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(ISSN: 2564-4653; CODEN: AAGGCI; DOI: 10.33002/aa) is an international, scientific double blind peer-reviewed open access journal published half-yearly (in June and December) online by The Grassroots Institute in partnership with University of Lucian Blaga of Sibiu (Romania) and Fondacija Alica (Bosnia & Herzegovina).
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The objective of our journal Agrobiodiversity & Agroecology is to explore variety of concepts, practices and implications in emerging scientific fields within combined and integrated domain of Agrobiodiversity (or Agricultural Biodiversity) and Agroecology. This journal aims at creating an opportunity for presenting different research from all parts of the world that facilitate the dialogue across different disciplines and various actors for capitalizing on different kind of knowledges. This journal is inclusive by giving the opportunity to: (i) researcher from the South to publish in a journal without any fees for the open-access, and (ii) farmers' organizations and NGOs to be represented as co-authors with researchers for presenting together their viewpoints on the research.
Bal Krishna Joshi
Nepal Agricultural Research Council, Kathmandu, Nepal. Email: joshibalak@yahoo.com | ORCID: http://orcid.org/0000-0002-7848-5824
Agrobiodiversity & Agroecology, 01(01): 46-64. Doi: https://doi.org/10.33002/aa010103
Received: 19 August 2021
Reviewed: 15 September 2021
Accepted: 30 September 2021
Published: 10 November 2021
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Agrobiodiversity is the most important part of biodiversity. It can be described, quantified, compared, and related by using different statistical tools called agrobiodiversity statistics (agro-statistics). Six components and 25 groups of agrobiodiversity should be used for agrobiodiversity analysis. Six types and levels of agrobiodiversity can be quantified. Both quantitative and qualitative data are used for estimating scores and indices. The measurement objects for describing agrobiodiversity are community, household, site, crop group, species, landrace, etc. These objects are called operational agricultural units (OAU). Agromorphological, molecular, and perception data are used in agrobiodiversity studies. Among the many software, RStudio is very good. It is an integrated part of R and includes a console, syntax-highlighting editor, tools for plotting, history, debugging, and workspace management. Vegan and BiodiversityR packages are commonly used for estimating diversity indices and multivariate analysis. Richness, Shannon index and Simpson index are very common means of quantifying agrobiodiversity. Spatial and temporal analysis of agrobiodiversity helps monitor the status and plan the programs and activities.
Keywords: Agrobiodiversity index; Agrobiodiversity statistics; Measurement; Indicators; R package
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Joshi, B.K. (2021). Agrobiodiversity Indicators and Measurement using R for Description, Monitoring, Comparison, Relatedness, Conservation and Utilization. Agrobiodiversity & Agroecology, 01(01): 47-64. Doi: https://doi.org/10.33002/aa010103
Joshi, B.K. (2021). Agrobiodiversity Indicators and Measurement using R for Description, Monitoring, Comparison, Relatedness, Conservation and Utilization. Agrobiodiversity & Agroecology, 01 (01), 47-64. https://doi.org/10.33002/aa010103
Joshi B.K. Agrobiodiversity Indicators and Measurement using R for Description, Monitoring, Comparison, Relatedness, Conservation and Utilization. Agrobiodiversity & Agroecology, 2021, 01 (01), 47-64. https://doi.org/10.33002/aa010103
Joshi, Bal Krishna. 2021. “Agrobiodiversity Indicators and Measurement using R for Description, Monitoring, Comparison, Relatedness, Conservation and Utilization”. Agrobiodiversity & Agroecology, 01 no. 01: 47-64. https://doi.org/10.33002/aa010103
Joshi, Bal Krishna. 2021. “Agrobiodiversity Indicators and Measurement using R for Description, Monitoring, Comparison, Relatedness, Conservation and Utilization”. Agrobiodiversity & Agroecology, 01 (01): 47-64. https://doi.org/10.33002/aa010103
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