French seed company in strawberry, raspberry, asparagus, pioneer of micropropagation and world leader in date palm tree vitro-plants. RnDExp users since 2019.
The Marionnet family has been in plant breeding and production for over a century. Starting with Asparagus in 1891, then Strawberries in the 1920s, the company distinguished itself in 1972 by creating the first private 𝘪𝘯 𝘷𝘪𝘵𝘳𝘰 laboratory in France. 2018 was a turning point with new shareholders, the separation of R&D activities under the name "Marionnet Label", and the ambition to become a major international player in Berries: Strawberry, Raspberry, Blackberry and Blueberry.
Creation of Marionnel Label,
the new R&D department
Partnership with Doriane
for research software
New 400 m² (4 300 ft²) in vitro lab
and R&D center opening
2 Strawberry & Raspberry (CRIV)
2 Blackberry & Blueberry (ABT)
New Strawberry lines from seeds observed every year
(43 055 ft²) multispan
greenhouses in Soings (CRIV)
Increase and expand berry breeding programs
Take full advantage
of the genetic variability of strawberry plants
Standardize and centralize
evaluation methods and data
Secure
the company's knowledge
Replace Excel sheets with RnDExperience™ software
Facilitate
repetitive observation tasks
Configure the software
with Doriane's team, to help us better screen the evaluation criteria
Synchronize, share and secure
data to facilitate their interpretation and exploitation
A complete analysis
of results, operation and comparison of data over the years
Opening new perspectives
to guide the choice of next selections
Expand our activity :
After Strawberry and Raspberry, we are integrating Blackberry
Each year, we screen 400 to 500 strawberry progenies. Keeping our observation books and sharing Excel tables used to be long and tedious tasks. The RnDExperience™ research software allows us to rationalize our work. It is extremely powerful and today we are only using it at 10 or 20% of its potential. It opens up great perspectives for us.
Laurent Chausset, R&D director
Doriane empowers researchers to take smarter decisions by improving data workflow and collaboration
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