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柑橘产量大小年年型等级与气象条件关系研究

杨辉 侯显达 王铄今 刘书田 贾书刚 杜潇 侯彦林

吉林农业大学学报2026,Vol.48Issue(1):87-92,6.
吉林农业大学学报2026,Vol.48Issue(1):87-92,6.DOI:10.13327/j.jjlau.2021.1649

柑橘产量大小年年型等级与气象条件关系研究

Relationship between Citrus Yield Grade and Meteorological Condi-tions

杨辉 1侯显达 2王铄今 3刘书田 4贾书刚 2杜潇 3侯彦林4

作者信息

  • 1. 南宁师范大学计算机与信息工程学院,南宁 530001
  • 2. 南宁师范大学广西地标作物大数据工程技术研究中心,南宁 530001
  • 3. 南宁师范大学北部湾环境演变与资源利用教育部重点实验室,南宁 530001
  • 4. 南宁师范大学广西地表过程与智能模拟重点实验室,南宁 530001
  • 折叠

摘要

Abstract

Based on the meteorological conditions,this study established the grade prediction model of citrus yield in Pingle county,so as to provide technical standards for the formulation and imple-mentation of citrus management and field control measures in this area.Based on the grade data of citrus yield in Pingle county from 1991 to 2019 and the daily meteorological data of corresponding years,the meteorological indexes significantly related to the grade of citrus yield were selected,and the prediction models of multiple meteorological indexes were established.The results showed that:the key meteorological factors affecting the grade of citrus yield in Pingle county were the average of the daily average relative humidity from December of the previous year to January of the current year plus 30 days(X1),the average of the daily average relative humidity from April to May of the harvest year plus 25 days(X2),and the cumulative of the daily sunshine hours before May of the harvest year plus 5 days(X3).The meteorological indexes with high grade of citrus yield are:the days with daily average relative humidity≤70%from December of the previous year to January and add another 30 days of the current year(X4)is more than 50 d,the days with daily average relative humidity≤75%from April to May of and add another 25 days of the current year(X5)is more than 25 d,and the days with daily sunshine≥8 h from add another 5 days before May and May of the current year(X6)is more than 12 d.Comprehensive prediction model of the grade of citrus yield in Pingle county:Y=87.889-0.148X1-0.864X2-0.004X3-0.025X4-0.180X5+0.046X6(r=0.994**,n=12),the autoregressive qualified rate of the model is calculated according to the grade prediction error±0.3 grades,and the qualified rate is 100%.

关键词

柑橘/产量/年型等级/气象条件/预测模型

Key words

citrus/yield/yield grade/meteorological condition/prediction model

分类

农业科技

引用本文复制引用

杨辉,侯显达,王铄今,刘书田,贾书刚,杜潇,侯彦林..柑橘产量大小年年型等级与气象条件关系研究[J].吉林农业大学学报,2026,48(1):87-92,6.

基金项目

广西科技基地和人才专项(桂科AD18126012),"广西八桂学者"专项,教育部重点实验室系统基金项目(GTEU-KLXTJJ-201705,NNNU-KLOP-X2007),广西一流学科(地理学)建设项目,广西科技重大专项(桂科AA17204077) (桂科AD18126012)

吉林农业大学学报

1000-5684

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