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Replication Data for: Genome-based genotype × environment prediction enhances potato (Solanum tuberosum L.) improvement using pseudo-diploid and polysomic tetraploid modeling

CIMMYT Research Data & Software Repository Network Dataverse OAI Archive

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Title Replication Data for: Genome-based genotype × environment prediction enhances potato (Solanum tuberosum L.) improvement using pseudo-diploid and polysomic tetraploid modeling
 
Identifier https://hdl.handle.net/11529/10548617
 
Creator Ortiz, Rodomiro
Crossa, Jose
Reslow, Fredrik
Pérez-Rodríguez, Paulino
Cuevas, Jaime
 
Publisher CIMMYT Research Data & Software Repository Network
 
Description Potato breeding efficiency can be improved by increasing the reliability of selection and identifying promising germplasm for crossing. The data provided in these datasets were used to compare the prediction accuracy of genomic-estimated breeding values for several potato (Solanum tuberosum L.) breeding clones and released cultivars evaluated in three locations in northern and southern Sweden. The analysis included several traits such as tuber starch percentage and total tuber weight. Results of the analyses are reported in an accompanying journal article.
 
Subject Agricultural Sciences
Potatoes
Agricultural research
Plant Breeding
GBLUP
Gaussian kernel
Tuber starch content
Total tuber weight
genotypes
 
Language English
 
Date 2021-09-28
 
Contributor Dreher, Kate
CGIAR
Biometrics and Statistics Unit (BSU)
Swedish University of Agricultural Sciences (SLU)
the Swedish Research Council Formas
Sveriges potatisförädling
Genomisk prediktion i kombination med högkapacitetsfenotypning för att öka potatisens knölskörd i ett föränderligt klimat
Genetic Resources Program (GRP)
 
Type Dataset