A comparison of different thermal performance functions describing temperature-dependent development rates

Shi, Peijian; Ge, Feng

doi:10.1016/j.jtherbio.2010.05.005

Cited by 78 publications

(57 citation statements)

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“…The Sharpe-SchoolfieldIkemoto model assumes only the existence of LDT (Ikemoto 2005(Ikemoto , 2008Shi et al 2011b). The WangLan-Ding model (Wang et al 1982), Lactin (Lactin et al 1995), and performance models (Shi & Ge 2010;Shi et al 2011a) are models whereas the existence of both LDT and UDT is assumed. In addition, the data presented in Figure 1 could conform well to other models, particularly those evaluated by Shi and Ge (2010).…”

Section: Resultsmentioning

confidence: 99%

“…The WangLan-Ding model (Wang et al 1982), Lactin (Lactin et al 1995), and performance models (Shi & Ge 2010;Shi et al 2011a) are models whereas the existence of both LDT and UDT is assumed. In addition, the data presented in Figure 1 could conform well to other models, particularly those evaluated by Shi and Ge (2010). In summary, there are two debates about the existence of LDT, SeT, and UDT.…”

Section: Resultsmentioning

confidence: 99%

“…These non-linear models are like a two-sided sword: (1) they represent abundant tools for describing the temperature-dependent development rates; (2) it takes to spend much time on choosing one among so many models. Although some comparative studies were done to recommend the best of these models (e.g., Smits et al 2003;Kontodimas et al 2004;Kim et al 2009;Shi & Ge 2010), these studies did not draw a corresponding conclusion yet.…”

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confidence: 99%

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

Liu¹,

Yan²,

Mingfu³

et al. 2017

Plant Prot. Sci.

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Liu J., Yan Y., Yu M., Parajulee † M.N., Shi P., Liu J., Zhao Z. (2017): Using the LoeSS method to describe the effect of temperature on development rate. Plant Protect. Sci., 53: 226-231.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.Keywords: non-parametric model; local regression; weighted least squares; AphididaeIn general, one insect or mite species needs to experience different developmental stages in its lifecycle. Completing each developmental stage requires a period of time, which is referred to as development time (or development duration). The reciprocal characteristic of development time is referred to as development rate. It has been demonstrated that temperature has a strong influence on development rate (Campbell et al. 1974;Taylor 1981). Development rate is regarded as a linear function of temperature over the range of moderate temperatures (Campbell et al. 1974;Zhao et al. 2012). However, this linear relationship between development rate and temperature does not fit if temperatures were not in this range. Several non-linear models have been developed for describing the effect of temperature on development rate (e.g., Logan et al.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

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

Liu¹,

Yan²,

Mingfu³

et al. 2017

Plant Prot. Sci.

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“…그러나 유효적산 온도 방법은 발육영점온도를 직선회귀식에 의해 추정하기 때문에 저온이나 고온부근에서 오차가 발생하는 단점이 있어 (Howe, 1967;Scopes and Biggerstaff, 1977), 이러한 문제점을 보완하는 발육속도 개념에 근거한 발육률을 적산하여 예측하 는 방법이 개발되고 있으며 (Wagner et al, 1984a, b), Schoolfield et al(1981)이 변형한 비선형 모형은 적산온도를 이용한 모형 보다 좋은 적중도를 보이는 것으로 보고되고 있다 (Han et al, 1993;Kim et al, 2001;Kim and Lee, 2003;Park et al, 2010a, b). Burnham and Anderson, 2004;Shi and Ge, 2010). 복숭아진딧 물에서도 이러한 연구들이 이루어져 온도에 의한 약충 발육기 간 (Kocourek and Beraniova, 1989;Lykouressis, 1985 …”

Section: 피해로는 어린 식물에 높은 밀도로 존재하고 물에 대한 스트레unclassified

Comparison of Development times of Myzus persicae (Hemiptera:Aphididae) between the Constant and Variable Temperatures and its Temperature-dependent Development Models

