Mycom Selection Software May 2026

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 - \fracx - opt_etol_e\right) ] mycom selection software

[ Score(S) = \frac1k \sum_f \in S (C_hf \cdot E_score) \cdot (1 + \lambda \cdot FD(S)) ] [ \mu_e(x) = \max\left(0, 1 - \fracx -

where ( N_studies ) is the number of positive citations and ( MD_host ) is the mycorrhizal dependency score (0–1). Fungi with ( C_hf < 0.3 ) are excluded. User-input soil data (pH, %OM, P-availability) is compared against each fungus’s tolerance range. For each environmental variable ( e ), a membership function ( \mu_e ) is defined: For each environmental variable ( e ), a

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.

[ FD(S) = \frac2k(k-1) \sum_i<j d_ij ]

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: