A multi-environment dataset consisting of official field trials for three major crops in the Nordic countries

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Authors: Nora Røhnebæk Aasen, Sybil A. Herrera-Foessel, Silius Mortensønn Vandeskog, Therése Bengtsson, Mulatu G. Dida, Isak Drozdik, Sigridur Dalmannsdottir, Egil Gautason, Jaroslaw S. Grodek, Hrannar S. Hilmarsson, Merja Högnäsbacka, Ortrud Jäck
+25 more Janne Kaseva, Antti Laine, Alex Lenkoski, Morten Lillemo, Min Lin, Anne Marthe Lundby, Shirin Mohammadi, Per J. Møllerhagen, Markku Niskanen, Rodomiro Ortiz, Maxie Skalshøi, Anna G. Þórðardóttir, Maria Thorkildsen, Ortrud Jäck, Lene Krusell, Charlotte Damsgård Robertsen, Outi Manninen, Hanna Haikka, Mika Isolahti, Pernille M. Sarup, Ahmed Jahoor, Muath Alsheikh, Constantin Jensen, Helga Amdahl, Susanne S. Windju
Cited by: 1
References: 16

Abstract

Climate change will substantially impact agriculture, requiring the development of new crop cultivars adapted for resilience to future stresses. Developing a new crop cultivar is a decades-long process. Therefore climate change considerations must already be incorporated into breeding programs. National breeding programs have typically involved field trials in a single country, which has functioned satisfactorily during periods of stable climate variability. However, it is widely acknowledged that when field trial information across borders is made available, it can significantly aid plant breeding programs. This paper presents a pan-Nordic multi-environment dataset that consolidates national trial data and data from VCU (Value for Cultivation and Use) trials for spring barley, red clover, and potato, during 1970-2024. The dataset harmonizes information on yield across diverse environments, enabling comparative analyses and cross-regional assessments. By providing a unified resource for the Nordic region, this dataset supports the development of more resilient crop varieties and facilitates data-driven breeding strategies under changing climatic conditions.

Publication details

Journal / source
Scientific Data
Publisher
Springer Science and Business Media LLC
Volume
13
Issue
1
Publication date
24 August 2026
Language
EN