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Abhishek Gogna

Showing results (1-10 of 7) with videos related to

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Scientific Data|September 2, 2022
Gabi wheat a panel of European elite lines as central stock for wheat genetic researchAbhishek Gogna, Albert W Schulthess, Marion S Röder, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|September 24, 2025
Order from entropy: big data from FAIR data cohorts in the digital age of plant breedingAbhishek Gogna, Daniel Arend, Sebastian Beier, et al.
Genome Biology|January 6, 2026
Predicting enviromically adapted varieties with big dataAbhishek Gogna, Bahareh Kamali, Valentin Wimmer, et al.
Plant Biotechnology Journal|April 20, 2025
Breaking down data silos across companies to train genome-wide predictions: A feasibility study in wheatMoritz Lell, Abhishek Gogna, Vincent Kloesgen, et al.
Scientific Data|December 26, 2022
Large-scale genotyping and phenotyping of a worldwide winter wheat genebank for its use in pre-breedingAlbert W Schulthess, Sandip M Kale, Yusheng Zhao, et al.
Genetics|November 22, 2024
Global genotype by environment prediction competition reveals that diverse modeling strategies can deliver satisfactory maize yield estimatesJacob D Washburn, José Ignacio Varela, Alencar Xavier, et al.
Biorxiv : the Preprint Server for Biology|September 30, 2024
Global Genotype by Environment Prediction Competition Reveals That Diverse Modeling Strategies Can Deliver Satisfactory Maize Yield EstimatesJacob D Washburn, José Ignacio Varela, Alencar Xavier, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Scientific Data|September 2, 2022
Gabi wheat a panel of European elite lines as central stock for wheat genetic researchAbhishek Gogna, Albert W Schulthess, Marion S Röder, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|September 24, 2025
Order from entropy: big data from FAIR data cohorts in the digital age of plant breedingAbhishek Gogna, Daniel Arend, Sebastian Beier, et al.
Genome Biology|January 6, 2026
Predicting enviromically adapted varieties with big dataAbhishek Gogna, Bahareh Kamali, Valentin Wimmer, et al.
Plant Biotechnology Journal|April 20, 2025
Breaking down data silos across companies to train genome-wide predictions: A feasibility study in wheatMoritz Lell, Abhishek Gogna, Vincent Kloesgen, et al.
Scientific Data|December 26, 2022
Large-scale genotyping and phenotyping of a worldwide winter wheat genebank for its use in pre-breedingAlbert W Schulthess, Sandip M Kale, Yusheng Zhao, et al.
Genetics|November 22, 2024
Global genotype by environment prediction competition reveals that diverse modeling strategies can deliver satisfactory maize yield estimatesJacob D Washburn, José Ignacio Varela, Alencar Xavier, et al.
Biorxiv : the Preprint Server for Biology|September 30, 2024
Global Genotype by Environment Prediction Competition Reveals That Diverse Modeling Strategies Can Deliver Satisfactory Maize Yield EstimatesJacob D Washburn, José Ignacio Varela, Alencar Xavier, et al.
Pageof 1