Deliverable D4.3 - SMART indexes of agrobiodiversity use in breeding, and empirical data

Deliverable 4.3 - "SMART indexes of agrobiodiversity use in breeding, and empirical data" presents indicators related to the benefits of investing in breeding of Neglected and Underutilised Crops (NUCs) through (i) genetic resources characterisation, maintenance and cultivation, (2) selection and adaptation in situ from available materials (i.e. dynamic management of genetic resources) and (3) multi-actor breeding programmes. The key benefits are introduced and then summarised in eight SMART indicators based on the principles and activities of the DIVINFOOD Living Labs (LLs) in the task "Novel approaches for multi-actor breeding for local adaptation and product quality" (T4.2). Each indicator is presented based on an “Indicator card” that includes background information, relevant references and how to measure it at breeding initiative level (STEP 1) and regional level (STEP 2). The general presentation of each indicator is followed by empirical data from the DIVINFOOD Living Labs. The document is complemented with empirical data from the self-evaluation of DIVINFOOD LLs for the STEP1 of all presented indicators.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.15109840
Primary Topic
Sustainable Agricultural Systems Analysis
Type
article
Field-Weighted Citation Impact
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article

Deliverable D4.3 - SMART indexes of agrobiodiversity use in breeding, and empirical data

Zenodo (CERN European Organization for Nuclear Research)
Sustainable Agricultural Systems Analysis
article

Deliverable D4.3 - SMART indexes of agrobiodiversity use in breeding, and empirical data

article en

Abstract

Deliverable 4.3 - "SMART indexes of agrobiodiversity use in breeding, and empirical data" presents indicators related to the benefits of investing in breeding of Neglected and Underutilised Crops (NUCs) through (i) genetic resources characterisation, maintenance and cultivation, (2) selection and adaptation in situ from available materials (i.e. dynamic management of genetic resources) and (3) multi-actor breeding programmes. The key benefits are introduced and then summarised in eight SMART indicators based on the principles and activities of the DIVINFOOD Living Labs (LLs) in the task "Novel approaches for multi-actor breeding for local adaptation and product quality" (T4.2). Each indicator is presented based on an “Indicator card” that includes background information, relevant references and how to measure it at breeding initiative level (STEP 1) and regional level (STEP 2). The general presentation of each indicator is followed by empirical data from the DIVINFOOD Living Labs. The document is complemented with empirical data from the self-evaluation of DIVINFOOD LLs for the STEP1 of all presented indicators.

Zenodo (CERN European Organization for Nuclear Research)
International Crisis Group (BE), Specim (Finland) (FI), Swedish University of Agricultural Sciences (SE), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Ecole d'Ingénieurs de PURPAN (FR), Institute of Botany (AZ), Agrárközgazdasági Intézet (HU), Forschungsinstitut für biologischen Landbau (DE), Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (IT), Forschungsinstitut für Biologischen Landbau (CH), National Institute of Food and Agriculture (US), Universidade Nova de Lisboa (PT)
Openalex Percentile: Top 62%
Sustainable Agricultural Systems Analysis
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Deliverable D4.3 - SMART indexes of agrobiodiversity use in breeding, and empirical data · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS