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Luc Janss

@ljanss.bsky.social
792 followers 28 following 17 posts

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

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Reposted by Luc Janss
Guillaume Ramstein @guillramstein.bsky.social · 20/05/2026
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...
international.au.dk
Postdoctoral researcher in quantitative genetics applied to organic oat breeding - Vacancy at Aarhus University
Vacancy at Center for Quantitative Genetics and Genomics, Aarhus University
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Luc Janss @ljanss.bsky.social · 28/11/2025
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!
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Luc Janss @ljanss.bsky.social · 13/11/2025
Presented on the frontiers of genomic prediction for #PlantBreeding at the 8th Cereal Biotennology and Breeding conference in Budapest, and got some traction on X!
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Luc Janss @ljanss.bsky.social · 12/11/2025
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.
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Luc Janss @ljanss.bsky.social · 05/11/2025
No, you will not triple yield by tripling the number of grains per spike 👇
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Reposted by Luc Janss
Ming Tommy Tang @tommytang.bsky.social · 23/10/2025
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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Luc Janss @ljanss.bsky.social · 22/10/2025
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!
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Luc Janss @ljanss.bsky.social · 12/09/2025
Somebody has fenced off and seems to claim chromosome X. Elon? 🤣
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Luc Janss @ljanss.bsky.social · 27/08/2025
And another touch of geniality: he used observable Mendelian traits (colors on the seeds) as markers to map the quantitative trait, and understood it needs a cross to prove genetic linkage. It's gene mapping using biparental families in a rudimentary form.
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Luc Janss @ljanss.bsky.social · 08/08/2025
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?
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Reposted by Luc Janss
Murukarthick Jayakodi @murukarthickj.bsky.social · 16/06/2025
Unraveling Mendel’s final mysteries: A genomic retelling of pea genetics: Cell www.cell.com/cell/fulltex...
cell.com
Unraveling Mendel’s final mysteries: A genomic retelling of pea genetics
Using modern genomic tools, Feng et al. revisited Mendel’s seven pea traits in a recent Nature study, uncovering the molecular genetic basis of all of them, including the three unresolved ones: pod co...
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Luc Janss @ljanss.bsky.social · 07/06/2025
👇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 🤔🙂).
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Luc Janss @ljanss.bsky.social · 25/05/2025
On the domestication of maize (aka corn) with @jrossibarra.bsky.social (a podcast) 👇
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Luc Janss @ljanss.bsky.social · 08/05/2025
Can recommend both the conference and the city 👇
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Luc Janss @ljanss.bsky.social · 07/05/2025
We know GBLUP prediction accuracy gets worse for more distant generations (implying SNP effects changing!). In my teaching I explain it's long-range LD (from selection and family structure) breaking down. This nice article substantiates this more properly: doi.org/10.1186/s127...
doi.org
Erosion of estimated genomic breeding values with generations is due to long distance associations between markers and QTL - Genetics Selection Evolution
Background Most validation studies of genomic evaluations on candidates (prior to observing phenotypes) present inflation of their predicted breeding values, i.e., regression coefficients of their lat...
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Luc Janss @ljanss.bsky.social · 02/04/2025
This professor position can fit any candidates working on genomic tools to address resilience, sustainability, climate adaptation or biodiversity in agriculture 👇
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Luc Janss @ljanss.bsky.social · 09/03/2025
Our summer course on #genomicPrediction with me and @guillramstein.bsky.social is running this year 4-8 August, application deadline 18 March. Info and registration see: international.au.dk/education/ad...
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Luc Janss @ljanss.bsky.social · 25/01/2025
Interesting work on combining distantly related populations aka closely related species 👇
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Luc Janss @ljanss.bsky.social · 08/01/2025
Very interesting work finding large diversity in a fungal wheat pathogen. Can be fun to build on this with some epidemiological (host) genetic modeling, and to think about implications for disease resistance breeding
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Luc Janss @ljanss.bsky.social · 22/11/2024
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
doi.org
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
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