Nitrogen Leaching and Denitrification in Continuous Corn as Related to Residue Management and Nitrogen Fertilization
Abstract Maintaining crop production levels with reductions in terrestrial greenhouse gases requires strategic residue and nitrogen (N) fertilizer management. Our objectives were to: (1) quantify the effect of nitrogen N application rate on N losses; (2) examine the role of residue returned on N tra...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Gollany, Hero T. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2004 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag New York, Inc. 2004 |
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| Übergeordnetes Werk: |
Enthalten in: Environmental management - New York, NY : Springer, 1976, 33(2004), Suppl 1 vom: 20. Jan., Seite S289-S298 |
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| Übergeordnetes Werk: |
volume:33 ; year:2004 ; number:Suppl 1 ; day:20 ; month:01 ; pages:S289-S298 |
| Links: |
|---|
| DOI / URN: |
10.1007/s00267-003-9138-x |
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| Katalog-ID: |
SPR003362817 |
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| 100 | 1 | |a Gollany, Hero T. |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Nitrogen Leaching and Denitrification in Continuous Corn as Related to Residue Management and Nitrogen Fertilization |
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| 520 | |a Abstract Maintaining crop production levels with reductions in terrestrial greenhouse gases requires strategic residue and nitrogen (N) fertilizer management. Our objectives were to: (1) quantify the effect of nitrogen N application rate on N losses; (2) examine the role of residue returned on N transformation and losses; and (3) verify the capability of the NCSWAP/NCSOIL model to simulate the dynamics of N and 15N in the soil–plant system. Data obtained from a long-term continuous corn study on a silt loam soil, with two N levels (20 and 200 kg N/ha), with two types of residue management (residue harvested, −R; and residue returned, +R) was used to calibrate the model. The model accurately predicted 15N in the plant and soil organic matter (SOM) at the 0- to 15-cm and 15- to 30-cm depths for both fertilizer rates and residue managements. Concentrations of 15N in the corn and SOM were higher for the 20 than 200 kg N/ha treatments. Greater dilution of the 15N with nontracer fertilizer added at the higher fertilizer rate was responsible for differences in 15N concentrations in the plant. The predicted cumulative N loss during a 30-year simulation indicates more nitrate leaching past the 1-m depth for −R than +R treatments, while higher denitrification rates were predicted for the +R than −R. The simulated cumulative effect of residue returned on denitrification over 30 years predicted increased cumulative N losses from 1320 to 1705 kg N/ha and 1333 to 2574 kg N/ha for the low and high N application rates, respectively. Better synchronization of N release from residue and addition of N fertilizer with plant-N uptake would minimize leaching and denitrification. | ||
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| 650 | 4 | |a NCSWAP simulation |7 (dpeaa)DE-He213 | |
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| 700 | 1 | |a Molina, Jean-Alex E. |4 aut | |
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| 700 | 1 | |a Allmaras, Raymond R. |4 aut | |
| 700 | 1 | |a Layese, Milegua F. |4 aut | |
| 700 | 1 | |a Baker, John M. |4 aut | |
| 700 | 1 | |a Cheng, H. H. |4 aut | |
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10.1007/s00267-003-9138-x doi (DE-627)SPR003362817 (SPR)s00267-003-9138-x-e DE-627 ger DE-627 rakwb eng Gollany, Hero T. verfasserin aut Nitrogen Leaching and Denitrification in Continuous Corn as Related to Residue Management and Nitrogen Fertilization 2004 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag New York, Inc. 2004 Abstract Maintaining crop production levels with reductions in terrestrial greenhouse gases requires strategic residue and nitrogen (N) fertilizer management. Our objectives were to: (1) quantify the effect of nitrogen N application rate on N losses; (2) examine the role of residue returned on N transformation and losses; and (3) verify the capability of the NCSWAP/NCSOIL model to simulate the dynamics of N and 15N in the soil–plant system. Data obtained from a long-term continuous corn study on a silt loam soil, with two N levels (20 and 200 kg N/ha), with two types of residue management (residue harvested, −R; and residue returned, +R) was used to calibrate the model. The model accurately predicted 15N in the plant and soil organic matter (SOM) at the 0- to 