Data underlying the publication: Chitin- and keratin-rich soil amendments suppress Rhizoctonia solani disease via changes to the soil microbial community
Datacite citation style:
WUR Data Librarian; Schilder, Mirjam; Nijhuis, Els; te Beest, Dennis; Bloem, Jaap et. al. (2021): Data underlying the publication: Chitin- and keratin-rich soil amendments suppress Rhizoctonia solani disease via changes to the soil microbial community. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/12971528.v1
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Dataset
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version 1 - 2021-03-25
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geolocation
Netherlands
time coverage
2016-2017
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CC BY-SA 4.0
Microbial and chemical-physical data from soil samples treated with ten organic products were selected to assess their potential to enhance disease suppression in soil. After the products were amended into two different arable soils, pot experiments were performed to assess soil suppressiveness against the fungal pathogen Rhizoctonia solani. In addition, several soil characteristics were analyzed, as well as the bacterial and fungal community composition and how microorganisms interact within these communities, to better understand the effect of the organic amendments on creating disease suppressive soils.
history
- 2021-03-25 first online, published, posted
publisher
4TU.ResearchData
organizations
Biointeractions and Plant Health, Wageningen University & Research
DATA
files (14)
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README_Andreo-Jimenez_et_al.txt - 39,772 bytesMD5:
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Data10_Bacteria_soil_parameters.csv - 41,297 bytesMD5:
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Data11_Fungi_soil_parameters.csv - 681,617 bytesMD5:
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Data12_Rank_list_species_CCA.xlsx - 1,297 bytesMD5:
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Data1_products_properties.csv - 4,568,599 bytesMD5:
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Data2_Bacteria_taxonomy_16S.zip - 201,985 bytesMD5:
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Data3_Fungi_taxonomy_unite_ITS2.tsv - 33,529 bytesMD5:
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Data4_Bacteria_ASV_keratin-chitin_from_CCA.csv - 30,171 bytesMD5:
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Data5_Fungi_ASV_keratin-chitin_from_CCA.csv - 6,945,512 bytesMD5:
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Data6_Bacteria_table_counts_16S.tsv - 603,940 bytesMD5:
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Data7_Fungi_table_counts_ITS.tsv - 23,323 bytesMD5:
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Data8_Bacteria_metadata_16S.tsv - 28,880 bytesMD5:
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Data9_Fungi_metadata_ITS.csv - 67,267 bytesMD5:
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statistics_2020.R -
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