Jose J. Marulanda

Jose J. Marulanda
University of Hohenheim · Institute of Plant Breeding, Seed Science and Population Genetics

M. Sc. Genetics and Plant Breeding

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13
Publications
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181
Citations

Publications

Publications (13)
Article
Orange‐fleshed sweetpotato (OFSP) [ Ipomoea batatas (L.) Lam] often lacks high dry matter (DM) in elite breeding material. The objectives were to examine the potential to combine yield with high root DM and high root β‐carotene (BC) content by variance‐covariance analysis and optimization of breeding scenarios for “OFSP dry and starchy,” which was...
Article
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Key message A breeding strategy combining genomic with one-stage phenotypic selection maximizes annual selection gain for net merit. Choice of the selection index strongly affects the selection gain expected in individual traits. AbstractSelection indices using genomic information have been proposed in crop-specific scenarios. Routine use of genomi...
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Background Quantitative traits are common in nature, but quantitative pathogenicity has received only little attention in phytopathology. In this study, we used 100 Fusarium culmorum isolates collected from natural field environments to assess their variation for two quantitative traits, aggressiveness and deoxynivalenol (DON) production on wheat p...
Article
Knowledge of the extent of phenotypic variability, genetic diversity and the realized breeding progress is central for the optimum design of breeding programmes, but little information is available for triticale (× Triticosecale Wittmack). In this study, a collection of 885 diverse European triticale lines was evaluated in multilocation field trial...
Article
Full-text available
Key message A breeding strategy with moderate nursery selection followed by genomic selection and one-stage phenotypic selection maximizes annual selection gain for grain yield across a wide range of hybrid breeding scenarios. Abstract Genomic selection (GS) is a promising method for the selection of quantitatively inherited traits but its most eff...
Article
The prediction accuracy in genomic selection is affected by complex interactions of molecular, genetic and phenotypic factors. Despite the extensive use of biparental populations for empirical- and simulation-based studies, the highly variable prediction accuracies produced by cross-validation have not been further investigated. Understanding facto...

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