Genomic selection: genome-wide prediction in plant improvement
Association analysis is used to measure relations between markers and quantitative trait loci
(QTL). Their estimation ignores genes with small effects that trigger underpinning …
(QTL). Their estimation ignores genes with small effects that trigger underpinning …
Perspectives for genomic selection applications and research in plants
Genomic selection (GS) has created a lot of excitement and expectations in the animal‐and
plant‐breeding research communities. In this review, we briefly describe how genomic …
plant‐breeding research communities. In this review, we briefly describe how genomic …
A deep convolutional neural network approach for predicting phenotypes from genotypes
Main conclusion Deep learning is a promising technology to accurately select individuals
with high phenotypic values based on genotypic data. Abstract Genomic selection (GS) is a …
with high phenotypic values based on genotypic data. Abstract Genomic selection (GS) is a …
Improving the accuracy of whole genome prediction for complex traits using the results of genome wide association studies
Z Zhang, U Ober, M Erbe, H Zhang, N Gao, J He, J Li… - PloS one, 2014 - journals.plos.org
Utilizing the whole genomic variation of complex traits to predict the yet-to-be observed
phenotypes or unobserved genetic values via whole genome prediction (WGP) and to infer …
phenotypes or unobserved genetic values via whole genome prediction (WGP) and to infer …
Genomic selection for drought tolerance using genome-wide SNPs in maize
Traditional breeding strategies for selecting superior genotypes depending on phenotypic
traits have proven to be of limited success, as this direct selection is hindered by low …
traits have proven to be of limited success, as this direct selection is hindered by low …
Benchmarking parametric and machine learning models for genomic prediction of complex traits
The usefulness of genomic prediction in crop and livestock breeding programs has
prompted efforts to develop new and improved genomic prediction algorithms, such as …
prompted efforts to develop new and improved genomic prediction algorithms, such as …
Genomic predictability of interconnected biparental maize populations
C Riedelsheimer, JB Endelman, M Stange… - Genetics, 2013 - academic.oup.com
Intense structuring of plant breeding populations challenges the design of the training set
(TS) in genomic selection (GS). An important open question is how the TS should be …
(TS) in genomic selection (GS). An important open question is how the TS should be …
Kernel-based whole-genome prediction of complex traits: a review
Prediction of genetic values has been a focus of applied quantitative genetics since the
beginning of the 20th century, with renewed interest following the advent of the era of whole …
beginning of the 20th century, with renewed interest following the advent of the era of whole …
Accuracy and responses of genomic selection on key traits in apple breeding
H Muranty, M Troggio, IB Sadok, MA Rifaï… - Horticulture …, 2015 - academic.oup.com
The application of genomic selection in fruit tree crops is expected to enhance breeding
efficiency by increasing prediction accuracy, increasing selection intensity and decreasing …
efficiency by increasing prediction accuracy, increasing selection intensity and decreasing …
Evaluation of RR‐BLUP genomic selection models that incorporate peak genome‐wide association study signals in maize and sorghum
Certain agronomic crop traits are complex and thus governed by many small‐effect loci.
Statistical models typically used in a genome‐wide association study (GWAS) and genomic …
Statistical models typically used in a genome‐wide association study (GWAS) and genomic …