scholarly journals Using the loess method to describe the effect of temperature on development rate

2017 ◽  
Vol 53 (No. 4) ◽  
pp. 226-231 ◽  
Author(s):  
Liu Junhe ◽  
Yan Yan ◽  
Yu Mingfu ◽  
Parajulee Megha N ◽  
Shi Peijian ◽  
...  
Keyword(s):  
Goodness Of Fit ◽  
Parametric Model ◽  
Development Rate ◽  
Parametric Models ◽  
Effect Of Temperature ◽  
Published Data ◽  
Local Regression ◽  
Temperature Dependent ◽  
Dependent Development ◽  
Development Rates

Temperature has a significant influence on development rates of insects and mites. Many parametric models were built to describe the temperature-dependent development rates. However, these models provided different shapes of the curves of development rate versus temperature. For different datasets, investigators have to spend much time on considering which the parametric model is the best for describing the temperature-dependent development rates. In the present study, we encourage investigators to use an important non-parametric model, the loess method, which belongs to local regression methods. The loesS method is used to fit some published data on the development rate of aphids to check the goodness-of-fit. We find that the loess method is very flexible for fitting the given datasets. Thus, we consider that the loess method can be used to describe the effect of temperature on the development rate of insects or mites.

scholarly journals Temperature-dependent development and mortality of Australian cockroach, Periplaneta australasiae (Fabricius) (Blattodea: Blattidae

2010 ◽  
Vol 40 (No. 1) ◽  
pp. 11-15 ◽  
Author(s):  
V. Stejskal ◽  
J. Lukáš ◽  
R. Aulický
Keyword(s):  
Development Rate ◽  
Effect Of Temperature ◽  
Thermal Constant ◽  
Pest Species ◽  
Temperature Dependent ◽  
Thermal Threshold ◽  
Dependent Development ◽  
Thermal Constants ◽  
Temperature Controlled ◽  
Periplaneta Australasiae

The effect of temperature on the development of the 1<SUP>st</SUP> instar of <I>Periplaneta australasiae</I> (Fabr.) was studied at the four constant temperatures of 21°C, 24°C, 27°C and 30°C in temperature-controlled chambers. Mortality was 50% at 30°C, and 10% at 21°C, 24° and 27°C. Thermal constants were established by plotting linear regression to development rate. The thermal threshold for the development was 17.1°C and the thermal constant for 1<SUP>st</SUP> instar larvae was 147.1 day-degrees. As “safe temperature” (<I>t<SUB>s</SUB></I>) – the temperature to be maintained in stores or food premises to prevent the development of a pest species – we recommend 16°C.

Determining Temperature-Dependent Development and Mortality Parameters of the Swede Midge (Diptera: Cecidomyiidae)

2019 ◽  
Vol 112 (4) ◽  
pp. 1665-1675
Author(s):  
Jenny Liu ◽  
Boyd A Mori ◽  
Owen Olfert ◽  
Rebecca H Hallett
Keyword(s):  
North America ◽  
Goodness Of Fit ◽  
Growth Models ◽  
Life Stage ◽  
Adult Longevity ◽  
Temperature Dependent ◽  
Dependent Development ◽  
Development Rates ◽  
Swede Midge ◽  
Contarinia Nasturtii

Abstract The swede midge (Contarinia nasturtii Kieffer) is an invasive insect in North America whose feeding has caused a decline of over 60% of total canola acreage in Ontario, Canada since 2011. Temperature-dependent development and mortality information are important to develop an effective pest management strategy for this insect; as the most comprehensive study on C. nasturtii development was completed on populations from the United Kingdom in the 1960s, new geographically relevant information is needed. Contarinia nasturtii eggs, larvae, pupae, and adults were reared from wild populations collected from Elora, Ontario, and allowed to develop at different temperatures. Resulting development rates were fit to a series of growth models and the model with the best relative goodness-of-fit was selected to represent the given life stage. Eggs from Ontario populations developed more quickly than their UK counterparts at temperatures below approximately 17°C, but more slowly at temperatures above 17°C. The same phenomenon was observed in larvae at 20°C. Pupae from both populations had similar development rates, and adult longevity was similar as well. This information will inform the management of C. nasturtii, and may help prevent its spread to other canola-producing regions of North America.

