Improving a pest management tool for scenario analysis of economic populations of Globodera pallida

Improving a pest management tool for scenario analysis of economic populations of Globodera pallida
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改进用于球囊藻经济种群情景分析的害虫管理工具

DOI:
10.1163/15685411-bja10138
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发表时间:
2021
期刊:
影响因子:
1.2
通讯作者:
Koehler A
Koehler A
中科院分区:
生物学3区
文献类型:
--
作者:
Koehler A

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马铃薯圆蚧是英国马铃薯最具破坏性的害虫。这项工作通过建议增加和修改其所需投入以及改变产量损失估计的基础,加强了一个完善的、基于网络的情景分析工具。休眠卵种群所需的年下降率是在个体田间样本水平上确定的,以帮助通过比较恢复的孢囊的活卵含量与相同投影面积的新形成的孢囊的活卵含量来确定所需的轮换长度。平均年下降率为20.4 ± 1.4%,但田间水平的年下降率范围为4.0 - 39.7%。进一步的变化是基于先前田间试验的荟萃分析。春季降雨量在该地区的领域是位于和品种的宽容影响产量损失。在田间试验中,许多英国马铃薯品种的耐受性很难确定,但用确定性整数代替它,可以避免不确定性而不造成损害。他们已经下定决心支持氮肥施用量的优化。多元线性回归估计,种植前种群多达20个活蛋(g土壤)-1所造成的损失在0.2%到2.0%(活蛋)-1(g土壤)-1之间,这取决于品种的确定性和春季降雨量。情景分析结果的可靠性需要在田间试验中进行验证,在田间试验中建议种植人口密度。
Globodera pallidais the most damaging pest of potato in the UK. This work underpins enhancement of a well-established, web-based scenario analysis tool for its management by recommending additions and modifications of its required inputs and a change in the basis of yield loss estimates. The required annual decline rate of the dormant egg population is determined at the individual field sample level to help define the required rotation length by comparing the viable egg content of recovered cysts to that of newly formed cysts for the same projected area. The mean annual decline was 20.4 ± 1.4% but ranged from 4.0 to 39.7% annum−1at the field level. Further changes were based on meta-analysis of previous field trials. Spring rainfall in the region where a field is located and cultivar tolerance influence yield loss. Tolerance has proved difficult to define for many UK potato cultivars in field trials but uncertainty can be avoided without detriment by replacing it with determinacy integers. They are already determined to support optimisation of nitrogen application rates. Multiple linear regression estimates that loss caused by pre-plant populations of up to 20 viable eggs (g soil)−1varies fromca0.2 to 2.0% (viable egg)−1(g soil)−1depending on cultivar determinacy and spring rainfall. Reliability of the outcomes from scenario analysis requires validation in field trials with population densities over which planting is advisable.