Modeling multiple phenotypes in wheat using data‐driven genomic exploratory factor analysis and Bayesian network learning
Inferring trait networks from a large volume of genetically correlated diverse phenotypes
such as yield, architecture, and disease resistance can provide information on the manner in …
such as yield, architecture, and disease resistance can provide information on the manner in …
WheatNet: a genome-scale functional network for hexaploid bread wheat, Triticum aestivum
Gene networks provide a system-level overview of genetic organizations and enable the
dissection of functional modules underlying complex traits. Integration of diverse genomics …
dissection of functional modules underlying complex traits. Integration of diverse genomics …
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 …
A network modeling approach provides insights into the environment-specific yield architecture of wheat
N DeWitt, M Guedira, JP Murphy, D Marshall… - Genetics, 2022 - academic.oup.com
Wheat (Triticum aestivum) yield is impacted by a diversity of developmental processes which
interact with the environment during plant growth. This complex genetic architecture …
interact with the environment during plant growth. This complex genetic architecture …
Comprehensive evaluation of mapping complex traits in wheat using genome-wide association studies
Genome-wide association studies (GWAS) are effectively applied to detect the marker trait
associations (MTAs) using whole genome-wide variants for complex quantitative traits in …
associations (MTAs) using whole genome-wide variants for complex quantitative traits in …
Identification of variation in adaptively important traits and genome-wide analysis of trait–marker associations in Triticum monococcum
HC Jing, D Kornyukhin, K Kanyuka… - Journal of …, 2007 - academic.oup.com
Einkorn wheat Triticum monococcum (2 n= 2 x= 14, AmAm) is one of the earliest
domesticated crops. However, it was abandoned for cultivation before the Bronze Age and …
domesticated crops. However, it was abandoned for cultivation before the Bronze Age and …
Multi-trait genomic-enabled prediction enhances accuracy in multi-year wheat breeding trials
A Montesinos-López, DE Runcie, MI Ibba… - G3, 2021 - academic.oup.com
Implementing genomic-based prediction models in genomic selection requires an
understanding of the measures for evaluating prediction accuracy from different models and …
understanding of the measures for evaluating prediction accuracy from different models and …
Multitrait, random regression, or simple repeatability model in high‐throughput phenotyping data improve genomic prediction for wheat grain yield
High‐throughput phenotyping (HTP) platforms can be used to measure traits that are
genetically correlated with wheat (Triticum aestivum L.) grain yield across time. Incorporating …
genetically correlated with wheat (Triticum aestivum L.) grain yield across time. Incorporating …
Combining crop growth modeling and statistical genetic modeling to evaluate phenotyping strategies
Genomic prediction of complex traits, say yield, benefits from including information on
correlated component traits. Statistical criteria to decide which yield components to consider …
correlated component traits. Statistical criteria to decide which yield components to consider …
Genome-wide association mapping of three important traits using bread wheat elite breeding populations
J Bordes, E Goudemand, L Duchalais, L Chevarin… - Molecular …, 2014 - Springer
The exponential development of molecular markers enables a more effective study of the
genetic architecture of traits of economic importance, like test weight in wheat (Triticum …
genetic architecture of traits of economic importance, like test weight in wheat (Triticum …