Adel M. Elprince
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Research Interests
Adel M. Elprince has a total of 22 co-authors. Here are the top co-authors by number of shared publications:
Garrison Sposito
2 shared publicationsA. K. Helmy
Universidad Nacional del Sur. 8000 Bahia Blanca, Argentina
1 shared publicationA. M. Magboul
1 shared publicationA. M. Turjoman
1 shared publicationA. P. Vanselow
1 shared publicationA. S. Mashhady
1 shared publication
Latest Publications
- 1 September 2015
- Published by Wiley in Soil Science Society of America Journal
- Vol. 79 (5) , 1319-1328
Observed-Predicted Shifts in Thermodynamic Functions of Water Adsorption by Smectite at Nanoscale
- 1 September 2015
- Published by Wiley in Soil Science Society of America Journal
- Vol. 79 (5) , 1319-1328
Observed-Predicted Shifts in Thermodynamic Functions of Water Adsorption by Smectite at Nanoscale
- 6 December 2012
- Published by Springer Nature
- p. 183-197
Spatial Analysis Using a Proportional Effect Semivariogram Model
- 6 December 2012
- Published by Springer Nature
- p. 183-197
Spatial Analysis Using a Proportional Effect Semivariogram Model
- 1 May 2011
- Published by Wiley in Soil Science Society of America Journal
- Vol. 75 (3) , 1177
Prediction Soil Fertilization Maps Using Logistic Modeling and a Geographical Information System
- 1 May 2011
- Published by Wiley in Soil Science Society of America Journal
- Vol. 75 (3) , 1177
Prediction Soil Fertilization Maps Using Logistic Modeling and a Geographical Information System
- 1 January 2010
- Published by Wiley in Soil Science Society of America Journal
- Vol. 74 (1) , 343
Prediction Soil Fertilization Maps Using Logistic Modeling and a Geographical Information System
- 1 January 2010
- Published by Wiley in Soil Science Society of America Journal
- Vol. 74 (1) , 343
Prediction Soil Fertilization Maps Using Logistic Modeling and a Geographical Information System
- 1 November 2009
- Published by Wiley in Soil Science Society of America Journal
- Vol. 73 (6) , 2032-2042
Prediction Soil Fertilization Maps Using Logistic Modeling and a Geographical Information System
Multivariable fertilizer recommendation (MVFR) models allowed for variable rate fertilizer applications and precision agriculture. The objectives of this study were (i) to use binary logistic modeling to assess the importance of site variables in farms' decisions for implementing optimal N and K fertilization, and (ii) to combine multivariable logistic models in a geographic information system for the prediction of N and K fertilization class maps. These were based on experimental optimal N and K fertilization data at 67 sites and survey data for 22 site variables in an arid date palm ( Phoenix dactylifera L.) region (20,000 ha). Only nine of the 22 site variables were found to be statistically significant in influencing the probability of N and K responses: surface Fe, Mn, and Cu; profile residual NO 3 –N; surface organic matter (OM), sand, and clay; surface extract soil salinity (EC es ), and quantity of irrigation water ( Q iw ). The probability of response ( Y = 1 means success and Y = 0 indicates failure) to the levels of minor, major, and excessive N application were expressed by the logistic models: logit[Pr( Y = 1|N = 0.25,0.5,1|X)] = 0.574 − 0.015 Q iw + 0.768EC es + 0.455Fe − 1.336 Cu, logit[Pr( Y = 1|N = 0.5,1|X)] = 3.274 − 0.011 Q iw − 0.307Mn, and logit[Pr( Y = 1|N = 1| X )] = 4.394 + 1.463EC es − 0.826NO 3 –N, respectively. The corresponding models for K were: logit[Pr( Y = 1|K = 0.25,0.5,1|X)] = 4.424 − 0.104OM − 0.108NO 3 –N, logit[Pr( Y = 1|K = 0.5,1|X)] = −1.189 + 0.015 Q iw , and logit[Pr( Y = 1|K = 1|X)] = 37.582 − 0.560Mn − 0.036Sand − 0.046Clay. These logistic models were cross‐validated and combined in a geographic information system to derive N and K fertilization class maps using kriged‐interpolated data sets of the significant site variables. Logistic modeling could utilize low‐cost data for MVFR model calibration and validation and the production of soil fertilization maps with larger scales.
