Understanding the metabolome and metagenome as extended phenotypes: The next frontier in macroalgae domestication and improvement
KJ DeWeese, MG Osborne - Journal of the World Aquaculture …, 2021 - Wiley Online Library
Abstract “Omics” techniques (including genomics, transcriptomics, metabolomics,
proteomics, and metagenomics) have been employed with huge success in the …
proteomics, and metagenomics) have been employed with huge success in the …
Wild emmer introgression alters root-to-shoot growth dynamics in durum wheat in response to water stress
Water deficit during the early vegetative growth stages of wheat (Triticum) can limit shoot
growth and ultimately impact grain productivity. Introducing diversity in wheat cultivars to …
growth and ultimately impact grain productivity. Introducing diversity in wheat cultivars to …
[HTML][HTML] Invited review: Recursive models in animal breeding: Interpretation, limitations, and extensions
L Varona, O González-Recio - Journal of Dairy Science, 2023 - Elsevier
Structural equation models allow causal effects between 2 or more variables to be
considered and can postulate unidirectional (recursive models; RM) or bidirectional …
considered and can postulate unidirectional (recursive models; RM) or bidirectional …
Physiological trait networks enhance understanding of crop growth and water use in contrasting environments
Plant function arises from a complex network of structural and physiological traits. Explicit
representation of these traits, as well as their connections with other biophysical processes …
representation of these traits, as well as their connections with other biophysical processes …
Genome-wide association study for morphological, physiological, and productive traits in Coffea arabica using structural equation models
Yield is one of the most important traits of arabica coffee. Plant breeders seek to maximize
yield directly or indirectly, using other related traits. The standard multi-trait genome-wide …
yield directly or indirectly, using other related traits. The standard multi-trait genome-wide …
Multi-trait random regression models increase genomic prediction accuracy for a temporal physiological trait derived from high-throughput phenotyping
Random regression models (RRM) are used extensively for genomic inference and
prediction of time-valued traits in animal breeding, but only recently have been used in plant …
prediction of time-valued traits in animal breeding, but only recently have been used in plant …
[HTML][HTML] Gut microbiome mediates host genomic effects on phenotypes: a case study with fat deposition in pigs
F Tiezzi, J Fix, C Schwab, C Shull… - Computational and …, 2021 - Elsevier
A large number of studies have highlighted the importance of gut microbiome composition in
shaping fat deposition in mammals. Several studies have also highlighted how host genome …
shaping fat deposition in mammals. Several studies have also highlighted how host genome …
[HTML][HTML] Structural equation modeling for unraveling the multivariate genomic architecture of milk proteins in dairy cattle
The aims of this study were to investigate potential functional relationships among milk
protein fractions in dairy cattle and to carry out a structural equation model (SEM) GWAS to …
protein fractions in dairy cattle and to carry out a structural equation model (SEM) GWAS to …
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 …
Identification and utilization of genetic determinants of trait measurement errors in image-based, high-throughput phenotyping
The accuracy of trait measurements greatly affects the quality of genetic analyses. During
automated phenotyping, trait measurement errors, ie differences between automatically …
automated phenotyping, trait measurement errors, ie differences between automatically …