15-cm and 15- to 30-cm depths for both fertilizer rates and residue managements. Concentrations of 15N in the corn and SOM were higher for the 20 than 200 kg N/ha treatments. Greater dilution of the 15N with nontracer fertilizer added at the higher fertilizer rate was responsible for differences in 15N concentrations in the plant. The predicted cumulative N loss during a 30-year simulation indicates more nitrate leaching past the 1-m depth for −R than +R treatments, while higher denitrification rates were predicted for the +R than −R. The simulated cumulative effect of residue returned on denitrification over 30 years predicted increased cumulative N losses from 1320 to 1705 kg N/ha and 1333 to 2574 kg N/ha for the low and high N application rates, respectively. Better synchronization of N release from residue and addition of N fertilizer with plant-N uptake would minimize leaching and denitrification. Soil organic matter (dpeaa)DE-He213 nitrate leaching (dpeaa)DE-He213 N (dpeaa)DE-He213 tracer N uptake (dpeaa)DE-He213 Biomass (dpeaa)DE-He213 NCSWAP simulation (dpeaa)DE-He213 denitrification (dpeaa)DE-He213 Molina, Jean-Alex E. aut Clapp, C. Edward aut Allmaras, Raymond R. aut Layese, Milegua F. aut Baker, John M. aut Cheng, H. H. aut Enthalten in Environmental management New York, NY : Springer, 1976 33(2004), Suppl 1 vom: 20. Jan., Seite S289-S298 (DE-627)27117532X (DE-600)1478932-2 1432-1009 nnns volume:33 year:2004 number:Suppl 1 day:20 month:01 pages:S289-S298 https://dx.doi.org/10.1007/s00267-003-9138-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 33 2004 Suppl 1 20 01 S289-S298 |
| spelling |
10.1007/s00267-003-9138-x doi (DE-627)SPR003362817 (SPR)s00267-003-9138-x-e DE-627 ger DE-627 rakwb eng Gollany, Hero T. verfasserin aut Nitrogen Leaching and Denitrification in Continuous Corn as Related to Residue Management and Nitrogen Fertilization 2004 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag New York, Inc. 2004 Abstract Maintaining crop production levels with reductions in terrestrial greenhouse gases requires strategic residue and nitrogen (N) fertilizer management. Our objectives were to: (1) quantify the effect of nitrogen N application rate on N losses; (2) examine the role of residue returned on N transformation and losses; and (3) verify the capability of the NCSWAP/NCSOIL model to simulate the dynamics of N and 15N in the soil–plant system. Data obtained from a long-term continuous corn study on a silt loam soil, with two N levels (20 and 200 kg N/ha), with two types of residue management (residue harvested, −R; and residue returned, +R) was used to calibrate the model. The model accurately predicted 15N in the plant and soil organic matter (SOM) at the 0- to 15-cm and 15- to 30-cm depths for both fertilizer rates and residue managements. Concentrations of 15N in the corn and SOM were higher for the 20 than 200 kg N/ha treatments. Greater dilution of the 15N with nontracer fertilizer added at the higher fertilizer rate was responsible for differences in 15N concentrations in the plant. The predicted cumulative N loss during a 30-year simulation indicates more nitrate leaching past the 1-m depth for −R than +R treatments, while higher denitrification rates were predicted for the +R than −R. The simulated cumulative effect of residue returned on denitrification over 30 years predicted increased cumulative N losses from 1320 to 1705 kg N/ha and 1333 to 2574 kg N/ha for the low and high N application rates, respectively. Better synchronization of N release from residue and addition of N fertilizer with plant-N uptake would minimize leaching and denitrification. Soil organic matter (dpeaa)DE-He213 nitrate leaching (dpeaa)DE-He213 N (dpeaa)DE-He213 tracer N uptake (dpeaa)DE-He213 Biomass (dpeaa)DE-He213 NCSWAP simulation (dpeaa)DE-He213 denitrification (dpeaa)DE-He213 Molina, Jean-Alex E. aut Clapp, C. Edward aut Allmaras, Raymond R. aut Layese, Milegua F. aut Baker, John M. aut Cheng, H. H. aut Enthalten in Environmental management New York, NY : Springer, 1976 33(2004), Suppl 1 vom: 20. Jan., Seite S289-S298 (DE-627)27117532X (DE-600)1478932-2 1432-1009 nnns volume:33 year:2004 number:Suppl 1 day:20 month:01 pages:S289-S298 https://dx.doi.org/10.1007/s00267-003-9138-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 33 2004 Suppl 1 20 01 S289-S298 |
