Integrating gene expression data into genomic prediction
Z Li, N Gao, JWR Martini, H Simianer - Frontiers in genetics, 2019 - frontiersin.org
Gene expression profiles potentially hold valuable information for the prediction of breeding
values and phenotypes. In this study, the utility of transcriptome data for phenotype …
values and phenotypes. In this study, the utility of transcriptome data for phenotype …
Complex-trait prediction in the era of big data
Accurate prediction of complex traits requires using a large number of DNA variants.
Advances in statistical and machine learning methodology enable the identification of …
Advances in statistical and machine learning methodology enable the identification of …
A comparison of classical and machine learning-based phenotype prediction methods on simulated data and three plant species
Genomic selection is an integral tool for breeders to accurately select plants directly from
genotype data leading to faster and more resource-efficient breeding programs. Several …
genotype data leading to faster and more resource-efficient breeding programs. Several …
[HTML][HTML] 全基因组SNP 分型技术在畜禽遗传育种研究中的应用
刘继强， 郝晓东， 武丽娜， 廖诗莹， 冯羿方， 弥世荣… - 畜牧兽医学报, 2022 - xml-data.org
随着畜禽资源分子鉴定, 物种进化, 全基因组育种等热点领域的逐渐兴起, 准确的全基因组SNP
分型成为了畜禽基因组研究的关键. 基因芯片, 重测序, 简化基因组测序及靶向捕获测序等全 …
分型成为了畜禽基因组研究的关键. 基因芯片, 重测序, 简化基因组测序及靶向捕获测序等全 …
Predictive breeding for maize: Making use of molecular phenotypes, machine learning, and physiological crop models
Maize (Zea mays L.) has been a focus of scientific research and breeding for over a century.
It is also one of the most economically important crops in the world, with a value of …
It is also one of the most economically important crops in the world, with a value of …
High density marker panels, SNPs prioritizing and accuracy of genomic selection
LY Chang, S Toghiani, A Ling, SE Aggrey, R Rekaya - BMC genetics, 2018 - Springer
Background The availability of high-density (HD) marker panels, genome wide variants and
sequence data creates an unprecedented opportunity to dissect the genetic basis of …
sequence data creates an unprecedented opportunity to dissect the genetic basis of …
Exploring the areas of applicability of whole-genome prediction methods for Asian rice (Oryza sativa L.)
A Onogi, O Ideta, Y Inoshita, K Ebana… - Theoretical and applied …, 2015 - Springer
Key message Our simulation results clarify the areas of applicability of nine prediction
methods and suggest the factors that affect their accuracy at predicting empirical traits …
methods and suggest the factors that affect their accuracy at predicting empirical traits …
Accuracy of genomic selection and long‐term genetic gain for resistance to Verticillium wilt in strawberry
DDA Pincot, MA Hardigan, GS Cole… - The Plant …, 2020 - Wiley Online Library
Verticillium wilt, a soil‐borne disease caused by the fungal pathogen Verticillium dahliae,
threatens strawberry (Fragaria× ananassa) production worldwide. The development of …
threatens strawberry (Fragaria× ananassa) production worldwide. The development of …
Will big data close the missing heritability gap?
Modern biobanks that collect genotype-phenotype information from hundreds of thousands
of individuals bring unprecedented opportunities for genomic... Despite the important …
of individuals bring unprecedented opportunities for genomic... Despite the important …
Predictive ability of genome-assisted statistical models under various forms of gene action
Recent work has suggested that the performance of prediction models for complex traits may
depend on the architecture of the target traits. Here we compared several prediction models …
depend on the architecture of the target traits. Here we compared several prediction models …