Will Variable-Rate Nitrogen Fertilization Using Corn Canopy Reflectance Sensing Deliver Environmental Benefits?
被引:33
作者:
Roberts, Darrin F.
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机构:
Mississippi State Univ, Dept Plant & Soil Sci, Mississippi State, MS 39762 USAUniv Missouri, USDA ARS, Cropping Syst & Water Qual Res Unit, Columbia, MO 65211 USA
Roberts, Darrin F.
[2
]
Kitchen, Newell R.
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h-index: 0
机构:
Univ Missouri, USDA ARS, Cropping Syst & Water Qual Res Unit, Columbia, MO 65211 USAUniv Missouri, USDA ARS, Cropping Syst & Water Qual Res Unit, Columbia, MO 65211 USA
Kitchen, Newell R.
[1
]
Scharf, Peter C.
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机构:
Univ Missouri, Plant Sci Div, Columbia, MO 65211 USAUniv Missouri, USDA ARS, Cropping Syst & Water Qual Res Unit, Columbia, MO 65211 USA
Scharf, Peter C.
[3
]
Sudduth, Kenneth A.
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机构:
Univ Missouri, USDA ARS, Cropping Syst & Water Qual Res Unit, Columbia, MO 65211 USAUniv Missouri, USDA ARS, Cropping Syst & Water Qual Res Unit, Columbia, MO 65211 USA
Sudduth, Kenneth A.
[1
]
机构:
[1] Univ Missouri, USDA ARS, Cropping Syst & Water Qual Res Unit, Columbia, MO 65211 USA
[2] Mississippi State Univ, Dept Plant & Soil Sci, Mississippi State, MS 39762 USA
[3] Univ Missouri, Plant Sci Div, Columbia, MO 65211 USA
ACTIVE SENSOR;
NITRATE;
RECOMMENDATIONS;
MANAGEMENT;
YIELDS;
D O I:
10.2134/agronj2009.0115
中图分类号:
S3 [农学(农艺学)];
学科分类号:
0901 ;
摘要:
Within-field variability of corn (Zea mays L.) N need calls for development of precision fertilizer application strategies. One approach many are investigating is in-season canopy reflectance sensing. justification for this strategy partly rests with the premise it will improve N use and reduce N loss from fields. The objective of this study was to determine the potential environmental benefits using corn canopy reflectance sensing for N fertilization. On 16 field-scale sites, multiple blocks of randomized N rate plots (0-235 kg N ha(-1)) traversing fields were side-dressed between the V7 and V11 growth stages. Sensor measurements were obtained from these and adjacent N-rich reference strips at side-dressing. Environmental indicators were examined at the determined optimal nitrogen rate (N-optimal) and the nitrogen rate the producer used (N-producer). A partial nitrogen mass balance (PNB) on response blocks within fields highlighted how variable N-optimal likely resulted in multiple and different N loss pathways. For many fields, N-optimal was less than N-producer, and the observed trends were as expected: higher yield efficiency (YE), higher nitrogen fertilizer recovery efficiency (NFRE), lower unaccounted for N, and less postharvest inorganic N. For a measurement examining canopy sensor-based N applications, N savings of 10 to 50 kg N ha(-1) would be expected, but savings varied by reflectance readings, soil type, and fertilizer and grain prices. In some situations sensor-based N would be greater than N-producer. Given that sensor information can be processed into an N rate that approximates N-optimal, the results support sensor-based N applications have potential for environmental benefits.