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Diagnosis of nutrient balances for fertilizer recommendations in cranberry crops

Diagnosis of nutrient balances for fertilizer recommendations in cranberry crops
诊断蔓越莓作物的养分平衡以提供肥料建议
批准号:
469358-2014
负责人:
Gumiere, Silvio
金额:
$7.61万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

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中文摘要
翻译
蔓越莓产业对魁北克的经济有很大的影响,年收入为1亿美元,创造了1200个就业机会。在过去的40年里,随着工程、机械、害虫管理、灌溉和浆果转化等方面的研发项目,该行业迅速发展。随着浆果产量的增加,北美市场的竞争变得更加激烈,欧盟市场也开放了。随着更严格的要求、更高的肥料成本和环境法规,该行业在营养管理和高质量浆果的可持续生产方面面临着新的挑战。营养管理仍然是基于专家知识和少数过去的田间试验,往往返回低到中等浆果产量。我们的目标是校准和验证营养诊断和建议量身定制的魁北克蔓越莓生产高产水平。假设其他养分供应充足,我们将建立四个永久性站点,其中N、P、K、Mg、B和Cu的添加量将有所不同(每个站点36个地块)。我们将收集土壤和植物样本,并测量产量组成部分(#直立、#开花直立、#开花直立、浆果产量和质量——花青素、硬度、糖含量)。组织组成的时间变化将在临近试验的地区进行监测。使用FT-NIR校准分析凋落物质量。组织和土壤模型将从使用全球和局部元数据和新的营养平衡概念的荟萃分析发展。将获得组织、土壤和产量调查数据,以便与组织和土壤养分模型进行比较。结果将记录在MAPAQ元文件中,供整个蔓越莓群落使用。
英文摘要
The cranberry industry has large economic impact in Quebec with annual revenues of 100 M $ and 1200 jobs created. The industry developed rapidly over the past 40 yr following R&D projects in engineering, mechanics, pest management, irrigation and berry transformation. As berry production increased, the North American market became more competitive and the EU market opened. With more stringent requirements, higher fertilizer costs and environmental regulation, the industry is facing new challenges in nutrient management and the sustainable production of high-quality berries. Nutrient management is still based on expert knowledge and a handful of past field experiments that often returned low to medium berry yields. Our objective is to calibrate and validate nutrient diagnosis and recommendation tailored to the Quebec cranberry production at high yield level. We will establish four permanent sites where N, P, K, Mg, B and Cu additions will be varied, assuming that other nutrients are in adequate supply (36 plots per site). We will collect soil and plant samples and measure yield components (# uprights, # flowers, # flowering uprights, berry yield and quality - anthocyanin, firmness, sugar content). Time change in tissue composition will be monitored in fields near trials. Litter quality will be analyzed using FT-NIR calibration. Tissue and soil models will be developed from meta-analysis using global and local metadata and novel nutrient balance concepts. Tissue, soil and yield survey data will be acquired for comparison with tissue and soil nutrient models. Results will be recorded in the MAPAQ metafile for use by the whole cranberry community.
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