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Open AccessArticle

Genomic Selection for Antioxidant Production in a Panel of Sorghum bicolor and S. bicolor × S. halepense Lines

1
CREA Research Center for Cereals and Industrial Crops, via di Corticella, 133-40128 Bologna, Italy
2
Crop, Soil, and Microbial Sciences Department, Michigan State University, 1066 Bogue St, East Lansing, MI 42824, USA
*
Author to whom correspondence should be addressed.
Genes 2019, 10(11), 841; https://doi.org/10.3390/genes10110841
Received: 28 September 2019 / Revised: 19 October 2019 / Accepted: 21 October 2019 / Published: 24 October 2019
(This article belongs to the Special Issue Genetic Improvement of Cereals and Grain Legumes)
The purpose of this work was to assess the performance of four genomic selection (GS) models (GBLUP, BRR, Bayesian LASSO and BayesB) in 4 sorghum grain antioxidant traits (phenols, flavonoids, total antioxidant capacity and condensed tannins) using whole-genome SNP markers in a novel diversity panel of Sorghum bicolor lines and landraces and S. bicolor × S. halepense recombinant inbred lines. One key breeding problem modelled was predicting the performance in the antioxidant production of new and unphenotyped sorghum genotypes (validation set). The population was weakly structured (analysis of molecular variance, AMOVA R2 = 9%), showed a significant genetic diversity and expressed antioxidant traits with a good level of variability and high correlation. The S. bicolor × S. halepense lines outperformed Sorghum bicolor populations for all the antioxidants. The four GS models implemented in this work performed comparably across traits, with accuracy ranging from 0.49 to 0.58, and are considered high enough to sustain sorghum breeding for antioxidants production and allow important genetic gains per unit of time and cost. The results presented in this work are expected to contribute to GS implementation and the genetic improvement of sorghum grain antioxidants for different purposes, including the manufacture of health-promoting and specialty foods. View Full-Text
Keywords: Sorghum bicolor; Sorghum halepense; genomic prediction; genomic selection; antioxidants; genomic estimated breeding values; prediction accuracy Sorghum bicolor; Sorghum halepense; genomic prediction; genomic selection; antioxidants; genomic estimated breeding values; prediction accuracy
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Habyarimana, E.; Lopez-Cruz, M. Genomic Selection for Antioxidant Production in a Panel of Sorghum bicolor and S. bicolor × S. halepense Lines. Genes 2019, 10, 841.

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