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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| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Genotypic data biblioteca |
| Language: | English |
| Published: |
CIMMYT Research Data & Software Repository Network
2021
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| Subjects: | Agricultural Sciences, Potatoes, Agricultural research, Plant Breeding, GBLUP, Gaussian kernel, Tuber starch content, Total tuber weight, genotypes, |
| Online Access: | https://hdl.handle.net/11529/10548617 |
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