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10.1007/s00267-003-9138-x doi (DE-627)SPR003362817 (SPR)s00267-003-9138-x-e DE-627 ger DE-627 rakwb eng Gollany, Hero T. verfasserin aut Nitrogen Leaching and Denitrification in Continuous Corn as Related to Residue Management and Nitrogen Fertilization 2004 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag New York, Inc. 2004 Abstract Maintaining crop production levels with reductions in terrestrial greenhouse gases requires strategic residue and nitrogen (N) fertilizer management. Our objectives were to: (1) quantify the effect of nitrogen N application rate on N losses; (2) examine the role of residue returned on N transformation and losses; and (3) verify the capability of the NCSWAP/NCSOIL model to simulate the dynamics of N and 15N in the soil–plant system. Data obtained from a long-term continuous corn study on a silt loam soil, with two N levels (20 and 200 kg N/ha), with two types of residue management (residue harvested, −R; and residue returned, +R) was used to calibrate the model. The model accurately predicted 15N in the plant and soil organic matter (SOM) at the 0- to 15-cm and 15- to 30-cm depths for both fertilizer rates and residue managements. Concentrations of 15N in the corn and SOM were higher for the 20 than 200 kg N/ha treatments. Greater dilution of the 15N with nontracer fertilizer added at the higher fertilizer rate was responsible for differences in 15N concentrations in the plant. The predicted cumulative N loss during a 30-year simulation indicates more nitrate leaching past the 1-m depth for −R than +R treatments, while higher denitrification rates were predicted for the +R than −R. The simulated cumulative effect of residue returned on denitrification over 30 years predicted increased cumulative N losses from 1320 to 1705 kg N/ha and 1333 to 2574 kg N/ha for the low and high N application rates, respectively. Better synchronization of N release from residue and addition of N fertilizer with plant-N uptake would minimize leaching and denitrification. Soil organic matter (dpeaa)DE-He213 nitrate leaching (dpeaa)DE-He213 N (dpeaa)DE-He213 tracer N uptake (dpeaa)DE-He213 Biomass (dpeaa)DE-He213 NCSWAP simulation (dpeaa)DE-He213 denitrification (dpeaa)DE-He213 Molina, Jean-Alex E. aut Clapp, C. Edward aut Allmaras, Raymond R. aut Layese, Milegua F. aut Baker, John M. aut Cheng, H. H. aut Enthalten in Environmental management New York, NY : Springer, 1976 33(2004), Suppl 1 vom: 20. Jan., Seite S289-S298 (DE-627)27117532X (DE-600)1478932-2 1432-1009 nnns volume:33 year:2004 number:Suppl 1 day:20 month:01 pages:S289-S298 https://dx.doi.org/10.1007/s00267-003-9138-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 33 2004 Suppl 1 20 01 S289-S298 |
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10.1007/s00267-003-9138-x doi (DE-627)SPR003362817 (SPR)s00267-003-9138-x-e DE-627 ger DE-627 rakwb eng Gollany, Hero T. verfasserin aut Nitrogen Leaching and Denitrification in Continuous Corn as Related to Residue Management and Nitrogen Fertilization 2004 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag New York, Inc. 2004 Abstract Maintaining crop production levels with reductions in terrestrial greenhouse gases requires strategic residue and nitrogen (N) fertilizer management. Our objectives were to: (1) quantify the effect of nitrogen N application rate on N losses; (2) examine the role of residue returned on N transformation and losses; and (3) verify the capability of the NCSWAP/NCSOIL model to simulate the dynamics of N and 15N in the soil–plant system. Data obtained from a long-term continuous corn study on a silt loam soil, with two N levels (20 and 200 kg N/ha), with two types of residue management (residue harvested, −R; and residue returned, +R) was used to calibrate the model. The model accurately predicted 15N in the plant and soil organic matter (SOM) at the 0- to 15-cm and 15- to 30-cm depths for both fertilizer rates and residue managements. Concentrations of 15N in the corn and SOM were higher for the 20 than 200 kg N/ha treatments. Greater dilution of the 15N with nontracer fertilizer added at the higher fertilizer rate was responsible for differences in 15N concentrations in the plant. The predicted cumulative N loss during a 30-year simulation indicates more nitrate leaching past the 1-m depth for −R than +R treatments, while higher denitrification rates were predicted for the +R than −R. The simulated cumulative effect of residue returned on denitrification over 30 years predicted increased cumulative N losses from 1320 to 1705 kg N/ha and 1333 to 2574 kg N/ha for the low and high N application rates, respectively. Better synchronization of N release from residue and addition of N fertilizer with plant-N uptake would minimize leaching and denitrification. Soil organic matter (dpeaa)DE-He213 nitrate leaching (dpeaa)DE-He213 N (dpeaa)DE-He213 tracer N uptake (dpeaa)DE-He213 Biomass (dpeaa)DE-He213 NCSWAP simulation (dpeaa)DE-He213 denitrification (dpeaa)DE-He213 Molina, Jean-Alex E. aut Clapp, C. Edward aut Allmaras, Raymond R. aut Layese, Milegua F. aut Baker, John M. aut Cheng, H. H. aut Enthalten in Environmental management New York, NY : Springer, 1976 33(2004), Suppl 1 vom: 20. Jan., Seite S289-S298 (DE-627)27117532X (DE-600)1478932-2 1432-1009 nnns volume:33 year:2004 number:Suppl 1 day:20 month:01 pages:S289-S298 https://dx.doi.org/10.1007/s00267-003-9138-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 33 2004 Suppl 1 20 01 S289-S298 |
