平榛气候品质评价技术与方法

Technology and Methods in Climate Quality Assessment of Corylus heterophylla Fisch.

依据乌伊岭(2008-2018年)、嘉荫(2014-2018年)、新林(2016-2018年)三地平榛产量和品质、灾情资料以及气温、降水、日照等气象资料,通过专家论证、对比分析,研究确定了平榛气候品质评价关键影响因子和技术指标,采用指数加权求和法,建立了平榛气候品质评价指数模型。结果表明:影响平榛气候品质的关键影响因子有5个,分别是开花期冻害、年日照时间、初霜冻、病害、虫害;采用专家决策打分法确定权重系数分别为0.15、0.30、0.15、0.20、0.20;依据平榛气候品质评价模型计算的历史拟合正确率达到了89%,而且可以借助相关软件实现,操作性强,具有较高的实用性,将为黑龙江省平榛气候品质评价和认证工作提供技术支撑,以提升平榛附加值和市场竞争力。

With the data of yield and quality, disaster situation, temperature, precipitation, sunshine and other meteorological data of hazelnut in Wuyiling(2008-2018), Jiayin(2014-2018) and Xinlin(2016-2018), we determined the technical indicators and key factors affecting climate quality evaluation of H. by expert demonstration and comparative analysis, andestablishedan index model for evaluating climate quality of hazelnut by exponential weighted summation method. There were five key factors affecting the climate quality of hazelnut including frost damage at flowering stage, sunshine hours per year, frost, and diseases and insect pests. The weight coefficients determined by expert decision scoring method were 0.15, 0.30, 0.15, 0.20 and 0.20;the accuracy rate of the historical fitting reached 89% with the climate quality assessment model of hazelnut. Our study has strong operability and high practicability, would provide technical support for climate quality evaluation and certification of Hazelnut in Heilongjiang Province, andwould enhance its additional values and market competitiveness.