Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice
Wanneng Yang,Zilong Guo,Chenglong Huang,Lingfeng Duan,Guoxing Chen,Ni Jiang,Wei Fang,Hui Feng,Weibo Xie,Xingming Lian,Gongwei Wang,Qingming Luo,Qifa Zhang,Qian Liu,Lizhong Xiong +14 more
TLDR
A high-throughput rice phenotyping facility is developed to monitor 13 traditional agronomic traits and 2 newly defined traits during the rice growth period and genome-wide association studies of the 15 traits identify 141 associated loci.Abstract:
Next-generation sequencing technology has made the generation of huge amounts of genetic data possible, but phenotype characterization remains slow and difficult. Here the authors develop a high-throughput phenotyping facility for rice that is able to accurately identify and characterize traits related to morphology, biomass and yield.read more
Citations
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Machine Learning for High-Throughput Stress Phenotyping in Plants
TL;DR: This work provides a comprehensive overview and user-friendly taxonomy of ML tools to enable the plant community to correctly and easily apply the appropriate ML tools and best-practice guidelines for various biotic and abiotic stress traits.
Journal ArticleDOI
Lights, camera, action: high-throughput plant phenotyping is ready for a close-up
TL;DR: This work highlights recent developments in high-throughput plant phenotyping using robotic-assisted imaging platforms and computer vision-assisted analysis tools.
Journal ArticleDOI
Eight high-quality genomes reveal pan-genome architecture and ecotype differentiation of Brassica napus.
Jiaming Song,Zhilin Guan,Jianlin Hu,Chaocheng Guo,Zhiquan Yang,Shuo Wang,Dongxu Liu,Bo Wang,Shaoping Lu,Run Zhou,Wen-Zhao Xie,Yuanfang Cheng,Yuting Zhang,Kede Liu,Qingyong Yang,Ling-Ling Chen,Liang Guo +16 more
TL;DR: PAV-based genome-wide association analysis uncovered causal variations for agronomic traits and ecotype differentiation in rapeseed and showed that PAVs in three FLOWERING LOCUS C genes were closely related to flowering time and ecotypes differentiation.
Journal ArticleDOI
Crop Phenomics and High-Throughput Phenotyping: Past Decades, Current Challenges, and Future Perspectives.
Wanneng Yang,Hui Feng,Xuehai Zhang,Jian Zhang,John H. Doonan,William D. Batchelor,Lizhong Xiong,Jianbing Yan +7 more
TL;DR: Main developments on high-throughput phenotyping in the controlled environments and field conditions as well as for post-harvest yield and quality assessment in past decades are reviewed and the latest multiomics works combining high- throughput phenotypesing and genetic studies are described.
Journal ArticleDOI
Genetic variation in ZmVPP1 contributes to drought tolerance in maize seedlings
Wang Xianglan,Hongwei Wang,Shengxue Liu,Ali Ferjani,Jiansheng Li,Jianbing Yan,Xiaohong Yang,Feng Qin +7 more
TL;DR: A genome-wide association study (GWAS) of maize drought tolerance at the seedling stage that identified 83 genetic variants, which were resolved to 42 candidate genes showed that the natural variation in ZmVPP1, encoding a vacuolar-type H+ pyrophosphatase, contributes most significantly to the trait.
References
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