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

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.

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Detalhes bibliográficos
Principais autores: Ortiz, Rodomiro, Crossa, Jose, Reslow, Fredrik, Pérez-Rodríguez, Paulino, Cuevas, Jaime
Outros Autores: Dreher, Kate
Formato: Genotypic data biblioteca
Idioma:English
Publicado em: CIMMYT Research Data & Software Repository Network 2021
Assuntos:Agricultural Sciences, Potatoes, Agricultural research, Plant Breeding, GBLUP, Gaussian kernel, Tuber starch content, Total tuber weight, genotypes,
Acesso em linha:https://hdl.handle.net/11529/10548617
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id dat-cimmyt-1152910548617
record_format Dataverse
spelling dat-cimmyt-11529105486172021-09-29T01:00:19ZReplication Data for: Genome-based genotype × environment prediction enhances potato (Solanum tuberosum L.) improvement using pseudo-diploid and polysomic tetraploid modelinghttps://hdl.handle.net/11529/10548617Ortiz, RodomiroCrossa, JoseReslow, FredrikPérez-Rodríguez, PaulinoCuevas, JaimeCIMMYT Research Data & Software Repository NetworkPotato 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.Agricultural SciencesPotatoesAgricultural researchPlant BreedingGBLUPGaussian kernelTuber starch contentTotal tuber weightgenotypesEnglish2021Dreher, KateCGIARBiometrics and Statistics Unit (BSU)Swedish University of Agricultural Sciences (SLU)the Swedish Research Council FormasSveriges potatisförädlingGenomisk prediktion i kombination med högkapacitetsfenotypning för att öka potatisens knölskörd i ett föränderligt klimatGenetic Resources Program (GRP)Genotypic dataPhenotypic dataExperimental data
institution CIMMYT
collection Dataverse
country México
countrycode MX
component Datos de investigación
access En linea
En linea
databasecode dat-cimmyt
tag biblioteca
region America del Norte
libraryname Centro Internacional de Mejoramiento de Maíz y Trigo
language English
topic Agricultural Sciences
Potatoes
Agricultural research
Plant Breeding
GBLUP
Gaussian kernel
Tuber starch content
Total tuber weight
genotypes
Agricultural Sciences
Potatoes
Agricultural research
Plant Breeding
GBLUP
Gaussian kernel
Tuber starch content
Total tuber weight
genotypes
spellingShingle Agricultural Sciences
Potatoes
Agricultural research
Plant Breeding
GBLUP
Gaussian kernel
Tuber starch content
Total tuber weight
genotypes
Agricultural Sciences
Potatoes
Agricultural research
Plant Breeding
GBLUP
Gaussian kernel
Tuber starch content
Total tuber weight
genotypes
Ortiz, Rodomiro
Crossa, Jose
Reslow, Fredrik
Pérez-Rodríguez, Paulino
Cuevas, Jaime
Replication Data for: Genome-based genotype × environment prediction enhances potato (Solanum tuberosum L.) improvement using pseudo-diploid and polysomic tetraploid modeling
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.
author2 Dreher, Kate
author_facet Dreher, Kate
Ortiz, Rodomiro
Crossa, Jose
Reslow, Fredrik
Pérez-Rodríguez, Paulino
Cuevas, Jaime
format Genotypic data
topic_facet Agricultural Sciences
Potatoes
Agricultural research
Plant Breeding
GBLUP
Gaussian kernel
Tuber starch content
Total tuber weight
genotypes
author Ortiz, Rodomiro
Crossa, Jose
Reslow, Fredrik
Pérez-Rodríguez, Paulino
Cuevas, Jaime
author_sort Ortiz, Rodomiro
title Replication Data for: Genome-based genotype × environment prediction enhances potato (Solanum tuberosum L.) improvement using pseudo-diploid and polysomic tetraploid modeling
title_short Replication Data for: Genome-based genotype × environment prediction enhances potato (Solanum tuberosum L.) improvement using pseudo-diploid and polysomic tetraploid modeling
title_full Replication Data for: Genome-based genotype × environment prediction enhances potato (Solanum tuberosum L.) improvement using pseudo-diploid and polysomic tetraploid modeling
title_fullStr Replication Data for: Genome-based genotype × environment prediction enhances potato (Solanum tuberosum L.) improvement using pseudo-diploid and polysomic tetraploid modeling
title_full_unstemmed Replication Data for: Genome-based genotype × environment prediction enhances potato (Solanum tuberosum L.) improvement using pseudo-diploid and polysomic tetraploid modeling
title_sort replication data for: genome-based genotype × environment prediction enhances potato (solanum tuberosum l.) improvement using pseudo-diploid and polysomic tetraploid modeling
publisher CIMMYT Research Data & Software Repository Network
publishDate 2021
url https://hdl.handle.net/11529/10548617
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AT crossajose replicationdataforgenomebasedgenotypeenvironmentpredictionenhancespotatosolanumtuberosumlimprovementusingpseudodiploidandpolysomictetraploidmodeling
AT reslowfredrik replicationdataforgenomebasedgenotypeenvironmentpredictionenhancespotatosolanumtuberosumlimprovementusingpseudodiploidandpolysomictetraploidmodeling
AT perezrodriguezpaulino replicationdataforgenomebasedgenotypeenvironmentpredictionenhancespotatosolanumtuberosumlimprovementusingpseudodiploidandpolysomictetraploidmodeling
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