ArticleFrontiers in plant science2021
High-Throughput Phenotyping and Random Regression Models Reveal Temporal Genetic Control of Soybean Biomass Production.
Article in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Harnessing high-throughput phenotyping and artificial intelligence for soybean breeding: From trait assessment to data-driven decisions.Plant phenomics (Washington, D.C.) · 2026Review
- Understanding plant phenotypes in crop breeding through explainable AI.Plant biotechnology journal · 2025Review
- Genomic selection: Essence, applications, and prospects.The plant genome · 2025Review
- Assessing genotype adaptability and stability in perennial forage breeding trials using random regression models for longitudinal dry matter yield data.G3 (Bethesda, Md.) · 2025Article
- Unveiling the underlying complexities in breeding for disease resistance in crop plants: review.Frontiers in plant science · 2025Review
- Temporally resolved growth patterns reveal novel information about the polygenic nature of complex quantitative traits.The Plant journal : for cell and molecular biology · 2024Article
- Leveraging genomics and temporal high-throughput phenotyping to enhance association mapping and yield prediction in sesame.The plant genome · 2024Article
- SCAG: A Stratified, Clustered, and Growing-Based Algorithm for Soybean Branch Angle Extraction and Ideal Plant Architecture Evaluation.Plant phenomics (Washington, D.C.) · 2024Article
- Random regression for modeling soybean plant response to irrigation changes using time-series multispectral data.Frontiers in plant science · 2023Article
- Genomic prediction and association mapping of maize grain yield in multi-environment trials based on reaction norm models.Frontiers in genetics · 2023Article
- Comparing CNNs and PLSr for estimating wheat organs biophysical variables using proximal sensing.Frontiers in plant science · 2023Article
- Row selection in remote sensing from four-row plots of maize and sorghum based on repeatability and predictive modeling.Frontiers in plant science · 2023Article
- Leveraging spatiotemporal genomic breeding value estimates of dry matter yield and herbage quality in ryegrass via random regression models.The plant genome · 2022Article
- Genetic and Genomic Resources for Soybean Breeding Research.Plants (Basel, Switzerland) · 2022Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding temporal accumulation of soybean above-ground biomass (AGB) has the potential to contribute to yield gains and the development of stress-resilient cultivars. Our main objectives were to develop a high-throughput phenotyping method to predict soybean AGB over time and to reveal its temporal quantitative genomic properties. A subset of the SoyNAM population (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.