Bayesian Networks Illustrate Genomic and Residual Trait Connections in Maize (Zea mays L.)
Relationships among traits were investigated on the genomic and residual levels using
novel methodology. This included inference on these relationships via Bayesian networks …
novel methodology. This included inference on these relationships via Bayesian networks …
Bayesian mapping of multiple traits in maize: the importance of pleiotropic effects in studying the inheritance of quantitative traits
M Balestre, RG Von Pinho, CL de Souza Junior… - Theoretical and applied …, 2012 - Springer
Pleiotropy has played an important role in understanding quantitative traits. However, the
extensiveness of this effect in the genome and its consequences for plant improvement have …
extensiveness of this effect in the genome and its consequences for plant improvement have …
Genetic inference on quantitative traits through linkage and association studies
Inference on the genetic basis of phenotypic variation in maize can be valuable for basic
scientific understanding of plant processes and crop improvement. The ease by which traits …
scientific understanding of plant processes and crop improvement. The ease by which traits …
Multiple quantitative trait analysis using Bayesian networks
Abstract Models for genome-wide prediction and association studies usually target a single
phenotypic trait. However, in animal and plant genetics it is common to record information on …
phenotypic trait. However, in animal and plant genetics it is common to record information on …
[HTML][HTML] Enhancing genomic prediction with genome-wide association studies in multiparental maize populations
Y Bian, JB Holland - Heredity, 2017 - nature.com
Genome-wide association mapping using dense marker sets has identified some nucleotide
variants affecting complex traits that have been validated with fine-mapping and functional …
variants affecting complex traits that have been validated with fine-mapping and functional …
[PDF][PDF] The use of targeted marker subsets to account for population structure and relatedness in genome-wide association studies of maize
AH Chen, AE Lipka - Zea mays, 2016 - cyberleninka.org
ABSTRACT A typical plant genome-wide association study (GWAS) uses a mixed linear
model (MLM) that includes a trait as the response variable, a marker as an explanatory …
model (MLM) that includes a trait as the response variable, a marker as an explanatory …
The Use of Targeted Marker Subsets to Account for Population Structure and Relatedness in Genome-Wide Association Studies of Maize (Zea mays L.)
A typical plant genome-wide association study (GWAS) uses a mixed linear model (MLM)
that includes a trait as the response variable, a marker as an explanatory variable, and fixed …
that includes a trait as the response variable, a marker as an explanatory variable, and fixed …
[HTML][HTML] Bayesian analysis and prediction of hybrid performance
Background The selection of hybrids is an essential step in maize breeding. However,
evaluating a large number of hybrids in field trials can be extremely costly. However …
evaluating a large number of hybrids in field trials can be extremely costly. However …
Maize association population: a high‐resolution platform for quantitative trait locus dissection
Crop improvement and the dissection of complex genetic traits require germplasm diversity.
Although this necessary phenotypic variability exists in diverse maize, most research is …
Although this necessary phenotypic variability exists in diverse maize, most research is …