Phosphorus dynamics and phosphatase activity of soils under corn production with supplemental irrigation in humid coastal plain region, USA

2017 ◽  
Vol 109 (3) ◽  
pp. 249-267 ◽  
Author(s):  
Gilbert C. Sigua ◽  
Kenneth C. Stone ◽  
Philip J. Bauer ◽  
Ariel A. Szogi
Keyword(s):  
Phosphatase Activity ◽  
Coastal Plain ◽  
Corn Production ◽  
Supplemental Irrigation ◽  
Phosphorus Dynamics ◽  
Plain Region

Evaluating Nitrogen Management for Corn Production with Supplemental Irrigation on Sandy Soils of the Southeastern Coastal Plain Region of the U.S.

2020 ◽  
Vol 63 (3) ◽  
pp. 731-740
Author(s):  
Dagbegnon Clement Sohoulande Djebou ◽  
Liwang Ma ◽  
Ariel A. Szogi ◽  
Gilbert C. Sigua ◽  
Kenneth C. Stone ◽  
...  
Keyword(s):  
Coastal Plain ◽  
Soil Variability ◽  
N Leaching ◽  
Corn Yield ◽  
Soil Series ◽  
Field Scale ◽  
Corn Production ◽  
N Application ◽  
Supplemental Irrigation ◽  
N Management

Highlights This study addressed the inclusion of field-scale soil variability in nitrogen (N) management for corn production. RZWQM2 was calibrated for corn yield and N dynamics on four sandy soil series under supplemental irrigation. Multi-year simulations of corn production under high and low N application rates were analyzed. Results showed room to reduce N use and N leaching without affecting corn production on Coastal Plain sandy soils. Abstract. Nitrogen (N) fertilization contributes significantly to maintain high yields in corn (Zea mays L.) production. In the Southeastern Coastal Plain of the U.S. where soils are sandy with poor water and nutrient holding capacity, a fraction of the N applied to corn fields is often leached from the root zone and becomes unavailable to plants. As these soils belong to various taxonomic classes, research has shown significant corn yield differences among soil series. However, few studies have focused on integrating field-scale soil variability, N leaching, and corn production. To address this knowledge gap, this study used the Root Zone Water Quality Model (RZWQM2) to simulate different N management scenarios in corn production for four sandy soil series under supplemental irrigation. The calibrated model was used to simulate nine consecutive years of corn production under four N management scenarios, including two high rates of N application (rate A = 224 kg N ha-1 with 25 kg N ha-1 at preplant; rate A' = 224 kg N ha-1 without preplant N), and two low rates of N application (rate B = 157 kg N ha-1 with 25 kg N ha-1 at preplant; rate B' = 157 kg N ha-1 without preplant N). Simulation results showed that without preplant N application, N leaching was reduced by up to 17% with no significant impact on corn yield, depending on the soil series. Hence, consideration of field-scale soil variability could help improve N management by reducing N use and N leaching without impacting corn production. Keywords: Corn yield components, Growing season, Modeling, Nitrogen dynamics, RZWQM2, Soil variability.

Evaluating Nitrogen Management for Corn Production with Supplemental Irrigation on Sandy Soils of the Southeastern Coastal Plain Region of the U.S.

2020 ◽  
Vol 63 (3) ◽  
pp. 731-740
Author(s):  
Dagbegnon Clement Sohoulande Djebou ◽  
Liwang Ma ◽  
Ariel A. Szogi ◽  
Gilbert C. Sigua ◽  
Kenneth C. Stone ◽  
...  
Keyword(s):  
Coastal Plain ◽  
Soil Variability ◽  
N Leaching ◽  
Corn Yield ◽  
Soil Series ◽  
Field Scale ◽  
Corn Production ◽  
N Application ◽  
Supplemental Irrigation ◽  
N Management

Highlights This study addressed the inclusion of field-scale soil variability in nitrogen (N) management for corn production. RZWQM2 was calibrated for corn yield and N dynamics on four sandy soil series under supplemental irrigation. Multi-year simulations of corn production under high and low N application rates were analyzed. Results showed room to reduce N use and N leaching without affecting corn production on Coastal Plain sandy soils. Abstract. Nitrogen (N) fertilization contributes significantly to maintain high yields in corn (Zea mays L.) production. In the Southeastern Coastal Plain of the U.S. where soils are sandy with poor water and nutrient holding capacity, a fraction of the N applied to corn fields is often leached from the root zone and becomes unavailable to plants. As these soils belong to various taxonomic classes, research has shown significant corn yield differences among soil series. However, few studies have focused on integrating field-scale soil variability, N leaching, and corn production. To address this knowledge gap, this study used the Root Zone Water Quality Model (RZWQM2) to simulate different N management scenarios in corn production for four sandy soil series under supplemental irrigation. The calibrated model was used to simulate nine consecutive years of corn production under four N management scenarios, including two high rates of N application (rate A = 224 kg N ha-1 with 25 kg N ha-1 at preplant; rate A' = 224 kg N ha-1 without preplant N), and two low rates of N application (rate B = 157 kg N ha-1 with 25 kg N ha-1 at preplant; rate B' = 157 kg N ha-1 without preplant N). Simulation results showed that without preplant N application, N leaching was reduced by up to 17% with no significant impact on corn yield, depending on the soil series. Hence, consideration of field-scale soil variability could help improve N management by reducing N use and N leaching without impacting corn production. Keywords: Corn yield components, Growing season, Modeling, Nitrogen dynamics, RZWQM2, Soil variability.

