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dc.contributor.author
Da Cunha Leme Filho, Jose F.
dc.contributor.author
Ortiz, Brenda V.
dc.contributor.author
Damianidis, Damianos

dc.contributor.author
Balkcom, Kipling S.
dc.contributor.author
Dougherty, Mark
dc.contributor.author
Poschel, Thorsten

dc.date.available
2022-10-24T12:57:31Z
dc.date.issued
2020-08
dc.identifier.citation
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
dc.identifier.issn
1916-9752
dc.identifier.uri
http://hdl.handle.net/11336/174513
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Canadian Center of Science and Education
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
VARIABLE RATE IRRIGATION
dc.subject
MAIZE
dc.subject
PRECISION AGRICULTURE
dc.subject
SOIL MOISTURE SENSOR
dc.subject.classification
Agricultura

dc.subject.classification
Agricultura, Silvicultura y Pesca

dc.subject.classification
CIENCIAS AGRÍCOLAS

dc.title
Irrigation Scheduling to Promote Corn Productivity in Central Alabama
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-09-22T15:07:45Z
dc.identifier.eissn
1916-9760
dc.journal.volume
12
dc.journal.number
9
dc.journal.pagination
34-51
dc.journal.pais
Canadá

dc.journal.ciudad
Toronto
dc.description.fil
Fil: Da Cunha Leme Filho, Jose F.. Virginia Polytechnic Institute; Estados Unidos
dc.description.fil
Fil: Ortiz, Brenda V.. Auburn University.; Estados Unidos
dc.description.fil
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
dc.description.fil
Fil: Balkcom, Kipling S.. Usda-soil Dynamics Research; Estados Unidos
dc.description.fil
Fil: Dougherty, Mark. Auburn University.; Estados Unidos
dc.description.fil
Fil: Poschel, Thorsten. Auburn University.; Estados Unidos
dc.journal.title
Journal of Agricultural Science

dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.ccsenet.org/journal/index.php/jas/article/view/0/43447
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.5539/jas.v12n9p34
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