Prevalence and population dynamics of whitefly transmitting horsegram yellow mosaic disease in northern Karnataka

SONAM R. PINJAR; G. U. PREMA; GURUPAD BALOL; SPURTHI N. NAYAK

doi:10.61475/JFS.2024.v37i4.11

SONAM R. PINJAR Department of Plant Pathology, College of Agriculture, Dharwad University of Agricultural Sciences, Dharwad - 580 005, India
G. U. PREMA Department of Plant Pathology, College of Agriculture, Dharwad University of Agricultural Sciences, Dharwad - 580 005, India
GURUPAD BALOL Department of Plant Pathology, College of Agriculture, Dharwad University of Agricultural Sciences, Dharwad - 580 005, India
SPURTHI N. NAYAK Department of Biotechnology, College of Agriculture, Dharwad University of Agricultural Sciences, Dharwad - 580 005, India

DOI: https://doi.org/10.61475/JFS.2024.v37i4.11

Keywords: Horsegram, Population dynamics, Survey, Whitefly, Yellow mosaic disease

Abstract

Horsegram (Macrotyloma uniûorum (Lam.) Verdc.) is an underutilized multi-purpose legume crop with inherent stress tolerance, high seed protein, dietary fibre, micronutrients and nutraceutical properties. Yellow Mosaic Disease (YMD) poses a significant challenge to horsegram production in India, potentially resulting in complete yield loss. Accordingly, fixed plot survey for incidence of YMD in horsegram across northern parts of Karnataka during summer 2023-24 and population dynamics of whitefly transmitting YMD in horsegram at Dharwad was carried out. Survey indicated the present status of YMD of horsegram in four districts of northern parts of Karnataka during summer 2023-24. Highest disease incidence was observed in Agricultural Research Station, Bailhongal (48.72%), followed by Regional Agricultural Research Station, Vijayapura (40.18%), Main Agricultural Research Station, Dharwad (35.98%) and least disease incidence was observed in Agricultural Research Station, Bagalkot (20.47%). The whitefly population was highest during 11th and 10th Standard Meteorological Weeks (SMWs), with mean values of 81.2 and 70.3, respectively. The whitefly population buildup showed significant positive correlation with temperature and sunshine duration and negative correlation with relative humidity and rainfall. The whitefly population increased with the rise of maximum temperature and decline of rainfall.