- 1 November 2009
- Published by Wiley in Soil Science Society of America Journal
- Vol. 73 (6) , 2032-2042
Prediction Soil Fertilization Maps Using Logistic Modeling and a Geographical Information System
Multivariable fertilizer recommendation (MVFR) models allowed for variable rate fertilizer applications and precision agriculture. The objectives of this study were (i) to use binary logistic modeling to assess the importance of site variables in farms' decisions for implementing optimal N and K fertilization, and (ii) to combine multivariable logistic models in a geographic information system for the prediction of N and K fertilization class maps. These were based on experimental optimal N and K fertilization data at 67 sites and survey data for 22 site variables in an arid date palm ( Phoenix dactylifera L.) region (20,000 ha). Only nine of the 22 site variables were found to be statistically significant in influencing the probability of N and K responses: surface Fe, Mn, and Cu; profile residual NO 3 –N; surface organic matter (OM), sand, and clay; surface extract soil salinity (EC es ), and quantity of irrigation water ( Q iw ). The probability of response ( Y = 1 means success and Y = 0 indicates failure) to the levels of minor, major, and excessive N application were expressed by the logistic models: logit[Pr( Y = 1|N = 0.25,0.5,1|X)] = 0.574 − 0.015 Q iw + 0.768EC es + 0.455Fe − 1.336 Cu, logit[Pr( Y = 1|N = 0.5,1|X)] = 3.274 − 0.011 Q iw − 0.307Mn, and logit[Pr( Y = 1|N = 1| X )] = 4.394 + 1.463EC es − 0.826NO 3 –N, respectively. The corresponding models for K were: logit[Pr( Y = 1|K = 0.25,0.5,1|X)] = 4.424 − 0.104OM − 0.108NO 3 –N, logit[Pr( Y = 1|K = 0.5,1|X)] = −1.189 + 0.015 Q iw , and logit[Pr( Y = 1|K = 1|X)] = 37.582 − 0.560Mn − 0.036Sand − 0.046Clay. These logistic models were cross‐validated and combined in a geographic information system to derive N and K fertilization class maps using kriged‐interpolated data sets of the significant site variables. Logistic modeling could utilize low‐cost data for MVFR model calibration and validation and the production of soil fertilization maps with larger scales.
- 1 January 2008
- Published by Wiley in Soil Science Society of America Journal
- Vol. 72 (1) , 83-89
Kinetics of Nonenzymatic Decomposition of Hydrogen Peroxide by Torrifluvents
Peroxide application has been proposed as a method to control soil aeration. The objectives of this study were to formulate the rate law, identify the inorganic catalyst, identify preferred active centers, and hypothesize a mechanism for the H 2 O 2 decomposition reaction in Torrifluvents. The rate of decomposition of H 2 O 2 (aq) by Torrifluvents (10 locations in the Nile Delta) and synthetic Mn oxides was determined by measuring with a gas burette the volume of O 2 (g) given off. Heat pretreatment showed that the catalytic activity of the air‐dried soil is essentially nonenzymatic on the time scale of the reaction. Pretreatment of the soil samples by NH 2 OH–HCl (pH 2), designed for selectively dissolving MnO 2 (s), completely deactivated their catalytic capacity. The pseudo‐first‐order rate coefficient, k *, for Torrifluvents was expressed by the equation: k * = k o [MnO 2 (s)](10 −pH/4 ), where k o is a constant. Contrary to cryptomelane and pyrolusite, values of k * for birnessite satisfied the above equation, indicating that pedogenic birnessite was the active catalyst in Torrifluvents. Diethylenetriamine pentaacetic acid (DTPA) was found to be a more effective inhibitor than ethylenediamine tetraacetic acid (EDTA). A high value of the activation energy ( E ) was connected with a high value of the pre‐exponential factor ( A ) of the Arrhenius equation. It was suggested that the birnessite surface has two kinds of active centers: Mn III /Mn II and Mn IV /Mn III While the former is less numerous (ln A = 37 ± 4) with low activation energy ( E = 75 ± 4 kJ mol −1 ), the latter is numerous (ln A = 62 ± 3) and of high activation energy ( E = 144 ± 17 kJ mol −1 ). The Habes and Weiss mechanism explained the experimental results obtained.
