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Filters: Sites: US-Ne3

Publications Found: 29

Hybrid-Maize—A Maize Simulation Model That Combines Two Crop Modeling Approaches
Yang, H., Dobermann, A., Lindquist, J., Walters, D., Arkebauer, T., Cassman, K.

A new maize (Zea mays L.) simulation model, Hybrid-Maize, was developed by combining the strengths of two modeling approaches: the growth and development functions in maize-specific models represented by CERES-Maize, and the mechanistic formulation of photosynthesis and respiration in generic crop models such as INTERCOM …

Journal: Field Crops Research, Volume 87 (2-3): 131-154 (2004). DOI: 10.1016/j.fcr.2003.10.003 Sites: US-Ne1, US-Ne2, US-Ne3

Growing Season Carbon Dioxide Exchange In Irrigated And Rainfed Maize
Suyker, A., Verma, S., Burba, G., Arkebauer, T., Walters, D., Hubbard, K.

Net ecosystem CO₂ exchange (NEE) was measured in maize-based agroecosystems in eastern Nebraska, USA, during the growing season in 2001. The objective of this study was to quantify and contrast NEE in irrigated and rainfed maize (Zea maize L.) fields. …

Journal: Agricultural And Forest Meteorology, Volume 124 (1-2): 1-13 (2004). DOI: 10.1016/j.agrformet.2004.01.011 Sites: US-Ne1, US-Ne2, US-Ne3

Wide Dynamic Range Vegetation Index For Remote Quantification Of Biophysical Characteristics Of Vegetation
Gitelson, A. A.

The Normalized Difference Vegetation Index (NDVI) is widely used for monitoring, analyzing, and mapping temporal and spatial distributions of physiological and biophysical characteristics of vegetation. It is well documented that the NDVI approaches saturation asymptotically under conditions of moderate-to-high aboveground biomass. …

Journal: Journal Of Plant Physiology, Volume 161 (2): 165-173 (2004). DOI: 10.1078/0176-1617-01176 Sites: US-Ne1, US-Ne2, US-Ne3

Screening Yield Monitor Data Improves Grain Yield Maps
Simbahan, G. C., Dobermann, A., Ping, J. L.

Yield monitor data contain systematic and random errors, which must be removed for creating accurate yield maps. A general procedure for assessing yield data cleaning methods was applied to a new postprocessing algorithm in which six common types of erroneous yield monitor values were removed: (1) combine header status up; (2) start-/end-pass …

Journal: Agronomy Journal, Volume 96 (4): 1091-1102 (2004). DOI: 10.2134/agronj2004.1091 Sites: US-Ne1, US-Ne2, US-Ne3

Meeting Cereal Demand While Protecting Natural Resources And Improving Environmental Quality
Cassman, K. G., Dobermann, A., Walters, D. T., Yang, H.

Agriculture is a resource-intensive enterprise. The manner in which food production systems utilize resources has a large influence on environmental quality. To evaluate prospects for conserving natural resources while meeting increased demand for cereals, we interpret recent trends and future trajectories in crop yields, land and …

Journal: Annual Review Of Environment And Resources, Volume 28 (1): 315-358 (2003). DOI: 10.1146/annurev.energy.28.040202.122858 Sites: US-Ne2, US-Ne3

Novel Technique For Remote Estimation Of CO2 Flux In Maize
Gitelson, A. A., Verma, S. B., Rundquist, D. C., Keydan, G., Leavitt, B., Arkebauer, T. J., Burba, G. G., Suyker, A. E.

There is considerable interest in assessing the magnitude of carbon sources and sinks for agricultural lands, grasslands, and forests. In this paper, we propose a novel technique to remotely assess CO₂ fluxes in maize using reflectances (ρ) in two spectral channels either in the green around 550 nm or in the red edge …

Journal: Geophysical Research Letters, Volume 30 (9): 1486-n/a (2003). DOI: 10.1029/2002gl016543 Sites: US-Ne3

Remote Estimation Of Leaf Area Index And Green Leaf Biomass In Maize Canopies
Gitelson, A. A., Viña, A., Arkebauer, T. J., Rundquist, D. C., Keydan, G., Leavitt, B.

Leaf area index (LAI) is an important variable for climate modeling, estimates of primary production, agricultural yield forecasting, and many other diverse studies. Remote sensing provides a considerable potential for estimating LAI at local to regional and global scales. Several spectral vegetation indices have been proposed, but …

Journal: Geophysical Research Letters, Volume 30 (5): n/a-n/a (2003). DOI: 10.1029/2002gl016450 Sites: US-Ne2, US-Ne3

Creating Spatially Contiguous Yield Classes For Site-Specific Management
Ping, J. L., Dobermann, A.

Annual yield maps are spatially fragmented because of random variation caused by crop management as well as measurement errors. Two approaches for creating maps of spatially contiguous yield classes were evaluated at two irrigated sites. In the first approach, prior-classification interpolation (PCI), grid size was increased from …

Journal: Agronomy Journal, Volume 95 (5): 1121-1131 (2003). DOI: 10.2134/agronj2003.1121 Sites: US-Ne1, US-Ne2, US-Ne3

Classification Of Crop Yield Variability In Irrigated Production Fields
Dobermann, A., Ping, J. L., Adamchuk, V. I., Simbahan, G. C., Ferguson, R. B.

Crop yield maps reflect stable yield patterns and annual random yield variation. Procedures for classifying a sequence of yield maps to delineate yield zones were evaluated in two irrigated maize (Zea mays L.) fields. Yield classes were created using empirically defined yield categories or through hierarchical or nonhierarchical …

Journal: Agronomy Journal, Volume 95 (5): 1105-1120 (2003). DOI: 10.2134/agronj2003.1105 Sites: US-Ne1, US-Ne2, US-Ne3

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