Persistent Link:
http://hdl.handle.net/10150/191708
Title:
Prediction of forage yield from simulated soil moisture deficits
Author:
Blake, Steven Bruce.
Issue Date:
1980
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
A simplified soil moisture budgeting model was developed. The sensitivity of the soil moisture budgeting model to the method used for the calculation of potential evapotranspiration (PET), actual evapotranspiration (AET), and soil moisture movement was evaluated. Using the soil moisture budgeting model as a basis, a forage yield prediction model was also developed. Four methods for quantifying plant water stress were used to determine soil moisture deficit factors for critical growth periods. Stepwise multiple regressions were used to produce prediction equations from these factors. Data for calibration and validation of the models were obtained from the Santa Rita Experimental Range in southeastern Arizona. The PET method employed had a negligible effect, however, the AET method selected was important to soil moisture estimation, with the more complex methods giving the most accurate results. The soil moisture budgeting inodel explained 85 percent (r=0.92) of the variation in observed values over the period of calibration and 64 percent (r=0.80) of the variation in observed values over the period of validation. The forage prediction model explained 85 percent (r=.92) of the variation in average perennial grass production over the period of calibration, but produced essentially no correlation over the period of validation.
Type:
Thesis-Reproduction (electronic); text
LCSH Subjects:
Hydrology.; Soil moisture -- Southwest, New -- Mathematical models.; Evapotranspiration -- Southwest, New -- Mathematical models.; Forage plants -- Water requirements.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Renewable Natural Resources; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Fogel, Martin M.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titlePrediction of forage yield from simulated soil moisture deficitsen_US
dc.creatorBlake, Steven Bruce.en_US
dc.contributor.authorBlake, Steven Bruce.en_US
dc.date.issued1980en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractA simplified soil moisture budgeting model was developed. The sensitivity of the soil moisture budgeting model to the method used for the calculation of potential evapotranspiration (PET), actual evapotranspiration (AET), and soil moisture movement was evaluated. Using the soil moisture budgeting model as a basis, a forage yield prediction model was also developed. Four methods for quantifying plant water stress were used to determine soil moisture deficit factors for critical growth periods. Stepwise multiple regressions were used to produce prediction equations from these factors. Data for calibration and validation of the models were obtained from the Santa Rita Experimental Range in southeastern Arizona. The PET method employed had a negligible effect, however, the AET method selected was important to soil moisture estimation, with the more complex methods giving the most accurate results. The soil moisture budgeting inodel explained 85 percent (r=0.92) of the variation in observed values over the period of calibration and 64 percent (r=0.80) of the variation in observed values over the period of validation. The forage prediction model explained 85 percent (r=.92) of the variation in average perennial grass production over the period of calibration, but produced essentially no correlation over the period of validation.en_US
dc.description.notehydrology collectionen_US
dc.typeThesis-Reproduction (electronic)en_US
dc.typetexten_US
dc.subject.lcshHydrology.en_US
dc.subject.lcshSoil moisture -- Southwest, New -- Mathematical models.en_US
dc.subject.lcshEvapotranspiration -- Southwest, New -- Mathematical models.en_US
dc.subject.lcshForage plants -- Water requirements.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineRenewable Natural Resourcesen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.chairFogel, Martin M.en_US
dc.contributor.committeememberEvans, Daniel D.en_US
dc.contributor.committeememberHekman, Jr., Louis H.en_US
dc.identifier.oclc212908846en_US
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