Agonoxenidae

























































































































































































































































































































































































































































































































































































































































































































































































































































































Como ler uma infocaixa de taxonomiaAgonoxenidae


Chrysoclista linneella
Chrysoclista linneella


Classificação científica























Reino:
Animalia

Filo:
Arthropoda

Classe:
Insecta

Ordem:
Lepidoptera

Família:
Agonoxenidae

Géneros
Um único género: Agonoxena

Agonoxenidae é uma família de insectos da ordem Lepidoptera.


Contém apenas quatro espécies em todo o mundo. São elas:




  • Agonoxena argaula: Considerada uma peste da espécies de coqueiro Cocos nucifera, nas Ilhas Fiji e no Havai.


  • Agonoxena pyrogramma: também considerada peste, mas na Indonésia.


  • Agonoxena miniana: peste da espécie Cocos nucifera.


  • Agonoxena phoenicea: ocorre na Austrália.



Referências |



  • Nielsen E.S., Edwards E.D. & Rangsi T.V. (eds.) (1996), Checklist of the Lepidoptera of Australia; Monographs on Australian Lepidoptera Volume 4; CSIRO Publishing, Melbourne, 1996

  • Kristensen, N.P. (ed.), 1999. Handbook of Zoology: Bd. 4. Arthropoda: Insecta. Teilbd. 35, Lepidoptera, moths and butterflies. Vol. 1. Evolution, systematics, and biogeography. W.de Gruyter, Berlin.



Ligações externas |




O Commons possui uma categoria contendo imagens e outros ficheiros sobre Agonoxenidae


  • Zipcodezoo


Wikispecies

O Wikispecies tem informações sobre: Agonoxenidae





Ícone de esboço Este artigo sobre lepidópteros, integrado no Projeto Artrópodes é um esboço. Você pode ajudar a Wikipédia expandindo-o.







Famílias de Lepidoptera

Acanthopteroctetidae -
Acrolepiidae -
Acrolophidae -
Adelidae -
Agathiphagidae -
Agonoxenidae -
Aididae -
Alucitidae -
Anomoeotidae -
Anomosetidae -
Anthelidae -
Arctiidae -
Arrhenophanidae -
Axiidae -
Batrachedridae -
Bedelliidae -
Blastobasidae -
Bombycidae -
Brachodidae -
Brahmaeidae -
Bucculatricidae -
Callidulidae -
Carposinidae -
Carthaeidae -
Castniidae -
Cecidosidae -
Choreutidae -
Coleophoridae -
Copromorphidae -
Cosmopterigidae -
Cossidae -
Crambidae -
Crinopterygidae -
Cyclotornidae -
Dalceridae -
Doidae -
Douglasiidae -
Drepanidae -
Dudgeoneidae -
Elachistidae -
Endromidae -
Epermeniidae -
Epicopeiidae -
Epipyropidae -
Eriocottidae -
Eriocraniidae -
Ethmiidae -
Eupterotidae -
Galacticidae -
Gelechiidae -
Geometridae -
Glyphipterigidae -
Gracillariidae -
Hedylidae -
Heliodinidae -
Heliozelidae -
Hepialidae -
Hesperiidae -
Heterobathmiidae -
Heterogynidae -
Himantopteridae -
Holcopogonidae -
Hyblaeidae -
Immidae -
Incurvariidae -
Lacturidae -
Lasiocampidae -
Lecithoceridae -
Lemoniidae -
Limacodidae -
Lophocoronidae -
Lycaenidae -
Lymantriidae -
Lyonetiidae -
Lypusidae -
Megalopygidae -
Metachandidae -
Micropterigidae -
Mimallonidae -
Mirinidae -
Mnesarchaeidae -
Momphidae -
Neopseustidae -
Neotheoridae -
Nepticulidae -
Noctuidae -
Nolidae -
Notodontidae -
Nymphalidae -
Oecophoridae -
Oenosandridae -
Opostegidae -
Palaeosetidae -
Palaephatidae -
Pantheidae -
Papilionidae -
Pieridae -
Plutellidae -
Prodoxidae -
Prototheoridae -
Psychidae -
Pterolonchidae -
Pterophoridae -
Pyralidae -
Riodinidae -
Roeslerstammiidae -
Saturniidae -
Schreckensteiniidae -
Scythrididae -
Sematuridae -
Sesiidae -
Simaethistidae -
Somabrachyidae -
Sphingidae -
Symmocidae -
Thyrididae -
Tineidae -
Tineodidae -
Tischeriidae -
Tortricidae -
Uraniidae -
Urodidae -
Whalleyanidae -
Yponomeutidae -
Ypsolophidae -
Zygaenidae





-

Popular posts from this blog

A CLEAN and SIMPLE way to add appendices to Table of Contents and bookmarks

Image
0 I found a lot of questions abount appendices and ToC. Many users want appendices to be grouped in an Appendix part, however some problems arise with ToC, hyperref, PDF viewer bookmarks, and so on. There are different solutions which require extra packages, command patching and other extra code, however none of them satisfies me. I almost found an easy way to accomplish a good result, where appendices are added to bookmarks in the right way and hyperref links point to the right page. However, the number of the "Appendix" part page is wrong (it's the number of appendix A). Is there any EASY way to fix that? This is a MWE: documentclass{book} usepackage[nottoc,notlot,notlof]{tocbibind} usepackage{hyperref} begin{document} frontmatter tableofcontents mainmatter part{First} chapter{
Read more

Contact image not getting when fetch all contact list from iPhone by CNContact

Image
up vote 0 down vote favorite I know this question already asked but not getting solution. From this code I will get all the information from the contact but image not found when open vcf files on mac os, also not getting when share this file. I use this stackoverflow link here but It's not help full. var contacts = [CNContact]() let keys = [CNContactVCardSerialization.descriptorForRequiredKeys() ] as [Any] let request = CNContactFetchRequest(keysToFetch: keys as! [CNKeyDescriptor]) do { try self.contactStore.enumerateContacts(with: request) { (contact, stop) in // Array containing all unified contacts from everywhere contacts.append(contact) } } catch { print("unable to fetch contacts") } do { let data = try
Read more

Calculate evaluation metrics using cross_val_predict sklearn

Image
1 In the sklearn.model_selection.cross_val_predict page it is stated: Generate cross-validated estimates for each input data point. It is not appropriate to pass these predictions into an evaluation metric. Can someone explain what does it mean? If this gives estimate of Y (y prediction) for every Y (true Y), why can't I calculate metrics such as RMSE or coefficient of determination using these results? python scikit-learn cross-validation share | improve this question edited Nov 28 '18 at 17:52 desertnaut 20.3k 7 43 79
Read more