“Elaborate statistics are not substitute
for meticulous experimentation.”
G.W. Snedecor

Scientific publications of Doriane: ressources to organize, share and valorize your research projects

15min

From plant breeding to industrial process: Integrated data management with a Research Resource Planning

As the wheat transformation sector is strongly involved into breeding, R&D organizations have to deal with new insights and settle strategies and processes to give efficient responses for better seed performances and quality of the pasta transformation process.

Breeders need to provide industry a stable quality of pasta regarding environment variations.

To comply with the needs of the market and societal expectations for transparency, breeding data management becomes a real challenge to make this information a source of improvement in breeding.

Skilled Information System teams build integrated data management and analysis approaches, based on a Research Resource Planning and collaborative database systems, to support innovative long-term processes such as wheat pedigree breeding, agronomic research and laboratory analysis.

Direct link to this publication

Variety testing is essential to evaluate the potential of new varieties in diversified field conditions. This process takes into account materials with great genetic worth and aims to select the best productive ones. Many disciplines such as biotechnology, agronomy or biochemistry offer to researchers a large range of tools to increase the efficiency of testing programs and drive them during this selective process. Huge amounts of data are generated and analyzing all these data is one of the biggest challenge of researchers in a limited time context. Through this poster we are looking for solutions to make the work of researchers easier by automating some human manipulations related to trial validation. In the context of the RnDExperience® software suite, we are studying different approaches of trial data analysis with AI and more specifically Machine Learning.

Direct link to this publication

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 managed. In this study we will describe a user case scenario: after making many crosses and selves, hybrids of a fraction of the segregating lines are created and observed. Results are studied to find the best original parents and decide which untested hybrids should be included in next year’s trials (Soula, 2015). The analysis is carried out using several visualization tools from the RnDExp™ software, the advantages and drawbacks of each tool is discussed.

Direct link to this publication

One of the biggest challenges for plant breeders is to deal with interactions. Particulary, they aim at identifying witch (female * male) combination is offering the most promising specific combining ability (SCA). After the pioneer works of Turkey (1949) and Mandel (1971), the AMMI (for " Additive main effects and multiplicative interaction") framework bacame very popular during the last dacade. Based on a pratical example analyzed using LABKEY™*, this study is intending to show how this software is providing the users with tools helping them to predict and display specific combining abilities (SCA) for non-observed hybrid combinations. These predictions are made using Principal Component Analysis (PCA) results obtained on the observed crosses, under the hypothesis that they represent a connected, unbiased subset of the complete set of possible combinations.

*LABKEY™ is the former name of RnDExp™ software suite for applied research

Direct link to this publication

One of the biggest challenges for plant breeders is to deal with interactions. Indeed, they aim at identifying the specific adaptation of cultivars to a particular set of environments – with the hope also to detect a wide adaptation in some cultivar. In the case of hybrid breeding, they also aim at identifying which {female * male} combination is offering the most promising specific combining ability (SCA). After the pioneer works of Tukey (1949) and Mandel (1971), the AMMI (for “Additive main effects and multiplicative interaction”) framework became very popular during the last decade. Based on two practical examples analyzed using the R software, this study is intending to show how LABKEY™* (Soula et al., 2014) will provide the users with tools helping them to find out the key factors involved in Genotype * Environment (GxE) interaction, and to predict specific combining abilities (SCA) for non observed hybrid combinations.

*LABKEY™ is the former name of RnDExp™ software suite for applied research

Direct link to this publication

Design and analyze field trials as Lattices or Alpha-Designs can remove some possible field heterogeneities that may introduce biases in the results by calculating adjusted variety means. However, these adjustments are obtained at the cost of strong design constraints. We investigate here a less restrictive method to adjust the results: no  constraints are imposed on the design, and adjustments are done using a nearest neighbour method. How does this alternative method compare to the previous ones? Would it be useful to add it to the LABKEY™* software?

*LABKEY™ is the former name of RnDExp™ software suite for applied research

Direct link to this publication

Since its creation in 1984, DORIANE has developed an expertise in massive storage, multi‐site and security aspects of research data management in the domain of agronomy.    In the ten past years, thanks to the contribution of several generations of developers and to the strong relationships with industrials, LABKEY™* has become a standard for research departments involved in plant breeding, phenotyping, testing in networks of trials and laboratory activities.

*LABKEY™ is the former name of RnDExp™ software suite for applied research

This white paper describes best practices to choose and implement a software to run testing experimentation.

Explains in details what can be optimized by an IT system for setting up the trials, for printing reports, labels and maps, to manage data and analyze the results.

*LABKEY™ is the former name of RnDExp™ software suite for applied research

In the last two decades many fields have been facing new challenges regarding the rapid evolution of computer science and biotechnologies. Plant breeding, both for fundamental research and the industry, has benefited from the availability of cheap personal computers and private genotyping laboratories, thus entering the age of Biotechnology Assisted Breeding. These new assets imply, however, higher expectations, especially for data management.

*LABKEY™ is the former name of RnDExp™ software suite for applied research

READ THE ARTICLE

Was this article useful for you ? (Anonymous) SEND
Leave a comment
Doriane RnDExp Mobile Brochure
mobile data collection software breeding rndexp doriane

Offline application to record agronomic notations an Windows Pcs and tablets. Designed to rapidly and safely observe and measure a large number of items, by manual, vocal or connected input. Available in three editions to fit every research organization: FREE trial, PROFESSIONAL unlimited and ENTERPRISE with data and configuration synchronization, and improved performances. More information on rndexpmobile.com

Doriane Testing Brochure
hybrid testing brochure

Throughout the whole testing process, RnDExperience™ includes all the tools needed to prepare the campaign, manage the experiment, edit the culture units, analyze the results, share the conclusions and help in decision-making.

Doriane, your R&D IT partner

Doriane Logo

About Doriane

The expertise of Doriane brings the three players of R&D the resources to organize, share and valorize their research projects:
RESEARCH DEPARTMENTS: Fast implementation of business processes ; Liberation of researchers creativity
IT DEPARTMENTS: Real-time centralization of multilocation data ; Security and integrity of data
MANAGEMENT: Maximization of research investments ; Research departments monitoring ; Intellectual assets valorization and sustainability

Contact

31 avenue Jean Médecin
06000 Nice, France
contact@doriane.com
+33 (0) 492 478 444
Customer Area

You'll receive a mail with your new password.

Technical Support
Attend a demonstration
TeamViewer client for remote demonstration

After downloading and executing the file contact Doriane for login and password.

Support remote control
TeamViewer client for technical support

After downloading and executing the file please send login and password to Doriane.