The Repellency of Pyrethrin Dusts to the Beet Leafhopper on Tomatoes1

1940 ◽  
Vol 33 (2) ◽  
pp. 389-393 ◽  
Author(s):  
B. F. Coon ◽  
Claude Wakeland
Keyword(s):  
Beet Leafhopper

Clover proliferation phytoplasma: ‘Candidatus Phytoplasma trifolii’

2004 ◽  
Vol 54 (4) ◽  
pp. 1349-1353 ◽  
Author(s):  
Chuji Hiruki ◽  
Keri Wang
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Reference Strain ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Rrna Gene ◽  
Beet Leafhopper ◽  
Signature Sequences ◽  
Elm Yellows ◽  
The 16S Rrna Gene

Clover proliferation phytoplasma (CPR) is designated as the reference strain for the CP phylogenetic group or subclade, on the basis of molecular analyses of genomic DNA, the 16S rRNA gene and the 16S–23S spacer region. Other strains related to CPR include alfalfa witches'-broom (AWB), brinjal little leaf (BLL), beet leafhopper-transmitted virescence (BLTV), Illinois elm yellows (ILEY), potato witches'-broom (PWB), potato yellows (PY), tomato big bud in California (TBBc) and phytoplasmas from Fragaria multicipita (FM). Phylogenetic analysis of the 16S rRNA gene sequences of BLL, CPR, FM and ILEY, together with sequences from 16 other phytoplasmas that belong to the ash yellows (AshY), jujube witches'-broom (JWB) and elm yellows (EY) groups that were available in GenBank, produced a tree on which these phytoplasmas clearly clustered as a discrete group. Three subgroups have been classified on the basis of sequence homology and the collective RFLP patterns of amplified 16S rRNA genes. AWB, BLTV, PWB and TBBc are assigned to taxonomic subgroup CP-A, FM belongs to subgroup CP-B and BLL and ILEY are assigned to subgroup CP-C. Genetic heterogeneity between different isolates of AWB, CPR and PWB has been observed from heteroduplex mobility assay analysis of amplified 16S rRNA genes and the 16S–23S spacer region. Two unique signature sequences that can be utilized to distinguish the CP group from others were present. On the basis of unique properties of the DNA from clover proliferation phytoplasma, the name ‘Candidatus Phytoplasma trifolii’ is proposed for the CP group.

Experiments With a Dusting Machine to Control the Beet Leafhopper (Eutettx Tenella Baker) With Nicotine Dust

1921 ◽  
Vol 14 (5) ◽  
pp. 405-410 ◽  
Author(s):  
Henry H. P. Severin ◽  
William J. Hartung ◽  
Edward A. Schwing ◽  
William W. Thomas
Keyword(s):  
Beet Leafhopper

scholarly journals Prediction of Early Season Beet Leafhopper Populations in Southern New Mexico

2020 ◽  
Vol 21 (1) ◽  
pp. 71-76
Author(s):  
Erik Lehnhoff ◽  
Rebecca Creamer
Keyword(s):  
New Mexico ◽  
Weed Management ◽  
Broad Host Range ◽  
Insect Vector ◽  
Early Season ◽  
Beet Leafhopper ◽  
Beet Curly Top Virus ◽  
Circulifer Tenellus ◽  
Sisymbrium Irio ◽  
The Relationship

Curly top is an important widespread disease in semiarid regions that can be caused by several Curtovirus and Becurtovirus species. The strains of beet curly top virus (BCTV) have been some of the most widely reported to be associated with curly top. The viruses causing curly top are phloem limited and transmitted by the beet leafhopper (BLH), Circulifer tenellus Baker (Hemiptera: Cicadellidae). The BLH can also transmit other important pathogens such as phytoplasmas. Both the virus and insect vector have a broad host range of crops and weeds, including the winter annual weed London rocket (Sisymbrium irio L.). Prior prediction of disease would allow growers a window of opportunity to make informed management choices. A prediction model of BLH abundance was developed for southern New Mexico based on fall precipitation, which corresponds with London rocket emergence, and BLH sticky trap catch data for 2001 to 2018. Regression analyses showed positive associations between BLH numbers and October + November rainfall (P < 0.001) for two areas within southern New Mexico. A third area, where good weed management was used, had lower BLH numbers, and the relationship with precipitation was not significant (P = 0.190). Cumulative-season BLH abundance was correlated with BLH abundance in late April (r = 0.43) and late May (r = 0.56), indicating that early season knowledge of BLH abundance is useful for planning later season management. Although models based on October + November precipitation are good predictors of BLH abundance through June, they may not predict year-long BLH abundance because other environmental and biological factors contribute to subsequent BLH success and movement.

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