1969
DOI: 10.1111/j.1570-7458.1969.tb02494.x
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PUPARIAL DURATION IN GLOSSINA MORSITANS ORIENTALIS UNDER CONDITIONS OF CONSTANT TEMPERATURE

Abstract: Puparial durations and rates of development at constant temperatures have been estimated for puparia derived from colony and field populations. Rates of development may now be predicted over the temperature range 8° to 32° C, estimates for temperature less than 16° having been obtained by a technique using alternating temperature regimes. No evidence was found for localised racial variation, but some evidence is presented for a larval conditioning effect. ZUSAMMENFASSUNG DAUER DES PUPARIUM‐STADIUMS BEI GLOSSIN… Show more

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Cited by 50 publications
(68 citation statements)
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“…Despite these difficulties, we are still faced with the need to model development that occurs at low varying temperatures below that which permits complete development under constant conditions or below the notional development threshold (table 7; Luo & Li, 1993). Under varying temperature regimes, a substantial proportion of development may occur and accumulate at these low temperatures, as has been shown in M. persicae by the 60 Shu-sheng Liu and Xue-duo Meng present study and in many other insects such as Oncopeltus fasciatus (Dallas) (Hemiptera: Lygaeidae) (Lin et al, 1954), Glossina morsitans orientalis Machado (Diptera: Glossinidae) (Phelps & Burrows, 1969), Lucilia cuprina (Wiedemann) (Diptera: Calliphoridae) (Dallwitz, 1984), A. sonchi (Liu & Hughes, 1984), and Encarsia tricolor Foerster (Hymenoptera: Aphelinidae) (Avilla & Copland, 1988). Many studies of modelling insect development in the field have shown that nonlinear models are necessary for predicting development at low temperatures, while linear models usually underestimate development at these low temperatures (Butler et al, 1976;Lysyk, 1989;Judd & McBrien, 1994).…”
Section: Modelling Insect Development At Low Temperatures In the Fieldmentioning
confidence: 70%
“…Despite these difficulties, we are still faced with the need to model development that occurs at low varying temperatures below that which permits complete development under constant conditions or below the notional development threshold (table 7; Luo & Li, 1993). Under varying temperature regimes, a substantial proportion of development may occur and accumulate at these low temperatures, as has been shown in M. persicae by the 60 Shu-sheng Liu and Xue-duo Meng present study and in many other insects such as Oncopeltus fasciatus (Dallas) (Hemiptera: Lygaeidae) (Lin et al, 1954), Glossina morsitans orientalis Machado (Diptera: Glossinidae) (Phelps & Burrows, 1969), Lucilia cuprina (Wiedemann) (Diptera: Calliphoridae) (Dallwitz, 1984), A. sonchi (Liu & Hughes, 1984), and Encarsia tricolor Foerster (Hymenoptera: Aphelinidae) (Avilla & Copland, 1988). Many studies of modelling insect development in the field have shown that nonlinear models are necessary for predicting development at low temperatures, while linear models usually underestimate development at these low temperatures (Butler et al, 1976;Lysyk, 1989;Judd & McBrien, 1994).…”
Section: Modelling Insect Development At Low Temperatures In the Fieldmentioning
confidence: 70%
“…Thus, for constant temperatures >20 and <31 • C pupal survival was >92% in the laboratory (Phelps & Burrows, 1969). Thus, for constant temperatures >20 and <31 • C pupal survival was >92% in the laboratory (Phelps & Burrows, 1969).…”
Section: Discussionmentioning
confidence: 86%
“…Temperatures that cause the embryo to die when held constant throughout incubation can nevertheless support development provided that exposure is for a limited period each day (Headlee 1941;Harries 1943;Lin et al 1954;Fitch and Fitch 1967;Phelps and Burrows 1969;Luo and Li 1993;Morales-Ramos and Cate 1993). Constant temperature experiments alone may therefore not yield the necessary data at high or low temperatures to permit good estimates of the parameters T H , H H , T L , or H L of the Sharpe-DeMichele model or parameters b 4 and b 5 of the Dallwitz-Higgins model.…”
Section: Fitting the Nonlinear Modelsmentioning
confidence: 99%