Use of the CSM-CROPGRO-peanut model in Argentina to estimate optimal sowing date and crop water productivity under different soil water content

Almost 99% of Argentine peanut production is localized in Córdoba province, mainly under a rainfed regime. In this region, rainfall fluctuations can lead to droughts of varying severity. The peanut optimum sowing date can be determined using a crop growth model and historical climatic data, estimati...

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Autores principales: Ovando, Gustavo Gabriel, Haro Juarez, Ricardo Javier
Formato: info:ar-repo/semantics/artículo
Lenguaje:Inglés
Publicado: Instituto PROS 2024
Materias:
Acceso en línea:http://hdl.handle.net/20.500.12123/17802
https://www.southamericansciences.com.br/index.php/sas/article/view/188
http://dx.doi.org/10.52755/sas.v3i2.188
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author Ovando, Gustavo Gabriel
Haro Juarez, Ricardo Javier
author_browse Haro Juarez, Ricardo Javier
Ovando, Gustavo Gabriel
author_facet Ovando, Gustavo Gabriel
Haro Juarez, Ricardo Javier
author_sort Ovando, Gustavo Gabriel
collection INTA Digital
description Almost 99% of Argentine peanut production is localized in Córdoba province, mainly under a rainfed regime. In this region, rainfall fluctuations can lead to droughts of varying severity. The peanut optimum sowing date can be determined using a crop growth model and historical climatic data, estimating the impact of drought on yields. This simulation aimed to identify optimum sowing dates of peanuts growing under three available water contents at seeding, in Córdoba. A secondary objective was to determine the responses of yield and dry matter to crop evapotranspiration and transpiration for the different treatments. CROPGRO-Peanut model seasonal analysis was carried out. For this, weather data from 1973 to 2019 at Manfredi Experimental Station, and crop coefficients of cultivar ASEM 485 INTA were used. The soil employed was a silty loam Typic Haplustoll. Treatments were: three available water contents up to 150 cm deep (30%, 60%, and 100%) at seeding, and two sowing dates (21/Oct. and 9/Dec.). The optimal planting date, determined by CSM-CROPGRO-peanut for Córdoba is influenced by the soil water content at sowing. In both sowing dates, a higher median seed yield and a smaller interquartile difference were determined when soil water content increased. In each soil moisture, the late sowing date presented lower median values but less variability. The number of bad years was 15 when the initial moisture content was 30%, regardless of the sowing date. The remaining planting date-initial water combinations did not determine bad years. Increases in early/late planting ranged from 19/12 36/31 and 46/42 good years when increasing moisture content. The highest water content at planting is associated with luxury consumption. Dry matter production/yield best fits a linear relationship when compared to transpiration rather than crop evapotranspiration. This behavior is accentuated in the early planting date.
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spelling INTA178022024-05-20T10:39:38Z Use of the CSM-CROPGRO-peanut model in Argentina to estimate optimal sowing date and crop water productivity under different soil water content Ovando, Gustavo Gabriel Haro Juarez, Ricardo Javier Arachis Hypogaea Sequía Cultivo Siembra Drought Cultivation Sowing Argentina Maní Evapotranspiración del Cultivo Transpiración del Cultivo CSM-CROPGRO Peanuts Crop Evapotranspiration Crop Transpiration Almost 99% of Argentine peanut production is localized in Córdoba province, mainly under a rainfed regime. In this region, rainfall fluctuations can lead to droughts of varying severity. The peanut optimum sowing date can be determined using a crop growth model and historical climatic data, estimating the impact of drought on yields. This simulation aimed to identify optimum sowing dates of peanuts growing under three available water contents at seeding, in Córdoba. A secondary objective was to determine the responses of yield and dry matter to crop evapotranspiration and transpiration for the different treatments. CROPGRO-Peanut model seasonal analysis was carried out. For this, weather data from 1973 to 2019 at Manfredi Experimental Station, and crop coefficients of cultivar ASEM 485 INTA were used. The soil employed was a silty loam Typic Haplustoll. Treatments were: three available water contents up to 150 cm deep (30%, 60%, and 100%) at seeding, and two sowing dates (21/Oct. and 9/Dec.). The optimal planting date, determined by CSM-CROPGRO-peanut for Córdoba is influenced by the soil water content at sowing. In both sowing dates, a higher median seed yield and a smaller interquartile difference were determined when soil water content increased. In each soil moisture, the late sowing date presented lower median values but less variability. The number of bad years was 15 when the initial moisture content was 30%, regardless of the sowing date. The remaining planting date-initial water combinations did not determine bad years. Increases in early/late planting ranged from 19/12 36/31 and 46/42 good years when increasing moisture content. The highest water content at planting is associated with luxury consumption. Dry matter production/yield best fits a linear relationship when compared to transpiration rather than crop evapotranspiration. This behavior is accentuated in the early planting date. Cerca de 99% da produção de amendoim da Argentina está localizada na província de Córdoba, principalmente sob regime de sequeiro. Nesta região, as flutuações das chuvas podem levar a secas severas. A data ideal de semeadura do amendoim pode ser determinada usando um modelo de crescimento da cultura e dados climáticos históricos, estimando o impacto da seca na produtividade. Esta simulação teve como objetivo identificar as datas ideais de semeadura do amendoim cultivado sob três teores de água disponíveis na semeadura, em Córdoba. Outro objetivo, foi determinar as respostas da produtividade e da matéria