Predicting weed and lowbush blueberry biomass using the point intercept method

Citation

Lévesque, J.A., Bradley, R.L., Bellemare, M., Lafond, J., Paré, M.C. (2018). Predicting weed and lowbush blueberry biomass using the point intercept method. Canadian Journal of Plant Science, [online] 98(4), 967-970. http://dx.doi.org/10.1139/cjps-2017-0201

Plain language summary

Lowbush blueberry is an important crop in Quebec, primarily in the Saguenay-Lac-St-Jean region. To properly evaluate the impact of agricultural practices on blueberry plant growth, destructive sampling of plants is required. A non-destructive method was developed to circumvent this problem. The method consists of identifying the plants (blueberry or other species) touching a point at each intercept point of a 1 m x 1 m grid (i.e. 100 points). This method has proven to be a simple and reliable technique for estimating fruit yield and aboveground biomass of blueberry and other plant species.

Abstract

Lowbush blueberry is an important crop in the Saguenay–Lac-Saint-Jean region of Quebec. Accurate evaluation of agronomic practices currently requires destructive sampling and loss of productive fields. We showed that the point intercept method is a rapid and reliable nondestructive alternative for predicting biomass and yield of lowbush blueberry and competing species.

Publication date

2018-01-01

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