Effect of Temperature on Development Rate, Survival and Fecundity of Cotton Tipworm, Crocidosema-Plebejana Zeller (Lepidoptera, Tortricidae)

1991 ◽  
Vol 39 (2) ◽  
pp. 191 ◽  
Author(s):  
JG Hamilton ◽  
MP Zalucki
Keyword(s):  
Linear Model ◽  
Development Rate ◽  
Population Increase ◽  
Effect Of Temperature ◽  
Direct Result ◽  
Immature Stages ◽  
Optimum Temperature ◽  
Development Rates ◽  
Non Linear ◽  
Female Weight

C. plebejana were reared from egg to adult at a range of constant temperatures. At 10-degrees-C no immature stages survived. Development rates increased over the temperature range 14-34-degrees-C; these were simulated with a non-linear model. Females emerged before males. Fecundity decreased with increased rearing temperature as a direct result of reduced adult female weight. At 34-degrees-C development rate and survival were reduced and all eggs laid were infertile. Optimum temperature for population increase was 28-degrees-C. Validation of a non-linear model for development rate shows that the species of host-plant affects mean development rates of tipworm. Although 5.3 tipworm generations are possible on cotton annually, only one occurs; reasons for this are suggested.

scholarly journals A synthesis of the temperature dependent development rate for the obliquebanded leafroller, Choristoneura rosaceana

2005 ◽  
Vol 5 (1) ◽  
Author(s):  
Vincent P. Jones ◽  
Michael D. Doerr ◽  
Jay F. Brunner ◽  
Callie C. Baker ◽  
Tawnee D. Wilburn ◽  
...  
Keyword(s):  
Development Rate ◽  
Choristoneura Rosaceana ◽  
Temperature Dependent ◽  
Dependent Development ◽  
Obliquebanded Leafroller

scholarly journals A critical review of the use and performance of different function types for modeling temperature-dependent development of arthropod larvae

2016 ◽  
Author(s):  
Brady K. Quinn
Keyword(s):  
Development Time ◽  
Single Type ◽  
Published Data ◽  
List Type ◽  
Temperature Dependent ◽  
Function Type ◽  
Dependent Development ◽  
Development Times ◽  
Complex Functions ◽  
Incorrect Model

ABSTRACTTemperature-dependent development influences production rates of arthropods, including crustaceans important to fisheries and agricultural pests. Numerous candidate equation types (development functions) exist to describe the effect of temperature on development time, yet most studies use only a single type of equation and there is no consensus as to which, if any model predicts development rates better than the others, nor what the consequences of selecting a potentially incorrect model equation are on predicted development times. In this study, a literature search was performed of studies fitting development functions to development of arthropod larvae (99 species). The published data of most (79) of these species were then fit with 33 commonly-used development functions. Overall performance of each function type and consequences of using a function other than the best one to model data were assessed. Performance was also related to taxonomy and the range of temperatures examined. The majority (91.1 %) of studies were found to not use the best function out of those tested. Using the incorrect model lead to significantly less accurate (e.g., mean difference ± SE 85.9 ± 27.4 %, range: −1.7 to 1725.5 %) predictions of development times than the best function. Overall, more complex functions performed poorly relative to simpler ones. However, performance of some complex functions improved when wide temperature ranges were tested, which tended to be confined to studies of insects or arachnids compared with those of crustaceans. Results indicate the biological significance of choosing the best-fitting model to describe temperature-dependent development time data.HighlightsTemperature-dependent development functions of arthropod larvae were reviewed79 published datasets were re-tested and fit with 33 different function types91.1 % of published studies did not fit their data with the best function of those testedPerformance differed among functions and was related to taxon and temperature range testedFunction type impacted predicted development times, so using the best function matters

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