Evaluating temporal variability in the spectral reflectance response of annual ryegrass to changes in nitrogen applications and leaching fractions

References

• Baghzouz , M. 2004 . “ Spectral analysis of hybrid bermudagrass placed under various combinations of nitrogen and water availability. ” . 213 Master's thesis. University of Nevada, Las Vegas
   Google Scholar
• Bell , G. E. , Martin , D. L. , Wiese , S. G. , Dobson , D. D. , Smith , M. W. , Stone , M. L. and Solie , J. B. 2002 . Vehicle‐mounted optical sensing: an objective means for evaluating turf quality. . Crop Science , 42 : 197 – 201 .
   PubMed Web of Science ®Google Scholar
• Blackmer , T. M. , Schepers , J. S. and Varvel , G. E. 1994 . Light reflectance compared with other nitrogen stress measurements in corn leaves. . Agronomy Journal , 86 : 934 – 938 .
   Web of Science ®Google Scholar
• Brown , C. A. , Devitt , D. A. and Morris , R. L. 2004 . Water use and physiological response of tall fescue turf to water deficit irrigation in an arid environment. . HortScience , 39 : 388 – 393 .
   Google Scholar
• Carter , G. A. 1993 . Responses of leaf spectral reflectance to plant stress. . American Journal of Botany , 80 : 239 – 243 .
   Web of Science ®Google Scholar
• Carter , G. A. and Miller , R. L. 1994 . Early detection of plant stress by digital imaging within narrow stress‐sensitive wavebands. . Remote Sensing of Environment , 50 : 295 – 302 .
   Web of Science ®Google Scholar
• Carter , G. A. and Knapp , A. K. 2001 . Leaf optical properties in higher plants: linking spectral characteristics to stress and chlorophyll concentration. . American Journal of Botany , 88 : 677 – 684 .
   PubMed Web of Science ®Google Scholar
• EPA . 1994 . Chlorophyll determination SOP#2030. DATE: 11/17/94. REV. #: 0.0
   Google Scholar
• Fenstermaker‐Shaulis , L. K. , Leskys , A. and Devitt , D. A. 1997 . Utilization of remotely sensed data to map and evaluate turfgrass stress associated with drought. . Journal of Turfgrass Management , 2 : 65 – 81 .
   Google Scholar
• Fernandez , S. , Vidal , D. , Simon , E. and Sole‐Sugrañes , L. 1994 . Radiometric characteristics of Triticum aestivum cv. Astral under water and nitrogen stress. . International Journal of Remote Sensing , 15 : 1867 – 1884 .
   Web of Science ®Google Scholar
• Filella , I. and Peñuelas , J. 1994 . The red edge position and shape as indicators of plant chlorophyll content, biomass and hydric status. . International Journal of Remote Sensing , 15 : 1459 – 1470 .
   Web of Science ®Google Scholar
• Filella , I. , Serrano , L. , Serra , J. and Peñuelas , J. 1995 . Evaluating wheat nitrogen status with canopy reflectance indices and discriminant analysis. . Crop Science , 35 : 1400 – 1405 .
   Web of Science ®Google Scholar
• Gamon , J. A. , Field , C. B. , Goulden , M. L. , Griffin , K. L. , Hartley , A. E. , Joel , G. , Penuelas , J. and Valentini , R. 1995 . Relationships between NDVI, canopy structure, and photosynthesis in three Californian vegetation types. . Ecological Applications , 5 : 28 – 41 .
   Web of Science ®Google Scholar
• Green II , D. E. , Burpee , L. L. and Stevenson , K. L. 1998 . Canopy reflectance as a measure of disease in tall fescue. . Crop Science , 38 : 1603 – 1613 .
   Google Scholar
• Gitelson , A. A. and Merzlyak , M. 1994 . Spectral reflectance changes associated with autumn senescence of Aesculus hippocastanum and Acer platanoides leaves. Spectral features and relation to chlorophyll estimation. . Journal of Plant Physiology , 143 : 286 – 292 .
   Web of Science ®Google Scholar
• Gitelson , A. A. and Merzlyak , M. N. 1996 . Signature analysis of leaf reflectance spectra: algorithm development for remote sensing of chlorophyll. . Journal of Plant Physiology , 148 : 494 – 500 .
   Web of Science ®Google Scholar
• Guertal , E. A. and Shaw , J. N. 2004 . Multispectral radiometer signatures for stress evaluation in compacted bermudagrass turf. . Hortscience , 39 : 403 – 407 .
   Google Scholar
• Hart , W. E. and Reynolds , W. N. 1965 . Analytical design of sprinkler systems. . Transactions of the American Society of Agricultural Engineers , 8 : 83 – 89 .
   Google Scholar
• Isaac , R. A. and Johnson , W. C. 1976 . Determination of total nitrogen in plant tissue using a block digestor. . Journal of AOAC International , 59 : 98 – 100 .
   Google Scholar
• Jiang , Y. , Carrow , R. N. and Duncan , R. R. 2003 . Correlation analysis procedures for canopy spectral reflectance data of seashore paspalum under traffic stress. . Journal of American Society of Hortscience , 128 : 343 – 348 .
