[ \mu_e(x) = \max\left(0, 1 - \fractol_e\right) ]
[ Score(S) = \frac1k \sum_f \in S (C_hf \cdot E_score) \cdot (1 + \lambda \cdot FD(S)) ]
where ( d_ij ) is the Euclidean distance between trait vectors ( T_i ) and ( T_j ), and ( k = |S| ). The final score for a consortium is: mycom selection software
where ( opt_e ) is the fungal optimum and ( tol_e ) is the half-tolerance width. The overall environmental suitability ( E_score ) is the geometric mean of ( \mu_e ) across all soil variables. To avoid recommending redundant fungi, MyCoM includes a complementarity penalty. Let ( T_f ) be the trait vector of fungus ( f ). For a candidate consortium ( S ), the functional diversity ( FD ) is:
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. [ \mu_e(x) = \max\left(0, 1 - \fractol_e\right) ]
[ FD(S) = \frac2k(k-1) \sum_i<j d_ij ]
[ C_hf = \fracN_studies(host, fungus) \cdot w_study + MD_host \cdot w_MDw_study + w_MD ] To avoid recommending redundant fungi, MyCoM includes a
| 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% |