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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
03/09/2019 |
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Actualizado : |
03/09/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
MONTOYA, F.; OTERO, A. |
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Afiliación : |
FRANCISCO MONTOYA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALVARO RICARDO OTERO CAMA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Is Irrigating Soybean Profitable In Uruguay? A Modeling Approach. |
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Complemento del título : |
Climatology and Water Management. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Agronomy Journal, 2019, vol. 111: 2: 749-763. |
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DOI : |
10.2134/agronj2018.05.0300 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: May 04, 2018 / Accepted: Oct 31, 2018 / Published: January 10, 2019.
Supplemental material. |
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Contenido : |
ABSTRACT.
Use of climatic models to predict the El Niño/Southern Oscillation (ENSO) cycle coupled with decision support system tools can optimize management of the major crops grown in South America. AquaCrop model was applied in this paper based on field data from a soybean deficit irrigation trial in the northwestern region of Uruguay. The AquaCrop model was suitable for simulating the biomass and yield at harvest, as well as the soil water content of the soybean crop root zone, with an acceptable goodness of fit (Willmott aggregation index [IoA] > 0.80) and low estimation errors (NRMSE < 20%). After calibration and validation, AquaCrop was used to simulate 35 characteristic years for this area to analyze soybean production under irrigation and rainfed conditions, as well as to study the effect of different sowing dates and the ENSO cycle on soybean yield. This research concluded that irrigation would significantly increase the crop yield, providing stable yields for farm systems regardless of the sowing date and the ENSO cycle considered. Additionally, irrigation reducing the dependence on favorable weather for planting, allowing more flexibility in sowing date for growers. The calculated profit margins were between 6 to 36% higher using irrigation than under rainfed conditions when soybean sale price was higher than 275 US$ t?1. With lower soybean sale price, the rainfed crop may be the most desirable option for growers regardless of ENSO cycle.
Copyright © 2019 by the American Society of Agronomy, Inc. MenosABSTRACT.
Use of climatic models to predict the El Niño/Southern Oscillation (ENSO) cycle coupled with decision support system tools can optimize management of the major crops grown in South America. AquaCrop model was applied in this paper based on field data from a soybean deficit irrigation trial in the northwestern region of Uruguay. The AquaCrop model was suitable for simulating the biomass and yield at harvest, as well as the soil water content of the soybean crop root zone, with an acceptable goodness of fit (Willmott aggregation index [IoA] > 0.80) and low estimation errors (NRMSE < 20%). After calibration and validation, AquaCrop was used to simulate 35 characteristic years for this area to analyze soybean production under irrigation and rainfed conditions, as well as to study the effect of different sowing dates and the ENSO cycle on soybean yield. This research concluded that irrigation would significantly increase the crop yield, providing stable yields for farm systems regardless of the sowing date and the ENSO cycle considered. Additionally, irrigation reducing the dependence on favorable weather for planting, allowing more flexibility in sowing date for growers. The calculated profit margins were between 6 to 36% higher using irrigation than under rainfed conditions when soybean sale price was higher than 275 US$ t?1. With lower soybean sale price, the rainfed crop may be the most desirable option for growers regardless of ENSO cycle.
Copyright © 2019 by the A... Presentar Todo |
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Palabras claves : |
El Niño/Southern Oscillation (ENSO); ENSO. |
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Thesagro : |
SOJA. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02193naa a2200193 a 4500
001 1060134
005 2019-09-03
008 2019 bl uuuu u00u1 u #d
024 7 $a10.2134/agronj2018.05.0300$2DOI
100 1 $aMONTOYA, F.
245 $aIs Irrigating Soybean Profitable In Uruguay? A Modeling Approach.$h[electronic resource]
260 $c2019
500 $aArticle history: Received: May 04, 2018 / Accepted: Oct 31, 2018 / Published: January 10, 2019. Supplemental material.
520 $aABSTRACT. Use of climatic models to predict the El Niño/Southern Oscillation (ENSO) cycle coupled with decision support system tools can optimize management of the major crops grown in South America. AquaCrop model was applied in this paper based on field data from a soybean deficit irrigation trial in the northwestern region of Uruguay. The AquaCrop model was suitable for simulating the biomass and yield at harvest, as well as the soil water content of the soybean crop root zone, with an acceptable goodness of fit (Willmott aggregation index [IoA] > 0.80) and low estimation errors (NRMSE < 20%). After calibration and validation, AquaCrop was used to simulate 35 characteristic years for this area to analyze soybean production under irrigation and rainfed conditions, as well as to study the effect of different sowing dates and the ENSO cycle on soybean yield. This research concluded that irrigation would significantly increase the crop yield, providing stable yields for farm systems regardless of the sowing date and the ENSO cycle considered. Additionally, irrigation reducing the dependence on favorable weather for planting, allowing more flexibility in sowing date for growers. The calculated profit margins were between 6 to 36% higher using irrigation than under rainfed conditions when soybean sale price was higher than 275 US$ t?1. With lower soybean sale price, the rainfed crop may be the most desirable option for growers regardless of ENSO cycle. Copyright © 2019 by the American Society of Agronomy, Inc.
650 $aSOJA
653 $aEl Niño/Southern Oscillation (ENSO)
653 $aENSO
700 1 $aOTERO, A.
773 $tAgronomy Journal, 2019, vol. 111: 2: 749-763.
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