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 …

Wild emmer introgression alters root-to-shoot growth dynamics in durum wheat in response to water stress

H Bacher, F Zhu, T Gao, K Liu, BK Dhatt… - Plant …, 2021 - academic.oup.com
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 …

[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 …

Physiological trait networks enhance understanding of crop growth and water use in contrasting environments

SM Gleason, DM Barnard, TR Green… - Plant, Cell & …, 2022 - Wiley Online Library
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 …

Genome-wide association study for morphological, physiological, and productive traits in Coffea arabica using structural equation models

MM Suela, CF Azevedo, ACC Nascimento… - Tree Genetics & …, 2023 - Springer
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 …

Multi-trait random regression models increase genomic prediction accuracy for a temporal physiological trait derived from high-throughput phenotyping

T Baba, M Momen, MT Campbell, H Walia, G Morota - Plos one, 2020 - journals.plos.org
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 …

[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 …

[HTML][HTML] Structural equation modeling for unraveling the multivariate genomic architecture of milk proteins in dairy cattle

S Pegolo, H Yu, G Morota, V Bisutti, GJM Rosa… - Journal of Dairy …, 2021 - Elsevier
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 …

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 …

Identification and utilization of genetic determinants of trait measurement errors in image-based, high-throughput phenotyping

Y Zhou, A Kusmec, SV Mirnezami, L Attigala… - The Plant …, 2021 - academic.oup.com
The accuracy of trait measurements greatly affects the quality of genetic analyses. During
automated phenotyping, trait measurement errors, ie differences between automatically …