Estimating wheat yield with normalized difference vegetation index and fractional green canopy cover

Crop, Forage and Turfgrass Management

Volumn 4, Issue 1, 2018, Pages

  Goodwin, Allen W ^a   Lindsey, Laura E ^a   Harrison, Steven K ^a   Paul, Pierce A ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85057460007     PISSN: None     EISSN: 23743832     Source Type: Journal    
DOI: 10.2134/cftm2018.04.0026     Document Type: Article

References (25)

1. Abdelaziz, R., L.D. Purell, T.L. Roberts, and C.E. Greub. 2018. Predicting nitrogen requirements for maize with dark green color index under experimental conditions. Agron. J. 110:1173-1179. doi:10.2134/agronj2017.09.0543
2. Bannari, A., D. Morin, F. Bonn, and A.R. Huete. 1995. A review of vegetation indices. Remote Sens. Rev. 13:95-120. doi:10.1080/02757259509532298
3. Büchi, L., M. Wendling, P. Mouly, and R. Charles. 2018. Comparison of visual assessment and digital image analysis for canopy cover estimation. Agron. J. 110:1289-1295. doi:10.2134/agronj2017.11.0679
4. Candiago, S., F. Remondino, M. De Giglio, M. Dubbini, and M. Gattelli. 2015. Evaluating multispectral images and vegetation indices for precision farming applications from UAV images. Remote Sens. 7:4026-4047. doi:10.3390/rs70404026
5. Carlson, T.N., and D.A. Ripley. 1997. On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sens. Environ. 62:241-252. doi:10.1016/S0034-4257(97)00104-1
6. Casadesús, J., Y. Kaya, J. Bort, M.M. Nachit, J.L. Araus, S. Amor, G. Ferrazzano, F. Maalouf, M. Maccaferri, V. Martos, H. Ouabbou, and D. Villegas. 2007. Using vegetation indices derived from conventional digital cameras as selection criteria for wheat breeding in water-limited environments. Ann. Appl. Biol. 150:227-236. doi:10.1111/j.1744-7348.2007.00116.x
7. Chung, Y.S., S.C. Choi, R. Rodrigues Silva, J.W. Kang, J.H. Eom, and C. Kim. 2017. Case study: Estimation of sorghum biomass using digital image analysis with Canopeo. Biomass Bioenergy 105:207-210. doi:10.1016/j.biombioe.2017.06.027
8. Dickin, E., and D. Wright. 2008. The effects of winter waterlogging and summer drought on the growth and yield of winter wheat (Triticum aestivum L.). Eur. J. Agron. 28:234-244. doi:10.1016/j.eja.2007.07.010
9. Flowers, M., R. Weisz, and R. Heiniger. 2001. Remote sensing of winter wheat tiller density for early nitrogen application decisions. Agron. J. 93:783-789. doi:10.2134/agronj2001.934783x
10. Fowler, D.B., and L.V. Gusta. 1979. Selection for winter hardiness in wheat. I. Identification of genotypic variability. Crop Sci. 19:769-772. doi:10.2135/cropsci1979.0011183X001900060005x
11. Lafond, G.P. 1994. Effects of row spacing, seeding rate and nitrogen on yield of barley and wheat under zero-till management. Can. J. Plant Sci. 74:703-711. doi:10.4141/cjps94-127
12. Lee, C., J. Herbeck, D. Van Sanford, and W. Bruening. 2009. Cultural practices. In: A comprehensive guide to wheat management in Kentucky. ID-125. University of Kentucky Cooperative Extension Service. p. 13-19
13. Lindsey, L.E., P. Paul, and E. Lentz. 2017. Wheat growth stages and associated management. Ohio State University Extension FactSheet AFG-126. https://ohioline.osu.edu/factsheet/agf-126 (accessed 5 June 2018)
14. Lukina, E.V., M.L. Stone, and W.R. Raun. 1999. Estimating vegetation coverage in wheat using digital images. J. Plant Nutr. 22:341-350. doi:10.1080/01904169909365631
15. Nafziger, E. 2009. Small grains and grain sorghum. In: Illinois agronomy handbook, 24th ed. Crop Science Extension and Outreach. University of Illinois at Urbana-Champaign, Urbana, IL. http://extension.cropsciences.illinois.edu/handbook/ (accessed 14 Mar. 2018). p. 37-47
16. Nielsen, D.C., and A.D. Halvorson. 1991. Nitrogen fertility influence on water stress and yield of winter wheat. Agron. J. 83:1065-1070. doi:10.2134/agronj1991.00021962008300060025x
17. Patrignani, A., and T.E. Ochsner. 2015. Canopeo: A powerful new tool for measuring fractional green canopy cover. Agron. J. 107:2312-2320. doi:10.2134/agronj15.0150
18. Phillips, S.B., D.A. Keahey, J.G. Warren, and G.L. Mullins. 2004. Estimating winter wheat tiller density using spectral reflectance sensors for early-spring, variable rate nitrogen applications. Agron. J. 96:591-600. doi:10.2134/agronj2004.0591
19. Porter, P.M., and A. Khalilian. 1995. Wheat response to row spacing in relay intercropping systems. Agron. J. 87:999-1003. doi:10.2134/agronj1995.00021962008700050038x
20. Samborski, S.M., D. Gozdowski, O.S. Walsh, D.W. Lamb, M. Stepien, E.S. Gacek, and T. Drzazga. 2015. Winter wheat genotype effects on canopy reflectance: Implications for using NDVI for in-season nitrogen topdressing recommendations. Agron. J. 107:2097-2106. doi:10.2134/agronj14.0323
21. Scotford, I.M., and P.C.H. Miller. 2005. Applications of spectral reflectance techniques in northern European cereal production: A review. Biosys. Eng. 90:235-250. doi:10.1016/j.biosystemseng.2004.11.010
22. Serrano, L., I. Filella, and J. Penuelas. 2000. Remote sensing of biomass and yield of winter wheat under different nitrogen supplies. Crop Sci. 40:723-731. doi:10.2135/cropsci2000.403723x
23. Ulaby, F.T., C.T. Allen, and G. Eger, III. 1984. Relating the microwave backscattering coefficient to leaf area index. Remote Sens. Environ. 14:113-133. doi:10.1016/0034-4257(84)90010-5
24. USDA National Agricultural Statistics Service (USDA-NASS). 2017. Quick Stats. USDA-NASS, Washington, DC. https://quickstats.nass.usda.gov/. (accessed 6 July 2017)
25. Weisz, R., C.R. Crozier, and R.W. Heiniger. 2001. Optimizing nitrogen application timing in no-till soft red winter wheat. Agron. J. 93:435-442. doi:10.2134/agronj2001.932435x