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Nicolas Tremblay

Researcher at Agriculture and Agri-Food Canada

Publications -  128
Citations -  6442

Nicolas Tremblay is an academic researcher from Agriculture and Agri-Food Canada. The author has contributed to research in topics: Fertilizer & Chlorophyll. The author has an hindex of 37, co-authored 125 publications receiving 5572 citations. Previous affiliations of Nicolas Tremblay include Laval University.

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Journal ArticleDOI

Corn yield components response to nitrogen fertilizer as a function of soil texture

TL;DR: In this paper, the authors conducted a study at 12-site yr in Quebec to assess the effect of N rate and soil surface textural groups [clay, loam, sandy belonging to the gleysolic soil order (Sg), and sandy belonging in the podzolic soil ordering (Sp)] on corn grain yield, stover yield, total N uptake (TNU), nitrogen uptake efficiency (NUE), thousand kernel weight (TKW), test weight, and chlorophyll meter readings (CMR).
Proceedings ArticleDOI

Fluorescence explorer (FLEX): an optimised payload to map vegetation photosynthesis from space

Jose Moreno, +77 more
TL;DR: The FLuorescence EXplorer (FLEX) mission as discussed by the authors proposes to launch a satellite for the global monitoring of steady-state chlorophyll fluorescence in terrestrial vegetation, which is a powerful non-invasive tool to track the status, resilience, and recovery of photochemical processes and moreover provides important information on overall photosynthetic performance with implications for related carbon sequestration.
Journal ArticleDOI

Guidelines for in-season nitrogen application for maize (Zea mays L.) based on soil and terrain properties

TL;DR: In this paper, the effects of the relationship among field, apparent soil electrical conductivity (ECa), elevation, slope and seasonal characteristics on maize growth were investigated over three years (2005-2007).
Journal ArticleDOI

Model comparison of soil processes in eastern Canada using DayCent, DNDC and STICS

TL;DR: In this article, three sites in eastern Canada (St Bruno, St Jean, and Ottawa) were used to evaluate and compare the water and N process simulations of the models DayCent, DNDC, and STICS.