- 1 January 2008
- Published by Wiley in Soil Science Society of America Journal
- Vol. 72 (1) , 83-89
Kinetics of Nonenzymatic Decomposition of Hydrogen Peroxide by Torrifluvents
Peroxide application has been proposed as a method to control soil aeration. The objectives of this study were to formulate the rate law, identify the inorganic catalyst, identify preferred active centers, and hypothesize a mechanism for the H 2 O 2 decomposition reaction in Torrifluvents. The rate of decomposition of H 2 O 2 (aq) by Torrifluvents (10 locations in the Nile Delta) and synthetic Mn oxides was determined by measuring with a gas burette the volume of O 2 (g) given off. Heat pretreatment showed that the catalytic activity of the air‐dried soil is essentially nonenzymatic on the time scale of the reaction. Pretreatment of the soil samples by NH 2 OH–HCl (pH 2), designed for selectively dissolving MnO 2 (s), completely deactivated their catalytic capacity. The pseudo‐first‐order rate coefficient, k *, for Torrifluvents was expressed by the equation: k * = k o [MnO 2 (s)](10 −pH/4 ), where k o is a constant. Contrary to cryptomelane and pyrolusite, values of k * for birnessite satisfied the above equation, indicating that pedogenic birnessite was the active catalyst in Torrifluvents. Diethylenetriamine pentaacetic acid (DTPA) was found to be a more effective inhibitor than ethylenediamine tetraacetic acid (EDTA). A high value of the activation energy ( E ) was connected with a high value of the pre‐exponential factor ( A ) of the Arrhenius equation. It was suggested that the birnessite surface has two kinds of active centers: Mn III /Mn II and Mn IV /Mn III While the former is less numerous (ln A = 37 ± 4) with low activation energy ( E = 75 ± 4 kJ mol −1 ), the latter is numerous (ln A = 62 ± 3) and of high activation energy ( E = 144 ± 17 kJ mol −1 ). The Habes and Weiss mechanism explained the experimental results obtained.
- 1 March 2000
- Published by Wiley in Agronomy Journal
- Vol. 92 (2) , 336-345
Critical Phosphorus Levels for Salicornia Growth
Basic information is needed to estimate P status of Salicornia bigelovii Torr. with increased precision if progress is to be made in adapting this halophyte as a conventional oilseed crop for direct seawater irrigation in coastal areas of arid regions. The P nutrition of salicornia was studied by using the nutrient solution technique in the greenhouse. The culture solutions were seawater, enriched to 1/2‐strength modified Hoagland's solution [pH = 6.2 ± 0.2; electrical conductivity (EC) = 54 ± 2 dSm−1], and P treatments ranging from 0 to adequate amounts of P for full growth. All stages of deficiency symptoms were observed at harvest, ranging from stunted growth, necroses, purplish coloration, chlorosis, and dark bluish‐green coloration to no symptoms. Dry and fresh weight of the tops were plotted against soluble P and total P values to give plant nutrient calibration curves that were fitted to the composite growth model by the least squares procedure. On the basis of the curve sharpness coefficient and range parameter output values and ease of sampling, semiwoody internodes, matured internodes and soluble P concentration were selected from the five plant parts sampled and the two forms of P determined as the best combination to diagnose the P status of Salicornia. About 480 mg kg−1 of soluble P in semiwoody internode tissue was tentatively set as the critical concentration for growth of the salicornia. The corresponding value for total P was set at 780 mg kg−1
- 1 March 2000
- Published by Wiley in Agronomy Journal
- Vol. 92 (2) , 336-345
Critical Phosphorus Levels for Salicornia Growth
Basic information is needed to estimate P status of Salicornia bigelovii Torr. with increased precision if progress is to be made in adapting this halophyte as a conventional oilseed crop for direct seawater irrigation in coastal areas of arid regions. The P nutrition of salicornia was studied by using the nutrient solution technique in the greenhouse. The culture solutions were seawater, enriched to 1/2‐strength modified Hoagland's solution [pH = 6.2 ± 0.2; electrical conductivity (EC) = 54 ± 2 dSm−1], and P treatments ranging from 0 to adequate amounts of P for full growth. All stages of deficiency symptoms were observed at harvest, ranging from stunted growth, necroses, purplish