Predicting weed and lowbush blueberry biomass using the point intercept method-Reference-Cited by-同舟云学术

Predicting weed and lowbush blueberry biomass using the point intercept method

Published:2018-08-01 Issue:4 Volume:98 Page:967-970
ISSN:0008-4220
Container-title:Canadian Journal of Plant Science
language:en
Short-container-title:Can. J. Plant Sci.

Author:

Lévesque Josée-Anne¹,Bradley Robert L.²,Bellemare Mireille³,Lafond Jean⁴,Paré Maxime C.¹

Affiliation:

1. Département des sciences fondamentales, Université du Québec à Chicoutimi, Saguenay, QC G7H 2B1, Canada.

2. Département de Biologie, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada.

3. Club Conseil Bleuet, Dolbeau-Mistassini, QC G8L 4W4, Canada.

4. Soils and Crops Research and Development Centre, Agriculture and Agri-Food Canada, Normandin, QC G8M 4K3, Canada.

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.

Publisher

Canadian Science Publishing

Subject

Horticulture,Plant Science,Agronomy and Crop Science

Link

http://www.nrcresearchpress.com/doi/pdf/10.1139/cjps-2017-0201

Reference8 articles.

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4. Plant Responses to Species Removal and Experimental Warming in Alaskan Tussock Tundra

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