@soilytix.bsky.social
🌱 This is the official Soilytix company account, managed by our team members—from lab scientists 🧑🔬 to soil scientists 🌍—sharing exciting discoveries 🔬 with a focus on soil and eDNA 🧬.
How to measure soil texture?
Traditional sieving and sedimentation is highly laborious and requires significant training for personnel.
Laser diffraction analysis can reliably achieve results highly consistent with ISO11277:2020 (doi.org/10.1111/ejss...)
Contact us for further questions.
Traditional sieving and sedimentation is highly laborious and requires significant training for personnel.
Laser diffraction analysis can reliably achieve results highly consistent with ISO11277:2020 (doi.org/10.1111/ejss...)
Contact us for further questions.
July 14, 2025 at 8:32 AM
How to measure soil texture?
Traditional sieving and sedimentation is highly laborious and requires significant training for personnel.
Laser diffraction analysis can reliably achieve results highly consistent with ISO11277:2020 (doi.org/10.1111/ejss...)
Contact us for further questions.
Traditional sieving and sedimentation is highly laborious and requires significant training for personnel.
Laser diffraction analysis can reliably achieve results highly consistent with ISO11277:2020 (doi.org/10.1111/ejss...)
Contact us for further questions.
Want to boost your agricultural field trials?
Even within an acre, soil texture is not homogenous but has significant spatial structure.
Costly field trials can suffer from reduced statistical power when this is not accounted for.
Measure soil texture and include it as a covariate in your model.
Even within an acre, soil texture is not homogenous but has significant spatial structure.
Costly field trials can suffer from reduced statistical power when this is not accounted for.
Measure soil texture and include it as a covariate in your model.
July 14, 2025 at 8:32 AM
Want to boost your agricultural field trials?
Even within an acre, soil texture is not homogenous but has significant spatial structure.
Costly field trials can suffer from reduced statistical power when this is not accounted for.
Measure soil texture and include it as a covariate in your model.
Even within an acre, soil texture is not homogenous but has significant spatial structure.
Costly field trials can suffer from reduced statistical power when this is not accounted for.
Measure soil texture and include it as a covariate in your model.
Remarkably, the same locally trained model also predicted plant growth differences in global datasets, suggesting a highly conserved interconnection between the soil microbiome and plant performance across environments.
doi.org/10.1016/j.sc...
#SoilMicrobiome #MachineLearning #AgTech (2/2)
doi.org/10.1016/j.sc...
#SoilMicrobiome #MachineLearning #AgTech (2/2)
March 27, 2025 at 9:17 AM
Remarkably, the same locally trained model also predicted plant growth differences in global datasets, suggesting a highly conserved interconnection between the soil microbiome and plant performance across environments.
doi.org/10.1016/j.sc...
#SoilMicrobiome #MachineLearning #AgTech (2/2)
doi.org/10.1016/j.sc...
#SoilMicrobiome #MachineLearning #AgTech (2/2)
#Soil microbiome signatures predict maize yield - and beyond. 🌱🧬
A recent study by us demonstrates that within-field differences in maize yield on a German farm can be well predicted using machine learning models trained on soil microbiome data. (1/2)
A recent study by us demonstrates that within-field differences in maize yield on a German farm can be well predicted using machine learning models trained on soil microbiome data. (1/2)
March 27, 2025 at 9:17 AM
#Soil microbiome signatures predict maize yield - and beyond. 🌱🧬
A recent study by us demonstrates that within-field differences in maize yield on a German farm can be well predicted using machine learning models trained on soil microbiome data. (1/2)
A recent study by us demonstrates that within-field differences in maize yield on a German farm can be well predicted using machine learning models trained on soil microbiome data. (1/2)