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Composts from green sources show an increased suppressiveness to soilborne plant pathogenic fungi: Relationships between physicochemical properties, disease suppression, and the microbiome

Authors :
Giovanna Cucci
Nicola Avella
Giovanni Lacolla
Luigi Patruno
Ugo De Corato
De Corato, U.
Patruno, L.
Avella, N.
Lacolla, G.
Cucci, G.
Source :
Crop Protection. 124:104870
Publication Year :
2019
Publisher :
Elsevier BV, 2019.

Abstract

The need for studying tailored composts, as new feedstocks become available with time, increases the in-depth studies of suppressive composts derived from green sources and agro-wastes recycling. The composition, diversity and variability of microbiomes within a collection of 10 composts were investigated by amplicon sequencing and bioinformatics analyses. The observed differences in microbiome structure were related to the different compost origin. The multi-suppressive properties of composts from agricultural residues, agro-industrial co/by-products, and plant green-waste showed the most complex microbiome structure, which included either biocontrol agents associated with the control of Rhizoctonia damping-off in bean and Verticillium wilt in eggplant or microbial consortia for controlling Pythium damping-off in cucumber and zucchini and Phytophthora root rot in tomato and azalea. In contrast, the pathogen-specific property of composts from municipal solid waste and co-composted cow manure household waste showed a microbiome that overall included biocontrol agents against Fusarium wilt in tomato, melon and basil. The highest correlations between physicochemical properties, disease suppression, and the microbiome have allowed to make a helpful matrix to know how relationships among these variables of composts could be established and quantified for predicting their suppressive properties basing on the physicochemical properties and the microbiome.

Details

ISSN :
02612194
Volume :
124
Database :
OpenAIRE
Journal :
Crop Protection
Accession number :
edsair.doi.dedup.....5fcc9b76f10dfa78f1487075f730f321
Full Text :
https://doi.org/10.1016/j.cropro.2019.104870