Kim¹,

Choi²,

Ko³

et al. 2012

Korean journal of applied entomology

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The developmental time of the nymphs of Myzus persicae was studied in the laboratory (six constant temperatures from 15 to 30℃ with 50~60% RH, and a photoperiod of 14L:10D) and in a green-pepper plastic house. Mortality of M. persicae in laboratory was high in the first(6.7~13.3%) and second instar nymphs(6.7%) at low temperatures and high in the third (17.8%) and fourth instar nymphs(17.8%) at high temperatures. Mortality was 66.7% at 33℃ in laboratory and 26.7℃ in plastic house. The total developmental time was the longest at 14.6℃ (14.4 days) and shortest at 26.7℃ (6.0 days) in plastic house. The lower threshold temperature of the total nymphal stage was 3.0℃ in laboratory. The thermal constant required for nymphal stage was 111.1DD. The relationship between developmental rate and temperature was fitted nonlinear model by Logan-6 which has the lowest value on Akaike information criterion (AIC) and Bayesian information criterion (BIC). The distribution of completion of each developmental stage was well described by the 3-parameter Weibull function (r 2 =0.95~0.97). This model accurately described the predicted and observed occurrences. Thus the model is considered to be good for use in predicting the optimal spray time for Myzus persicae.

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“…The role of temperature on developmental rates of insects is well recognized as being important to determining the seasonal occurrence of insect pests and to the development of integrated pest management programs (Shi and Ge 2010). Temperature is a major factor determining insect egg development time and depending on the range of temperatures, the developmental rate can be either linear or non-linear (Johnson et al 2007).…”

Section: Introductionmentioning

confidence: 99%

Determining suitability of thermal development models to estimate temperature parameters for embryonic development of Sitona lepidus Gyll. (Coleoptera: Curculionidae)

Arbab

McNeill

2011

J Pest Sci

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The clover root weevil, Sitona lepidus Gyll. is a pest of clovers (Trifolium spp.), particularly white clover (T. repens). Larva feeding severely impairs the capacity of white clover to fix atmospheric nitrogen, by attacking the nitrogen-fixing root nodules. Development of the egg stage was studied at six different constant temperatures ranging from 9 to 30°C to improve the basis for phenological forecasts. Development occurred over the entire range of temperatures, although hatching percentage at 30°C was only 24.4% compared to 90.1% at 28.5°C. Developmental time decreased with increase in temperature from 9 to 28.5°C but increased markedly at 30°C. At 28.5°C, the embryo development period was the shortest (10.35 days); whereas at 9°C, this parameter was the longest (55.08 days). Using linear regression, the lower threshold temperature was calculated 4.38°C and the thermal constant was 236.45 degree-days. The relationship between constant temperature and developmental rate was evaluated using nine models. The suitability of the models was evaluated based on eight indicators (R 2 , RSS, R adj 2 , AIC, BIC, AICC, W j , and Z i ). Of the nonlinear models, the Logan-6, Sharpe and DeMichele, and Lactin models were the most accurate at calculating t opt of 27, 27.50, and 28°C, respectively. The results suggest that of the three models (Lactin, Briere, and Hilbert and Logan), that estimated critical temperatures, (t min , t opt , and t max ), Lactin gave the most suitable fit of data. This response of S. lepidus to temperature can be used for developing phonological models to predict the timing of egg hatch which are important for management programs targeting the weevil.

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A comparison of different thermal performance functions describing temperature-dependent development rates

Cited by 78 publications

References 28 publications

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

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

Comparison of Development times of Myzus persicae (Hemiptera:Aphididae) between the Constant and Variable Temperatures and its Temperature-dependent Development Models

Determining suitability of thermal development models to estimate temperature parameters for embryonic development of Sitona lepidus Gyll. (Coleoptera: Curculionidae)

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