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Volume 12 Issue 6
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Article Navigation >  Forest Research  > 1999 >  12(6): 699-672

Citation:
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Study on Shortern Forecast of Micromelopha troglodyta

  • 1.

    Forest Biocontrol Central Station of Jilin Province, Changchun 130012, Jilin, China

  • 2.

    Forest Disease and Pest Control and Quarantine Station of Changling County, Jilin Province, Changling 131506, Jilin, China

  • Received Date: 1998-09-11
  • This paper deals with the bionomics of Micromelopha troglodyta.The pest has 2 generations a year and overwinters in pupa in the fallen leaves.In the food lack condition,the last instar larvae is compelled to pupate in advance,themass of the pupa ismuch lighter than that of normal pupa.If themass of the pupa is below 90mg,it can not emerge.Themathematicalmodel between the probability of the female and the pupamass is Yi =-6.22+3.256 log Xi.Themathematicalmodel between amount of the female eggs and the pupamass is Yi′=-1 886.3+1 014.4 log Xi.Applying thesemathematicalmodels,we can forecast the population dynamics ofm.troglodyta.
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通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

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Study on Shortern Forecast of Micromelopha troglodyta

  • 1. Forest Biocontrol Central Station of Jilin Province, Changchun 130012, Jilin, China
  • 2. Forest Disease and Pest Control and Quarantine Station of Changling County, Jilin Province, Changling 131506, Jilin, China
  • Received Date: 1998-09-11
  • Available Online: 2012-03-17

Abstract: This paper deals with the bionomics of Micromelopha troglodyta.The pest has 2 generations a year and overwinters in pupa in the fallen leaves.In the food lack condition,the last instar larvae is compelled to pupate in advance,themass of the pupa ismuch lighter than that of normal pupa.If themass of the pupa is below 90mg,it can not emerge.Themathematicalmodel between the probability of the female and the pupamass is Yi =-6.22+3.256 log Xi.Themathematicalmodel between amount of the female eggs and the pupamass is Yi′=-1 886.3+1 014.4 log Xi.Applying thesemathematicalmodels,we can forecast the population dynamics ofm.troglodyta.

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