We recently worked with a client managing four different fields.
One of them stood out. It showed significantly lower bacterial and fungal diversity compared to the others.
We started digging into the data.
We recently worked with a client managing four different fields.
One of them stood out. It showed significantly lower bacterial and fungal diversity compared to the others.
We started digging into the data.
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.
#MicrobeMonday
#MicrobeMonday
I’m kicking off Pint of Science Hamburg 2025 on May 21 with a talk about why soil health is key to our future. Come for the science, stay for the beer, and leave with a new appreciation for dirt! 🍻
I’m kicking off Pint of Science Hamburg 2025 on May 21 with a talk about why soil health is key to our future. Come for the science, stay for the beer, and leave with a new appreciation for dirt! 🍻
With metabarcoding, we extract and sequence DNA from soil to identify bacteria, fungi, and more.
It helps us understand soil health, biodiversity, and ecosystem function.
DNA is our window into the hidden life underground.
#DNAday #SoilMicrobiome #Metabarcoding #SoilHealth
With metabarcoding, we extract and sequence DNA from soil to identify bacteria, fungi, and more.
It helps us understand soil health, biodiversity, and ecosystem function.
DNA is our window into the hidden life underground.
#DNAday #SoilMicrobiome #Metabarcoding #SoilHealth
▶️ plos.io/4hSbLUa
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)
Environmental DNA is more effective than hand sorting in evaluating earthworm biodiversity recovery under regenerative agriculture
doi.org/10.1016/j.sc...