   Web of Science ®Google Scholar
• Jones , K. J. , Lucas , L. T. and Shew , H. D. 1992 . Infrared image analysis of turf disease control experiments in North Carolina. . Phytopathology , 82 : 1122
   Google Scholar
• Li , H. , Lascano , R. J. , Barnes , E. M. , Booker , J. , Wilson , L. T. , Bronson , K. F. and Segarra , E. 2001 . Multispectral reflectance of cotton related to plant growth, soil water and texture, and site elevation. . Agronomy Journal , 93 : 1327 – 1337 .
   Web of Science ®Google Scholar
• Mallarino , A. P. , Oyarzabal , E. S. and Hinz , F. N. 1999 . Interpreting within‐field relationships between crop yields and plant variables using factor analysis. . Precision Agriculture , 1 : 15 – 25 .
   Google Scholar
• Moran , M. S. , Clarke , T. R. , Inoue , Y. and Vidal , A. 1994 . Estimating crop water deficit using the relation between surface–air temperature and spectral vegetation index. . Remote Sensing of Environment , 49 : 246 – 263 .
   Web of Science ®Google Scholar
• Neter , J. , Kutner , M. H. , Nachtsheim , C. J. and Wasserman , W. 1996 . Applied Linear Regression Models, , 3 , 6667 Chicago, IL : Richard D. Irwin, Inc. .
   Google Scholar
• Osborne , S. L. , Schepers , J. S. , Francis , D. D. and Schlemmer , M. R. 2002a . Detection of phosphorus and nitrogen deficiencies in corn using spectral radiance measurements. . Agronomy Journal , 94 : 1215 – 1221 .
   Web of Science ®Google Scholar
• Osborne , S. L. , Schepers , J. S. , Francis , D. D. and Schlemmer , M. R. 2002b . Use of spectral radiance to estimate in‐season biomass and grain yield in nitrogen‐ and water‐stressed corn. . Crop Science , 42 : 165 – 171 .
   PubMed Web of Science ®Google Scholar
• Peñuelas , J. , Filella , I. , Biel , C. , Serrano , L. and Save , R. 1993 . The reflectance at the 950–970 nm region as an indicator of plant water status. . International Journal of Remote Sensing , 14 : 1887 – 1905 .
   Web of Science ®Google Scholar
• Peñuelas , J. , Gamon , J. A. , Fredeen , A. L. , Merino , J. and Field , C. B. 1994 . Reflectance indices associated with physiological changes in nitrogen and water‐limited sunflower leaves. . Remote Sensing of Environment , 48 : 135 – 146 .
   Web of Science ®Google Scholar
• Peñuelas , J. , Filella , I. and Gamon , J. A. 1995 . Assessment of photosynthetic radiation‐use efficiency with spectral reflectance. . New Phytologist , 131 : 291 – 296 .
   Web of Science ®Google Scholar
• Penuelas , J. , Filella , I. , Serrano , L. and Save , R. 1996 . Cell wall elasticity and Water Index (R970nm/R900nm) in wheat under different nitrogen availabilities. . International Journal of Remote Sensing , 17 : 373 – 382 .
   Web of Science ®Google Scholar
• Peñuelas , J. , Isla , R. , Filella , I. and Araus , J. L. 1997a . Visible and near‐infrared reflectance assessment of salinity effects on barley. . Crop Science , 37 : 198 – 202 .
   Web of Science ®Google Scholar
• Penuelas , J. , Pinol , J. , Ogaya , R. and Filella , I. 1997b . Estimation of plant water concentration by the reflectance Water Index WI (R900/R970). . International Journal of Remote Sensing , 18 : 2869 – 2875 .
   Web of Science ®Google Scholar
• Stone , M. L. , Raun , W. R. , Johnson , G. V. , Solie , J. B. , Whitney , R. W. , Sembiring , H. , Laruffa , J. M. and Lukina , E. V. 1997 . Sensing nitrogen deficiencies in winter wheat and bermudagrass. . Better Crops , 81 : 15 – 19 .
   Google Scholar
• Thenot , F. , Methy , M. and Winkel , T. 2002 . The photochemical reflectance index (PRI) a water‐stress index. . International Journal of Remote Sensing , 23 : 5135 – 5139 .
   Web of Science ®Google Scholar
• Thenkabail , P. S. , Smith , R. B. and De Pauw , E. 2000 . Hyperspectral vegetation indices and their relationships with agricultural crop characteristics. . Remote Sensing of Environment , 7 : 158 – 182 .
   Google Scholar
• Trenholm , L. E. , Carrow , R. N. and Duncan , R. R. 1999a . Relationship of multispectral radiometry data to quantitative data in turfgrass research. . Crop Science , 39 : 763 – 769 .
   Web of Science ®Google Scholar
• Trenholm , L. E. , Duncan , R. R. and Carrow , R. N. 1999b . Wear tolerance, shoot performance, and spectral reflectance of seashore paspalum and bermudagrass. . Crop Science , 39 : 1147 – 1152 .
   Google Scholar
• Trenholm , L. E. , Schlossberg , M. J. , Lee , G. and Parks , W. 2000 . An evaluation of multi‐spectral responses on selected turfgrass species. . International Journal of Remote Sensing , 21 : 709 – 721 .
   Web of Science ®Google Scholar