Estimating nitrogen, phosphorus, potassium, and sulfur uptake and requirement in soybean
Estimation of crop nutrient demand, seed nutrient removal, and nutrient use efficiency (yield to nutrient uptake ratio) are crucial for pursuing both balanced nutrition and more sustainable farming systems. However, the estimation of the nutrient requirements as the nutrient uptake per unit of seed...
| Autores principales: | , , , , , , , , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2021
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| Acceso en línea: | http://hdl.handle.net/20.500.12123/9247 https://www.sciencedirect.com/science/article/abs/pii/S1161030121000617 https://doi.org/10.1016/j.eja.2021.126289 |
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| author | Salvagiotti, Fernando Magnano, Luciana Ortez, Osler Enrico, Juan Martin Barraco, Miriam Raquel Barbagelata, Pedro Anibal Condori, Alicia Adelina Di Mauro, Guido Manlla, Amalia Graciela Rotundo, Jose Luis García, Fernando O. Ferrari, Manuel Carlos Gudelj, Vicente Jorge Ciampitti, Ignacio A. |
| author_browse | Barbagelata, Pedro Anibal Barraco, Miriam Raquel Ciampitti, Ignacio A. Condori, Alicia Adelina Di Mauro, Guido Enrico, Juan Martin Ferrari, Manuel Carlos García, Fernando O. Gudelj, Vicente Jorge Magnano, Luciana Manlla, Amalia Graciela Ortez, Osler Rotundo, Jose Luis Salvagiotti, Fernando |
| author_facet | Salvagiotti, Fernando Magnano, Luciana Ortez, Osler Enrico, Juan Martin Barraco, Miriam Raquel Barbagelata, Pedro Anibal Condori, Alicia Adelina Di Mauro, Guido Manlla, Amalia Graciela Rotundo, Jose Luis García, Fernando O. Ferrari, Manuel Carlos Gudelj, Vicente Jorge Ciampitti, Ignacio A. |
| author_sort | Salvagiotti, Fernando |
| collection | INTA Digital |
| description | Estimation of crop nutrient demand, seed nutrient removal, and nutrient use efficiency (yield to nutrient uptake ratio) are crucial for pursuing both balanced nutrition and more sustainable farming systems. However, the estimation of the nutrient requirements as the nutrient uptake per unit of seed yields is impaired in many situations due to the narrow variation of the dataset used to obtain these values or by the overgeneralization of considering a constant value for the nutrient demand at varying yield levels. Past studies focused on other crops and using linear models for estimation of the nutrient requirements, but not yet for soybeans (Glycine max L.). The aims of this research study were to: (i) quantify nitrogen (N), phosphorus (P), potassium (K), and sulfur (S) requirements in soybean and (ii) compare linear and non-linear (spherical) models in their relationship between plant and seed nutrient content all relative to seed yield at varying probabilities utilizing quantile regression. A large dataset from different studies conducted between 2009–2018 period, including data of seed yield, total biomass at physiological maturity, and N, P, K, and S uptake. Soybean seed yield ranged from 955 to 6525 kg ha−1, aboveground biomass from 1990 to 15,814 kg ha−1, and harvest index from 0.16 to 0.57. On average, nutrient uptake was 261 kg N ha−1, 25 kg P ha−1, 133 kg K ha−1, and 16 kg S ha−1 (N:P:K:S ratio = 17:1.6:8.5:1), while nutrient content in seeds averaged 191 kg N ha−1, 17 kg P ha−1, 54 kg K ha−1, and 9 kg S ha−1 (N:P:K:S ratio = 21:1.8:5.8:1). The spherical model described better than the linear model the relationship between plant nutrient uptake or nutrient content in seeds with seed yield in soybean, and thus, nutrient requirements per unit of yield decreased as seed yield increased. A relationship between nutrient internal efficiency and seed yield for the different percentiles as determined by the non-linear quantile regression offered probabilistic values for estimating nutrient uptake in soybean, providing useful information for obtaining more reliable estimates of nutrient balances at the system-level. |
| format | Artículo |
| id | INTA9247 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA92472021-05-03T13:29:01Z Estimating nitrogen, phosphorus, potassium, and sulfur uptake and requirement in soybean Salvagiotti, Fernando Magnano, Luciana Ortez, Osler Enrico, Juan Martin Barraco, Miriam Raquel Barbagelata, Pedro Anibal Condori, Alicia Adelina Di Mauro, Guido Manlla, Amalia Graciela Rotundo, Jose Luis García, Fernando O. Ferrari, Manuel Carlos Gudelj, Vicente Jorge Ciampitti, Ignacio A. Soja Nutrientes Nitrógeno Fósforo Potasio Azufre Absorción de Sustancias Nutritivas Soybeans Nutrients Nitrogen Phosphorus Potassium Sulphur Nutrient Uptake Estimation of crop nutrient demand, seed nutrient removal, and nutrient use efficiency (yield to nutrient uptake ratio) are crucial for pursuing both balanced nutrition and more sustainable farming systems. However, the estimation of the nutrient requirements as the nutrient uptake per unit of seed yields is impaired in many situations due to the narrow variation of the dataset used to obtain these values or by the overgeneralization of considering a constant value for the nutrient demand at varying yield levels. Past studies focused on other crops