Description
The growth of a crop is generally described as biomass accumulation per unit time. Monteith (1977) developed a model of growth where biomass accumulation is related to solar radiation intercepted by the crop. This model has been largely used for different crops. The conversion factor between radiation absorbed or intercepted by the crop and the biomass production is called “radiation use efficiency” or “dry matter radiation quotient”. Radiation use efficiency (RUE) is usually calculated as the regression coefficient of the linear relationship between crop biomass measured repeatedly during growth and cumulated intercepted or absorbed solar radiation. Demetriades-Shah et al. (1992) criticised this method because the strong correlation between two sets of cumulative data has no statistical value. Other authors did not agree with these critics. In this paper, we tried to measure the significance of the relation between biomass and photosynthetically active radiation absorbed (PARa) by a grass crop using a non-cumulative and independent data set.
Citation
Lambert, R. and Peeters, A., "Radiation Use Efficiency of Ryegrass: Determination With Non Cumulative Data" (2023). IGC Proceedings (1993-2023). 74.
https://uknowledge.uky.edu/igc/20/satellitesymposium4/74
Included in
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Radiation Use Efficiency of Ryegrass: Determination With Non Cumulative Data
The growth of a crop is generally described as biomass accumulation per unit time. Monteith (1977) developed a model of growth where biomass accumulation is related to solar radiation intercepted by the crop. This model has been largely used for different crops. The conversion factor between radiation absorbed or intercepted by the crop and the biomass production is called “radiation use efficiency” or “dry matter radiation quotient”. Radiation use efficiency (RUE) is usually calculated as the regression coefficient of the linear relationship between crop biomass measured repeatedly during growth and cumulated intercepted or absorbed solar radiation. Demetriades-Shah et al. (1992) criticised this method because the strong correlation between two sets of cumulative data has no statistical value. Other authors did not agree with these critics. In this paper, we tried to measure the significance of the relation between biomass and photosynthetically active radiation absorbed (PARa) by a grass crop using a non-cumulative and independent data set.
