Irrigation Scheduling to Promote Corn Productivity in Central Alabama
- Autores
- Da Cunha Leme Filho, Jose F.; Ortiz, Brenda V.; Damianidis, Damianos; Balkcom, Kipling S.; Dougherty, Mark; Poschel, Thorsten
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Agriculture is the largest consumer of water in the United States. Results from previous studies have shown thatit is possible to substantially reduce irrigation amounts and maintain corn yield. The objectives of this study wereto evaluate the advantages and disadvantages of two irrigation scheduling methods for corn production inAlabama. Two irrigation scheduling methods evaluated were: a) Checkbook, which is one of the conventionalmethods used by farmers that is based on the soil water balance estimated using water lost by evapotranspirationand its replacement through rainfall or irrigation, and b) Sensor-based, which was based on soil matric potentialvalues recorded by soil moisture tension sensors installed in the field. The experimental field was divided intotwo irrigation management zones (zone A and zone B) based on soil properties of each field. During the 2014season in zone A, significant grain yield differences were observed between the two irrigation methods. TheCheckbook plots exhibited greater yield than Sensor-based plots: 10181 kg ha-1 and 9696 kg ha-1, respectively.The greater yield on the Checkbook plots could be associated with higher irrigation rate applied, 148 mm more,compared with the Sensor-based plots. In zone B, there were no significant yield differences between bothirrigation methods; however, Sensor-based plots out yielded Checkbook plots, with 9673 kg ha-1 and 9584 kgha-1, respectively. Even though the irrigation amount applied in Checkbook located in zone B was higher, 102mm more, there were no significant yield differences. Therefore, it suggests that the Sensor-based method waspromissory irrigation scheduling strategy under the conditions of zone B. In 2015, there were no significant grainyield differences between zone A and zone B when the data from the Checkbook plots were analyzed. However,the Sensor-based treatment produced a statistically significant difference of grain yield of 13597 kg ha-1 in zoneA and 11659 kg ha-1 in zone B, also both zones received the same amount of irrigation. Overall results of bothgrowing seasons indicated that the use of the Sensor-based irrigation scheduling treatment resulted in similarvalues of total profit per hectare when compared to Checkbook method. The Sensor-based method seems apromising strategy that could result in water and financial savings, but more research is required.
Fil: Da Cunha Leme Filho, Jose F.. Virginia Polytechnic Institute; Estados Unidos
Fil: Ortiz, Brenda V.. Auburn University.; Estados Unidos
Fil: Damianidis, Damianos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Santa Fe. Estación Experimental Agropecuaria Oliveros; Argentina
Fil: Balkcom, Kipling S.. Usda-soil Dynamics Research; Estados Unidos
Fil: Dougherty, Mark. Auburn University.; Estados Unidos
Fil: Poschel, Thorsten. Auburn University.; Estados Unidos - Materia
-
VARIABLE RATE IRRIGATION
MAIZE
PRECISION AGRICULTURE
SOIL MOISTURE SENSOR - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/174513
Ver los metadatos del registro completo
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Irrigation Scheduling to Promote Corn Productivity in Central AlabamaDa Cunha Leme Filho, Jose F.Ortiz, Brenda V.Damianidis, DamianosBalkcom, Kipling S.Dougherty, MarkPoschel, ThorstenVARIABLE RATE IRRIGATIONMAIZEPRECISION AGRICULTURESOIL MOISTURE SENSORhttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Agriculture is the largest consumer of water in the United States. Results from previous studies have shown thatit is possible to substantially reduce irrigation amounts and maintain corn yield. The objectives of this study wereto evaluate the advantages and disadvantages of two irrigation scheduling methods for corn production inAlabama. Two irrigation scheduling methods evaluated were: a) Checkbook, which is one of the conventionalmethods used by farmers that is based on the soil water balance estimated using water lost by evapotranspirationand its replacement through rainfall or irrigation, and b) Sensor-based, which was based on soil matric potentialvalues recorded by soil moisture tension sensors installed in the field. The experimental field was divided intotwo irrigation management zones (zone A and zone B) based on soil properties of each field. During the 2014season in zone A, significant grain yield differences were observed between the two irrigation methods. TheCheckbook plots exhibited greater yield than Sensor-based plots: 10181 kg ha-1 and 9696 kg ha-1, respectively.The greater yield on the Checkbook plots could be associated with higher irrigation rate applied, 148 mm more,compared with the Sensor-based plots. In zone B, there were no significant yield differences between bothirrigation methods; however, Sensor-based plots out yielded Checkbook plots, with 9673 kg ha-1 and 9584 kgha-1, respectively. Even though the irrigation amount applied in Checkbook located in zone B was higher, 102mm more, there were no