Luc Janss

@ljanss.bsky.social

Plant breeding and genetics, big data, prediction, spanning from functional genomics to satellitte images, professor at Aarhus University, Denmark

Very happy to share this exciting opportunity in quantitative genetics applied to organic breeding, in collaboration with Sidsel Schmidt from the Innovation Center for Organic Agriculture, Joanne Russel from James Hutton Institute, and Jan Svenson from NordGen. international.au.dk/about/profil...

Postdoctoral researcher in quantitative genetics applied to organic oat breeding - Vacancy at Aarhus University

Vacancy at Center for Quantitative Genetics and Genomics, Aarhus University

international.au.dk

Plant breeders are often reluctant to select purely on genomic predictions in rapid cycling generations. It's refreshing to see @kwsgroup.bsky.social now highlighting this as an important approach to accelerate breeding. There are challenges, but I'm convinced this is coming!

KWS Group@kwsgroup.bsky.social · 11mo ago

Today, it takes about 10 years on average for a new variety to reach the field - but this timeframe could be dramatically shortened in future 🌱⏱️ Learn about the tools and strategies that make this possible in our latest #KWSPortrait 👉 portrait.kws.com/edition-2025...

Good point. Collecting the data often need many years, hours and $$$, it adds another irony to use a quick & dirty method for analysis. Machine learners are proud to spend thousands of hours HPC time for an analysis, biologist are proud if they can do an analysis in 30 secs on their laptop.

Hanbin Lee@epigenci.bsky.social · 11mo ago

Haseman-Elston regression is bit of an irony for massive biobanks because it throws away the statistical precision that was gained by accounting for more samples. You might be able to analyze more data, but you don't get more information out of it.

1/ If you're in bioinformatics, you're staring at matrices all day. RNA-seq? Gene x sample. scRNA-seq? Gene x cell. Everything is a matrix. But I never learned how to think in matrices. And I regret it.

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Confused about vector resize() and reserve() in #C++? Resize modifies the size and fills default values; after resize'ing use [] to fill elements. Reserve only reserves memory in the background but size remains zero; after reserve use push_back to fill the vector. Don't confuse these two!

Teaching on additive, dominance, epistatic, transcriptomic, environmental (and more) relationship matrices, it occurs that the VanRaden GRMs are an exception with a sum(2pq) scaling, whereas all others are simply scaled to average diagonal 1. Can't we just scale all 'kernels' to mean diagonal 1?

👇A very needed paper and discussion: genomic and phenomic prediction should not be compared, and suggesting that better phenotype prediction will improve breeding is misleading. Phenotypes include environment, but breeders don't sell environment (let that sink in 🤔🙂).

UCDavisPlants@ucdavisplants.bsky.social · last yr.

🌱 Accuracy stats alone can be misleading: phenomic vs. genomic prediction models require full breeder’s equation analysis to compare real-world value. (Fangyi Wang, Mitchell J Feldmann, Daniel E Runcie) ▶️ www.biorxiv.org/content/10.1... #PlantScience #PlantBreeding #genomics #phenomics

FIGURE 1 Predictive Ability (𝜌𝑦) and Accuracy (𝜌) for Genomic and Phenomic Prediction models

From "X": New article out by Marta Malinowska et al., including a small gene mapping using our Bayesian mapping tools - soon to be released (keep watching bsky 😉): Automated seminal root angle measurement with corrective annotation 🌱 : doi.org/10.1093/aobp... #PlantBreeding #Automation #Phenotyping

Automated seminal root angle measurement with corrective annotation

Abstract. Measuring seminal root angle is an important aspect of root phenotyping, yet automated methods are lacking. We introduce SeminalRootAngle, a nove

doi.org