eja.2023.126744 |
| _version_ | 1855037104842604544 |
|---|---|
| author | Bohman, Brian J. Culshaw-Maurer, Michael Abdallah, Feriel Ben Giletto, Claudia Bélanger, Gilles Fernández, Fabián G. Miao, Yuxin Mulla, David J. Rosen, Carl J. |
| author_browse | Abdallah, Feriel Ben Bohman, Brian J. Bélanger, Gilles Culshaw-Maurer, Michael Fernández, Fabián G. Giletto, Claudia Miao, Yuxin Mulla, David J. Rosen, Carl J. |
| author_facet | Bohman, Brian J. Culshaw-Maurer, Michael Abdallah, Feriel Ben Giletto, Claudia Bélanger, Gilles Fernández, Fabián G. Miao, Yuxin Mulla, David J. Rosen, Carl J. |
| author_sort | Bohman, Brian J. |
| collection | INTA Digital |
| description | Multiple critical N dilution curves [CNDCs] have been previously developed for potato; however, attempts to directly compare differences in CNDCs across genotype [G], environment [E], and management [M] interactions have been confounded by non-uniform statistical methods, biased experimental data, and lack of proper quantification of uncertainty in the critical N concentration [%Nc]. This study implements a partially-pooled Bayesian hierarchical method to develop CNDCs for previously published and newly reported experimental data, systematically evaluates the difference in %Nc [∆%Nc] across G × E × M effects, and directly compare CNDCs from the Bayesian framework to CNDCs from conventional statistical methods. The partially-pooled Bayesian hierarchical method implemented in this study has the advantage of being less susceptible to inferential bias at the level of individual G × E × M interactions compared to alternative statistical methods that result from insufficient quantity and quality of experimental datasets (e.g., unbalanced distribution of N limiting and non-N limiting observations). This method also allows for a direct statistical comparison of differences in %Nc across levels of the G × E × M interactions. Where found to be significant, ∆%Nc was hypothesized to be related to variation in the timing of tuber initiation (e.g., maturity class) and the relative rate of tuber bulking (e.g., planting density) across G x E × M interactions. In addition to using the median value for %Nc (i.e., CNDC), the lower and upper boundary values for the credible region (i.e., CNDClo and CNDCup) derived using the Bayesian framework should be used in calculation of N nutrition index (and other calculations) to account for uncertainty in %Nc. Overall, this study provides additional evidence that%Nc is dependent upon G × E × M interactions; therefore, evaluation of crop N status or N use efficiency must account for variation in %Nc across G × E × M interactions. |
| format | info:ar-repo/semantics/artículo |
| id | INTA14366 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA143662023-03-30T12:22:11Z Quantifying critical N dilution curves across G × E × M effects for potato using a partially-pooled Bayesian hierarchical method Bohman, Brian J. Culshaw-Maurer, Michael Abdallah, Feriel Ben Giletto, Claudia Bélanger, Gilles Fernández, Fabián G. Miao, Yuxin Mulla, David J. Rosen, Carl J. Nitrógeno Papa Eficiencia en el Uso de Nutrientes Concentración Métodos Estadísticos Nitrogen Potatoes Nutrient Use Efficiency Concentrating Statistical Methods Multiple critical N dilution curves [CNDCs] have been previously developed for potato; however, attempts to directly compare differences in CNDCs across genotype [G], environment [E], and management [M] interactions have been confounded by non-uniform statistical methods, biased experimental data, and lack of proper quantification of uncertainty in the critical N concentration [%Nc]. This study implements a partially-pooled Bayesian hierarchical method to develop CNDCs for previously published and newly reported experimental data, systematically evaluates the difference in %Nc [∆%Nc] across G × E × M effects, and directly compare CNDCs from the Bayesian framework to CNDCs from conventional statistical methods. The partially-pooled Bayesian hierarchical method implemented in this study has the advantage of being less susceptible to inferential bias at the level of individual G × E × M interactions compared to alternative statistical methods that result from insufficient quantity and quality of experimental datasets (e.g., unbalanced distribution of N limiting and non-N limiting observations). This method also allows for a direct statistical comparison of differences in %Nc across levels of the G × E × M interactions. Where found to be significant, ∆%Nc was hypothesized to be related to variation in the timing of tuber initiation (e.g., maturity class) and the relative rate of tuber bulking (e.g., planting density) across G x E × M interactions. In addition to