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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Formato: | Genotypic data biblioteca |
Idioma: | English |
Publicado em: |
CIMMYT Research Data & Software Repository Network
2021
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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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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 |
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Centro Internacional de Mejoramiento de Maíz y Trigo |
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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 |
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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 |
work_keys_str_mv |
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1778656971358994432 |