Matches in SemOpenAlex for { <https://semopenalex.org/work/W2944480987> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2944480987 endingPage "1553" @default.
- W2944480987 startingPage "1544" @default.
- W2944480987 abstract "ABSTRACT The principal goals of a plant breeding program are to provide breeders with cultivar information for selection purposes and to provide farmers with high‐yielding and stable cultivars. For that reason, multi‐environment trials need to be done to predict future cultivar yield, and a robust statistical procedure is needed to provide reliable information on the tested cultivars. In Sweden, the statistical procedure follows the tradition of modeling cultivar effects as fixed. Moreover, the analysis is performed separately by zone and level of fungicide treatment, and so the factorial information regarding cultivar × zone × fungicide combinations is not explored. Thus, the question arose whether the statistical method could be improved to increase accuracy in zone‐based cultivar prediction, since the cultivar recommendation is zone based. In this paper, the performance of empirical best linear unbiased estimation (E‐BLUE) and empirical best linear unbiased prediction (E‐BLUP) are compared using cross‐validation for winter wheat ( Triticum aestivum L.) and spring barley ( Hordeum vulgare L.), in single‐year and multiyear series of trials. Data were obtained from three agricultural zones of Sweden. Several linear mixed models were compared, and model performance was evaluated using the mean squared error of prediction criterion. The E‐BLUP method outperformed the E‐BLUE method in both crops and series. The prediction accuracy for zone‐based yield was improved by using E‐BLUP because the random‐effects assumption for cultivar × zone interaction allows information to be borrowed across zones. We conclude that E‐BLUP should replace the currently used E‐BLUE approach to predict zone‐based cultivar yield." @default.
- W2944480987 created "2019-05-16" @default.
- W2944480987 creator A5041604104 @default.
- W2944480987 creator A5079481845 @default.
- W2944480987 creator A5084546613 @default.
- W2944480987 creator A5089175724 @default.
- W2944480987 date "2019-07-01" @default.
- W2944480987 modified "2023-09-27" @default.
- W2944480987 title "A Cross‐Validation of Statistical Models for Zoned‐Based Prediction in Cultivar Testing" @default.
- W2944480987 cites W176201993 @default.
- W2944480987 cites W178875878 @default.
- W2944480987 cites W1966904199 @default.
- W2944480987 cites W1968133046 @default.
- W2944480987 cites W2006103331 @default.
- W2944480987 cites W2011691467 @default.
- W2944480987 cites W2152822135 @default.
- W2944480987 cites W2157291679 @default.
- W2944480987 cites W2498718509 @default.
- W2944480987 cites W2509715244 @default.
- W2944480987 cites W2510248751 @default.
- W2944480987 cites W2757882997 @default.
- W2944480987 cites W2799944237 @default.
- W2944480987 cites W4206653471 @default.
- W2944480987 cites W4244811529 @default.
- W2944480987 doi "https://doi.org/10.2135/cropsci2018.10.0642" @default.
- W2944480987 hasPublicationYear "2019" @default.
- W2944480987 type Work @default.
- W2944480987 sameAs 2944480987 @default.
- W2944480987 citedByCount "10" @default.
- W2944480987 countsByYear W29444809872020 @default.
- W2944480987 countsByYear W29444809872021 @default.
- W2944480987 countsByYear W29444809872022 @default.
- W2944480987 crossrefType "journal-article" @default.
- W2944480987 hasAuthorship W2944480987A5041604104 @default.
- W2944480987 hasAuthorship W2944480987A5079481845 @default.
- W2944480987 hasAuthorship W2944480987A5084546613 @default.
- W2944480987 hasAuthorship W2944480987A5089175724 @default.
- W2944480987 hasBestOaLocation W29444809871 @default.
- W2944480987 hasConcept C103545067 @default.
- W2944480987 hasConcept C105795698 @default.
- W2944480987 hasConcept C119857082 @default.
- W2944480987 hasConcept C150903083 @default.
- W2944480987 hasConcept C153720581 @default.
- W2944480987 hasConcept C163175372 @default.
- W2944480987 hasConcept C197321923 @default.
- W2944480987 hasConcept C2993665447 @default.
- W2944480987 hasConcept C33923547 @default.
- W2944480987 hasConcept C41008148 @default.
- W2944480987 hasConcept C46757340 @default.
- W2944480987 hasConcept C6557445 @default.
- W2944480987 hasConcept C81917197 @default.
- W2944480987 hasConcept C86803240 @default.
- W2944480987 hasConceptScore W2944480987C103545067 @default.
- W2944480987 hasConceptScore W2944480987C105795698 @default.
- W2944480987 hasConceptScore W2944480987C119857082 @default.
- W2944480987 hasConceptScore W2944480987C150903083 @default.
- W2944480987 hasConceptScore W2944480987C153720581 @default.
- W2944480987 hasConceptScore W2944480987C163175372 @default.
- W2944480987 hasConceptScore W2944480987C197321923 @default.
- W2944480987 hasConceptScore W2944480987C2993665447 @default.
- W2944480987 hasConceptScore W2944480987C33923547 @default.
- W2944480987 hasConceptScore W2944480987C41008148 @default.
- W2944480987 hasConceptScore W2944480987C46757340 @default.
- W2944480987 hasConceptScore W2944480987C6557445 @default.
- W2944480987 hasConceptScore W2944480987C81917197 @default.
- W2944480987 hasConceptScore W2944480987C86803240 @default.
- W2944480987 hasFunder F4320322600 @default.
- W2944480987 hasIssue "4" @default.
- W2944480987 hasLocation W29444809871 @default.
- W2944480987 hasLocation W29444809872 @default.
- W2944480987 hasOpenAccess W2944480987 @default.
- W2944480987 hasPrimaryLocation W29444809871 @default.
- W2944480987 hasRelatedWork W1538644651 @default.
- W2944480987 hasRelatedWork W1808093461 @default.
- W2944480987 hasRelatedWork W1999504378 @default.
- W2944480987 hasRelatedWork W2005816970 @default.
- W2944480987 hasRelatedWork W2006499055 @default.
- W2944480987 hasRelatedWork W2162020603 @default.
- W2944480987 hasRelatedWork W2260983608 @default.
- W2944480987 hasRelatedWork W2922528260 @default.
- W2944480987 hasRelatedWork W2942141241 @default.
- W2944480987 hasRelatedWork W4317627072 @default.
- W2944480987 hasVolume "59" @default.
- W2944480987 isParatext "false" @default.
- W2944480987 isRetracted "false" @default.
- W2944480987 magId "2944480987" @default.
- W2944480987 workType "article" @default.