using the median value for %Nc (i.e., CNDC), the lower and upper boundary values for the credible region (i.e., CNDClo and CNDCup) derived using the Bayesian framework should be used in calculation of N nutrition index (and other calculations) to account for uncertainty in %Nc. Overall, this study provides additional evidence that%Nc is dependent upon G × E × M interactions; therefore, evaluation of crop N status or N use efficiency must account for variation in %Nc across G × E × M interactions. EEA Balcarce Fil: Bohman, Brian J. University of Minnesota. Department of Soil, Water, and Climate; Estados Unidos. Fil: Culshaw-Maurer, Michael J. University of Arizona. CyVerse; Estados Unidos. Fil: Abdallah, Feriel Ben. Walloon Agricultural Research Centre. Productions in Agriculture Department, Crop Production Unit, Bélgica. Fil: Giletto, Claudia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Unidad Integrada Balcarce. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Fil: Bélanger, Gilles. Science and Technology Branch, Agriculture and Agri-Food Canada; Canadá. Fil: Fernández, Fabián G. University of Minnesota. Department of Soil, Water, and Climate; Estados Unidos. Fil: Miao, Yuxin. University of Minnesota. Department of Soil, Water, and Climate; Estados Unidos. Fil: Mulla, David J. University of Minnesota. Department of Soil, Water, and Climate; Estados Unidos. Fil: Rosen, Carl J. University of Minnesota. Department of Soil, Water, and Climate; Estados Unidos. 2023-03-30T12:01:17Z 2023-03-30T12:01:17Z 2023-03 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/14366 https://www.sciencedirect.com/science/article/pii/S1161030123000126 1161-0301(print) 1873-7331(online) https://doi.org/10.1016/j.eja.2023.126744 eng info:eu-repo/semantics/restrictedAccess 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 Elsevier European Journal of Agronomy 144 : 126744 (March 2023) |
| spellingShingle | Nitrógeno Papa Eficiencia en el Uso de Nutrientes Concentración Métodos Estadísticos Nitrogen Potatoes Nutrient Use Efficiency Concentrating Statistical Methods Bohman, Brian J. Culshaw-Maurer, Michael Abdallah, Feriel Ben Giletto, Claudia Bélanger, Gilles Fernández, Fabián G. Miao, Yuxin Mulla, David J. Rosen, Carl J. Quantifying critical N dilution curves across G × E × M effects for potato using a partially-pooled Bayesian hierarchical method |
| title | Quantifying critical N dilution curves across G × E × M effects for potato using a partially-pooled Bayesian hierarchical method |
| title_full | Quantifying critical N dilution curves across G × E × M effects for potato using a partially-pooled Bayesian hierarchical method |
| title_fullStr | Quantifying critical N dilution curves across G × E × M effects for potato using a partially-pooled Bayesian hierarchical method |
| title_full_unstemmed | Quantifying critical N dilution curves across G × E × M effects for potato using a partially-pooled Bayesian hierarchical method |
| title_short | Quantifying critical N dilution curves across G × E × M effects for potato using a partially-pooled Bayesian hierarchical method |
| title_sort | quantifying critical n dilution curves across g e m effects for potato using a partially pooled bayesian hierarchical method |
| topic | Nitrógeno Papa Eficiencia en el Uso de Nutrientes Concentración Métodos Estadísticos Nitrogen Potatoes Nutrient Use Efficiency Concentrating Statistical Methods |
| url | http://hdl.handle.net/20.500.12123/14366 https://www.sciencedirect.com/science/article/pii/S1161030123000126 https://doi.org/10.1016/j.eja.2023.126744 |
| work_keys_str_mv | AT bohmanbrianj quantifyingcriticalndilutioncurvesacrossgemeffectsforpotatousingapartiallypooledbayesianhierarchicalmethod AT culshawmaurermichael quantifyingcriticalndilutioncurvesacrossgemeffectsforpotatousingapartiallypooledbayesianhierarchicalmethod AT abdallahferielben quantifyingcriticalndilutioncurvesacrossgemeffectsforpotatousingapartiallypooledbayesianhierarchicalmethod AT gilettoclaudia quantifyingcriticalndilutioncurvesacrossgemeffectsforpotatousingapartiallypooledbayesianhierarchicalmethod AT belangergilles quantifyingcriticalndilutioncurvesacrossgemeffectsforpotatousingapartiallypooledbayesianhierarchicalmethod AT fernandezfabiang quantifyingcriticalndilutioncurvesacrossgemeffectsforpotatousingapartiallypooledbayesianhierarchicalmethod AT miaoyuxin quantifyingcriticalndilutioncurvesacrossgemeffectsforpotatousingapartiallypooledbayesianhierarchicalmethod AT mulladavidj quantifyingcriticalndilutioncurvesacrossgemeffectsforpotatousingapartiallypooledbayesianhierarchicalmethod AT rosencarlj quantifyingcriticalndilutioncurvesacrossgemeffectsforpotatousingapartiallypooledbayesianhierarchicalmethod |