Autosoft Journal

Online Manuscript Access


Winter Wheat Cropland Grain Protein Content Evaluation through Remote Sensing


Authors



Abstract

Grain protein content (GPC) is generally not uniform across cropland due to changes in landscape position, nutrient availability, soil chemical, physical properties, cropping history and soil type. It is necessary to determine the winter wheat GPC quality for different croplands in a collecting area in order to optimize the grading process. GPC quality evaluation refers not only the GPC value, but also the GPC uniformity across a cropland. The objective of this study was to develop a method to evaluate the GPC quality for different croplands through remote sensing technique. Three Landsat5 TM images were acquired on March 27, April 28 and May 30, 2008, corresponding to erecting stage, booting stage and grain filling stage of wheat. The wheat GPC was determined after harvest. Then multi linear regression (MLR) analysis with the enter method was calculated using the TM spectral parameters and the measured GPC data. The GPC MLR model was established based on multi-temporal spectral parameters. The accuracy of the model was R2003E0.521, RMSE00A0003C00A00.66%. The GPC mean value and standard deviation value for each cropland was calculated based on the ancillary cropland boundary data and the grain protein monitoring map. Winter wheat filed GPC quality was evaluated by the GPC mean value and GPC uniformity parameter - coefficients of variation (CV). The evaluation result indicated that the super or good level winter wheat croplands mainly lie in Tongzhou, Daxing and Shunyi County, while the middle or low GPC level croplands are mainly distributed on the Fangshang county. This study indicates that the remote sensing technique provides valuable opportunities to monitor and evaluate grain protein quality.


Keywords


Pages

Total Pages: 11
Pages: 599-609

DOI
10.1080/10798587.2014.934593


Manuscript ViewPdf Subscription required to access this document

Obtain access this manuscript in one of the following ways


Already subscribed?

Need information on obtaining a subscription? Personal and institutional subscriptions are available.

Already an author? Have access via email address?


Published

Volume: 20
Issue: 4
Year: 2014

Cite this document


References

Stoddard, FL, and DR Marshall. "Variability in Grain Protein in Australian Hexaploid Wheats." Australian Journal of Agricultural Research 41.2 (1990): 277. Crossref. Web. https://doi.org/10.1071/AR9900277

Ritter, C. et al. "An on-Farm Approach to Quantify Yield Variation and to Derive Decision Rules for Site-Specific Weed Management." Precision Agriculture 9.3 (2008): 133-146. Crossref. Web. https://doi.org/10.1007/s11119-008-9061-5

Le Bail, Marianne, and David Makowski. "A Model-Based Approach for Optimizing Segregation of Soft Wheat in Country Elevators." European Journal of Agronomy 21.2 (2004): 171-180. Crossref. Web. https://doi.org/10.1016/j.eja.2003.07.002

Moran, M.S., Y. Inoue, and E.M. Barnes. "Opportunities and Limitations for Image-Based Remote Sensing in Precision Crop Management." Remote Sensing of Environment 61.3 (1997): 319-346. Crossref. Web. https://doi.org/10.1016/S0034-4257(97)00045-X

Serrano, Lydia, Iolanda Filella, and Josep PenËœuelas. "Remote Sensing of Biomass and Yield of Winter Wheat Under Different Nitrogen Supplies." Crop Science 40.3 (2000): 723. Crossref. Web. https://doi.org/10.2135/cropsci2000.403723x

Wood, G.A et al. "Real-Time Measures of Canopy Size as a Basis for Spatially Varying Nitrogen Applications to Winter Wheat Sown at Different Seed Rates." Biosystems Engineering 84.4 (2003): 513-531. Crossref. Web. https://doi.org/10.1016/S1537-5110(03)00006-0

Filella, I. et al. "Evaluating Wheat Nitrogen Status with Canopy Reflectance Indices and Discriminant Analysis." Crop Science 35.5 (1995): 1400. Crossref. Web. https://doi.org/10.2135/cropsci1995.0011183X003500050023x

Thomas, J. R., and G. F. Oerther. "Estimating Nitrogen Content of Sweet Pepper Leaves by Reflectance Measurements1." Agronomy Journal 64.1 (1972): 11. Crossref. Web. https://doi.org/10.2134/agronj1972.00021962006400010004x

Kleman, Johan, and Erik Fagerlund. "Influence of Different Nitrogen and Irrigation Treatments on the Spectral Reflectance of Barley." Remote Sensing of Environment 21.1 (1987): 1-14. Crossref. Web. https://doi.org/10.1016/0034-4257(87)90002-2

Blackmer, Tracy M. et al. "Nitrogen Deficiency Detection Using Reflected Shortwave Radiation from Irrigated Corn Canopies." Agronomy Journal 88.1 (1996): 1. Crossref. Web. https://doi.org/10.2134/agronj1996.00021962008800010001x

Sembiring, H. et al. "Detection of Nitrogen and Phosphorus Nutrient Status in Winter Wheat Using Spectral Radiance." Journal of Plant Nutrition 21.6 (1998): 1207-1233. Crossref. Web. https://doi.org/10.1080/01904169809365478

ENVI 4.1. (2003). ENVI user”s guide. Boulder, CO: ITT Industries.

