Soil chemical properties influence abundance of nematode trophic groups and Ralstonia solanacearum in high tunnel tomato production

Author:

Ngeno Daisy Chepkoech,Murungi Lucy KananuORCID,Fundi Davis Ireri,Wekesa Vitalis,Haukeland SolveigORCID,Mbaka Jesca

Abstract

Background: Plant parasitic nematodes (PPNs) and bacterial wilt (Ralstonia solanacearum) are serious soil-borne pests in tomato (Solanum lycopersicon L) production in high tunnels. This study was undertaken to determine effects of soil chemical properties on their abundance. Method: Soil samples were collected from 32 high tunnels in the sub-counties: Gatundu North, Gatundu South, Juja, Thika, Ruiru and Kiambu, Kenya, from January to November 2016. Nematodes genera, R. solanacearum and soil chemical properties were evaluated from composite soil samples collected from the high tunnels. Results: The soil pH and N, P, K, Ca, Mg, Na and Cu varied across sub-counties. Twenty-four nematode genera including 14 PPNs, 5 bacterivores, 3 fungivores and 2 predators were recovered from soil samples. The genera Meloidogyne, Alaimus, Aporcelaimus and Mononchus were the most abundant PPNs, bacterivores, fungivores and predators, respectively, and differed across sub-counties. The abundance of Meloidogyne spp. and R. solanacearum was higher in Gatundu North than in the other sub-counties. There was a strong, positive correlation between Meloidogyne spp. (second stage juveniles counts) population and R. solanacearum (cfu∙mL-1) with soil N and P, and a weak negative correlation with soil pH, EC, Zn and Cu. Fungal feeders exhibited a strong negative correlation with soil pH and Ca; predators, bacterial feeders, and PPNs had similar correlations with N, P and Ca, respectively. Conclusion: Soil chemical properties affect abundance of beneficial and phytoparasitic nematodes and R. solanacearum, which varies with location.

Funder

Regional Universities Forum for Capacity Building in Agriculture

Publisher

F1000 Research Ltd

Reference70 articles.

1. Ministry of Agriculture Strategy 2015-2019,2014

2. Kenya Meteorological Department,2017a

3. R: A language and environment for statistical computing.,2017b

4. Productivity, profitability and partial nutrient balance in maize-based conventional and organic farming systems in Kenya.;N Adamtey;Agr Ecosyst Environ.,2016

5. Plant pathology;G Agrios,2005

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