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Exploring the performance of genomic prediction models for soybean yield using different validation approaches
| Title: | Exploring the performance of genomic prediction models for soybean yield using different validation approaches | Authors: | Đorđević, Vuk   ; Ćeran, Marina ; Miladinović, Jegor ; Balešević-Tubić, Svetlana ; Petrović, Kristina ; Miladinov, Zlatica ; Marinković, Jelena |
Issue Date: | 2019 | Publication: | Molecular Breeding | ISSN: | 1380-3743 Molecular Breeding Search Idenfier |
Type: | Article | Collation: | vol. 39 br. 5 | DOI: | 10.1007/s11032-019-0983-6 | WoS-ID: | 000467653900002 | Scopus-ID: | 2-s2.0-85065741333 | URI: | http://fiver.ifvcns.rs/handle/123456789/1916 https://enauka.gov.rs/handle/123456789/234253 |
Project: | Interdisciplinarni pristup stvaranju novih sorti soje i unapređenju tehnologije gajenja i dorade semena (RS-31022) Danube region (Deutsche Gesellschaft fur Internationale Zusammenarbeit GmbH) Provincial Secretariat for Higher Education and Scientific Research, Autonomous Province of Vojvodina, Republic of Serbia, 114-451-2739/2016-01 |
M-category: | 21aM21a |
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