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Bernardo Maestrini

Researcher at Wageningen University and Research Centre

Publications -  23
Citations -  886

Bernardo Maestrini is an academic researcher from Wageningen University and Research Centre. The author has contributed to research in topics: Organic matter & Calibration (statistics). The author has an hindex of 12, co-authored 22 publications receiving 617 citations. Previous affiliations of Bernardo Maestrini include University of Zurich & Michigan State University.

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A meta-analysis on pyrogenic organic matter induced priming effect

TL;DR: In this article, the authors collected approximately 650 data points from 18 studies to analyse the characteristics of the priming effect induced by pyrogenic organic matter (PyOM) and found that over 1-year PyOM induces an average positive PE of 0.3mg cg−1 soil on native soil organic matter and a PE of approximately the same size but opposite direction on fresh organic matter.
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Ryegrass-derived pyrogenic organic matter changes organic carbon and nitrogen mineralization in a temperate forest soil

TL;DR: In this article, the authors investigated the relationship between the C and N mineralization rates and the possible consequences in terms of C storage and N availability in PyOM-amended soils.
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Transformation and stabilization of pyrogenic organic matter in a temperate forest field experiment

TL;DR: One of the first studies ofPyOM and wood decomposition in a temperate forest using isotopically labeled organic substrate, and quantified microbial incorporation and physico-chemical transformations of PyOM in situ is conducted.
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Predicting spatial patterns of within-field crop yield variability

TL;DR: In this article, the authors analyzed 571 fields with multiple years of yield maps at high spatial resolution to understand and predict within-field spatial patterns across eight states in the Midwest US and over corn, soybean, wheat and cotton fields.
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Drivers of within-field spatial and temporal variability of crop yield across the US Midwest.

TL;DR: Analysis of data from 338 fields cultivated with maize, soybean, wheat and cotton in the US Midwest to understand how topographic attributes and rain affect yield stability over time sheds light on mechanisms underlying temporal variability of yield and can help guide management solutions to increase profit and improve environmental quality.