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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/174513

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network_name_str CONICET Digital (CONICET)
spelling 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
dc.date.none.fl_str_mv 2020-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv 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
identifier_str_mv 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
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.ccsenet.org/journal/index.php/jas/article/view/0/43447
info:eu-repo/semantics/altIdentifier/doi/10.5539/jas.v12n9p34
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Canadian Center of Science and Education
publisher.none.fl_str_mv Canadian Center of Science and Education
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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