Modeling genotype × environment interaction for single and multitrait genomic prediction in potato (Solanum tuberosum L.)

dc.creatorCuevas, J.
dc.creatorReslow, F.
dc.creatorCrossa, J.
dc.creatorOrtiz, R.
dc.date2023-03-11T00:10:12Z
dc.date2023-03-11T00:10:12Z
dc.date2023
dc.date.accessioned2023-07-17T20:10:29Z
dc.date.available2023-07-17T20:10:29Z
dc.identifierhttps://hdl.handle.net/10883/22543
dc.identifier10.1093/g3journal/jkac322
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7514286
dc.descriptionIn this study, we extend research on genomic prediction (GP) to polysomic polyploid plant species with the main objective to investigate single-trait (ST) and multitrait (MT) multienvironment (ME) models using field trial data from 3 locations in Sweden [Helgegården (HEL), Mosslunda (MOS), Umeå (UM)] over 2 years (2020, 2021) of 253 potato cultivars and breeding clones for 5 tuber weight traits and 2 tuber flesh quality characteristics. This research investigated the GP of 4 genome-based prediction models with genotype × environment interactions (GEs): (1) ST reaction norm model (M1), (2) ST model considering covariances between environments (M2), (3) ST M2 extended to include a random vector that utilizes the environmental covariances (M3), and (4) MT model with GE (M4). Several prediction problems were analyzed for each of the GP accuracy of the 4 models. Results of the prediction of traits in HEL, the high yield potential testing site in 2021, show that the best-predicted traits were tuber flesh starch (%), weight of tuber above 60 or below 40 mm in size, and the total tuber weight. In terms of GP, accuracy model M4 gave the best prediction accuracy in 3 traits, namely tuber weight of 40–50 or above 60 mm in size, and total tuber weight, and very similar in the starch trait. For MOS in 2021, the best predictive traits were starch, weight of tubers above 60, 50–60, or below 40 mm in size, and the total tuber weight. MT model M4 was the best GP model based on its accuracy when some cultivars are observed in some traits. For the GP accuracy of traits in UM in 2021, the best predictive traits were the weight of tubers above 60, 50–60, or below 40 mm in size, and the best model was MT M4, followed by models ST M3 and M2.
dc.languageEnglish
dc.publisherGenetics Society of America
dc.relationhttps://hdl.handle.net/11529/10548784
dc.rightsCIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
dc.rightsOpen Access
dc.source2
dc.source13
dc.source2160-1836
dc.sourceG3: Genes, Genomes, Genetics
dc.sourcejkac322
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectGenomic Prediction in Potato
dc.subjectMultienvironment Modeling
dc.subjectMultiple Trait Modeling
dc.subjectSingle Trait Modeling
dc.subjectGENOMICS
dc.subjectPOTATOES
dc.subjectMODELLING
dc.subjectSOLANUM TUBEROSUM
dc.subjectGENOTYPE ENVIRONMENT INTERACTION
dc.subjectGenetic Resources
dc.titleModeling genotype × environment interaction for single and multitrait genomic prediction in potato (Solanum tuberosum L.)
dc.typeArticle
dc.typePublished Version
dc.coverageBethesda, MD (USA)


Este ítem pertenece a la siguiente institución