Luke
 

Designing wheat cultivar adaptation to future climate change across China by coupling biophysical modelling and machine learning

Tietueen suppeat tiedot
dc.contributor.authorTao, Fulu
dc.contributor.authorZhang, Liangliang
dc.contributor.authorZhang, Zhao
dc.contributor.authorChen, Yi
dc.contributor.departmentid4100311110
dc.contributor.organizationLuonnonvarakeskus
dc.date.accessioned2023-01-11T06:24:22Z
dc.date.accessioned2025-05-27T20:03:17Z
dc.date.available2023-01-11T06:24:22Z
dc.date.issued2022
dc.description.vuosik2022
dc.format.bitstreamfalse
dc.format.pagerange12 p.
dc.identifier.olddbid495504
dc.identifier.oldhandle10024/552945
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/9334
dc.language.isoen
dc.okm.corporatecopublicationei
dc.okm.discipline4111
dc.okm.discipline1172
dc.okm.internationalcopublicationon
dc.okm.openaccess0 = Ei vastausta
dc.okm.selfarchivedei
dc.publisherElsevier BV
dc.relation.articlenumber126500
dc.relation.doi10.1016/j.eja.2022.126500
dc.relation.ispartofseriesEuropean Journal of Agronomy
dc.relation.issn1161-0301
dc.relation.volume136
dc.source.identifierhttps://jukuri.luke.fi/handle/10024/552945
dc.subjectAgriculture
dc.subjectClimate change impact
dc.subjectAdaptation
dc.subjectClimate resilient cultivars
dc.subjectIdeotypic traits
dc.subjectMachine learning
dc.tehOHFO-EI-OHFO
dc.titleDesigning wheat cultivar adaptation to future climate change across China by coupling biophysical modelling and machine learning
dc.typepublication
dc.type.okmfi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research|

Tiedostot

Kokoelmat

Julkaisut