Bayesian Networks Illustrate Genomic and Residual Trait Connections in Maize (Zea mays L.)
… The methodology is illustrated using a maize data set. Biological objectives of this case
study are the investigation of connections among maize traits and the comparison of networks …
study are the investigation of connections among maize traits and the comparison of networks …
[HTML][HTML] Multi-trait and multi-environment genomic prediction for flowering traits in maize: a deep learning approach
F Mora-Poblete, C Maldonado, L Henrique… - Frontiers in Plant …, 2023 - frontiersin.org
… Maize (Zea mays L.), the third most widely cultivated cereal … If R0 is the residual covariance
for more than one trait, then R … adjusting the weights that connect the layers to optimize the …
for more than one trait, then R … adjusting the weights that connect the layers to optimize the …
Genomic Bayesian confirmatory factor analysis and Bayesian network to characterize a wide spectrum of rice phenotypes
… not be obtained by standard multi-trait analysis. We utilized … the dependencies introduced
by genomic relationships. Finally, the … genomic best linear unbiased prediction, the residuals …
by genomic relationships. Finally, the … genomic best linear unbiased prediction, the residuals …
[HTML][HTML] Genome-wide prediction in a hybrid maize population adapted to Northwest China
… ranged from 0.386 to 0.794 across traits and models. Six parametric … Increasing maize (Zea
mays L.) yield is one of the most … implementing various genomic relationships in regressions. …
mays L.) yield is one of the most … implementing various genomic relationships in regressions. …
Modeling multiple phenotypes in wheat using data‐driven genomic exploratory factor analysis and Bayesian network learning
… into a Bayesian network to obtain a trait structure reflecting … of additive genetic effect and
residuals, respectively, and ⊗ is the … phenotyping data, where relationships within image-based …
residuals, respectively, and ⊗ is the … phenotyping data, where relationships within image-based …
New Approaches to Use Genomics, Field Traits, and High-Throughput Phenotyping for Gene Discovery in Maize (Zea mays)
Z Liang - 2019 - search.proquest.com
… enable researchers to connect phenotype with genotype and … This thesis will demonstrate
the importance of using new … the total maize genome) likely represents residual sequence from …
the importance of using new … the total maize genome) likely represents residual sequence from …
Factors influencing genomic prediction accuracies of tropical maize resistance to fall armyworm and weevils
… these traits, hence the difficulty in improving these traits through … relationships, the number
of markers used to estimate … variance component other than the residual error, has a close …
of markers used to estimate … variance component other than the residual error, has a close …
[HTML][HTML] Accurate prediction of quantitative traits with failed SNP calls in canola and maize
… and demonstrate that failed allele calls in genomic prediction … random epistatic effects, and
e is the random residual term. … An analysis of genomic relationships in maize showed high …
e is the random residual term. … An analysis of genomic relationships in maize showed high …
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
… few rare quantitative trait loci, a Bayesian variable selection model (… of residuals with e ∼ N
( 0 , I σ e 2 ) . Depending on the … We illustrate a two-dimensional case. The blue ellipses show …
( 0 , I σ e 2 ) . Depending on the … We illustrate a two-dimensional case. The blue ellipses show …