Evaluating Nitrogen Management for Corn Production with Supplemental Irrigation on Sandy Soils of the Southeastern Coastal Plain Region of the U.S.

2020 ◽  
Vol 63 (3) ◽  
pp. 731-740
Author(s):  
Dagbegnon Clement Sohoulande Djebou ◽  
Liwang Ma ◽  
Ariel A. Szogi ◽  
Gilbert C. Sigua ◽  
Kenneth C. Stone ◽  
...  
Keyword(s):  
Coastal Plain ◽  
Soil Variability ◽  
N Leaching ◽  
Corn Yield ◽  
Soil Series ◽  
Field Scale ◽  
Corn Production ◽  
N Application ◽  
Supplemental Irrigation ◽  
N Management

Highlights This study addressed the inclusion of field-scale soil variability in nitrogen (N) management for corn production. RZWQM2 was calibrated for corn yield and N dynamics on four sandy soil series under supplemental irrigation. Multi-year simulations of corn production under high and low N application rates were analyzed. Results showed room to reduce N use and N leaching without affecting corn production on Coastal Plain sandy soils. Abstract. Nitrogen (N) fertilization contributes significantly to maintain high yields in corn (Zea mays L.) production. In the Southeastern Coastal Plain of the U.S. where soils are sandy with poor water and nutrient holding capacity, a fraction of the N applied to corn fields is often leached from the root zone and becomes unavailable to plants. As these soils belong to various taxonomic classes, research has shown significant corn yield differences among soil series. However, few studies have focused on integrating field-scale soil variability, N leaching, and corn production. To address this knowledge gap, this study used the Root Zone Water Quality Model (RZWQM2) to simulate different N management scenarios in corn production for four sandy soil series under supplemental irrigation. The calibrated model was used to simulate nine consecutive years of corn production under four N management scenarios, including two high rates of N application (rate A = 224 kg N ha-1 with 25 kg N ha-1 at preplant; rate A' = 224 kg N ha-1 without preplant N), and two low rates of N application (rate B = 157 kg N ha-1 with 25 kg N ha-1 at preplant; rate B' = 157 kg N ha-1 without preplant N). Simulation results showed that without preplant N application, N leaching was reduced by up to 17% with no significant impact on corn yield, depending on the soil series. Hence, consideration of field-scale soil variability could help improve N management by reducing N use and N leaching without impacting corn production. Keywords: Corn yield components, Growing season, Modeling, Nitrogen dynamics, RZWQM2, Soil variability.

scholarly journals Benefits and Costs of Forestry Best Management Practices in Virginia

1996 ◽  
Vol 20 (1) ◽  
pp. 23-29 ◽  
Author(s):  
W. M. Aust ◽  
R. M. Shaffer ◽  
J. A. Burger
Keyword(s):  
Water Quality ◽  
Coastal Plain ◽  
Best Management Practices ◽  
Management Practices ◽  
Erosion Rates ◽  
Best Management ◽  
Water Quality Protection ◽  
Program Compliance ◽  
Plain Region ◽  
Benefits And Costs

Abstract Benefits and costs of Virginia's forestry best management practices (BMPs) were estimated for the Mountains, Piedmont, and Coastal Plain regions using three actual nonregulatory phases and one theoretical regulatory phase of forest water quality protection. The four phases ranged from passive, nonregulatory to regulatory BMPs with increasingly restrictive provisions. As the level of regulation increased, the benefit:cost ratio decreased, indicating that costs were accruing at a proportionately greater rate than benefits. This pattern was most pronounced in the Coastal Plain region where average erosion rates were low, and substantial acreages were harvested. Results suggested that an aggressive, nonregulatory BMP program is the most efficient approach to forest water quality protection assuming that overall program compliance levels are sufficient to satisfy society's needs. South. J. Appl. For 20(1):23-29.

Optimal Levels of Irrigation in Corn Production in the Southeast Coastal Plain

2004 ◽  
Vol 24 (1) ◽  
pp. 95-106 ◽  
Author(s):  
Yao-Chi Lu ◽  
E. John Sadler ◽  
Carl R. Camp
Keyword(s):  
Coastal Plain ◽  
Corn Production
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