Distribution of parasitic nematodes in Kenyan rice fields and their relation to edaphic factors, rainfall and temperature

• Published in: Tropical plant pathology Vol. 43; no. 2; pp. 128 - 137
• Main Authors: Namu, John, Karuri, Hannah, Alakonya, Amos, Nyaga, Justin, Njeri, Editah
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.04.2018; Springer Nature B.V
• Subjects: Abundance; Agricultural production; Biomedical and Life Sciences; Corn; Information management; Life Sciences; Nematodes; Original Article; Oryza; Plant Pathology; Potassium; Rainfall; Rice fields; Sodium; Soil properties; Temperature effects; Wheat; Kenya; Rainfall; Minimum temperature; Nematode diversity
• ISSN: 1983-2052; 1982-5676; 1983-2052
• DOI: 10.1007/s40858-017-0194-9

Rice is the third most important crop in Kenya after maize and wheat. Plant parasitic nematodes (PPN) are a major rice production constraint. The objective of this study was to determine the distribution and abundance of rice PPN in Kenya and their association with environmental variables. Soil and plant samples were collected from rainfed upland and irrigated lowland rice fields in Kirogo, Thiba, Nyangati, Ombeyi, Kombura, Kakola and Mwambe Sub-locations. Twenty-two PPN genera were identified across all Sub-locations with the highest (20) number of nematode genera recorded in rainfed upland rice fields. The nematode genera Scutellonema , Hoplolaimus, Ditylenchus, Hemicycliophora, Heterodera, Paralongidorus and Tylenchus were not recorded in the irrigated lowland rice fields while Criconemella and Tylenchorhynchus were not observed in rainfed upland fields. Canonical correspondence analysis of the relationship between soil properties and nematode abundance revealed a significant ( P  < 0.05) relationship between PPN abundance and potassium, sodium, sand and clay. The relationship between rainfall, minimum temperature and nematode genera was significant ( P  < 0.05) while maximum temperature was not significant ( P  = 0.928). Our results provide critical information for designing nematode management strategies in Kenyan rice fields.