Publication Date
1997
Description
Light partitioning in a grass-clover mixture was studied using a general competition model. The model assumes a fixed extinction coefficient (k) and no leaf dispersion. This was compared with modelling the effect of different k of both species over height as well as the effect of type of leaf dispersion. These new assumptions led to a better estimation of the light partitioning between both species. For grass the effect of variable k and leaf dispersion was similar and in both cases the total absorbed light was lower than under default conditions. For clover the new assumptions led to a higher absorbed radiation than in the original model. However, in this case the effect of leaf dispersion was more important.
Citation
Nassiri, M and Elgersma, A, "Modelling the Effect of a Variable Light Extinction Coefficient and Leaf Dispersion on Light Partitioning Between Species in a Grass-Clover Mixture" (2024). IGC Proceedings (1993-2023). 40.
https://uknowledge.uky.edu/igc/1997/session7/40
Included in
Agricultural Science Commons, Agronomy and Crop Sciences Commons, Plant Biology Commons, Plant Pathology Commons, Soil Science Commons, Weed Science Commons
Modelling the Effect of a Variable Light Extinction Coefficient and Leaf Dispersion on Light Partitioning Between Species in a Grass-Clover Mixture
Light partitioning in a grass-clover mixture was studied using a general competition model. The model assumes a fixed extinction coefficient (k) and no leaf dispersion. This was compared with modelling the effect of different k of both species over height as well as the effect of type of leaf dispersion. These new assumptions led to a better estimation of the light partitioning between both species. For grass the effect of variable k and leaf dispersion was similar and in both cases the total absorbed light was lower than under default conditions. For clover the new assumptions led to a higher absorbed radiation than in the original model. However, in this case the effect of leaf dispersion was more important.
