Using a Simple Leaf Color Chart to Estimate Leaf and Canopy Chlorophyll a Content in Maize (Zea mays)

Communications in Soil Science and Plant Analysis

Volumn 46, Issue 21, 2015, Pages 2734-2745

  Nguy Robertson, Anthony ^a   Peng, Yi ^a,b   Arkebauer, Timothy ^c   Scoby, David ^c   Schepers, James ^c   Gitelson, Anatoly ^a,d  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^b WUHAN UNIVERSITY   (China)

^c UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^d TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

Leaf area index; MERIS; remote sensing; SPAD; stalk nitrate test; vegetation indices

Indexed keywords

CANOPY REFLECTANCE; CHLOROPHYLL A; COLOR MORPH; ERROR ANALYSIS; FERTILIZER APPLICATION; LEAF AREA INDEX; LEAF MORPHOLOGY; MAIZE; MERIS; NITRATE; RADIOMETER; REMOTE SENSING; SATELLITE IMAGERY; SENSOR; VEGETATION INDEX;

MEAD; NEBRASKA; UNITED STATES;

ZEA MAYS;

EID: 84948714690     PISSN: 00103624     EISSN: 15322416     Source Type: Journal    
DOI: 10.1080/00103624.2015.1093639     Document Type: Article

References (33)