significant yield differences. Therefore, it suggests that the Sensor-based method waspromissory irrigation scheduling strategy under the conditions of zone B. In 2015, there were no significant grainyield differences between zone A and zone B when the data from the Checkbook plots were analyzed. However,the Sensor-based treatment produced a statistically significant difference of grain yield of 13597 kg ha-1 in zoneA and 11659 kg ha-1 in zone B, also both zones received the same amount of irrigation. Overall results of bothgrowing seasons indicated that the use of the Sensor-based irrigation scheduling treatment resulted in similarvalues of total profit per hectare when compared to Checkbook method. The Sensor-based method seems apromising strategy that could result in water and financial savings, but more research is required.Fil: Da Cunha Leme Filho, Jose F.. Virginia Polytechnic Institute; Estados UnidosFil: Ortiz, Brenda V.. Auburn University.; Estados UnidosFil: Damianidis, Damianos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Santa Fe. Estación Experimental Agropecuaria Oliveros; ArgentinaFil: Balkcom, Kipling S.. Usda-soil Dynamics Research; Estados UnidosFil: Dougherty, Mark. Auburn University.; Estados UnidosFil: Poschel, Thorsten. Auburn University.; Estados UnidosCanadian Center of Science and Education2020-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/174513Da Cunha Leme Filho, Jose F.; Ortiz, Brenda V.; Damianidis, Damianos; Balkcom, Kipling S.; Dougherty, Mark; et al.; Irrigation Scheduling to Promote Corn Productivity in Central Alabama; Canadian Center of Science and Education; Journal of Agricultural Science; 12; 9; 8-2020; 34-511916-97521916-9760CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.ccsenet.org/journal/index.php/jas/article/view/0/43447info:eu-repo/semantics/altIdentifier/doi/10.5539/jas.v12n9p34info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:29:08Zoai:ri.conicet.gov.ar:11336/174513instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:29:08.989CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
Irrigation Scheduling to Promote Corn Productivity in Central Alabama |
| title |
Irrigation Scheduling to Promote Corn Productivity in Central Alabama |
| spellingShingle |
Irrigation Scheduling to Promote Corn Productivity in Central Alabama Da Cunha Leme Filho, Jose F. VARIABLE RATE IRRIGATION MAIZE PRECISION AGRICULTURE SOIL MOISTURE SENSOR |
| title_short |
Irrigation Scheduling to Promote Corn Productivity in Central Alabama |
| title_full |
Irrigation Scheduling to Promote Corn Productivity in Central Alabama |
| title_fullStr |
Irrigation Scheduling to Promote Corn Productivity in Central Alabama |
| title_full_unstemmed |
Irrigation Scheduling to Promote Corn Productivity in Central Alabama |
| title_sort |
Irrigation Scheduling to Promote Corn Productivity in Central Alabama |
| dc.creator.none.fl_str_mv |
Da Cunha Leme Filho, Jose F. Ortiz, Brenda V. Damianidis, Damianos Balkcom, Kipling S. Dougherty, Mark Poschel, Thorsten |
| author |
Da Cunha Leme Filho, Jose F. |
| author_facet |
Da Cunha Leme Filho, Jose F. Ortiz, Brenda V. Damianidis, Damianos Balkcom, Kipling S. Dougherty, Mark Poschel, Thorsten |
| author_role |
author |
| author2 |
Ortiz, Brenda V. Damianidis, Damianos Balkcom, Kipling S. Dougherty, Mark Poschel, Thorsten |
| author2_role |
author author author author author |
| dc.subject.none.fl_str_mv |
VARIABLE RATE IRRIGATION MAIZE PRECISION AGRICULTURE SOIL MOISTURE SENSOR |
| topic |
VARIABLE RATE IRRIGATION MAIZE PRECISION AGRICULTURE SOIL MOISTURE SENSOR |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/4.1 https://purl.org/becyt/ford/4 |
| dc.description.none.fl_txt_mv |
Agriculture is the largest consumer of water in the United States. Results from previous studies have shown thatit is possible to substantially reduce irrigation amounts and maintain corn yield. The objectives of this study wereto evaluate the advantages and disadvantages of two irrigation scheduling methods for corn production inAlabama. Two irrigation scheduling methods evaluated were: a) Checkbook, which is one of the conventionalmethods used by farmers that is based on the soil water balance estimated using water lost by evapotranspirationand its replacement through rainfall or irrigation, and b) Sensor-based, which was based on soil matric potentialvalues recorded by soil moisture tension sensors installed in the field. The experimental field was divided intotwo irrigation management zones (zone A and zone B) based on soil properties of each field. During the 2014season in zone A, significant grain yield differences were observed between the two irrigation methods. TheCheckbook plots exhibited greater yield than Sensor-based plots: 10181 kg ha-1 and 9696 kg ha-1, respectively.The greater yield on the Checkbook plots could be associated with higher irrigation rate applied, 148 mm more,compared with the Sensor-based plots. In zone B, there were no significant yield differences between bothirrigation methods; however, Sensor-based plots out yielded Checkbook plots, with 9673 kg ha-1 and 9584 kgha-1, respectively. Even though the irrigation amount applied in Checkbook located