coloration, chlorosis, and dark bluish‐green coloration to no symptoms. Dry and fresh weight of the tops were plotted against soluble P and total P values to give plant nutrient calibration curves that were fitted to the composite growth model by the least squares procedure. On the basis of the curve sharpness coefficient and range parameter output values and ease of sampling, semiwoody internodes, matured internodes and soluble P concentration were selected from the five plant parts sampled and the two forms of P determined as the best combination to diagnose the P status of Salicornia. About 480 mg kg−1 of soluble P in semiwoody internode tissue was tentatively set as the critical concentration for growth of the salicornia. The corresponding value for total P was set at 780 mg kg−1
- 1 January 2000
- Published by Springer Nature in Agronomy Journal
- Vol. 92 (2) , 336-345
Critical Phosphorus Levels for Salicornia Growth
- 1 January 2000
- Published by Springer Nature in Agronomy Journal
- Vol. 92 (2) , 336-345
Critical Phosphorus Levels for Salicornia Growth
- 1 November 1992
- Published by Wiley in Soil Science Society of America Journal
- Vol. 56 (6) , 1784-1788
Catalytic Decomposition Kinetics of Aqueous Hydrogen Peroxide and Solid Magnesium Peroxide By Birnessite
Peroxides are used as O 2 ‐generating agents. The decomposition of H 2 O 2 (aq) or MgO 2 (s) in the presence of synthetic birnessite [δ‐MnO 2 (s)] as a catalyst was observed by measuring the volume of O 2 (g) given off. The experimental data fit a first‐order kinetic law and the mechanism proposed by Habes and Weiss can explain the experimental results obtained for the decomposition of H 2 O 2 (aq). The applicability of the proposed mechanism involving H 2 O 2 (aq) was based on the following: (i) the activation energy was relatively high (82 ± 3 kJ mol −1 ); (ii) the rate constant ( k ) was pH dependent, indicating that H + and OH ‐ ions were formed in the process; (iii) a linear relationship (and not logarithmic) between k and the ionic strength indicated a reaction between an ion and a neutral molecule; and (iv) using birnessite with different fractional coverages of Co indicated that the reaction was heterogeneously catalyzed by Mn z+1 /Mn z active centers. Regarding MgO 2 (s) decomposition, the experimental data obtained at pH 7.6 followed a rate law derived from a shrinking‐core model for fixed‐size particles. The rate of the reaction was controlled by diffusion through the Mg(OH) 2 (s) product layer rather than by chemical reaction at the core surface. Compared with ionic peroxides, MgO 2 (s) could be a potential O 2 ‐generating agent for generating O 2 (g) during a relatively long period of time.
- 1 November 1992
- Published by Wiley in Soil Science Society of America Journal
- Vol. 56 (6) , 1784-1788
Catalytic Decomposition Kinetics of Aqueous Hydrogen Peroxide and Solid Magnesium Peroxide By Birnessite
Peroxides are used as O 2 ‐generating agents. The decomposition of H 2 O 2 (aq) or MgO 2 (s) in the presence of synthetic birnessite [δ‐MnO 2 (s)] as a catalyst was observed by measuring the volume of O 2 (g) given off. The experimental data fit a first‐order kinetic law and the mechanism proposed by Habes and Weiss can explain the experimental results obtained for the decomposition of H 2 O 2 (aq). The applicability of the proposed mechanism involving H 2 O 2 (aq) was based on the following: (i) the activation energy was relatively high (82 ± 3 kJ mol −1 ); (ii) the rate constant ( k ) was pH dependent, indicating that H + and OH ‐ ions were formed in the process; (iii) a linear relationship (and not logarithmic) between k and the ionic strength indicated a reaction between an ion and a neutral molecule; and (iv) using birnessite with different fractional coverages of Co indicated that the reaction was heterogeneously catalyzed by Mn z+1 /Mn z active centers. Regarding MgO 2 (s) decomposition, the experimental data obtained at pH 7.6 followed a rate law derived from a shrinking‐core model for fixed‐size particles. The rate of the reaction was controlled by diffusion through the Mg(OH) 2 (s) product layer rather than by chemical reaction at the core surface. Compared with ionic peroxides, MgO 2 (s) could be a potential O 2 ‐generating agent for generating O 2 (g) during a relatively long period of time.