1. T.M.Blackmer,, and J.S.Schepers. 1994. Techniques for monitoring crop nitrogen status in corn. Communications in Soil Science and Plant Analysis 25 (9–10):1791–800. doi:10.1080/00103629409369153.
2. S.M.Brouder,, D.B.Mengel, and B.S.Hofmann. 2000. Diagnostic efficiency of the blacklayer stalk nitrate and grain nitrogen tests for corn. Agronomy Journal 92 (6):1236. doi:10.2134/agronj2000.9261236x.
3. K.G.Cassman,, A.Dobermann, and D.T.Walters. 2002. Agroecosystems, nitrogen-use efficiency, and nitrogen management. AMBIO: A Journal of the Human Environment 31 (2):132–40. doi:10.1579/0044-7447-31.2.132.
4. F.Castelli,, R.Contillo, and F.Miceli. 1996. Non-destructive determination of leaf chlorophyll content in four crop species. Journal of Agronomy and Crop Science 177 (4):275–83. doi:10.1111/j.1439-037X.1996.tb00246.x.
5. V.S.Ciganda,, A.A.Gitelson, and J.Schepers. 2008. Vertical profile and temporal variation of chlorophyll in maize canopy: Quantitative “crop vigor” indicator by means of reflectance-based techniques. Agronomy Journal 100 (5):1409. doi:10.2134/agronj2007.0322.
6. V.S.Ciganda,, A.A.Gitelson, and J.Schepers. 2009. Non-destructive determination of maize leaf and canopy chlorophyll content. Journal of Plant Physiology 166 (2):157–67. doi:10.1016/j.jplph.2008.03.004.
7. J.Dash,, and P.J.Curran. 2004. The MERIS terrestrial chlorophyll index. International Journal of Remote Sensing 25 (23):5403–13. doi:10.1080/0143116042000274015.
8. J.Dash,, P.J.Curran, M.J.Tallis, G.M.Llewellyn, G.Taylor, and P.Snoeij. 2010. Validating the MERIS Terrestrial Chlorophyll Index (MTCI) with ground chlorophyll content data at MERIS spatial resolution. International Journal of Remote Sensing 31 (20):5513–32. doi:10.1080/01431160903376340.
9. W.K.Dodds, 2006. Nutrients and the “dead zone”: The link between nutrient ratios and dissolved oxygen in the northern Gulf of Mexico. Frontiers in Ecology and the Environment 4 (4):211–17. doi:10.1890/1540-9295(2006)004[0211:NATDZT]2.0.CO;2.
10. Q.X.Fang,, L.Ma, Q.Yu, C.S.Hu, X.X.Li, R.W.Malone, and L.R.Ahuja. 2013. Quantifying climate and management effects on regional crop yield and nitrogen leaching in the North China Plain. Journal of Environment Quality 42 (5):1466–79. doi:10.2134/jeq2013.03.0086.
11. A.A.Gitelson,, C.Buschmann, and H.K.Lichtenthaler. 1998. Leaf chlorophyll fluorescence corrected for re-absorption by means of absorption and reflectance measurements. Journal of Plant Physiology 152 (2–3):283–96. doi:10.1016/S0176-1617(98)80143-0.
12. A.A.Gitelson,, A.Viña, T.J.Arkebauer, D.C.Rundquist, G.P.Keydan, and B.Leavitt. 2003. Remote estimation of leaf area index and green leaf biomass in maize canopies. Geophysical Research Letters 30 (5):1248. doi:10.1029/2002GL016450.
13. A.A.Gitelson,, A.Viña, V.S.Ciganda, D.C.Rundquist, and T.J.Arkebauer. 2005. Remote estimation of canopy chlorophyll content in crops. Geophysical Research Letters 32 (8):L08403. doi:10.1029/2005GL022688.
14. L.Guanter,, M.Del Carmen González-Sanpedro, and J.Moreno. 2007. A method for the atmospheric correction of ENVISAT/MERIS data over land targets. International Journal of Remote Sensing 28 (3–4):709–28. doi:10.1080/01431160600815525.
15. M.Haripriya Anand,, and G.Byju. 2008. Chlorophyll meter and leaf colour chart to estimate chlorophyll content, leaf colour, and yield of cassava. Photosynthetica 46 (4):511–16. doi:10.1007/s11099-008-0087-8.
16. J.M.Jemison,, and R.H.Fox. 1988. A quick-test procedure for soil and plant tissue nitrates using test strips and a hand-held reflectometer 1. Communications in Soil Science and Plant Analysis 19 (14):1569–82. doi:10.1080/00103628809368035.
17. J.H.Lales,, A.A.Corpuz, and R.T.Cruz. 2010. The comparison of system of rice intensification, leaf color chart-based nitrogen management, and growth stage-based nitrogen for yield and ROI. Philippine Journal of Crop Science 35 (3):50–56.
18. J.Markwell,, J.C.Osterman, and J.L.Mitchell. 1995. Calibration of the Minolta SPAD-502 leaf chlorophyll meter. Photosynthesis Research 46 (3):467–72. doi:10.1007/BF00032301.
19. A.L.Nguy-Robertson,, A.A.Gitelson, Y.Peng, E.A.Walter-Shea, B.Leavitt, and T.J.Arkebauer. 2013. Continuous monitoring of crop reflectance, vegetation fraction, and identification of developmental stages using a four-band radiometer. Agronomy Journal 105 (6):1769. doi:10.2134/agronj2013.0242.
20. Y.Peng,, A.A.Gitelson, G.P.Keydan, D.C.Rundquist, and W.Moses. 2011. Remote estimation of gross primary production in maize and support for a new paradigm based on total crop chlorophyll content. Remote Sensing of Environment 115 (4):978–89. doi:10.1016/j.rse.2010.12.001.
21. D.C.Rundquist,, R.Perk, B.Leavitt, G.P.Keydan, and A.A.Gitelson. 2004. Collecting spectral data over cropland vegetation using machine-positioning versus hand-positioning of the sensor. Computers and Electronics in Agriculture 43 (2):173–78. doi:10.1016/j.compag.2003.11.002.
22. T.Sakamoto,, A.A.Gitelson, A.L.Nguy-Robertson, T.J.Arkebauer, B.D.Wardlow, A.E.Suyker, S.B.Verma, and M.Shibayama. 2012. An alternative method using digital cameras for continuous monitoring of crop status. Agricultural and Forest Meteorology 154–155, 113–126. doi:10.1016/j.agrformet.2011.10.014.
23. M.Schlemmer,, A.A.Gitelson, J.Schepers, R.Ferguson, Y.Peng, J.Shanahan, and D.Rundquist. 2013. Remote estimation of nitrogen and chlorophyll contents in maize at leaf and canopy levels. International Journal of Applied Earth Observation and Geoinformation 25:47–54. doi:10.1016/j.jag.2013.04.003.
24. A.K.Shukla,, J.K.Ladha, V.K.Singh, B.S.Dwivedi, V.Balasubramanian, R.K.Gupta, S.K.Sharma, Y.Singh, H.Pathak, P.S.Pandey, A.T.Padre, and R.L.Yadav. 2004. Calibrating the leaf color chart for nitrogen management in different genotypes of rice and wheat in a systems perspective. Agronomy Journal 96 (6):1606. doi:10.2134/agronj2004.1606.
25. B.Singh,, Y.Singh, J.K.Ladha, K.F.Bronson, V.Balasubramanian, J.Singh, and C.S.Khind. 1980. Chlorophyll meter– and leaf color chart–based nitrogen management for rice and wheat in Northwestern India. Agronomy Journal 94 (4):821–29. doi:10.213/agronj2002.8210.
26. A.E.Suyker,, S.B.Verma, G.G.Burba, and T.J.Arkebauer. 2005. Gross primary production and ecosystem respiration of irrigated maize and irrigated soybean during a growing season. Agricultural and Forest Meteorology 131 (3–4):180–90. doi:10.1016/j.agrformet.2005.05.007.
27. M.Takebe,, T.Yoneyama, and N.Agriculture. 1989. Measurement of leaf color scores and its implication to nitrogen nutrition of rice plants. Japan Agricultural Research Quarterly 23 (2):86–93.
28. H.S.Thind,, A.Kumar, and M.Vashistha. 2011. Calibrating the leaf colour chart for need based fertilizer nitrogen management in different maize (Zea mays L.) genotypes. Field Crops Research 120 (2):276–82. doi:10.1016/j.fcr.2010.10.014.
29. J.Uddling,, J.Gelang-Alfredsson, K.Piikki, and H.Pleijel. 2007. Evaluating the relationship between leaf chlorophyll concentration and SPAD-502 chlorophyll meter readings. Photosynthesis Research 91 (1):37–46. doi:10.1007/s11120-006-9077-5.
30. V.-S.Varinderpal-Singh,, B.-S.Yadivnder-Singh, Y.-S.Gupta, H.S.Thind, and R.K.Gupta. 2010. Need based nitrogen management using the chlorophyll meter and leaf colour chart in rice and wheat in South Asia: A review. Nutrient Cycling in Agroecosystems 88 (3):361–80. doi:10.1007/s10705-010-9363-7.
31. G.E.Varvel,, J.S.Schepers, and D.D.Francis. 1997. Chlorophyll meter and stalk nitrate techniques as complementary indices for residual nitrogen. Journal of Production Agriculture 10 (1):147. doi:10.2134/jpa1997.0147.
32. C.Wu,, X.Han, Z.Niu, and J.Dong. 2010. An evaluation of EO-1 hyperspectral Hyperion data for chlorophyll content and leaf area index estimation. International Journal of Remote Sensing 31 (4):1079–86. doi:10.1080/01431160903252335.
33. C.Wu,, Z.Niu, Q.Tang, W.Huang, B.Rivard, and J.Feng. 2009. Remote estimation of gross primary production in wheat using chlorophyll-related vegetation indices. Agricultural and Forest Meteorology 149 (6–7):1015–21. doi:10.1016/j.agrformet.2008.12.007.