in zone B was higher, 102mm more, there were no significant yield differences. Therefore, it suggests that the Sensor-based method waspromissory irrigation scheduling strategy under the conditions of zone B. In 2015, there were no significant grainyield differences between zone A and zone B when the data from the Checkbook plots were analyzed. However,the Sensor-based treatment produced a statistically significant difference of grain yield of 13597 kg ha-1 in zoneA and 11659 kg ha-1 in zone B, also both zones received the same amount of irrigation. Overall results of bothgrowing seasons indicated that the use of the Sensor-based irrigation scheduling treatment resulted in similarvalues of total profit per hectare when compared to Checkbook method. The Sensor-based method seems apromising strategy that could result in water and financial savings, but more research is required. Fil: Da Cunha Leme Filho, Jose F.. Virginia Polytechnic Institute; Estados Unidos Fil: Ortiz, Brenda V.. Auburn University.; Estados Unidos Fil: Damianidis, Damianos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Santa Fe. Estación Experimental Agropecuaria Oliveros; Argentina Fil: Balkcom, Kipling S.. Usda-soil Dynamics Research; Estados Unidos Fil: Dougherty, Mark. Auburn University.; Estados Unidos Fil: Poschel, Thorsten. Auburn University.; Estados Unidos |
| description |
Agriculture is the largest consumer of water in the United States. Results from previous studies have shown thatit is possible to substantially reduce irrigation amounts and maintain corn yield. The objectives of this study wereto evaluate the advantages and disadvantages of two irrigation scheduling methods for corn production inAlabama. Two irrigation scheduling methods evaluated were: a) Checkbook, which is one of the conventionalmethods used by farmers that is based on the soil water balance estimated using water lost by evapotranspirationand its replacement through rainfall or irrigation, and b) Sensor-based, which was based on soil matric potentialvalues recorded by soil moisture tension sensors installed in the field. The experimental field was divided intotwo irrigation management zones (zone A and zone B) based on soil properties of each field. During the 2014season in zone A, significant grain yield differences were observed between the two irrigation methods. TheCheckbook plots exhibited greater yield than Sensor-based plots: 10181 kg ha-1 and 9696 kg ha-1, respectively.The greater yield on the Checkbook plots could be associated with higher irrigation rate applied, 148 mm more,compared with the Sensor-based plots. In zone B, there were no significant yield differences between bothirrigation methods; however, Sensor-based plots out yielded Checkbook plots, with 9673 kg ha-1 and 9584 kgha-1, respectively. Even though the irrigation amount applied in Checkbook located in zone B was higher, 102mm more, there were no significant yield differences. Therefore, it suggests that the Sensor-based method waspromissory irrigation scheduling strategy under the conditions of zone B. In 2015, there were no significant grainyield differences between zone A and zone B when the data from the Checkbook plots were analyzed. However,the Sensor-based treatment produced a statistically significant difference of grain yield of 13597 kg ha-1 in zoneA and 11659 kg ha-1 in zone B, also both zones received the same amount of irrigation. Overall results of bothgrowing seasons indicated that the use of the Sensor-based irrigation scheduling treatment resulted in similarvalues of total profit per hectare when compared to Checkbook method. The Sensor-based method seems apromising strategy that could result in water and financial savings, but more research is required. |
| publishDate |
2020 |
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2020-08 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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publishedVersion |
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http://hdl.handle.net/11336/174513 Da Cunha Leme Filho, Jose F.; Ortiz, Brenda V.; Damianidis, Damianos; Balkcom, Kipling S.; Dougherty, Mark; et al.; Irrigation Scheduling to Promote Corn Productivity in Central Alabama; Canadian Center of Science and Education; Journal of Agricultural Science; 12; 9; 8-2020; 34-51 1916-9752 1916-9760 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/174513 |
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Da Cunha Leme Filho, Jose F.; Ortiz, Brenda V.; Damianidis, Damianos; Balkcom, Kipling S.; Dougherty, Mark; et al.; Irrigation Scheduling to Promote Corn Productivity in Central Alabama; Canadian Center of Science and Education; Journal of Agricultural Science; 12; 9; 8-2020; 34-51 1916-9752 1916-9760 CONICET Digital CONICET |
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eng |
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eng |
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Canadian Center of Science and Education |
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Canadian Center of Science and Education |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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