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氟吡菌酰胺拌种处理对抑制作物猝死综合症和保护大豆产量的效益和盈利性:一项荟萃分析。

Benefits and Profitability of Fluopyram-Amended Seed Treatments for Suppressing Sudden Death Syndrome and Protecting Soybean Yield: A Meta-Analysis.

机构信息

Department of Plant Pathology and Microbiology, Iowa State University, Ames 50011.

Crop Science Division, Bayer CropScience LP, Research Triangle Park, NC 27709.

出版信息

Plant Dis. 2018 Jun;102(6):1093-1100. doi: 10.1094/PDIS-10-17-1540-RE. Epub 2018 Mar 28.

Abstract

A meta-analytic approach was used to summarize data on the effects of fluopyram-amended seed treatment on sudden death syndrome (SDS) and yield of soybean (Glycine max L.) in over 200 field trials conducted in 12 U.S. states and Ontario, Canada from 2013 to 2015. In those trials, two treatments-the commercial base (CB), and CB plus fluopyram (CBF)-were tested, and all disease and yield data were combined to conduct a random-effects and mixed-effects meta-analysis (test of moderators) to estimate percent control and yield response relative to CB. Overall, a 35% reduction in foliar disease and 295 kg/ha (7.6%) increase in yield were estimated for CBF relative to CB. Sowing date and geographic region affected both estimates. The variation in yield response was explained partially by disease severity (19%), geographic region (8%), and sowing date (10%) but not by the resistance level of the cultivar. The probability of not offsetting the cost of fluopyram was estimated on a range of grain prices and treatment cost combinations. There was a high probability (>80%) of yield gains when disease level was high in any cost-price combinations tested but very low when the foliar symptoms of the disease were absent.

摘要

采用荟萃分析方法,汇总了 2013 年至 2015 年期间在美国 12 个州和加拿大安大略省进行的 200 多次田间试验中,氟吡菌胺拌种处理对大豆猝死综合征(SDS)和产量的影响数据。在这些试验中,测试了两种处理方法-商业基础(CB)和 CB 加氟吡菌胺(CBF)-并综合所有疾病和产量数据进行了随机效应和混合效应荟萃分析(检验调节剂),以估计相对于 CB 的疾病控制率和产量反应。总体而言,与 CB 相比,CBF 估计可减少 35%的叶部病害,并增加 295 公斤/公顷(7.6%)的产量。播种日期和地理位置均影响这两个估计值。产量响应的变化部分由疾病严重程度(19%)、地理位置(8%)和播种日期(10%)解释,但与品种的抗性水平无关。在一系列谷物价格和处理成本组合下,估计了不抵消氟吡菌胺成本的概率。在测试的任何成本-价格组合中,当疾病水平较高时,产量增加的可能性很高(>80%),但当叶片症状不存在时,可能性非常低。

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