Effects of irrigation on root growth and development of soybean: A 3-year sandy field experiment

KT Bui, T Naruse, H Yoshida, Y Toda, Y Omori… - Frontiers in Plant …, 2022 - frontiersin.org
Increasing the water use efficiency of crops is an important agricultural goal closely related
to the root system—the primary plant organ for water and nutrient acquisition. In an attempt …

Integrating genomic prediction and genotype specific parameter estimation in ecophysiological models: overview and perspectives

P Poudel, B Naidenov, C Chen, PD Alderman… - in silico …, 2023 - academic.oup.com
Abstract The Genome-to-Phenome (G2P) problem is one of the highest-priority challenges
in applied biology. Ecophysiological crop models (ECM) and genomic prediction (GP) …

Genomic selection performs as effectively as phenotypic selection for increasing seed yield in soybean

NB Bandillo, D Jarquin, LG Posadas… - The Plant …, 2023 - Wiley Online Library
Increasing the rate of genetic gain for seed yield remains the primary breeding objective in
both public and private soybean [Glycine max (L.) Merr.] breeding programs. Genomic …

Genomic prediction of green fraction dynamics in soybean using unmanned aerial vehicles observations

Y Toda, G Sasaki, Y Ohmori, Y Yamasaki… - Frontiers in Plant …, 2022 - frontiersin.org
With the widespread use of high-throughput phenotyping systems, growth process data are
expected to become more easily available. By applying genomic prediction to growth data, it …

High-throughput field phenotyping reveals that selection in breeding has affected the phenology and temperature response of wheat in the stem elongation phase

L Roth, L Kronenberg, H Aasen, A Walter… - Journal of …, 2024 - academic.oup.com
Crop growth and phenology are driven by seasonal changes in environmental variables,
with temperature as one important factor. However, knowledge about genotype-specific …

Reaction norm for genomic prediction of plant growth: modeling drought stress response in soybean

Y Toda, G Sasaki, Y Ohmori, Y Yamasaki… - Theoretical and Applied …, 2024 - Springer
Key message We proposed models to predict the effects of genomic and environmental
factors on daily soybean growth and applied them to soybean growth data obtained with …

Modeling soybean growth: A mixed model approach

M Delattre, Y Toda, J Tressou… - PLOS Computational …, 2024 - journals.plos.org
The evaluation of plant and animal growth, separately for genetic and environmental effects,
is necessary for genetic understanding and genetic improvement of environmental …

I-SVVS: Integrative stochastic variational variable selection to explore joint patterns of multi-omics microbiome data

T Dang, Y Fuji, K Kumaishi, E Usui, S Kobori, T Sato… - 2024 - researchsquare.com
High-dimensional multi-omics microbiome data plays an important role in elucidating
microbial communities' interactions with their hosts and environment in critical diseases and …

Analysis of soybean varieties maturation using multispectral data

AA Polukhin, RK Kurbanov, YS Tsench… - … Series: Earth and …, 2023 - iopscience.iop.org
Aerial photography using unmanned aerial vehicles and a multispectral camera is used to
monitor the condition of soybean crops, predict their development and phenotyping. This …