Assessing climate resilience of barley cultivars in northern conditions during 1980-2020

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F23%3A00571442" target="_blank" >RIV/86652079:_____/23:00571442 - isvavai.cz</a>
Alternative codes found
RIV/62156489:43210/23:43923078
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0378429023000497?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0378429023000497?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.fcr.2023.108856" target="_blank" >10.1016/j.fcr.2023.108856</a>

Result language
angličtina
Original language name
Assessing climate resilience of barley cultivars in northern conditions during 1980-2020
Original language description
Northern agriculture faces a rapidly changing climate with increased weather variability. Yield resilience can be assessed through diversity in responses to critical weather patterns, as demonstrated in several European crops. In this study, we extend the work to demonstrate how the response diversity of barley in Finland has developed over time. A total of 257 barley cultivars tested in 18 locations in Finland during 1980-2020 were clustered according to their yield responses to 12 critical agrometeorological variables. Clustering was based on the scores of the principal component analysis used to group the agrometeorological variables based on the yield responses. To identify the development in the response diversity, the diversity of the clusters cultivated was determined annually. The response diversity increased at the beginning of the 21st century but has declined since 2013. Consequently, the Northern barley cultivar selection has become more vulnerable to weather variation despite an increase of cultivars officially tested. The principal component analysis enabled a more interpretable and meaningful clustering than the formerly performed direct clustering of Finnish barley cultivars according to the agrometeorological variables.
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
40101 - Agriculture

Project
<a href="/en/project/EF16_019%2F0000797" target="_blank" >EF16_019/0000797: SustES - Adaptation strategies for sustainable ecosystem services and food security under adverse environmental conditions</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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