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10.1007/s00267-003-9138-x doi (DE-627)SPR003362817 (SPR)s00267-003-9138-x-e DE-627 ger DE-627 rakwb eng Gollany, Hero T. verfasserin aut Nitrogen Leaching and Denitrification in Continuous Corn as Related to Residue Management and Nitrogen Fertilization 2004 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag New York, Inc. 2004 Abstract Maintaining crop production levels with reductions in terrestrial greenhouse gases requires strategic residue and nitrogen (N) fertilizer management. Our objectives were to: (1) quantify the effect of nitrogen N application rate on N losses; (2) examine the role of residue returned on N transformation and losses; and (3) verify the capability of the NCSWAP/NCSOIL model to simulate the dynamics of N and 15N in the soil–plant system. Data obtained from a long-term continuous corn study on a silt loam soil, with two N levels (20 and 200 kg N/ha), with two types of residue management (residue harvested, −R; and residue returned, +R) was used to calibrate the model. The model accurately predicted 15N in the plant and soil organic matter (SOM) at the 0- to 15-cm and 15- to 30-cm depths for both fertilizer rates and residue managements. Concentrations of 15N in the corn and SOM were higher for the 20 than 200 kg N/ha treatments. Greater dilution of the 15N with nontracer fertilizer added at the higher fertilizer rate was responsible for differences in 15N concentrations in the plant. The predicted cumulative N loss during a 30-year simulation indicates more nitrate leaching past the 1-m depth for −R than +R treatments, while higher denitrification rates were predicted for the +R than −R. The simulated cumulative effect of residue returned on denitrification over 30 years predicted increased cumulative N losses from 1320 to 1705 kg N/ha and 1333 to 2574 kg N/ha for the low and high N application rates, respectively. Better synchronization of N release from residue and addition of N fertilizer with plant-N uptake would minimize leaching and denitrification. Soil organic matter (dpeaa)DE-He213 nitrate leaching (dpeaa)DE-He213 N (dpeaa)DE-He213 tracer N uptake (dpeaa)DE-He213 Biomass (dpeaa)DE-He213 NCSWAP simulation (dpeaa)DE-He213 denitrification (dpeaa)DE-He213 Molina, Jean-Alex E. aut Clapp, C. Edward aut Allmaras, Raymond R. aut Layese, Milegua F. aut Baker, John M. aut Cheng, H. H. aut Enthalten in Environmental management New York, NY : Springer, 1976 33(2004), Suppl 1 vom: 20. Jan., Seite S289-S298 (DE-627)27117532X (DE-600)1478932-2 1432-1009 nnns volume:33 year:2004 number:Suppl 1 day:20 month:01 pages:S289-S298 https://dx.doi.org/10.1007/s00267-003-9138-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 33 2004 Suppl 1 20 01 S289-S298 |
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English |
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Enthalten in Environmental management 33(2004), Suppl 1 vom: 20. Jan., Seite S289-S298 volume:33 year:2004 number:Suppl 1 day:20 month:01 pages:S289-S298 |
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Enthalten in Environmental management 33(2004), Suppl 1 vom: 20. Jan., Seite S289-S298 volume:33 year:2004 number:Suppl 1 day:20 month:01 pages:S289-S298 |
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Soil organic matter nitrate leaching N tracer N uptake Biomass NCSWAP simulation denitrification |
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Environmental management |
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Gollany, Hero T. @@aut@@ Molina, Jean-Alex E. @@aut@@ Clapp, C. Edward @@aut@@ Allmaras, Raymond R. @@aut@@ Layese, Milegua F. @@aut@@ Baker, John M. @@aut@@ Cheng, H. H. @@aut@@ |
