The Coffee Berry Borer (Coleoptera: Curculionidae): How Many Instars are There?

Gómez, Jaime; Chávez, Brenda Y.; Castillo, Alfredo; Valle, Francisco; Vega, Fernando E.

doi:10.1093/aesa/sav009

Cited by 15 publications

(17 citation statements)

References 12 publications

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“…However, it is difficult to observe the process of molting for insects that are hidden in fruit or other plant or animal tissues. Based on the Dyar rule, most researchers believe that the growth of sclerotized parts proceeds in a regular geometric progression between successive instars (Crosby 1973;Irigaray et al 2006;Gómez et al 2015). one of the most commonly used features is the width of the larval head capsule (Hammack et al 2003;Delbac et al 2010;Wu et al 2012).…”

Section: Discussionmentioning

confidence: 99%

Determination of Instars of Bactrocera dorsalis (Diptera: Tephritidae)

Shi

Dou

Jiang

et al. 2017

Florida Entomologist

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Section: Discussionmentioning

confidence: 99%

Determination of Instars of Bactrocera dorsalis (Diptera: Tephritidae)

Shi

Dou

Jiang

et al. 2017

Florida Entomologist

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“…Furthermore, in some species (e.g. Cerambycidae larvae, order Coleoptera), life stages persist for several months to half a year and, thus, cannot be continuously observed (Daly, ; Gómez, Chávez, Castillo, Valle, & Vega, ). The Brooks–Dyar rule, which is based on the studies of Brooks () and Dyar () on the body length of Lysiosquilla minuta larvae and mandible width of lepidopteran larvae, respectively, determines a constant post‐molt to pre‐molt size ratio for arthropods that can be used to infer the number of instars.…”

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Determining the number of instars in potato tuber moth Phthorimaea operculella (Zeller) using density‐based DBSCAN clustering

Zheng

Wang

Chen

et al. 2019

J Applied Entomology

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The potato tuber moth (PTM), Phthorimaea operculella (Zeller), is an important pest of Solanaceae crops and especially devastating to potatoes. There is no significant difference in morphological characteristics of PTM from the first to third instar larvae; therefore, it is difficult to directly determine the number of instars of this pest based on morphology. In the present study, head capsule width and length and mandible width of 340 PTM individuals were measured. Density‐based spatial clustering of applications with noise (DBSCAN) clustering was used for instar grouping. The results of DBSCAN clustering were compared with those obtained using Gaussian mixture models and k‐means clustering; the results of the three clustering methods were verified using Brooks–Dyar rule, Crosby rule and linear regression model. The clusters obtained using the three methods were the same and comprised four PTM instars with three morphological characteristics. Moreover, the results of the three methods fit the Brooks–Dyar rule, Crosby rule, frequency analysis and logarithmic regression model well. Head capsule width was the best morphological characteristic for determining the number of instars of PTM, and this characteristic may be used for determining PTM instars in the field. These results show that the DBSCAN clustering method is a promising tool for the identification of insect instars.

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“…A good example is the commonly used thermal summation model (Richards & Villet, 2008). This model, which is based on the assumption that development of immature stages is linear, has been known for several decades (Higley et al, 1986), but it is still not established for the majority of forensically important species of invertebrates, which would be a great contribution to legal investigations.…”

Section: Introductionmentioning

confidence: 99%

“…These properties enable estimation of number of instars even from incomplete developmental information, when some instars were unobserved and are widely used for instar determination (e.g. Delbac, Lecharpentier & Thiery, 2010;Wu, Wang & Wu, 2012a,b;Gomez et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Peer Review #2 of "Thermal summation model and instar determination of all developmental stages of necrophagous beetle, Sciodrepoides watsoni (Spence) (Coleoptera: Leiodidae: Cholevinae) (v0.3)"

Kilian¹

2016

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Necrophagous beetles are underrepresented in forensic entomology studies despite their undeniable utility for the field. In the present article, information is presented regarding the developmental biology and instar determination of Sciodrepoides watsoni (Spence, 1813), a very common species occurring across the Holarctic region. Wild collected beetles were kept in climate chambers at constant temperature (12, 15, 18, 21 and 28°C) and their development was documented regularly. Parameters of thermal summation models and standard errors were calculated for each developmental stage. These models may be used for an estimation of post mortem interval in legal investigations after further validation on local populations of S. watsoni. An additional methodology is introduced for future studies of size-based characteristics, addressing instar identification bias. The methodology provided estimations (mean, standard error and standard deviation) of S. watsoni larval head capsule width for preliminary larval instar determination. The methodology may be used with other morphological features to improve instar determination accuracy.

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The Coffee Berry Borer (Coleoptera: Curculionidae): How Many Instars are There?

Cited by 15 publications

References 12 publications

Determination of Instars of Bactrocera dorsalis (Diptera: Tephritidae)

Determination of Instars of Bactrocera dorsalis (Diptera: Tephritidae)

Determining the number of instars in potato tuber moth Phthorimaea operculella (Zeller) using density‐based DBSCAN clustering

Peer Review #2 of "Thermal summation model and instar determination of all developmental stages of necrophagous beetle, Sciodrepoides watsoni (Spence) (Coleoptera: Leiodidae: Cholevinae) (v0.3)"

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