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利用产量响应曲线来衡量小麦品种对镰刀菌顶腐病的耐性和抗性的变化。

Using Yield Response Curves to Measure Variation in the Tolerance and Resistance of Wheat Cultivars to Fusarium Crown Rot.

机构信息

1 Department of Agriculture and Fisheries, Leslie Research Facility, Toowoomba, Queensland 4350, Australia; and.

2 New South Wales Department of Primary Industries, Tamworth, New South Wales 2340, Australia.

出版信息

Phytopathology. 2019 Jun;109(6):932-941. doi: 10.1094/PHYTO-09-18-0354-R. Epub 2019 May 8.

Abstract

The disease crown rot, caused predominantly by the fungal pathogen , is a major disease of winter cereals in many regions of the world, including Australia. A methodology is proposed, using response curves, to robustly estimate the relationship between grain yield and increasing crown rot pathogen burdens. Using data from a field experiment conducted in northern New South Wales, Australia in 2016, response curves were derived for five commercial wheat cultivars exposed to six increasing rates of crown rot inoculum, where the rates served to establish a range of crown rot pathogen burdens. In this way, the response curve methodology is fundamentally different from alternate approaches that rely on genetic or environmental variation to establish a range in pathogen burdens over which yield loss relationships are estimated. By manipulating only the rates of crown rot inoculum and, thus, pathogen burden directly, the number of additional confounding factors and interactions are minimized, enabling the robust estimation of the rate of change in yield due to increasing crown rot pathogen burdens for each cultivar. The methodology revealed variation in the rate of change in yield between cultivars, along with the extent of crown rot symptoms expressed by the cultivars. Variation in the rate of change in yield between cultivars provides definitive evidence of differences in the tolerance of commercial Australian wheat cultivars to crown rot caused by , while variation in the extent of crown rot symptoms signifies differences in the resistance of the cultivars to this disease. The response curve methodology also revealed variation in how the different mechanisms of tolerance and resistance act to limit yield losses due to crown rot for different cultivars.

摘要

病害顶腐病主要由真菌病原体引起,是世界上许多地区(包括澳大利亚)冬小麦的主要病害。本文提出了一种使用响应曲线的方法,能够稳健地估计谷物产量与顶腐病病原体负担增加之间的关系。利用 2016 年在澳大利亚新南威尔士州北部进行的田间试验数据,为五种商业小麦品种在暴露于六种不同顶腐病接种物率的情况下得出了响应曲线,接种物率用于建立一系列顶腐病病原体负担。通过这种方式,响应曲线方法从根本上不同于依赖遗传或环境变化来建立病原体负担范围的替代方法,从而估计产量损失关系。通过仅操纵顶腐病接种物的速率,从而直接操纵病原体负担,最大限度地减少了额外的混杂因素和相互作用的数量,从而能够稳健地估计每个品种由于顶腐病病原体负担增加而导致产量变化的速率。该方法揭示了品种之间产量变化率的差异,以及品种表现出的顶腐病症状的严重程度。品种之间产量变化率的差异提供了明确的证据,证明商业澳大利亚小麦品种对 引起的顶腐病的耐受性存在差异,而顶腐病症状严重程度的差异则表明品种对该病害的抗性存在差异。响应曲线方法还揭示了不同的耐受和抗性机制如何作用以限制不同品种因顶腐病而导致的产量损失。

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