Potential of water balance and remote sensing-based evapotranspiration models to predict yields of spring barley and winter wheat in the Czech Republic

Number of the records: 1

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SYSNO	0545755
Title	Potential of water balance and remote sensing-based evapotranspiration models to predict yields of spring barley and winter wheat in the Czech Republic
Author(s)	Jurečka, František (UEK-B) [VS1]_{SAI, RID} Fischer, Milan (UEK-B) [VS1]_{RID, ORCID, SAI} Hlavinka, Petr (UEK-B) [VS1]_{RID, ORCID, SAI} Balek, Jan (UEK-B) [VS1]_{ORCID, SAI, RID} Semerádová, Daniela (UEK-B) [VS1]_{RID, ORCID, SAI} Bláhová, Monika (UEK-B) [VS1]_{ORCID, RID, SAI} Anderson, M. C. (US) Hain, C. (US) Žalud, Zdeněk (UEK-B) [VS1]_{RID, ORCID, SAI} Trnka, Miroslav (UEK-B) [VS1]_{RID, ORCID, SAI}
Corespondence/senior	Fischer, Milan - Korespondující autor
Source Title	Agricultural Water Management. Roč. 256, OCT (2021). - : Elsevier
Article number	107064
Document Type	Článek v odborném periodiku
Grant	EF16_019/0000797 GA MŠMT - Ministry of Education, Youth and Sports (MEYS), CZ - Czech Republic
Institutional support	UEK-B - RVO:86652079
Language	eng
Country	NL
Keywords	evaporative stress index * crop yield * agricultural drought * central-europe * united-states * time-series * soil * climate * system * parameterization * Artificial neural network * Crop yield prediction * Evapotranspiration * Evaporative stress index * Spring barley * Winter wheat
URL	https://www.sciencedirect.com/science/article/pii/S0378377421003292?via%3Dihub
Permanent Link	http://hdl.handle.net/11104/0322417

Number of the records: 1