Global distribution modelling of macrophomina phaseolina (tassi) goid: a comparative assessment using ensemble machine learning tools
Author:
Publisher
Springer Science and Business Media LLC
Subject
Plant Science
Link
https://link.springer.com/content/pdf/10.1007/s13313-023-00927-7.pdf
Reference117 articles.
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2. Ahmad R, Khuroo AA, Hamid M, Charles B, Rashid I (2019) Predicting invasion potential and niche dynamics of Parthenium hysterophorus (Congress grass) in India under projected climate change. Biodivers Conserv https://doi.org/10.1007/s1053
3. Akhtar KP, Sarwar G, Arshad HMI (2011) Temperature response, pathogenicity, seed infection and mutant evaluation against Macrophomina phaseolina causing charcoal rot disease of sesame. Arch Phytopath Plant Prot 44:320–330
4. Al-Hazmi AS, Dawabah AAM, Al-Nadhary SN, Al-Yahya FA, Lafi HA (2017) Influence of soil texture and moisture on the interaction of Meloidogyne javania and Macrophomina phaseolina on green beans. J Exp Biol Agric Sci. https://doi.org/10.18006/2017.5(Spl-1-SAFSAW).S148.S154
5. Amissah GMJ, Bongers F, Hawthorne WD, Poorter L (2014) Rainfall and temperature affect tree species distribution in Ghana. J Trop Ecol 30:435–446
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1. Habitat suitability of Opuntia ficus-indica (L.) MILL. (CACTACEAE): a comparative temporal evaluation using diverse bio-climatic earth system models and ensemble machine learning approach;Environmental Monitoring and Assessment;2024-02-03
2. Abiotic stress impact on the interaction between Macrophomina phaseolina and crop plants;Plant Physiology Reports;2023-11-03
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