Predictive ecological niche modelling of an important bio-control agent: Trichoderma harzianum (Rifai) using the MaxEnt machine learning tools with climatic and non-climatic predictors
Author:
Affiliation:
1. ICAR-Central Arid Zone Research Institute, Jodhpur, India
2. Computer Science Department, Jodhpur Institute of Engineering and Technology, Jodhpur, India
Publisher
Informa UK Limited
Subject
Insect Science,Agronomy and Crop Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/09583157.2023.2245985
Reference86 articles.
1. Deciphering Trichoderma–Plant–Pathogen Interactions for Better Development of Biocontrol Applications
2. Fungus under a Changing Climate: Modeling the Current and Future Global Distribution of Fusarium oxysporum Using Geographical Information System Data
3. Effect of soil texture and its organic content on the efficacy ofTrichoderma harzianum(MIAU 145 C) in controllingMeloidogyne javanicaand stimulating the growth of kidney beans
4. Vegetation cover density and disturbance affected arbuscular mycorrhiza fungi spore density and root colonization in a dry Afromontane forest, northern Ethiopia
5. Impact of Soil Chemical Properties on the Growth Promotion Ability of Trichoderma ghanense, T. tomentosum and Their Complex on Rye in Different Land-Use Systems
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