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黑龙江省春小麦赤霉病流行的预测方法
引用本文:左豫虎,郑莲枝,张匀华,刘惕若,彭驰,张运权,史翠萍,许群洲,潘春彦. 黑龙江省春小麦赤霉病流行的预测方法[J]. 植物保护学报, 1995, 22(4): 297-302
作者姓名:左豫虎  郑莲枝  张匀华  刘惕若  彭驰  张运权  史翠萍  许群洲  潘春彦
作者单位:黑龙江八一农垦大学植物免疫研究室,黑龙江八一农垦大学植物免疫研究室,黑龙江八一农垦大学植物免疫研究室,黑龙江八一农垦大学植物免疫研究室,黑龙江八一农垦大学植物免疫研究室,黑龙江省八五四农场,黑龙江省八五四农场,黑龙江省八五四农场,黑龙江省八五四农场 密山 158308,密山 158308,密山 158308 黑龙江省农业科学院植物保护研究所,密山 158308,密山 158308 黑龙江省农业环境保护监测站,虎林,虎林,虎林,虎林
基金项目:国家“七五”攻关75-03-01-02专题研究
摘    要:作者应用相关分析、多元回归和逐步回归等方法,统计分析了1959年以来黑龙江省八五四农场设置的病圃所积累的23年的田间赤霉病病情资源与各种气象因子的关系。明确了当地小麦赤霉病流行强度变化主要受小麦抽穗扬花期的平均相对温度、降雨日数、日照时数3项气象因子所左右。据此建立了小麦赤霉病流行预测模型,模型的回检及实测检验结果表明,该模型较准确地反映了当地小麦赤霉病的流行规律,可用于赤霉病流行强度的预测。

关 键 词:春小麦 赤霉病 流行 预测 黑龙江

STUDIES ON THE EPIDEMIC METHOD OF SPRING WHEAT SCAB IN HEILONGJIANG PROVINCE
Zuo Yuhu,Zheng Lianzhi,Zhang Yunhu,Liu Tiruo,Peng Chi,Zhang Yunquan,Shi Cuiping,Xu Qunzhou and Pan Chunyan. STUDIES ON THE EPIDEMIC METHOD OF SPRING WHEAT SCAB IN HEILONGJIANG PROVINCE[J]. Acta Phytophylacica Sinica, 1995, 22(4): 297-302
Authors:Zuo Yuhu  Zheng Lianzhi  Zhang Yunhu  Liu Tiruo  Peng Chi  Zhang Yunquan  Shi Cuiping  Xu Qunzhou  Pan Chunyan
Affiliation:Research Laboratory of Plant Immunology, Heilongjiang August First Land Reclamation University, Mishan,Research Laboratory of Plant Immunology, Heilongjiang August First Land Reclamation University, Mishan,Research Laboratory of Plant Immunology, Heilongjiang August First Land Reclamation University, Mishan,Research Laboratory of Plant Immunology, Heilongjiang August First Land Reclamation University, Mishan,Research Laboratory of Plant Immunology, Heilongjiang August First Land Reclamation University, Mishan,Farm No.854 Heilongjiang Province, Hulin,Farm No.854 Heilongjiang Province, Hulin,Farm No.854 Heilongjiang Province, Hulin and Farm No.854 Heilongjiang Province, Hulin
Abstract:This paper presents investigation data of field epidemic states of spring wheat scab accumulated since 1959 from a disease nursery, in Farm No. 854 of Heilongjiang Province. The statistical analysis illustrated that the wheat scab epidemic strength was determined by average relative humidity and days of raining and the duration of sunshine from wheat ear sprouing phase to blooming phase in the region. Based on these main factors setting up wheat scab epidemic forecast models were set up and applied to practice. The results of application indicated that these models could precisely report wheat scab epidemics in the area and forecast wheat scab epidemic strength.
Keywords:spring wheat   scab   epidemic   forecast  
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