Please use this identifier to cite or link to this item: https://hdl.handle.net/10646/1411
Title: Spectral indices: In-season dry mass and yield relationship of flue-cured tobacco under different planting dates and fertiliser levels
Authors: Svotwa, Ezekia
Masuka, Anxious
Maasdorp, Barbara
Murwira, Amon
esvotwa2@gmail.com
Keywords: Remote sensing
Spatial information
Crop yield
Spectral indices
Tobacco planting
Issue Date: 13-Aug-2013
Publisher: Hindawi
Citation: Svotwa, E., Masuka, J., Maasdorp, B., & Murwira, A. (2013). Spectral Indices: In-Season Dry Mass and Yield Relationship of Flue-Cured Tobacco under Different Planting Dates and Fertiliser Levels. ISRN Agronomy, 2013. Retrieved from http://downloads.hindawi.com/journals/isrn.agronomy/2013/816767.pdf
Abstract: This experiment investigated the relationship between tobacco canopy spectral characteristics and tobacco biomass. A completely randomized design, with plantings on the 15th of September, October, November, and December, each with 9 variety × fertiliser management treatments, was used. Starting from6 weeks after planting, reflectance measurements were taken fromone row, using a multispectral radiometer. Individual plants from the other 3 rows were also measured, and the above ground whole plants were harvested and dried for reflectance/dry mass regression analysis. The central row was harvested, cured, and weighed. Both the maximum NDVI and mass at untying declined with later planting and so was the mass-NDVI coefficient of determination. The best fitting curves for the yield-NDVI correlations were quadratic. September reflectance values from the October crop reflectance were statistically similar (𝑃 > 0.05), while those for the November and the December crops were significantly different (𝑃 < 0.05) fromthe former two.Mass at untying andNDVI showed a quadratic relationship in all the three tested varieties.Theoptimum stage for collecting spectral data for tobacco yield estimation was the 8–12 weeks after planting.The results could be useful in accurate monitoring of crop development patterns for yield forecasting purposes.
URI: http://hdl.handle.net/10646/1411
ISSN: 816767
Appears in Collections:Geography Staff Publications

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