[HTML][HTML] Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding

FA Van Eeuwijk, D Bustos-Korts, EJ Millet, MP Boer… - Plant science, 2019 - Elsevier
New types of phenotyping tools generate large amounts of data on many aspects of plant
physiology and morphology with high spatial and temporal resolution. These new …

[HTML][HTML] Physiological adaptive traits are a potential allele reservoir for maize genetic progress under challenging conditions

C Welcker, NA Spencer, O Turc, I Granato… - Nature …, 2022 - nature.com
Combined phenomic and genomic approaches are required to evaluate the margin of
progress of breeding strategies. Here, we analyze 65 years of genetic progress in maize …

[HTML][HTML] Improving genomic prediction using high-dimensional secondary phenotypes

B Arouisse, TPJM Theeuwen, FA Van Eeuwijk… - Frontiers in …, 2021 - frontiersin.org
In the past decades, genomic prediction has had a large impact on plant breeding. Given the
current advances of high-throughput phenotyping and sequencing technologies, it is …

[HTML][HTML] Carbon isotope composition, water use efficiency, and drought sensitivity are controlled by a common genomic segment in maize

V Avramova, A Meziane, E Bauer… - Theoretical and Applied …, 2019 - Springer
Key message A genomic segment on maize chromosome 7 influences carbon isotope
composition, water use efficiency, and leaf growth sensitivity to drought, possibly by affecting …

Genomic Bayesian confirmatory factor analysis and Bayesian network to characterize a wide spectrum of rice phenotypes

H Yu, MT Campbell, Q Zhang, H Walia… - G3: Genes, Genomes …, 2019 - academic.oup.com
With the advent of high-throughput phenotyping platforms, plant breeders have a means to
assess many traits for large breeding populations. However, understanding the genetic …

[HTML][HTML] Utilizing trait networks and structural equation models as tools to interpret multi-trait genome-wide association studies

M Momen, MT Campbell, H Walia, G Morota - Plant methods, 2019 - Springer
Background Plant breeders seek to develop cultivars with maximal agronomic value, which
is often assessed using numerous, often genetically correlated traits. As intervention on one …

Rewiring network plasticity to improve crops

M Hetti‐Arachchilage, GS Challa… - Plant Breeding …, 2021 - Wiley Online Library
Plant systems show dynamic responses, such as changes in architecture and physiology, to
adjust their growth in changing environments. The reconfiguration of network modules …

Modeling multiple phenotypes in wheat using data‐driven genomic exploratory factor analysis and Bayesian network learning

M Momen, M Bhatta, W Hussain, H Yu, G Morota - Plant Direct, 2021 - Wiley Online Library
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 …

Reconstruction of networks with direct and indirect genetic effects

W Kruijer, P Behrouzi, D Bustos-Korts… - Genetics, 2020 - academic.oup.com
Genetic variance of a phenotypic trait can originate from direct genetic effects, or from
indirect effects, ie, through genetic effects on other traits, affecting the trait of interest. This …

Bayesian network analysis of plasma microRNA sequencing data in patients with venous thrombosis

F Thibord, G Munsch, C Perret, P Suchon… - European Heart …, 2020 - academic.oup.com
MicroRNAs (miRNAs) are small regulatory RNAs participating to several biological
processes and known to be involved in various pathologies. Measurable in body fluids …