SPIE Proceeding

Rouse, J. W., Haas, R. H., Schell, J. A., Deering, D. W. & Harlan, J. C. (1974). Monitoring the vernal advancement of retro-gradation of natural vegetation. In NASA/GSFC Type III, Final report (pp. 1–371). Greenbelt, MD.

Gitelson, Anatoly A., and Mark N. Merzlyak. "Signature Analysis of Leaf Reflectance Spectra: Algorithm Development for Remote Sensing of Chlorophyll." Journal of Plant Physiology 148.3-4 (1996): 494-500. Crossref. Web. https://doi.org/10.1016/S0176-1617(96)80284-7

Rondeaux, Geneviève, Michael Steven, and Frédéric Baret. "Optimization of Soil-Adjusted Vegetation Indices." Remote Sensing of Environment 55.2 (1996): 95-107. Crossref. Web. https://doi.org/10.1016/0034-4257(95)00186-7

Jordan, Carl F. "Derivation of Leaf-Area Index from Quality of Light on the Forest Floor." Ecology 50.4 (1969): 663-666. Crossref. Web. https://doi.org/10.2307/1936256

Schleicher, T. D., Bausch, W. C., Delgado, J. A. & Ayers, P. D. (2001). Evaluation and refinement of the nitrogen reflectance index (NRI) for site-specific fertilizer management. In 2001 ASAE Annual International Meeting, St-Joseph, MI, USA. ASAE Paper (No. 01-11151) .

Peñuelas J. Photosynthetica

Merzlyak, Mark N. et al. "Non-Destructive Optical Detection of Pigment Changes During Leaf Senescence and Fruit Ripening." Physiologia Plantarum 106.1 (1999): 135-141. Crossref. Web. https://doi.org/10.1034/j.1399-3054.1999.106119.x

Peñuelas, J. et al. "Reflectance Indices Associated with Physiological Changes in Nitrogen- and Water-Limited Sunflower Leaves." Remote Sensing of Environment 48.2 (1994): 135-146. Crossref. Web. https://doi.org/10.1016/0034-4257(94)90136-8

Gamon, John A. et al. "Relationships Between NDVI, Canopy Structure, and Photosynthesis in Three Californian Vegetation Types." Ecological Applications 5.1 (1995): 28-41. Crossref. Web. https://doi.org/10.2307/1942049

Daughtry, C. "Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance." Remote Sensing of Environment 74.2 (2000): 229-239. Crossref. Web. https://doi.org/10.1016/S0034-4257(00)00113-9

Haboudane, Driss et al. "Integrated Narrow-Band Vegetation Indices for Prediction of Crop Chlorophyll Content for Application to Precision Agriculture." Remote Sensing of Environment 81.2-3 (2002): 416-426. Crossref. Web. https://doi.org/10.1016/S0034-4257(02)00018-4

Schleicher, T. D., Bausch, W. C., Delgado, J. A. & Ayers, P. D. (2001). Evaluation and refinement of the nitrogen reflectance index (NRI) for site-specific fertilizer management. In 2001 ASAE Annual International Meeting, St-Joseph, MI, USA. ASAE Paper (No. 01-11151) .

Zhao, Chunjiang et al. "Predicting Grain Protein Content of Winter Wheat Using Remote Sensing Data Based on Nitrogen Status and Water Stress." International Journal of Applied Earth Observation and Geoinformation 7.1 (2005): 1-9. Crossref. Web. https://doi.org/10.1016/j.jag.2004.10.002

Barneix, Atilio J. "Physiology and Biochemistry of Source-Regulated Protein Accumulation in the Wheat Grain." Journal of Plant Physiology 164.5 (2007): 581-590. Crossref. Web. https://doi.org/10.1016/j.jplph.2006.03.009

Wang S. Q. Geographical Research

Wheat for specific food end-use in Beijing. (2002). DB11/T169, The local standard of Beijng.

Ren, Dong et al. "An Improved Pca Fusion Method Based on Generalized Intensity-Hue-Saturation Fusion Technique." Intelligent Automation & Soft Computing 18.8 (2012): 1165-1175. Crossref. Web. https://doi.org/10.1080/10798587.2008.10643320

JOURNAL INFORMATION


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)

TWO YEAR CITATIONS PER DOCUMENT (SJR DATA): 0.993 (2018)
SJR: "The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric."





Journal: 1995-Present


CONTACT INFORMATION


TSI Press
18015 Bullis Hill
San Antonio, TX 78258 USA
PH: 210 479 1022
FAX: 210 479 1048
EMAIL: tsiepress@gmail.com
WEB: http://www.wacong.org/tsi/