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2004-01-20T00:00:00Z |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR003362817</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230328135710.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201001s2004 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00267-003-9138-x</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR003362817</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00267-003-9138-x-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Gollany, Hero T.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Nitrogen Leaching and Denitrification in Continuous Corn as Related to Residue Management and Nitrogen Fertilization</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2004</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag New York, Inc. 2004</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Maintaining crop production levels with reductions in terrestrial greenhouse gases requires strategic residue and nitrogen (N) fertilizer management. Our objectives were to: (1) quantify the effect of nitrogen N application rate on N losses; (2) examine the role of residue returned on N transformation and losses; and (3) verify the capability of the NCSWAP/NCSOIL model to simulate the dynamics of N and 15N in the soil–plant system. Data obtained from a long-term continuous corn study on a silt loam soil, with two N levels (20 and 200 kg N/ha), with two types of residue management (residue harvested, −R; and residue returned, +R) was used to calibrate the model. The model accurately predicted 15N in the plant and soil organic matter (SOM) at the 0- to 15-cm and 15- to 30-cm depths for both fertilizer rates and residue managements. Concentrations of 15N in the corn and SOM were higher for the 20 than 200 kg N/ha treatments. Greater dilution of the 15N with nontracer fertilizer added at the higher fertilizer rate was responsible for differences in 15N concentrations in the plant. The predicted cumulative N loss during a 30-year simulation indicates more nitrate leaching past the 1-m depth for −R than +R treatments, while higher denitrification rates were predicted for the +R than −R. The simulated cumulative effect of residue returned on denitrification over 30 years predicted increased cumulative N losses from 1320 to 1705 kg N/ha and 1333 to 2574 kg N/ha for the low and high N application rates, respectively. 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Gollany, Hero T. |
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Gollany, Hero T. misc Soil organic matter misc nitrate leaching misc N misc tracer N uptake misc Biomass misc NCSWAP simulation misc denitrification Nitrogen Leaching and Denitrification in Continuous Corn as Related to Residue Management and Nitrogen Fertilization |
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Nitrogen Leaching and Denitrification in Continuous Corn as Related to Residue Management and Nitrogen Fertilization Soil organic matter (dpeaa)DE-He213 nitrate leaching (dpeaa)DE-He213 N (dpeaa)DE-He213 tracer N uptake (dpeaa)DE-He213 Biomass (dpeaa)DE-He213 NCSWAP simulation (dpeaa)DE-He213 denitrification (dpeaa)DE-He213 |
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misc Soil organic matter misc nitrate leaching misc N misc tracer N uptake misc Biomass misc NCSWAP simulation misc denitrification |
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Nitrogen Leaching and Denitrification in Continuous Corn as Related to Residue Management and Nitrogen Fertilization |
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Gollany, Hero T. Molina, Jean-Alex E. Clapp, C. Edward Allmaras, Raymond R. Layese, Milegua F. Baker, John M. Cheng, H. H. |
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nitrogen leaching and denitrification in continuous corn as related to residue management and nitrogen fertilization |
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Nitrogen Leaching and Denitrification in Continuous Corn as Related to Residue Management and Nitrogen Fertilization |
| abstract |
Abstract Maintaining crop production levels with reductions in terrestrial greenhouse gases requires strategic residue and nitrogen (N) fertilizer management. Our objectives were to: (1) quantify the effect of nitrogen N application rate on N losses; (2) examine the role of residue returned on N transformation and losses; and (3) verify the capability of the NCSWAP/NCSOIL model to simulate the dynamics of N and 15N in the soil–plant system. Data obtained from a long-term continuous corn study on a silt loam soil, with two N levels (20 and 200 kg N/ha), with two types of residue management (residue harvested, −R; and residue returned, +R) was used to calibrate the model. The model accurately predicted 15N in the plant and soil organic matter (SOM) at the 0- to 15-cm and 15- to 30-cm depths for both fertilizer rates and residue managements. Concentrations of 15N in the corn and SOM were higher for the 20 than 200 kg N/ha treatments. Greater dilution of the 15N with nontracer fertilizer added at the higher fertilizer rate was responsible for differences in 15N concentrations in the plant. The predicted cumulative N loss during a 30-year simulation indicates more nitrate leaching past the 1-m depth for −R than +R treatments, while higher denitrification rates were predicted for the +R than −R. The simulated cumulative effect of residue returned on denitrification over 30 years predicted increased cumulative N losses from 1320 to 1705 kg N/ha and 1333 to 2574 kg N/ha for the low and high N application rates, respectively. Better synchronization of N release from residue and addition of N fertilizer with plant-N uptake would minimize leaching and denitrification. © Springer-Verlag New York, Inc. 2004 |
