Prediction of heterosis in the recent rapeseed (Brassica napus) polyploid by pairing parental nucleotide sequences

Q Wang, T Yan, Z Long, LY Huang, Y Zhu, Y Xu… - PLoS …, 2021 - journals.plos.org
The utilization of heterosis is a successful strategy in increasing yield for many crops.
However, it consumes tremendous manpower to test the combining ability of the parents in …

Association mapping for phenological, morphological, and quality traits in canola quality winter rapeseed (Brassica napus L.)

N Honsdorf, HC Becker, W Ecke - Genome, 2010 - cdnsciencepub.com
QTL mapping by association analysis has recently gained interest in plant breeding
research as an alternative to QTL mapping in segregating populations from biparental …

Comparison of whole-genome prediction models for traits with contrasting genetic architecture in a diversity panel of maize inbred lines

C Riedelsheimer, F Technow, AE Melchinger - BMC genomics, 2012 - Springer
Background There is increasing empirical evidence that whole-genome prediction (WGP) is
a powerful tool for predicting line and hybrid performance in maize. However, there is a lack …

[HTML][HTML] Genome-wide haplotype analysis improves trait predictions in Brassica napus hybrids

HU Jan, M Guan, M Yao, W Liu, D Wei, A Abbadi… - Plant science, 2019 - Elsevier
Combining ability is crucial for parent selection in crop hybrid breeding. Many studies have
attempted to provide reliable and quick methods to identify genome regions in parental lines …

Association mapping analysis of fatty acid content in different ecotypic rapeseed using mrMLM

M Guan, X Huang, Z Xiao, L Jia, S Wang… - Frontiers in Plant …, 2019 - frontiersin.org
Brassica napus L. is a widely cultivated oil crop and provides important resources of edible
vegetable oil, and its quality is determined by fatty acid composition and content. To explain …

Comprehensive analytical and empirical evaluation of genomic prediction across diverse accessions in maize

MJ Dzievit, T Guo, X Li, J Yu - The Plant Genome, 2021 - Wiley Online Library
Efficiently exploiting natural genetic diversity captured by accessions stored in genebanks is
crucial to genetic improvement of major crops. Selecting accessions of interest from …

[HTML][HTML] Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data

H Tong, Z Nikoloski - Journal of plant physiology, 2021 - Elsevier
Highly efficient and accurate selection of elite genotypes can lead to dramatic shortening of
the breeding cycle in major crops relevant for sustaining present demands for food, feed …

Using local convolutional neural networks for genomic prediction

T Pook, J Freudenthal, A Korte, H Simianer - Frontiers in genetics, 2020 - frontiersin.org
The prediction of breeding values and phenotypes is of central importance for both livestock
and crop breeding. In this study, we analyze the use of artificial neural networks (ANN) and …

Association mapping of seed quality traits in Brassica napus L. using GWAS and candidate QTL approaches

HA Gajardo, B Wittkop, B Soto-Cerda, EE Higgins… - Molecular …, 2015 - Springer
Single nucleotide polymorphisms (SNPs) have rapidly become the molecular marker of
choice in plant and animal association mapping (AM) studies. In this work, a genome-wide …

Improvement of predictive ability in maize hybrids by including dominance effects and marker× environment models

LFV Ferrão, CD Marinho, PR Munoz… - Crop …, 2020 - Wiley Online Library
Hybrid breeding programs are driven by the potential to explore the heterosis phenomenon
in traits with nonadditive inheritance. Traditionally, progress has been achieved by crossing …