Linear mixed models and geostatistics for designed experiments in soil science: Two entirely different methods or two sides of the same coin?-Reference-Cited by-同舟云学术

Linear mixed models and geostatistics for designed experiments in soil science: Two entirely different methods or two sides of the same coin?

Published:2020-05-22 Issue:1 Volume:72 Page:47-68
ISSN:1351-0754
Container-title:European Journal of Soil Science
language:en
Short-container-title:Eur J Soil Sci

Author:

Slaets Johanna I. F.¹^ORCID,Boeddinghaus Runa S.²^ORCID,Piepho Hans‐Peter³^ORCID

Affiliation:

1. Soil and Water Management & Crop Nutrition Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, Department of Nuclear Sciences and Applications International Atomic Energy Agency Vienna Austria

2. Institute of Soil Science and Land Evaluation, Department of Soil Biology University of Hohenheim Stuttgart Germany

3. Biostatistics Unit, Institute of Crop Science University of Hohenheim Stuttgart Germany

Publisher

Wiley

Subject

Soil Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ejss.12976

Reference53 articles.

1. Model Selection and Inference

2. Buscot F. Wubet T. Goldmann K. &Klemmer S.(2018). Abundance of arbuscular mycorrhiza fungi sampled from top soil at six dates in 2011 on one ALB grassland plot (SCALEMIC Experiment). v1.2.6. Biodiversity Exploratories Information System.https://www.bexis.uni-jena.de/PublicData/PublicData.aspx?DatasetId=22548.

3. Block Designs: A Randomization Approach

4. Fundamentals of Experimental Design: Guidelines for Designing Successful Experiments

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. How to determine temporal yield variances of various cropping systems for modelling farmers’ production risk – Illustrated by results from a long-term field trial;European Journal of Agronomy;2024-01

2. Dynamics of soil net nitrogen mineralization and controlled effect of microbial functional genes in the restoration of cold temperate forests;Applied Soil Ecology;2023-09

3. An Overview of Kriging and Cokriging Predictors for Functional Random Fields;Mathematics;2023-08-07

4. Highlighting the potential of multilevel statistical models for analysis of individual agroforestry systems;Agroforestry Systems;2023-07-09

5. Microbial necromass carbon in estuarine tidal wetlands of China: Influencing factors and environmental implication;Science of The Total Environment;2023-06