Vincent Garin

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Publications (15)

• Culture, ethnicity, and crop choice: insights from tribal and non-tribal farmers in Adilabad District, India
  Marijn Voorhaar, Vittal Rao Kumra, Jana Kholová +1 more
  Agriculture and Human Values 2025 DOI: 10.1007/s10460-025-10794-1
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• Factors influencing phenomic prediction: A case study on a large sorghum back cross nested association mapping population
  The Plant Phenome Journal 2025 DOI: 10.1002/ppj2.70051
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• Genetic Control of Root Morphology in Rapeseed Recombinant Inbred Lines Grown Under Contrasting Nitrogen Levels
  Physiologia Plantarum 2025 DOI: 10.1111/ppl.70431
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• Factors Influencing Phenomic Prediction: A Case Study on a Large Sorghum BCNAM Population
  2025 DOI: 10.1101/2025.02.04.636400
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• Characterization of adaptation mechanisms in sorghum using a multireference back-cross nested association mapping design and envirotyping
  Vincent Garin, Chiaka Diallo, Mohamed Lamine Tékété +19 more
  GENETICS 2024 DOI: 10.1093/genetics/iyae003
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• Characterization of the Pearl Millet Cultivation Environments in India: Status and Perspectives Enabled by Expanded Data Analytics and Digital Tools
  Vincent Garin, Sunita Choudhary, Tharanya Murugesan +6 more
  Agronomy 2023 DOI: 10.3390/agronomy13061607
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• Characterization of adaptation mechanisms in sorghum using a multi-reference back-cross nested association mapping design and envirotyping
  2023 DOI: 10.1101/2023.03.11.532173
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• Characterization of the pearl millet cultivation environments in India: status and perspectives enabled by expanded data analytics and digital tools
  2023 DOI: 10.1101/2023.02.18.529051
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• New algorithm for pearl millet modelling in APSIM allowing a mechanistic simulation of tillers
  Vincent Garin, Erik J van Oosterom, Greg McLean +6 more
  2023 DOI: 10.1101/2023.02.12.528159
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• The influence of QTL allelic diversity on QTL detection in multi-parent populations: a simulation study in sugar beet
  BMC Genomic Data 2021 DOI: 10.1186/s12863-021-00960-9
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• Environmental characterization and yield gap analysis to tackle genotype-by-environment-by-management interactions and map region-specific agronomic and breeding targets in groundnut
  Amir Hajjarpoor, Jana Kholová, Janila Pasupuleti +8 more
  Field Crops Research 2021 DOI: 10.1016/j.fcr.2021.108160
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• Multi-parent multi-environment QTL analysis: an illustration with the EU-NAM Flint population
  Theoretical and Applied Genetics 2020 DOI: 10.1007/s00122-020-03621-0
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• The influence of QTL allelic diversity on QTL detection in multi-parent populations: a simulation study in sugar beet
  2020 DOI: 10.1101/2020.02.04.930677
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• The usefulness of multi-parent multi-environment QTL analysis: an illustration in different NAM populations
  2020 DOI: 10.1101/2020.02.03.931626
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• A statistical framework for the detection of quantitative trait loci in plant multi-parent populations composed of crosses
  2019 DOI: 10.18174/494464
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