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We thank agronomy engineer Leila Aubrift (Instituto de Desenvolvimento Rural do Parana [IDR/Lapa]-PR) who helped us to contact the strawberry growers. We also thank Dr. Alfredo Junior Paiola Albrecht (Universidade Federal do Parana, UFPR) who helped with the information about the phenology of weed species. We thank the strawberry growers who allowed us to conduct this study in their fields, and the anonymous reviewers who helped improve the manuscript. We also thank the Bioagro Comercial Agropecuaria for the support offered to the development of the Integrated Production of Strawberry project in the Parana State of Brazil. Finally, we thank Angelo Cabral (Laboratorio de Estatistica Aplicada, UFPR) for the assistance with the statistical analysis.

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Miras-Avalos, Jose Manuel - Autor o Coautor
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Publicaciones > Artículo

Acarofauna present in organic strawberry fields and associated weed species in southern Brazil

Publicado en:Experimental And Applied Acarology. 86 (1): 91-115 - 2022-01-01 86(1), doi: 10.1007/s10493-021-00675-7

Miras-Avalos, Jose Manuel;

Afiliaciones

Agencia Def Agr ADAPAR, Rua Funcionarios 1559, BR-80003505 Curitiba, Parana, Brazil - Autor o Coautor
Centro de Investigación y Tecnología Agroalimentaria de Aragón - Entidad de origen
CSIC, Ctr Invest & Tecnol Agroalimentaria Aragon CITA, Unidad Suelos & Riegos Asociada EEAD, Av Montanana 930, Zaragoza 50059, Spain - Autor o Coautor
Univ Fed Parana UFPR, Dept Patol Basica, Setor Ciencias Biol, BR-81531990 Curitiba, Parana, Brazil - Autor o Coautor
Univ Vale Taquari Univates, Lab Acarol, Tecnovates, BR-95900000 Lajeado, RS, Brazil - Autor o Coautor
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Resúmen

Resúmen: The presence of weeds in the margins of strawberry crops can enhance populations of predatory mites as a measure to support conservation biological control. The aims of this study were (i) to assess the composition of the acarofauna associated with strawberries and the accompanying herbaceous plants in an organic farming system, and (ii) to evaluate the possible relationships between phytophagous and predatory mites occurring in this system. Strawberry leaves and whole plants of weeds were sampled biweekly from August 2014 to February 2015 in Lapa (Parana, Brazil). In total, 23 weed species belonging to 10 families were identified; 3768 mite individuals (from 15 families and 4 suborders) were recovered, 77% on strawberries and 23% on weeds. Abundance of predatory mites on weeds was greater than on strawberry cultivars. On strawberries, the most abundant family was Tetranychidae (84%) followed by Phytoseiidae (11.6%). In total, 16 predatory mite species from the Phytoseiidae family were identified, 13 of them occurring on strawberry leaflets. Typholodromalus aripo, Neoseiulus californicus and Typhlodromips mangleae were the most abundant mite species on strawberry leaves. On weeds, most individuals were predatory mites (59%), whereas phytophagous mites represented 17.2%. The most abundant family was Phytoseiidae (36.4%). On weeds, the phytoseiid mite T. aripo was the most abundant species, representing 34.7%. Besides being found on strawberry leaflets, T. aripo was associated with 15 weed species. Among the weeds, Bidens pilosa showed the highest values of the Shannon index (1.97), Margalef index (3.04), and Pielou's evenness index (0.95). This study emphasizes the importance of surrounding weeds as a shelter for beneficial mitefauna in strawberry fields, likely contributing to enhance conservation biological control.

Palabras clave: bidens pilosa; conservation biocontrol; fragaria x ananassa; tetranychus urticae; typhlodromips mangleae; Bidens pilosa; Biological-control; Conservation biocontrol; Fragaria x ananassa; Grande-do-sul; Mites acari; Phytoseiid predators; Plant; Predatory mites; State; Stigmaeidae; Tetranychus urticae; Tetranychus-urticae acari; Typhlodromips mangleae; Typholodromalus aripo; Vegetation

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WoS Scopus by Scimago
Best Categ.EntomologyInsect Science
WoSScopus by ScimagoSPIFecytAgaurDialnetCircCapesMiar
IF2.3800.576--0.000
Rank35/10042/170
QQ2Q2-----A1
DD4D3-
TT2T1
PP66P25
Index ERIC-
Index Emergin-
Index AHCI-