| abstractGer |
Abstract Maintaining crop production levels with reductions in terrestrial greenhouse gases requires strategic residue and nitrogen (N) fertilizer management. Our objectives were to: (1) quantify the effect of nitrogen N application rate on N losses; (2) examine the role of residue returned on N transformation and losses; and (3) verify the capability of the NCSWAP/NCSOIL model to simulate the dynamics of N and 15N in the soil–plant system. Data obtained from a long-term continuous corn study on a silt loam soil, with two N levels (20 and 200 kg N/ha), with two types of residue management (residue harvested, −R; and residue returned, +R) was used to calibrate the model. The model accurately predicted 15N in the plant and soil organic matter (SOM) at the 0- to 15-cm and 15- to 30-cm depths for both fertilizer rates and residue managements. Concentrations of 15N in the corn and SOM were higher for the 20 than 200 kg N/ha treatments. Greater dilution of the 15N with nontracer fertilizer added at the higher fertilizer rate was responsible for differences in 15N concentrations in the plant. The predicted cumulative N loss during a 30-year simulation indicates more nitrate leaching past the 1-m depth for −R than +R treatments, while higher denitrification rates were predicted for the +R than −R. The simulated cumulative effect of residue returned on denitrification over 30 years predicted increased cumulative N losses from 1320 to 1705 kg N/ha and 1333 to 2574 kg N/ha for the low and high N application rates, respectively. Better synchronization of N release from residue and addition of N fertilizer with plant-N uptake would minimize leaching and denitrification. © Springer-Verlag New York, Inc. 2004 |
| abstract_unstemmed |
Abstract Maintaining crop production levels with reductions in terrestrial greenhouse gases requires strategic residue and nitrogen (N) fertilizer management. Our objectives were to: (1) quantify the effect of nitrogen N application rate on N losses; (2) examine the role of residue returned on N transformation and losses; and (3) verify the capability of the NCSWAP/NCSOIL model to simulate the dynamics of N and 15N in the soil–plant system. Data obtained from a long-term continuous corn study on a silt loam soil, with two N levels (20 and 200 kg N/ha), with two types of residue management (residue harvested, −R; and residue returned, +R) was used to calibrate the model. The model accurately predicted 15N in the plant and soil organic matter (SOM) at the 0- to 15-cm and 15- to 30-cm depths for both fertilizer rates and residue managements. Concentrations of 15N in the corn and SOM were higher for the 20 than 200 kg N/ha treatments. Greater dilution of the 15N with nontracer fertilizer added at the higher fertilizer rate was responsible for differences in 15N concentrations in the plant. The predicted cumulative N loss during a 30-year simulation indicates more nitrate leaching past the 1-m depth for −R than +R treatments, while higher denitrification rates were predicted for the +R than −R. The simulated cumulative effect of residue returned on denitrification over 30 years predicted increased cumulative N losses from 1320 to 1705 kg N/ha and 1333 to 2574 kg N/ha for the low and high N application rates, respectively. Better synchronization of N release from residue and addition of N fertilizer with plant-N uptake would minimize leaching and denitrification. © Springer-Verlag New York, Inc. 2004 |
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Suppl 1 |
| title_short |
Nitrogen Leaching and Denitrification in Continuous Corn as Related to Residue Management and Nitrogen Fertilization |
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https://dx.doi.org/10.1007/s00267-003-9138-x |
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Molina, Jean-Alex E. Clapp, C. Edward Allmaras, Raymond R. Layese, Milegua F. Baker, John M. Cheng, H. H. |
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Molina, Jean-Alex E. Clapp, C. Edward Allmaras, Raymond R. Layese, Milegua F. Baker, John M. Cheng, H. H. |
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| score |
7.3997936 |