[HTML][HTML] Integrated genomic selection for rapid improvement of crops

G Krishnappa, S Savadi, BS Tyagi, SK Singh… - Genomics, 2021 - Elsevier
An increase in the rate of crop improvement is essential for achieving sustained food
production and other needs of ever-increasing population. Genomic selection (GS) is a …

[HTML][HTML] Quantitative disease resistance: dissection and adoption in maize

Q Yang, P Balint-Kurti, M Xu - Molecular plant, 2017 - cell.com
Maize is the world's most produced crop, providing food, feed, and biofuel. Maize production
is constantly threatened by the presence of devastating pathogens worldwide …

Improving the use of plant genetic resources to sustain breeding programs' efficiency

D Sanchez, SB Sadoun… - Proceedings of the …, 2023 - National Acad Sciences
Genetic progress of crop plants is required to face human population growth and guarantee
production stability in increasingly unstable environmental conditions. Breeding is …

Modeling epistasis in genomic selection

Y Jiang, JC Reif - Genetics, 2015 - academic.oup.com
Modeling epistasis in genomic selection is impeded by a high computational load. The
extended genomic best linear unbiased prediction (EG-BLUP) with an epistatic relationship …

[HTML][HTML] A powerful tool for genome analysis in maize: development and evaluation of the high density 600 k SNP genotyping array

S Unterseer, E Bauer, G Haberer, M Seidel, C Knaak… - BMC genomics, 2014 - Springer
Background High density genotyping data are indispensable for genomic analyses of
complex traits in animal and crop species. Maize is one of the most important crop plants …

[HTML][HTML] Efficiency of multi-trait, indirect, and trait-assisted genomic selection for improvement of biomass sorghum

SB Fernandes, KOG Dias, DF Ferreira… - Theoretical and applied …, 2018 - Springer
Key message We compare genomic selection methods that use correlated traits to help
predict biomass yield in sorghum, and find that trait-assisted genomic selection performs …

Adding genetically distant individuals to training populations reduces genomic prediction accuracy in barley

AJ Lorenz, KP Smith - Crop science, 2015 - Wiley Online Library
One of the most important factors affecting genomic prediction accuracy appears to be
training population (TP) composition. The objective of this study was to evaluate the effect of …

[HTML][HTML] Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials

G Costa-Neto, R Fritsche-Neto, J Crossa - Heredity, 2021 - nature.com
Modern whole-genome prediction (WGP) frameworks that focus on multi-environment trials
(MET) integrate large-scale genomics, phenomics, and envirotyping data. However, the …

[HTML][HTML] Genetic properties of the MAGIC maize population: a new platform for high definition QTL mapping in Zea mays

M Dell'Acqua, DM Gatti, G Pea, F Cattonaro… - Genome biology, 2015 - Springer
Abstract Background Maize (Zea mays) is a globally produced crop with broad genetic and
phenotypic variation. New tools that improve our understanding of the genetic basis of …

[HTML][HTML] Factors affecting genomic selection revealed by empirical evidence in maize

X Liu, H Wang, H Wang, Z Guo, X Xu, J Liu, S Wang… - The Crop Journal, 2018 - Elsevier
Genomic selection (GS) as a promising molecular breeding strategy has been widely
implemented and evaluated for plant breeding, because it has remarkable superiority in …