Counteracting Grey Mould (Botrytis cinerea) in Grapevine ‘Glera’ Using Three Putative Biological Control Agent Strains (Paraburkholderia sp., Pseudomonas sp., and Acinetobacter sp.): Impact on Symptoms, Yield, and Gene Expression

Author:

Mian Giovanni1ORCID,Belfiore Nicola2,Marcuzzo Patrick2ORCID,Spinelli Francesco1ORCID,Tomasi Diego3,Colautti Andrea4ORCID

Affiliation:

1. Department of Agricultural and Food Sciences, Alma Mater Studiorum Università di Bologna, 40129 Bologna, Italy

2. Council for Agricultural and Economics-Research-Centre for Viticulture and Oenology, Viale Aprile, 26, 31015 Conegliano, Italy

3. Consorzio Tutela del Vino Conegliano Valdobbiadene Prosecco, Piazza Libertà, 7, 31053 Pieve di Soligo, Italy

4. Department of Agricultural, Food, Environmental and Animal Science (Di4A), University of Udine, 33100 Udine, Italy

Abstract

This study examined the potential use of three bacterial strains—Paraburkholderia sp. strain CRV74, Pseudomonas sp. strain CRV21, and Acinetobacter sp. strain CRV19—as biocontrol agents of Botrytis cinerea in grapevine. These strains were selected for their ability to inhibit B. cinerea growth in vitro and used in field conditions for the control of grey mould symptoms in ‘Glera’ grapes. To this end, after inoculating these microorganisms onto plants sprayed with B. cinerea spores, the final yield, the physicochemical characteristics of the must, disease incidence, and the possible influence on the expression of plant-defence proteins were evaluated. Strain CRV21 resulted as being the most effective in combating grey mould (−20% of disease incidence). Although yield was not affected, significantly different values of total soluble solids content was observed. Additionally, a significant up-regulation of the genes PR-1, PR-5, β-1,3-glucanase, and class III chitinase was observed. These findings highlight the potential application of strains with anti-botrytis activity as sustainable alternatives to chemical defence for the control of this pathogen.

Funder

Giovanni Mian, Agronomist Freelancer

Publisher

MDPI AG

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3