Article CC BY 4.0
refereed
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Variance and covariance components of agronomic and quality traits assessed in tetraploid potato and their implications on practical breeding

GND
133169650X
Affiliation
Julius Kühn Institute (JKI), Institute for Breeding Research on Agricultural Crops, Germany; Faculty of Agricultural- and Environmental Sciences, University of Rostock, Rostock, Germany
Thelen, Kathrin;
GND
1022922025
Affiliation
SaKa Pflanzenzucht GmbH & Co. KG, Windeby, Germany
Prigge, Vanessa;
Affiliation
SaKa Pflanzenzucht GmbH & Co. KG, Windeby, Germany
Kohlmorgen, Anja;
Affiliation
Nordring-Kartoffelzucht- und Vermehrungs-GmbH & Co. KG, Sanitz, Germany
Muders, Katja;
GND
172959128
Affiliation
Nordring-Kartoffelzucht- und Vermehrungs-GmbH & Co. KG, Sanitz, Germany
Truberg, Bernd;
GND
12235771X
Affiliation
EUROPLANT Innovation GmbH & Co. KG, Lüneburg, Germany
Hartje, Stefanie;
GND
1053458487
Affiliation
EUROPLANT Innovation GmbH & Co. KG, Lüneburg, Germany
Renner, Juliane;
GND
133077462
ORCID
0000-0001-6791-8068
Affiliation
Julius Kühn Institute (JKI), Institute for Breeding Research on Agricultural Crops, Germany; Faculty of Agricultural- and Environmental Sciences, University of Rostock, Rostock, Germany
Stich, Benjamin

Potato is a versatile food crop and major component of human nutrition worldwide. Model calculations and computer simulations can be used to optimize the resource allocation in potato breeding programs but require quantitative genetic parameters. The objectives of our study are to (i) estimate quantitative genetic parameters of the most important phenotypic traits in potato breeding programs, (ii) compare the importance of inter- vs. intra-population variance, (iii) quantify genotypic and phenotypic covariances among phenotypic traits, and (iv) examine the effect of a preselection in the single hills stage on variance and covariance components in later stages of the breeding program. Our study was based on a total of 1066 clones from three breeding programs which were evaluated in a non-orthogonal way in 15 environments for a total of 26 phenotypic traits. The examined traits showed an overall high to medium heritability, and variance analysis revealed trait-specific differences in the influence of the genotypic, environmental, and genotype-environment interaction effect. Accounting for heterogeneity in the residual variances between the 15 environments led to a significant improvement of the variance parameter estimation. The result of our study suggested that the first selection step at the single hills stage did not negatively impact the genetic variability of the target traits implying that the traits assessed in the earlier stages were not correlated with the traits influencing market success. Our results can be used as base for further simulation studies and, thus, help to optimize the resource allocation in breeding programs.

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License Holder: 2025 Thelen, Prigge, Kohlmorgen, Muders, Truberg, Hartje, Renner and Stich.

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