Predicting the Severity of Alfalfa Root rot Disease Under Salinity Conditions | ||
| Assiut Journal of Agricultural Sciences | ||
| Volume 54, Issue 4, October 2023, Pages 154-167 PDF (1.39 M) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ajas.2023.223841.1280 | ||
| Authors | ||
| Khaled Hussein Arafat1; Mohammed H.A. Hassan2; Omar H.H. Mahmoud* 1 | ||
| 1Plant Pathology Department, Faculty of Agriculture, New Valley University. Egypt. | ||
| 2Plant Pathology Department, Faculty of Agriculture, Assiut University, Egypt. | ||
| Abstract | ||
| Alfalfa roots are infected with several fungal pathogens under salinity conditions. The effect of two salts of NaCl and CaCO3 at three concentrations was studied in vitro. Mycelial growth and disease severity (DS%) were estimated to determine the relationship between (DS%) and water salinity. The highest effect on mycelial growth was detected at the electrical conductivity (ECW value) of 18.75 ds/m2 which ranged from 8.80 and 9.44% with NaCl and CaCO3, respectively. Furthermore, Exserohilum sp. was the most affected by water salinity. With the different levels of water salinity, the DS% of alfalfa root rot increased gradually with the increased water salinity level. The highest level of water salinity with NaCl and CaCO3 ECW value at 18.75 ds/m2 ranged (42.76 and 43.53% severity for NaCl) and (44.04 and 44.42% severity for CaCO3, respectively). Moreover, with water salinity NaCl and CaCO3, Fusarium sp. was the highest (DS%) with NaCl. Alfalfa root rot prediction model based on information gathered from the interaction of pathogen, water salinity, disease severity, and root and shoot length. It was found the relation between DS% with fungi, salt type, salt concentration, root and shoot length in the multiple regression model (r2 =88.83%). | ||
| Keywords | ||
| Alfalfa; Root rots; Water salinity; Prediction models | ||
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