University of Reading Research Data Archive

Raw data of an experiment to assess the effect of plant residue quality, and diversity, applied as mulch, on soil nutrient dynamics, on soil microbial biomass, and on crop plant yield and quality.

How to cite this Dataset


This dataset concerns an experiment conducted in rhizotrons in 2019 at the University of Reading in UK. One barley plant was grown in each rhizotron, and mulch of diverse plant residues of about 30 cm size (the length of rhizotron surface) were applied. The purpose of the experiment was to assess the effect of quality, and diversity of plant residue mulch on soil nutrients, on soil microbial biomass, and on crop plant yield and quality. There were five different types of plant residues: i) Perennial rye grass (P) (1 plant species), ii) Smart grass (S) (6 plant species), iii) Biomix (B) (12 plant species), iv) Herbal mix (H) (17 plant species), and Wood chips (W), and there was also a Control treatment with no residues. Therefore, there were 6 different treatments in total in 5 replicates. Soil samples were collected on day 69 and on day 195 after mulch application. There is data relevant to the barley crop plants, to plant residues, and to the soil.

Resource Type: Dataset
Creators: Gaitanis, Dimitrios ORCID logoORCID:
Rights-holders: Dimitrios Gaitanis
Data Publisher: University of Reading
Publication Year: 2022
Data last accessed: 16 February 2024
Metadata Record URL:
Organisational units: Life Sciences > School of Agriculture, Policy and Development > Department of Sustainable Land Management > Centre for Agri-environmental Research (CAER)
Participating Organisations: University of Reading
Keywords: rhizotrons, plant-based mulch, soil nutrients, soil microbial biomass, plant yield and quality
Data Availability: OPEN


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