Integrating high-throughput phenotyping gwas

Author: gioz

August undefined, 2024

Nettet4. apr. 2024 · A high-throughput screen that measures transgene transcription from precisely defined integration sites would provide a direct scoring metric that could be used to prioritize sites for retargeting, in contrast to previous hotspot prediction methods relying on endogenous transcriptomic or epigenomic attributes (Cheng et al., 2016; Dhiman et … Nettet7. apr. 2024 · The structure of the maize kernels plays a critical role in determining maize yield and quality, and high-throughput, non-destructive microscope phenotypic characteristics acquisition and analysis are of great importance. In this study, Micro-CT technology was used to obtain images of maize kernels. An automatic CT image …

Combining GS-assisted GWAS and transcriptome analysis to mine …

Nettet18. jun. 2024 · High-throughput automatic phenotyping platform for cotton. (a) Geographic origin of 200 collected upland cotton. (b) Drought experiments were carried … NettetL. (2024). Integration of high-throughput phenotyping, GWAS, and predictive models reveals the genetic architecture of plant height in maize. Mol. Plant. 16, 354–373. st mary\u0027s catholic school westphalia mi

Phenomics‐based GWAS analysis reveals the genetic architecture …

Nettet6 timer siden · Baronas et al. paired human height GWASs with functional genome-wide screening of growth-plate chondrocytes. Targets were enriched in height heritability and genes critical for endochondral ossification. This study emphasizes that functional assays in relevant tissues can refine likely causal genes from GWASs and implicates new … NettetIntegrating high-throughput phenotyping, GWAS and prediction models reveals the genetic architecture of plant height in maize. Introduction. Here, we developed an automated high-throughput phenotyping platform (HTP) and used it to quantify image-based traits (i-traits) for 228 maize inbred lines across all developmental stages. Nettet26. mai 2024 · For traits such as light interception, biomass accumulation, and responses to stressors, the data generated by the various high-throughput phenotyping (HTP) methods requires adequate statistical techniques to evaluate phenotypic records throughout time. st mary\u0027s catholic school wallasey

Combining GS-assisted GWAS and transcriptome analysis to mine …

Agronomy Free Full-Text CT-Based Phenotyping and Genome …

NettetIntegrating the GWAS, RNA-seq and WGCNA data, we ultimately identified four key regulatory genes (PtrNAC123, ... Module-phenotype correlation analysis of the eight traits revealed that plant height, ... respective. The Illumina NovaSeq™ 6000 high-throughput sequencing platform was used to perform RNA-seq on the library. Nettet20. des. 2024 · The use of BRACE has been found to be a reliable method for large-scale, high-throughput phenotyping. Similarly, thermography has been used for high-throughput phenotyping in a tropical maize population under water stress, where the method found reliable, fast, and much more efficient than the conventional approaches … st mary\u0027s cbgs facebookNettet57 light intensity is difficult to measure at the scale required for association studies. High-58 throughput thermal imaging was used to bypass the phenotyping bottleneck and assess 10 traits 59 describing stomatal conductance (gs) before, during and after a stepwise decrease in light 60 intensity for a diversity panel of 659 sorghum accessions. st mary\u0027s catholic voluntary academy brigg

"Nettet16. mar. 2012 · Genomic selection (GS) and high-throughput phenotyping have recently been captivating the interest of the crop breeding community from both the public and private sectors world-wide. Both approaches promise to revolutionize the prediction of complex traits, including growth, yield and adaptation to stress. " - Integrating high-throughput phenotyping gwas

Integrating high-throughput phenotyping gwas

Dhananjay Gotarkar, Ph.D - Plant Physiology Scientist High Throughput ...

NettetPlant Physiology Scientist High Throughput Field Phenotyping Scientific Writer Project Leader University of Missouri Columbia Jan 2024 - Present 4 months Nettet14. apr. 2024 · Accurately and rapidly counting the number of maize tassels is critical for maize breeding, management, and monitoring the growth stage of maize plants. With the advent of high-throughput phenotyping platforms and the availability of large-scale datasets, there is a pressing need to automate this task for genotype and phenotype …

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Nettet29. nov. 2024 · In this study, we developed an automated high-throughput phenotyping platform (HTP) to systematically and noninvasively quantify 77 image-based traits (i … Nettet12. apr. 2024 · Phenomics technologies have advanced rapidly in the recent past for precision phenotyping of diverse crop plants. High-throughput phenotyping using imaging sensors has been proven to fetch more informative data from a large population of genotypes than the traditional destructive phenotyping methodologies. It provides …

Nettet1. mai 2024 · Current implementations of non-destructive high-throughput phenotyping platforms include the use of sophisticated technologies such as: i) infrared thermography and imagery to scan temperature profiles/transpiration; ii) fluorescent microscopy/spectroscopy to assess photosynthetic rates; iii) 3D reconstruction to … Nettet18. jul. 2024 · In this chapter, we discuss phenotyping research for important grain crop traits using multidisciplinary technologies and then introduce some pioneering work on …

NettetHigh-throughput phenotyping tools integrate various hi-tech tools, such as robotics, computer-based data, spectroscopy, and high-throughput imaging. Although significant progress has been made in creating high-throughput phenotyping methods to screen abiotic stress-tolerant or -sensitive phenotypic traits, there are no standardized … Nettet10. mar. 2024 · High‐throughput genotyping (HTG) providing higher genome‐wide marker density, as well as accurate and precise phenotyping using high-throughput …

Nettet5. apr. 2024 · 2.3 Use of HTP for GWAS and GS. ... We summarize some key methods developed for integrating high-throughput genomic and HTP information for the purpose of increasing the accuracy of prediction by extending the standard GS ... High-throughput phenotyping and phenomics offer numerous opportunities to understand plant …

Nettet29. okt. 2024 · A typical deep learning framework for phenotyping starts with feeding and preprocessing of raw images, followed by several layers of automatic feature extraction during training, and ends up with the trained and validated model that can identify, classify, quantify, and predict the phenotypic traits of interest ( Singh et al., 2024 ). st mary\u0027s cause of our joy westland miNettet30. nov. 2024 · Integrating high-throughput phenotyping, GWAS and prediction models reveals the genetic architecture of plant height in maize. Citation: Wang W, Guo W, Le L, Yu J, Wu Y, Li D, Li D, Wang H, Qiao H, Gu X, et al. Integrating high-throughput phenotyping, GWAS and prediction models reveals the genetic architecture of plant … st mary\u0027s catholic school wimbledonNettet26. mai 2024 · For traits such as light interception, biomass accumulation, and responses to stressors, the data generated by the various high-throughput phenotyping (HTP) … st mary\u0027s cbs belfastNettetRapid advancements in high-throughput phenotyping, genome rese-quencing, marker genotyping, and genome editing techniques in plants have empowered crop improvement research. The flow of 2of17 ... st mary\u0027s catholic voluntary academy granthamNettetHere, we developed an automated high-throughput phenotyping platform (HTP) to systematically and noninvasively quantify 77 image-based traits (i-traits) and 20 field … st mary\u0027s catholic voluntary academy derbyNettet12. mai 2024 · Key Scientific Concepts of Review:High-throughput phenotyping, which facilitates non-contact and dynamic measurements, has the potential to offer … st mary\u0027s ceNettet1. mar. 2024 · High throughput phenotyping Genomic selection Yield prediction modeling TO MEET THE FUTURE GLOBAL DEMAND for food, the current levels of crop production need to increase between 59 and 98% by 2050 compared to 2005 levels ( Valin et al., 2013 ). This is up to a 2.4% yield increase per year for grain crops ( Ray et al., … st mary\u0027s cbs clonmel