Efficient communication with the laboratory is crucial to the breeding and testing departments.
- Share sample identification
- Tracking material along the biotech protocol
- Manage blind analysis
- Real time access of the results recorded by the lab
How to improve collaboration between the biotech laboratory and breeding activities?
How to save time and avoid errors from sample collection to analytical testing ?
In 30 minutes our agro and IT expert Rudy Mezino presents you the ins and outs of integrating laboratory activities processes to the breeding software.
Caracterizing how varieties perform their best genetic potential requires more and more chalenging agronomic studies.
Every testing process can be optimised by a digital tool for decision making that handles:
- high amount of heterogenenous data
- diversified analytics and data visualization tools
- partial automation of key decisional flow steps
Let's get an overview on useful tools such as multi-location experiment setup, interactive matrix, handling field heterogeneities, statistical reports, web mapping, etc...
How to integrate the research software in an heterogeneous information system ?
The research department is integrated into the company value chain and connected with other administrative and organizational activities.
How to build efficient tools to take good decisions in real time in an heterogeneous IT environment ?
Integrating with one unified tool different activities is more efficient than an Information System fragmented with various bridges to maintain.
What tools are available to centralize germplasm historical data, field notations, connected measures, laboratory results, APIs, IoTs and reporting information in the research database ?
How to share breeding data and processes efficiently throughout the research department ?
- Order biotech analysis and retrieve the MM results
- Share field trial work with technicians
- Communicate variety and hybrid performances with the Product Development department
Avoid errors and stress, reach "Real Time" !
Innovative phenotype data collected by drones enable agronomists to study new traits and take better decisions:
→ Disease follow-up trait: Measure the plots' disease sensibility indicator
→ Yield-related traits: Leaf area index, height, QPAR (total amount of solar energy intercepted)
→ Counting plants, leaves, fruits
Click here for more information.
Alexis Comar, Founder and CEO, Hi-Phen (www.hiphen-plant.com/)
Tristan Duminil, Agronomist and business engineer, Doriane
When studying hybrid phenotypic and genotypic data, it is challenging to find the right graphical representations, to answer a broad range of questions. The difficulty stems from the large amount of heterogeneous data generated in a material’s lifecycle that needs to be displayed and
From starting crosses to product development, every breeding process can be optimized by a digital tool for decision-making that handles:
- High amount of heterogeneous data
- Automation of key decisional flow steps
- Dynamic graphical Tools.
Monitor your testing campaigns on a remote database software configured for your testing activities:
Powered by RnDExperience®, already used for field crops, vegetables, ornamentals, perennials and forages worldwide.
Why choose a mobile application to collect your vegetal heterogeneous data? Is it actually more reliable? How handy is the handling?
In 30 minutes our agro and IT expert Rudy Mezino presents you the ins and outs of data collection with a tablet or PC.
How to configure your labels for R&D processes ?
Get tips to manage labels in the department. What support to use, Various processes to implement : laboratory, stock, field identification, crops, weight measure, inventory, blind names...
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Make sure your warehouse stocks are always true by putting in place a few stock management procedures:
- Inventory management
- Tracking seed stocks and samples
- Team work facilitated by efficient IT tools
- Material coding
Good practices to manage samples in R&D departments, and why an integrated information system may help:
- Collection (sampling planning, protocols, forms, notices)
- Tracking (labels, barcodes, white labeling, inventory)
- Quality control (transformation tracking, work stations)
- Analysis and communication of result
Assistance in parent choices, management of lines and self-pollination, breeding nurseries and behavioral nurseries.
Automatic codification of generation n+1 using your custom methods
Study of material by experiment at the raw, plant and genotype level
Geographic adjustment by the closest controls and latin square controls
View of color-coded results and calculated variables
Accurate choices and relevant decisions are crucial to the productivity of breeding activities, from the starting cross to product development brochures.
Every breeding process can be optimised by a digital tool for decision making that handles:
high amount of heterogenenous data
partial automation of key decisional flow steps
Let's get an overview on useful tools such as interactive crossing matrix, predictive crossing matrix or GCA/SCA matrix, Dynamic genealogy graphs, statistical reports, web mapping, etc...
Dispatching the material for the new season is a pivot of the campaign, and implies touchy choices of material dispatching depending on environmental conditions heterogeneities of your trial network.
Save time industrializing your research processes:
- Daily reporting with automatic statistical report at the end of the day
- Trial Validation after raw data import
- Seed dispatching depending on quantities of seed available
Every scenario will be illustrated by a business case.
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