Occurrence of parasitic nematodes infecting cucumber in Kwara State, Nigeria

Management of nematodes required identification and quantification of the plant parasitic nematode species causing infection so as to develop control strategies. The experiment was carried out to determine the abundance of plant parasitic nematodes associated with cucumber in Kwara State. Two hundred and fifty grams (250g) of rhizospheric soil were collected from 18 cm depth, and ten grams of root samples were collected from each of 20 farms across the four Agricultural Development Programme (ADP) delineated agricultural zones of Kwara State following the zigzag sampling technique for nematode extraction and identification. Nematodes were extracted using the Baermann technique and were counted using the standard nematode counting dish; also, soil samples collected from each zone were also exposed to soil tests. Data were analyzed using descriptive statistics. Ten plant parasitic nematode genera were identified, and the most prevalent was Meloidogyne spp. with a 7143.00/250 ml mean population density, followed by Pratylenchus spp, while the least was Rotylenchus spp. having a mean population density of 48.00/250 ml suspension. The study concluded that root-knot nematodes (Meloidogyne species) were the most abundant in cucumber-growing fields of Kwara State. Therefore, subsequent build-up of these plant-parasitic nematodes should be periodically monitored by plant nematologists because cucumbers are good hosts of plant-parasitic nematodes, and early observation of population increase will be checked before it gets out of hand.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-30
DOI
https://doi.org/10.5281/zenodo.14411844
Primary Topic
Nematode management and characterization studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Occurrence of parasitic nematodes infecting cucumber in Kwara State, Nigeria

Zenodo (CERN European Organization for Nuclear Research)
Nematode management and characterization studies
article

Occurrence of parasitic nematodes infecting cucumber in Kwara State, Nigeria

article en

Abstract

Management of nematodes required identification and quantification of the plant parasitic nematode species causing infection so as to develop control strategies. The experiment was carried out to determine the abundance of plant parasitic nematodes associated with cucumber in Kwara State. Two hundred and fifty grams (250g) of rhizospheric soil were collected from 18 cm depth, and ten grams of root samples were collected from each of 20 farms across the four Agricultural Development Programme (ADP) delineated agricultural zones of Kwara State following the zigzag sampling technique for nematode extraction and identification. Nematodes were extracted using the Baermann technique and were counted using the standard nematode counting dish; also, soil samples collected from each zone were also exposed to soil tests. Data were analyzed using descriptive statistics. Ten plant parasitic nematode genera were identified, and the most prevalent was Meloidogyne spp. with a 7143.00/250 ml mean population density, followed by Pratylenchus spp, while the least was Rotylenchus spp. having a mean population density of 48.00/250 ml suspension. The study concluded that root-knot nematodes (Meloidogyne species) were the most abundant in cucumber-growing fields of Kwara State. Therefore, subsequent build-up of these plant-parasitic nematodes should be periodically monitored by plant nematologists because cucumbers are good hosts of plant-parasitic nematodes, and early observation of population increase will be checked before it gets out of hand.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 77%
Nematode management and characterization studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.