and using linear models for estimation of the nutrient requirements, but not yet for soybeans (Glycine max L.). The aims of this research study were to: (i) quantify nitrogen (N), phosphorus (P), potassium (K), and sulfur (S) requirements in soybean and (ii) compare linear and non-linear (spherical) models in their relationship between plant and seed nutrient content all relative to seed yield at varying probabilities utilizing quantile regression. A large dataset from different studies conducted between 2009–2018 period, including data of seed yield, total biomass at physiological maturity, and N, P, K, and S uptake. Soybean seed yield ranged from 955 to 6525 kg ha−1, aboveground biomass from 1990 to 15,814 kg ha−1, and harvest index from 0.16 to 0.57. On average, nutrient uptake was 261 kg N ha−1, 25 kg P ha−1, 133 kg K ha−1, and 16 kg S ha−1 (N:P:K:S ratio = 17:1.6:8.5:1), while nutrient content in seeds averaged 191 kg N ha−1, 17 kg P ha−1, 54 kg K ha−1, and 9 kg S ha−1 (N:P:K:S ratio = 21:1.8:5.8:1). The spherical model described better than the linear model the relationship between plant nutrient uptake or nutrient content in seeds with seed yield in soybean, and thus, nutrient requirements per unit of yield decreased as seed yield increased. A relationship between nutrient internal efficiency and seed yield for the different percentiles as determined by the non-linear quantile regression offered probabilistic values for estimating nutrient uptake in soybean, providing useful information for obtaining more reliable estimates of nutrient balances at the system-level. EEA Oliveros Fil: Salvagiotti, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentina Fil: Salvagiotti, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Magnano, Luciana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentina Fil: Ortez, Osler. University of Nebraska-Lincoln. Department of Agronomy and Horticulture; Estados Unidos Fil: Enrico, Juan Martin. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentina Fil: Barraco, Mariam Raquel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria General Villegas; Argentina. Fil: Barbagelata, Pedro Anibal. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentina Fil: Condori, Alicia Adelina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentina Fil: Di Mauro, Guido. Corteva Agriscience. Predictive Agriculture; Estados Unidos Fil: Manlla, Amalia Graciela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentina Fil: Rotundo, José Luis. Corteva Agriscience. Predictive Agriculture; Estados Unidos Fil: García, Fernando O. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina Fil: Ferrari, Manuel Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino; Argentina Fil: Gudelj, Vicente Jorge. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentina Fil: Ciampitti, Ignacio A. Kansas State University. Department of Agronomy; Estados Unidos 2021-05-03T13:21:42Z 2021-05-03T13:21:42Z 2021-07 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/9247 https://www.sciencedirect.com/science/article/abs/pii/S1161030121000617 1161-0301 https://doi.org/10.1016/j.eja.2021.126289 eng info:eu-repograntAgreement/INTA/PNCER-022421/AR./Diagnostico, reposición de macronutrientes y tecnología de la fertilización. info:eu-repograntAgreement/INTA/PNCYO-1127033/AR./Manejo nutricional de cereales y oleaginosas para la intensificación sustentable de los sistemas productivos info:eu-repo/semantics/restrictedAccess application/pdf Elsevier European Journal of Agronomy 127 : 126289 (July 2021) |
| spellingShingle | Soja Nutrientes Nitrógeno Fósforo Potasio Azufre Absorción de Sustancias Nutritivas Soybeans Nutrients Nitrogen Phosphorus Potassium Sulphur Nutrient Uptake Salvagiotti, Fernando Magnano, Luciana Ortez, Osler Enrico, Juan Martin Barraco, Miriam Raquel Barbagelata, Pedro Anibal Condori, Alicia Adelina Di Mauro, Guido Manlla, Amalia Graciela Rotundo, Jose Luis García, Fernando O. Ferrari, Manuel Carlos Gudelj, Vicente Jorge Ciampitti, Ignacio A. Estimating nitrogen, phosphorus, potassium, and sulfur uptake and requirement in soybean |
| title | Estimating nitrogen, phosphorus, potassium, and sulfur uptake and requirement in soybean |
| title_full | Estimating nitrogen, phosphorus, potassium, and sulfur uptake and requirement in soybean |
| title_fullStr | Estimating nitrogen, phosphorus, potassium, and sulfur uptake and requirement in soybean |
| title_full_unstemmed | Estimating nitrogen, phosphorus, potassium, and sulfur uptake and requirement in soybean |
| title_short | Estimating nitrogen, phosphorus, potassium, and sulfur uptake and requirement in soybean |
| title_sort | estimating nitrogen phosphorus potassium and sulfur uptake and requirement in soybean |
| topic | Soja Nutrientes Nitrógeno Fósforo Potasio Azufre Absorción de Sustancias Nutritivas Soybeans Nutrients Nitrogen Phosphorus Potassium Sulphur Nutrient Uptake |
| url | http://hdl.handle.net/20.500.12123/9247 https://www.sciencedirect.com/science/article/abs/pii/S1161030121000617 https://doi.org/10.1016/j.eja.2021.126289 |
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