Repository logo
  • English
  • 中文
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Research Units / 研究單位
  3. Chiayi Agricultural Experiment Branch / 嘉義農業試驗分所
  4. Department of Plant Protection / 植物保護系
  5. 水積葉稻熱病預測(III)氣象變數與病斑面積率之關係
 
  • Details

水積葉稻熱病預測(III)氣象變數與病斑面積率之關係

Other Title
Prediction of Rice Leaf Blast. III. Meteorological Variables and Percentage of Leaf Area Infected by Pyricularia oryzae
Journal
植物保護學會會刊
Journal Volume
28
Journal Issue
1
Pages
111-117
ISBN
0577-750X
Date Issued
1986-03
Date
1986-11
Author(s)
蔡武雄
Tsai, W.H.
URI
https://scholars.tari.gov.tw/handle/123456789/8854
Abstract
利用復迴歸分析1979~1984年臺農67號之病斑面積率與氣象變數之間的關係,建立六個方程式來預測稻熱病在發病最高峰期之病斑面積率,並以1985年之氣象變數與病斑面積率數據來驗證此等預測方程式之準確性,結果顯示其各預測值與實測值之數據甚為接近,且依病斑面積率與產量損失之關係,預測值與實測值屬於同一級數。各預測方程式係以病斑面積率與其角度值為因變數分別求得的。分析的結果,顯示轉角與否並無顯著的差別。在所建立的預測方程式含有3~4個氣象變數,分別為平均相對濕度,相對濕度在90%以上之小時數,降雨量及降雨日數,預測方程式中R2之值為0.89~0.96。在六個預測方程式中,四個係由二月中旬的之氣象變數組成的,而其餘二個係由二月下旬之氣象變數組成的。 By using multiple regression to analyze the relationships between meteorological variables and percentage of leaf area infected by Pyricularia oryzae on rice cultivar, Tainung 67, six reliable predicting equations were derived. The equations derived from 1979-1984 were tested in 1985. The results shoved that the predicting values were close to the observed values. The predicting equations were obtained by using percentage of diseased leaf area with and without arcsin transformation. Equations derived from transformed and untransformed data were similar. The equations contained 3-4 meteorological variables, such as average RH, hours of RH over 90%, rainfall and rainy days. The coefficients of determination of the equations were 0.89-0.96. Among the six equations, four were derived from the meteorological variables of middle February, and the other two were derived from late February.
Subjects
稻熱病
預測
病斑面積率
轉角
rice blast
prediction
percentage of leaf area infected
arcsin percentage transformation
Publisher
植病保護學會
Type
journal article
File(s)
Loading...
Thumbnail Image
Name

28-1-111-117.pdf

Size

449.29 KB

Format

Adobe PDF

Checksum

(MD5):eda068055380d6d7188167abc78d18d8

新系統部份功能仍在調整中

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Privacy policy
  • End User Agreement
  • Send Feedback