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Author: [Author Name(s)] Affiliation: [Institution/Department] Date: April 17, 2026 Abstract The selection of appropriate mycorrhizal inoculants for agricultural crops remains a trial-and-error process, often leading to suboptimal plant-fungal symbiosis. This paper presents MyCoM (Mycorrhizal Community Management) , a novel selection software that integrates phylogenetic trait matching, soil physicochemical data, and crop phenology to recommend optimal arbuscular mycorrhizal fungi (AMF) consortia. The software employs a weighted decision matrix based on three core modules: a host preference database, an environmental tolerance engine, and a functional trait optimizer. Validation against 12 controlled field trials shows that MyCoM-selected consortia increase root colonization rates by an average of 34% and phosphorus uptake efficiency by 27% compared to commercial generalist inoculants. This paper details the software’s architecture, algorithmic logic, user interface, and performance benchmarks.
[ C_hf = \fracN_studies(host, fungus) \cdot w_study + MD_host \cdot w_MDw_study + w_MD ]
[ Score(S) = \frac1k \sum_f \in S (C_hf \cdot E_score) \cdot (1 + \lambda \cdot FD(S)) ] mycom selection software
| Crop | Soil pH | T2 Colonization (%) | T3 Colonization (%) | T4 Colonization (%) | T3 P-uptake vs. T2 | |------|---------|---------------------|---------------------|---------------------|--------------------| | Maize | 6.2 | 42.3 (4.1) | 61.7 (3.8)* | 58.2 (5.2) | +31% | | Soybean| 5.8 | 38.7 (3.5) | 52.4 (4.0)* | 54.1 (3.9) | +26% | | Wheat | 7.4 | 31.2 (2.9) | 48.9 (3.3)* | 47.5 (4.1) | +24% | | Tomato | 6.5 | 45.0 (3.2) | 67.2 (4.4)* | 63.5 (4.8) | +29% |
Mycorrhiza, selection software, agroinformatics, symbiosis optimization, AMF inoculants 1. Introduction Arbuscular mycorrhizal fungi (AMF) form mutualistic associations with over 80% of terrestrial plants, enhancing water and nutrient acquisition in exchange for photosynthetic carbon (Smith & Read, 2008). Despite this potential, commercial mycorrhizal inoculants often fail in the field due to a mismatch between the fungal species selected and the specific crop–soil–climate context (Hart et al., 2018). Validation against 12 controlled field trials shows that
[ \mu_e(x) = \max\left(0, 1 - \fractol_e\right) ]
The authors declare no competing financial interests. The software is distributed under an MIT license. [ \mu_e(x) = \max\left(0
[ FD(S) = \frac2k(k-1) \sum_i<j d_ij ]
Author: [Author Name(s)] Affiliation: [Institution/Department] Date: April 17, 2026 Abstract The selection of appropriate mycorrhizal inoculants for agricultural crops remains a trial-and-error process, often leading to suboptimal plant-fungal symbiosis. This paper presents MyCoM (Mycorrhizal Community Management) , a novel selection software that integrates phylogenetic trait matching, soil physicochemical data, and crop phenology to recommend optimal arbuscular mycorrhizal fungi (AMF) consortia. The software employs a weighted decision matrix based on three core modules: a host preference database, an environmental tolerance engine, and a functional trait optimizer. Validation against 12 controlled field trials shows that MyCoM-selected consortia increase root colonization rates by an average of 34% and phosphorus uptake efficiency by 27% compared to commercial generalist inoculants. This paper details the software’s architecture, algorithmic logic, user interface, and performance benchmarks.
[ C_hf = \fracN_studies(host, fungus) \cdot w_study + MD_host \cdot w_MDw_study + w_MD ]
[ Score(S) = \frac1k \sum_f \in S (C_hf \cdot E_score) \cdot (1 + \lambda \cdot FD(S)) ]
| Crop | Soil pH | T2 Colonization (%) | T3 Colonization (%) | T4 Colonization (%) | T3 P-uptake vs. T2 | |------|---------|---------------------|---------------------|---------------------|--------------------| | Maize | 6.2 | 42.3 (4.1) | 61.7 (3.8)* | 58.2 (5.2) | +31% | | Soybean| 5.8 | 38.7 (3.5) | 52.4 (4.0)* | 54.1 (3.9) | +26% | | Wheat | 7.4 | 31.2 (2.9) | 48.9 (3.3)* | 47.5 (4.1) | +24% | | Tomato | 6.5 | 45.0 (3.2) | 67.2 (4.4)* | 63.5 (4.8) | +29% |
Mycorrhiza, selection software, agroinformatics, symbiosis optimization, AMF inoculants 1. Introduction Arbuscular mycorrhizal fungi (AMF) form mutualistic associations with over 80% of terrestrial plants, enhancing water and nutrient acquisition in exchange for photosynthetic carbon (Smith & Read, 2008). Despite this potential, commercial mycorrhizal inoculants often fail in the field due to a mismatch between the fungal species selected and the specific crop–soil–climate context (Hart et al., 2018).
[ \mu_e(x) = \max\left(0, 1 - \fractol_e\right) ]
The authors declare no competing financial interests. The software is distributed under an MIT license.
[ FD(S) = \frac2k(k-1) \sum_i<j d_ij ]
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