• Corpus ID: 226226521

Using Multivariate Generalised Linear Mixed Models for Studying Roots Development: An Example Based on Minirhizotron Observations.

@article{Pelck2020UsingMG,
  title={Using Multivariate Generalised Linear Mixed Models for Studying Roots Development: An Example Based on Minirhizotron Observations.},
  author={Jeanett S. Pelck and Rodrigo Labouriau},
  journal={arXiv: Applications},
  year={2020}
}
The characterisation of the spatial and temporal distribution of the root system in a cultivated field depends on the soil volume occupied by the root systems (the scatter), and the local intensity of the root colonisation in the field (the intensity). We introduce a multivariate generalised linear mixed model for simultaneously describing the scatter and the intensity using data obtained with minirhizotrons (i.e., tubes with observation windows, which are inserted in the soil, enabling to… 

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References

SHOWING 1-10 OF 33 REFERENCES
Multivariate Generalised Linear Mixed Models With Graphical Latent Covariance Structure
This paper introduces a method for studying the correlation structure of a range of responses modelled by a multivariate generalised linear mixed model (MGLMM). The methodology requires the existence
Root Growth and Nitrate Uptake of Three Different Catch Crops in Deep Soil Layers
Catch crops can reduce NO3 losses from leaching, but little is known about the importance of deep rooting for the efficiency of NO3 depletion. In a field experiment, we investigated the N uptake and
Effects of vertical distribution of soil inorganic nitrogen on root growth and subsequent nitrogen uptake by field vegetable crops
Information is needed about root growth and N uptake of crops under different soil conditions to increase nitrogen use efficiency in horticultural production. The purpose of this study was to
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
TLDR
This work extends Chow and Liu's approach to find the forest optimizing a penalized likelihood criterion, for example AIC or BIC, and applies it to three datasets, to handle data with both discrete and Gaussian variables.
Controlled traffic farming increased crop yield, root growth, and nitrogen supply at two organic vegetable farms
Deep root growth and nitrogen uptake by rocket (Diplotaxis tenuifolia L.) as affected by nitrogen fertilizer, plant density and leaf harvesting on a coarse sandy soil
TLDR
Management practices that increased root growth and N uptake were found to increase NUE in rocket production early in the season, and smaller applications, plant density, leaf harvesting and other changes of management are required to reduce leaching.
Conditional Inference for Multivariate Generalised Linear Mixed Models
We propose a method for inference in generalised linear mixed models (GLMMs) and several extensions of these models. First, we extend the GLMM by allowing the distribution of the random components to
Regulation of N2O emissions from acid organic soil drained for agriculture
Abstract. Organic soils drained for crop production or grazing land are agroecosystems with potentially high but variable emissions of nitrous oxide ( N2O ). The present study investigated the
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