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2024 Volume 3 Issue 1
Article Contents

HUANG Huaying, CHEN Ying, CHEN Guanhao. Spatial Distribution Pattern of White Panicle Damaged by Tryporyza incertulas and Its Application[J]. PLANT HEALTH AND MEDICINE, 2024, (1): 72-78. doi: 10.13718/j.cnki.zwyx.2024.01.008
Citation: HUANG Huaying, CHEN Ying, CHEN Guanhao. Spatial Distribution Pattern of White Panicle Damaged by Tryporyza incertulas and Its Application[J]. PLANT HEALTH AND MEDICINE, 2024, (1): 72-78. doi: 10.13718/j.cnki.zwyx.2024.01.008

Spatial Distribution Pattern of White Panicle Damaged by Tryporyza incertulas and Its Application

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  • Received Date: 15/10/2023
  • MSC: S433

  • This study explored the spatial distribution pattern and sampling techniques of the white panicles caused by rice stem borer damage can provide reference for monitoring, forecasting, and effective prevention and control of this pest. Plant by plant survey data of 9 rice fields was selected to study the spatial distribution pattern and sampling techniques of white panicles damaged by rice stem borer with 6 aggregation indicators, Iwao's m*-m regression analysis method, and Taytor power law. The results showed that the white panicles showed an aggregated distribution in the rice field. The basic component of the distribution was mutual attraction between individuals. The degree of aggregation increased with the increase of density. On this basis, Iwao's method was used to determine the optimal theoretical sampling formula for the white panicle in the field. In field investigations, the white panicle cluster rate can be used to estimate the white panicle population density, with a formula of=2.098 2[(- ln (1-p)]1.127 3. The established theoretical sampling formula and simple estimation formula can be promoted and applied in the investigation, monitoring, prediction, and prevention and control of rice borer.
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Spatial Distribution Pattern of White Panicle Damaged by Tryporyza incertulas and Its Application

Abstract: This study explored the spatial distribution pattern and sampling techniques of the white panicles caused by rice stem borer damage can provide reference for monitoring, forecasting, and effective prevention and control of this pest. Plant by plant survey data of 9 rice fields was selected to study the spatial distribution pattern and sampling techniques of white panicles damaged by rice stem borer with 6 aggregation indicators, Iwao's m*-m regression analysis method, and Taytor power law. The results showed that the white panicles showed an aggregated distribution in the rice field. The basic component of the distribution was mutual attraction between individuals. The degree of aggregation increased with the increase of density. On this basis, Iwao's method was used to determine the optimal theoretical sampling formula for the white panicle in the field. In field investigations, the white panicle cluster rate can be used to estimate the white panicle population density, with a formula of=2.098 2[(- ln (1-p)]1.127 3. The established theoretical sampling formula and simple estimation formula can be promoted and applied in the investigation, monitoring, prediction, and prevention and control of rice borer.

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