Title

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

Author

Rodomiro Ortiz

Jose Crossa

Paulino Pérez-Rodríguez

Jaime Cuevas

Access level

Open Access

Description

Abstract - 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.

Publisher

International Maize and Wheat Improvement Center

Publish date

2021

Resource Type

Dataset

Source repository

Repositorio Institucional de Datos y Software de Investigación del CIMMYT

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