References

From data to wisdom

1989 · External reference

Estimating Time to Conduct a Meta-analysis From Number of Citations Retrieved

10.1001/jama.282.7.634 · 1999 · External reference

Comparison of the morphogenesis of three genotypes of pea (Pisum sativum) grown in pure stands and wheat-based intercrops

10.1093/aobpla/plu006 · 2014 · External reference

Dynamic analysis of competition and complementarity for light and N use to understand the yield and the protein content of a durum wheat–winter pea intercrop

10.1007/s11104-010-0303-8 · 2010 · External reference

The efficiency of a durum wheat-winter pea intercrop to improve yield and wheat grain protein concentration depends on N availability during early growth

10.1007/s11104-009-0082-2 · 2010 · External reference

Calibrating and testing APSIM for wheat-faba bean pure cultures and intercrops across Europe

10.1016/j.fcr.2021.108088 · 2021 · External reference

Data Organization in Spreadsheets

10.1080/00031305.2017.1375989 · 2018 · External reference

Algorithm 457: Finding All Cliques of an Undirected Graph [H]

10.1145/362342.362367 · 1973 · External reference

Fundamentals of Experimental Design: Guidelines for Designing Successful Experiments

10.2134/agronj2013.0114 · 2015 · External reference

Interspecific competition for soil N and its interaction with N-2 fixation, leaf expansion and crop growth in pea-barley intercrops

10.1007/s11104-005-5777-4 · 2006 · External reference

Towards integration of data-driven agronomic experiments with data provenance

10.1016/j.compag.2019.01.044 · 2019 · External reference

How to implement biodiversity-based agriculture to enhance ecosystem services: a review

10.1007/s13593-015-0306-1 · 2015 · External reference

Growth and yield responses to amendments to the sugarcane monoculture: Towards identifying the reasons behind the response to breaks

10.1071/cp11055 · 2011 · External reference

A global dataset gathering 37 field experiments involving cereal-legume intercrops and their corresponding sole crops.

10.5281/zenodo.8081577 · 2023 · External reference

Interspecific interactions regulate plant reproductive allometry in cereal–legume intercropping systems

10.1111/1365-2664.13979 · 2021 · External reference

Primary, secondary, and meta-analysis of research

10.3102/0013189x005010003 · 1976 · External reference

Models in biology: ‘accurate descriptions of our pathetic thinking’

10.1186/1741-7007-12-29 · 2014 · External reference

Pea-barley intercropping for efficient symbiotic N-2-fixation, soil N acquisition and use of other nutrients in European organic cropping systems

10.1016/j.fcr.2009.04.009 · 2009 · External reference

Pea-barley intercropping and short-term subsequent crop effects across European organic cropping conditions

10.1007/s10705-009-9254-y · 2009 · External reference

Grain legume–cereal intercropping: The practical application of diversity, competition and facilitation in arable and organic cropping systems

10.1017/s1742170507002025 · 2008 · External reference

Reproducibility in ecology and evolution: Minimum standards for data and code

10.1002/ece3.9961 · 2023 · External reference

Cultivar Grain Yield in Durum Wheat-Grain Legume Intercrops Could Be Estimated From Sole Crop Yields and Interspecific Interaction Index

10.3389/fpls.2021.733705 · 2021 · External reference

TRY – a global database of plant traits

10.1111/j.1365-2486.2011.02451.x · 2011 · External reference

Comparison of interspecific competition and N use in pea-barley, faba bean-barley and lupin-barley intercrops grown at two temperate locations

10.1017/s0021859604004745 · 2004 · External reference

Towards recommendations for metadata and data handling in plant phenotyping

10.1093/jxb/erv271 · 2015 · External reference

Exploring options for managing strategies for pea-barley intercropping using a modeling approach

10.1016/j.eja.2009.04.002 · 2009 · External reference

Generating All Maximal Independent Sets: NP-Hardness and Polynomial-Time Algorithms

10.1137/0209042 · 1980 · External reference

Mind the gap: How do climate and agricultural management explain the 'yield gap' of croplands around the world?

10.1111/j.1466-8238.2010.00563.x · 2010 · External reference

Changes in the drought sensitivity of US maize yields

10.1038/s43016-020-00165-w · 2020 · External reference

Towards intercrop ideotypes: Non-random trait assembly can promote overyielding and stability of species proportion in simulated legume-based mixtures

10.1093/aob/mcaa014 · 2020 · External reference

Plant nitrogen nutrition status in intercrops– a review of concepts and methods

10.1016/j.eja.2021.126229 · 2021 · External reference

Our path to better science in less time using open data science tools

10.1038/s41559-017-0160 · 2017 · External reference

The history and future of agricultural experiments

10.1016/j.njas.2010.11.001 · 2011 · External reference

Species choice and N fertilization influence yield gains through complementarity and selection effects in cereal-legume intercrops

10.1007/s13593-022-00754-y · 2022 · External reference

Global agronomy, a new field of research. A review

10.1007/s13593-013-0179-0 · 2014 · External reference

A modelling chain combining soft and hard models to assess a bundle of ecosystem services provided by a diversity of cereal-legume intercrops

10.1016/j.eja.2021.126412 · 2022 · External reference

The effect of various dynamics of N availability on winter pea-wheat intercrops: Crop growth, N partitioning and symbiotic N-2 fixation

10.1016/j.fcr.2010.06.002 · 2010 · External reference

Life cycle assessment applied to pea-wheat intercrops: A new method for handling the impacts of co-products

10.1016/j.jclepro.2013.12.029 · 2014 · External reference

A multiple species, continent-wide, million-phenotype agronomic plant dataset

10.1038/s41597-021-00898-8 · 2021 · External reference

Crop Management Affects the Performance of a Winter Pea–Wheat Intercrop

10.2134/agronj2015.0440 · 2016 · External reference

On Finding and enumerating maximal and maximum k-partite cliques in k-partite graphs

10.3390/a12010023 · 2019 · External reference

Data sharing and how it can benefit your scientific career

10.1038/d41586-019-01506-x · 2019 · External reference

Research data management in agricultural sciences in Germany: We are not yet where we want to be

10.1371/journal.pone.0274677 · 2022 · External reference

nasapower: A NASA POWER Global Meteorology, Surface Solar Energy and Climatology Data Client for R

10.21105/joss.01035 · 2018 · External reference

Phosphorus availability and microbial community in the rhizosphere of intercropped cereal and legume along a P-fertilizer gradient

10.1007/s11104-016-2949-3 · 2016 · External reference

Collecting, assembling and sharing data in crop sciences

10.24072/pci.mcb.100197 · 2024 · External reference

Educated big data to study sensitivity to drought

10.1038/s43016-020-00187-4 · 2020 · External reference

Yield gap analysis extended to marketable grain reveals the profitability of organic lentil-spring wheat intercrops

10.1007/s13593-018-0515-5 · 2018 · External reference

Publishing agronomic data

10.2134/agronj2008.0080f · 2008 · External reference

Unresolved reference

2016 · External reference

Comment: The FAIR Guiding Principles for scientific data management and stewardship

10.1038/sdata.2016.18 · 2016 · External reference

Good enough practices in scientific computing

10.1371/journal.pcbi.1005510 · 2017 · External reference

Where Have All the Crop Phenotypes Gone?

10.1371/journal.pbio.1001595 · 2013 · External reference