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Geographic variation in photoperiodic diapause induction and diapause intensity in  Sericinus montelus  (Lepidoptera: Papilionidae)
Author(s) -
Wang XiaoPing,
Yang QiuSheng,
Dalin Peter,
Zhou XingMiao,
Luo ZhiWen,
Lei ChaoLiang
Publication year - 2012
Publication title -
insect science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.991
H-Index - 45
eISSN - 1744-7917
pISSN - 1672-9609
DOI - 10.1111/j.1744-7917.2011.01473.x
Subject(s) - diapause , biology , lepidoptera genitalia , pupa , photoperiodism , geographic variation , butterfly , latitude , population , light intensity , ecology , zoology , botany , demography , larva , physics , geodesy , sociology , optics , geography
  Due to the risk of extinction and ornamental value of the swallowtail butterfly,  Sericinus montelus  Gray (Lepidoptera: Papilionidae) in China, knowledge about local adaptations is important for the conservation and economical utilization of the species. In the present study, photoperiodic diapause induction and diapause intensity of  S. montelus  populations from Jiamusi (46°37′N), Beijing (40°15′N), Zibo (36°48′N), Fangxian (32°36′N), Wuhan (30°33′N) and Huaihua (27°33′N) were characterized at 25°C. Logistic regression analysis revealed a significant population × hours of light interaction, confirming that photoperiodic responses varied among populations. The critical photoperiod was positively correlated with latitude and increased toward the north at a rate of about 1 h for each 6.67 degrees of latitude. Survival analyses indicated that survival time of diapausing pupae before adult eclosion differed significantly among populations at 25°C and 16 : 8 L : D h. The mean duration of pupal diapause was also positively correlated with latitude. Our study reveals geographic variation in the critical photoperiod for diapause induction and in diapause intensity of  S. montelus . These results provide useful information for our general understanding about seasonal adaptation in insects and may also be used to predict how geographic populations respond to climate warming.

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