Modified crop model estimation of depleted and potential soybean yield
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| Format: | Artículo científico |
| Langue: | en |
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Universidade Estadual de Maringá
2012
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| _version_ | 1876452485933039616 |
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| author | Thomas Newton Martin |
| author_facet | Thomas Newton Martin |
| contents | Modified crop model estimation of depleted and potential soybean yield Thomas Newton Martin Durval Dourado Neto Pedro Abel Vieira Junior Antonio Roberto Pereira Paulo Augusto Manfron Pedro Jacob Christoffoleti Agrociencias crop model Glycine max water balance Leaf area index Despite the great importance of soybeans in Brazil, there have been few applications of soybean crop modeling on Brazilian conditions. Thus, the objective of this study was to use modified crop models to estimate the depleted and potential soybean crop yield in Brazil. The climatic variable data used in the modified simulation of the soybean crop models were temperature, insolation and rainfall. The data set was taken from 33 counties (28 Sao Paulo state counties, and 5 counties from other states that neighbor São Paulo). Among the models, modifications in the estimation of the leaf area of the soybean crop, which includes corrections for the temperature, shading, senescence, CO2, and biomass partition were proposed; also, the methods of input for the model’s simulation of the climatic variables were reconsidered. The depleted yields were estimated through a water balance, from which the depletion coefficient was estimated. It can be concluded that the adaptation soybean growth crop model might be used to predict the results of the depleted and potential yield of soybeans, and it can also be used to indicate better locations and periods of tillage. 2012 artículo científico 1679-9275 https://www.redalyc.org/articulo.oa?id=303025342003 en http://www.redalyc.org/revista.oa?id=3030 Acta Scientiarum. Agronomy application/pdf Universidade Estadual de Maringá Acta Scientiarum. Agronomy (Brasil) Num.4 Vol.34 |
| format | Artículo científico |
| id | redalyc_303025342003 |
| institution | Redalyc |
| language | en |
| publishDate | 2012 |
| publisher | Universidade Estadual de Maringá |
| spellingShingle | Modified crop model estimation of depleted and potential soybean yield Thomas Newton Martin Agrociencias crop model Glycine max water balance Leaf area index Modified crop model estimation of depleted and potential soybean yield Thomas Newton Martin Durval Dourado Neto Pedro Abel Vieira Junior Antonio Roberto Pereira Paulo Augusto Manfron Pedro Jacob Christoffoleti Agrociencias crop model Glycine max water balance Leaf area index Despite the great importance of soybeans in Brazil, there have been few applications of soybean crop modeling on Brazilian conditions. Thus, the objective of this study was to use modified crop models to estimate the depleted and potential soybean crop yield in Brazil. The climatic variable data used in the modified simulation of the soybean crop models were temperature, insolation and rainfall. The data set was taken from 33 counties (28 Sao Paulo state counties, and 5 counties from other states that neighbor São Paulo). Among the models, modifications in the estimation of the leaf area of the soybean crop, which includes corrections for the temperature, shading, senescence, CO2, and biomass partition were proposed; also, the methods of input for the model’s simulation of the climatic variables were reconsidered. The depleted yields were estimated through a water balance, from which the depletion coefficient was estimated. It can be concluded that the adaptation soybean growth crop model might be used to predict the results of the depleted and potential yield of soybeans, and it can also be used to indicate better locations and periods of tillage. 2012 artículo científico 1679-9275 https://www.redalyc.org/articulo.oa?id=303025342003 en http://www.redalyc.org/revista.oa?id=3030 Acta Scientiarum. Agronomy application/pdf Universidade Estadual de Maringá Acta Scientiarum. Agronomy (Brasil) Num.4 Vol.34 |
| title | Modified crop model estimation of depleted and potential soybean yield |
| topic | Agrociencias crop model Glycine max water balance Leaf area index |
| url | https://www.redalyc.org/articulo.oa?id=303025342003 |