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华莱士瓜含糖率农业气象指标与气候品质评价
引用本文:于亮亮,孔德胤,高培德,包佳婧,孔鸣川. 华莱士瓜含糖率农业气象指标与气候品质评价[J]. 中国农学通报, 2022, 38(34): 102-106. DOI: 10.11924/j.issn.1000-6850.casb2022-0172
作者姓名:于亮亮  孔德胤  高培德  包佳婧  孔鸣川
作者单位:1.内蒙古巴彦淖尔市气象局,内蒙古巴彦淖尔 015000;2.内蒙古巴彦淖尔市农业气象试验站,内蒙古巴彦淖尔 015000;3.内蒙古磴口县华莱士瓜研究所,内蒙古磴口 015200
基金项目:公益性行业专项“河套灌区主要农作物农业气象条件预评估技术研究”(GYHY20120621)
摘    要:华莱士瓜含糖率农业气象指标体系,是定量评价其品质优劣的基础,更是华莱士瓜农业气象业务服务的基础。在解释华莱士瓜农业气象指标内涵的基础上,参照华莱士瓜农业气象指标体系构建的通则,综合农业气象指标研究方法的优缺点,确定关键生育期温度、水分、湿度、蒸发等农业气象指标。20个通过0.01显著水平检验的因子,6个通过0.05显著水平检验的因子。所选因子生物学意义与农业气象学意义明显,符合生产实际。将所有指标划分为最适宜、次适宜、不适宜。便于农业气象服务工作开展。评估模型通过0.01的显著性检验,拟合率达94.4%,拟合效果较好,可用于华莱士瓜品质评估。

关 键 词:华莱士瓜  含糖率  气象指标  气候品质  评价
收稿时间:2022-03-15

Agrometeorological Indexes and Climate Quality Evaluation of Sugar Content of Wallace Melon
YU Liangliang,KONG Deyin,GAO Peide,BAO Jiajing,KONG Mingchuan. Agrometeorological Indexes and Climate Quality Evaluation of Sugar Content of Wallace Melon[J]. Chinese Agricultural Science Bulletin, 2022, 38(34): 102-106. DOI: 10.11924/j.issn.1000-6850.casb2022-0172
Authors:YU Liangliang  KONG Deyin  GAO Peide  BAO Jiajing  KONG Mingchuan
Affiliation:1.Inner Mongolia Bayannur City Meteorological Bureau, Bayannur, Inner Mongolia 015000;2.Agricultural Climate Experimental Station in Bayannur City of Inner Mongolia, Bayannur, Inner Mongolia 015000;3.Wallace Institute, Dengkou County of Inner Mongolia, Dengkou, Inner Mongolia 015200
Abstract:The agrometeorological index system of Wallace melon sugar content is the basis of quantitatively evaluating the quality of Wallace melon, and also the basis of agrometeorological service for the melon production. This paper explained the connotation of agrometeorological index system of Wallace melon, and compared and analyzed the advantages and disadvantages of the research methods of agrometeorological indexes comprehensively. Then, based on the general rule, the agrometeorological index system of temperature, moisture, humidity and evaporation in the key growth periods was established. The results showed that 20 indexes passed the 0.01 significance level test, and 6 indexes passed the 0.05 significance level test. The biological significance and agrometeorological significance of the selected indexes were obvious, which accorded with the production practice. In order to facilitate the development of agrometeorological service, all the indexes were divided into the most suitable, less suitable and unsuitable groups. The model passed the significance test of 0.01, and the fitting rate reached 94.4%, showing precise fitting effect. Therefore, the model can be used to evaluate the quality of Wallace melon.
Keywords:Wallace melon  sugar content  meteorological indexes  climate quality  evaluation  
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