Improvement of prediction ability by integrating multi-omic datasets in barley

PY Wu, B Stich, M Weisweiler, A Shrestha, A Erban… - BMC genomics, 2022 - Springer
Background Genomic prediction (GP) based on single nucleotide polymorphisms (SNP) has
become a broadly used tool to increase the gain of selection in plant breeding. However …

Plant genotype to phenotype prediction using machine learning

MF Danilevicz, M Gill, R Anderson, J Batley… - Frontiers in …, 2022 - frontiersin.org
Genomic prediction tools support crop breeding based on statistical methods, such as the
genomic best linear unbiased prediction (GBLUP). However, these tools are not designed to …

Boosting predictive ability of tropical maize hybrids via genotype‐by‐environment interaction under multivariate GBLUP models

M Dalsente Krause, KOG Dias… - Crop …, 2020 - Wiley Online Library
Genomic selection has been implemented in several plant and animal breeding programs
and it has proven to improve efficiency and maximize genetic gains. Phenotypic data of …

Genomic prediction of hybrid performance in maize with models incorporating dominance and population specific marker effects

F Technow, C Riedelsheimer, TA Schrag… - Theoretical and Applied …, 2012 - Springer
Identifying high performing hybrids is an essential part of every maize breeding program.
Genomic prediction of maize hybrid performance allows to identify promising hybrids, when …

A New Diversity Panel for Winter Rapeseed (Brassica napus L.) Genome-Wide Association Studies

DP Horvath, M Stamm, ZI Talukder, J Fiedler… - Agronomy, 2020 - mdpi.com
A diverse population (429 member) of canola (Brassica napus L.) consisting primarily of
winter biotypes was assembled and used in genome-wide association studies. Genotype by …

Genomic prediction using existing historical data contributing to selection in biparental populations: a study of kernel oil in maize

Y Hao, H Wang, X Yang, H Zhang, C He, D Li… - The plant …, 2019 - Wiley Online Library
Maize (Zea mays L.) kernel oil provides high‐quality nutrition for animal feed and human
health. A certain number of maize breeding programs seek to enhance oil concentration and …

Genomic-enabled prediction with classification algorithms

L Ornella, P Pérez, E Tapia, JM González-Camacho… - Heredity, 2014 - nature.com
Pearson's correlation coefficient (ρ) is the most commonly reported metric of the success of
prediction in genomic selection (GS). However, in real breeding ρ may not be very useful for …

Potential of genomic selection in rapeseed (Brassica napus L.) breeding

T Würschum, S Abel, Y Zhao - Plant Breeding, 2014 - Wiley Online Library
Genomic selection employs genome‐wide marker data to predict genomic breeding values.
In this study, a population consisting of 391 lines of elite winter oilseed rape derived from …

Prediction and association mapping of agronomic traits in maize using multiple omic data

Y Xu, C Xu, S Xu - Heredity, 2017 - nature.com
Genomic selection holds a great promise to accelerate plant breeding via early selection
before phenotypes are measured, and it offers major advantages over marker-assisted …

Comparison of genomic selection models for exploring predictive ability of complex traits in breeding programs

LF Merrick, AH Carter - The Plant Genome, 2021 - Wiley Online Library
Traits with a complex unknown genetic architecture are common in breeding programs.
However, they pose a challenge for selection due to a combination of complex …