seca à evapotranspiração e transpiração da cultura para os diferentes tratamentos, sendo realizada análise sazonal do modelo CROPGRO-Peanut. Para isso, foram utilizados dados meteorológicos de 1973 a 2019 da Estação Experimental Manfredi, e coeficientes de cultivo da cultivar ASEM 485 INTA. O solo utilizado foi um Franco Siltoso Típico Haplustoll. Os tratamentos foram: três teores de água disponíveis até 150 cm de profundidade (30%, 60% e 100%) na semeadura e duas épocas de semeadura (21/out. e 9/dez.). A data ideal de plantio, determinada pelo CSM-CROPGRO-Peanut para Córdoba, é influenciada pelo teor de água do solo na semeadura. Em ambas as épocas de semeadura, observou-se maior produtividade média de sementes e menor diferença interquartílica quando o teor de água do solo aumentou. Em cada umidade do solo, a época de semeadura tardia apresentou valores medianos menores, mas com menor variabilidade. O número de anos ruins foi de 15 quando o teor de umidade inicial foi de 30%, independente da época de semeadura. As demais combinações de água no início do plantio não determinaram anos ruins. Os aumentos no plantio precoce/tardio variaram de 19/12, 36/31 e 46/42 anos bons ao aumentar o teor de umidade. O maior teor de água no plantio está associado ao consumo de luxo. A produção de matéria seca e produtividade se ajustaram melhor a uma relação linear, quando comparada à transpiração do que à evapotranspiração da cultura. Esse comportamento é acentuado na data de plantio. Casi el 99% de la producción argentina de maní se localiza en la provincia de Córdoba, principalmente en régimen de secano. En esta región, las fluctuaciones de las precipitaciones pueden provocar sequías de diversa gravedad. La fecha óptima de siembra del maní se puede determinar utilizando un modelo de cultivo y datos climáticos históricos para estimar el impacto de la sequía en los rendimientos. El objetivo de esta simulación fue identificar fechas óptimas de siembra de maní bajo tres contenidos de agua disponible en la siembra, en Córdoba. Un objetivo secundario fue analizar el comportamiento del rendimiento y la materia seca en respuesta a la evapotranspiración y transpiración del cultivo para los diferentes tratamientos. Se realizó un análisis estacional del modelo CROPGRO-Peanut utilizando datos meteorológicos de 1973 a 2019, de la Estación Experimental Manfredi (31° 49´S, 63° 46´O) y coeficientes de cultivo del cultivar ASEM 485 INTA. El suelo empleado fue franco limoso Haplustoll Typic . Los tratamientos fueron: tres contenidos de agua disponible hasta 150 cm de profundidad (30%, 60% y 100%) en la siembra y dos fechas de siembra (21/oct y 9/dic). La fecha óptima de siembra determinada por CSM-CROPGRO-peanut para Córdoba, está influenciada por el contenido de agua del suelo a la siembra. En ambas fechas de siembra se determinó una mayor mediana de rendimiento de semilla y una menor diferencia intercuartil cuando se incrementó el contenido de agua del suelo. En cada humedad del suelo, la fecha de siembra tardía presentó valores medianos más bajos pero menor variabilidad. El número de años malos fue de 15 cuando el contenido de humedad inicial fue del 30%, independientemente de la fecha de siembra. Las combinaciones restantes de fecha de siembra-agua inicial no determinaron años malos. Los aumentos en la siembra temprana/tardía oscilaron entre 19/12, 36/31 y 46/42 años buenos al aumentar el contenido de humedad. El mayor contenido de agua en la siembra está asociado al consumo de lujo. La producción/rendimiento de materia seca se ajusta mejor a una relación lineal cuando se compara con la transpiración en lugar de la evapotranspiración del cultivo. Este comportamiento se acentúa en la fecha de siembra temprana. EEA Manfredi Fil: Ovando, Gustavo Gabriel. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina Fil: Haro Juarez, Ricardo Javier. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi. Agronomía. Grupo Manejo de Cultivos; Argentina 2024-05-20T10:19:47Z 2024-05-20T10:19:47Z 2022-10-11 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/17802 https://www.southamericansciences.com.br/index.php/sas/article/view/188 2675-7222 http://dx.doi.org/10.52755/sas.v3i2.188 eng 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 Instituto PROS South American Sciences 3 (2) : e22188. (2022)
spellingShingle Arachis Hypogaea
Sequía
Cultivo
Siembra
Drought
Cultivation
Sowing
Argentina
Maní
Evapotranspiración del Cultivo
Transpiración del Cultivo
CSM-CROPGRO
Peanuts
Crop Evapotranspiration
Crop Transpiration
Ovando, Gustavo Gabriel
Haro Juarez, Ricardo Javier
Use of the CSM-CROPGRO-peanut model in Argentina to estimate optimal sowing date and crop water productivity under different soil water content
title Use of the CSM-CROPGRO-peanut model in Argentina to estimate optimal sowing date and crop water productivity under different soil water content
title_full Use of the CSM-CROPGRO-peanut model in Argentina to estimate optimal sowing date and crop water productivity under different soil water content
title_fullStr Use of the CSM-CROPGRO-peanut model in Argentina to estimate optimal sowing date and crop water productivity under different soil water content
title_full_unstemmed Use of the CSM-CROPGRO-peanut model in Argentina to estimate optimal sowing date and crop water productivity under different soil water content
title_short Use of the CSM-CROPGRO-peanut model in Argentina to estimate optimal sowing date and crop water productivity under different soil water content
title_sort use of the csm cropgro peanut model in argentina to estimate optimal sowing date and crop water productivity under different soil water content
topic Arachis Hypogaea
Sequía
Cultivo
Siembra
Drought
Cultivation
Sowing
Argentina
Maní
Evapotranspiración del Cultivo
Transpiración del Cultivo
CSM-CROPGRO
Peanuts
Crop Evapotranspiration
Crop Transpiration
url http://hdl.handle.net/20.500.12123/17802
https://www.southamericansciences.com.br/index.php/sas/article/view/188
http://dx.doi.org/10.52755/sas.v3i2.188
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