US 12,247,968 B2
Methods and systems for generating and applying agronomic indices from microbiome-derived parameters
Alberto Acedo, Castile and León (ES); Héctor Ortega-Arranz, Valladolid (ES); Daniel Almonacid, Lafayette, CA (US); Adrian Ferrero, La Bañeza (ES); and Beatriz Garcia Jimenez, Madrid (ES)
Assigned to Biome Makers Inc., Davis, CA (US)
Filed by Biome Makers Inc., West Sacramento, CA (US)
Filed on Feb. 4, 2022, as Appl. No. 17/665,332.
Claims priority of provisional application 63/182,498, filed on Apr. 30, 2021.
Claims priority of provisional application 63/167,597, filed on Mar. 29, 2021.
Claims priority of provisional application 63/167,628, filed on Mar. 29, 2021.
Claims priority of provisional application 63/152,333, filed on Feb. 22, 2021.
Prior Publication US 2022/0268756 A1, Aug. 25, 2022
Int. Cl. G01N 33/24 (2006.01); A01B 79/00 (2006.01); G06N 20/00 (2019.01)
CPC G01N 33/24 (2013.01) [A01B 79/005 (2013.01); G06N 20/00 (2019.01); G01N 33/243 (2024.05); G01N 33/245 (2024.05); G01N 33/248 (2024.05)] 21 Claims
OG exemplary drawing
 
1. A method for generating agronomic indices and executing one or more actions in response to said agronomic indices at an agriculture site, the method comprising:
receiving a set of samples associated with the agriculture site;
generating a sample dataset upon processing the set of samples with a set of sample processing operations comprising spiking the set of samples with a synthetic construct comprising a structure of: [16S Forward Primer][ITS Forward Primer][Random Sequence comprising a 16S sequence and an ITS sequence][16S Reverse Complement Primer][ITS Reverse Complement Primer];
generating a set of microbiome-associated features upon performing a set of transformation operations upon the sample dataset, wherein the set of microbiome-associated features comprises a first subset of taxonomic annotations, a second subset of functional annotations and a third subset of ecological indices, wherein generating the set of microbiome-associated features comprises simultaneously generating absolute concentrations of each bacterial organism and each fungal organism represented in the set of samples, based upon a copy number of the synthetic construct;
generating values of a set of agronomic indices based upon the set of microbiome-associated features; and
executing an action for improving fertility at the agriculture site, based upon the set of agronomic indices.