ArticlePlant biotechnology journal2020
High-throughput phenotyping accelerates the dissection of the dynamic genetic architecture of plant growth and yield improvement in rapeseed.
Article in Plant biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Next-Generation Genotyping: Innovations Driving Plant Genomic Improvement.Life (Basel, Switzerland) · 2026Review
- Genome-wide association mapping and candidate genes analysis of high-throughput image descriptors for wheat frost tolerance.Stress biology · 2025Article
- Biotic and Abiotic Factors Influencing Maize Plant Height.International journal of molecular sciences · 2025Review
- Dissecting the genetic architecture of key agronomic traits in lettuce using a MAGIC population.Genome biology · 2025Article
- Stress phenotyping analysis leveraging autofluorescence image sequences with machine learning.Frontiers in plant science · 2024Article
- Phenotypic characteristics of the mycelium ofFrontiers in bioengineering and biotechnology · 2024Article
- Deciphering genetic basis of developmental and agronomic traits by integrating high-throughput optical phenotyping and genome-wide association studies in wheat.Plant biotechnology journal · 2023Article
- A Strategy for the Acquisition and Analysis of Image-Based Phenome in Rice during the Whole Growth Period.Plant phenomics (Washington, D.C.) · 2023Article
- Plant synthetic epigenomic engineering for crop improvement.Science China. Life sciences · 2022Review
- The Global Assessment of Oilseed Brassica Crop Species Yield, Yield Stability and the Underlying Genetics.Plants (Basel, Switzerland) · 2022Review
- Article
- Integration of multi-omics technologies for crop improvement: Status and prospects.Frontiers in bioinformatics · 2022Article
- Machine learning assisted dynamic phenotypes and genomic variants help understand the ecotype divergence in rapeseed.Frontiers in plant science · 2022Article
- Genome-Wide Association Studies of Salt-Alkali Tolerance at Seedling and Mature Stages inFrontiers in plant science · 2022Article
- Exploring the gene pool of Brassica napus by genomics-based approaches.Plant biotechnology journal · 2021Review
- Multi-omics-based prediction of hybrid performance in canola.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- High-Throughput Phenotyping: A Platform to Accelerate Crop Improvement.Phenomics (Cham, Switzerland) · 2021Review
- The unconventional adverse effects of fungal pretreatment on iturin A fermentation by Bacillus amyloliquefaciens CX-20.Microbial biotechnology · 2021Article
- Omics: The way forward to enhance abiotic stress tolerance inGM crops & food · 2021Review
- High-throughput phenotyping accelerates the dissection of the dynamic genetic architecture of plant growth and yield improvement in rapeseed.Plant biotechnology journal · 2020Article
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12 authors.
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Abstract
Rapeseed is the second most important oil crop species and is widely cultivated worldwide. However, overcoming the 'phenotyping bottleneck' has remained a significant challenge. A clear goal of high-throughput phenotyping is to bridge the gap between genomics and phenomics. In addition, it is important to explore the dynamic genetic architecture underlying rapeseed plant growth and its contribution to final yield. In this work, a high-throughput phenotyping facility was used to dynamically screen a rapeseed intervarietal substitution line population during two growing seasons. We developed an automatic image analysis pipeline to quantify 43 dynamic traits across multiple developmental stages, with 12 time points. The time-resolved i-traits could be extracted to reflect shoot growth and predict the final yield of rapeseed. Broad phenotypic variation and high heritability were observed for these i-traits across all developmental stages. A total of 337 and 599 QTLs were identified, with 33.5% and 36.1% consistent QTLs for each trait across all 12 time points in the two growing seasons, respectively. Moreover, the QTLs responsible for yield indicators colocalized with those of final yield, potentially providing a new mechanism of yield regulation. Our results indicate that high-throughput phenotyping can provide novel insights into the dynamic genetic architecture of rapeseed growth and final yield, which would be useful for future genetic improvements in rapeseed.
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