Starting a variometer station network in France

International audienceThe Institut de physique du globe de Paris (IPGP) magnetic observatory service mission is to provide ground-based geomagnetic observations and data products of the highest quality. This service operates the French National Magnetic Observatory, located in Chambon-la-Forêt (Loiret, France), a network of eleven overseas observatories, a network of eleven repeat stations and now, two variometer stations in metropolitan France. Acquiring magnetic variometer data requires to construct and maintain non-magnetic infrastructures in magnetically clean and isolated places so as to minimize local disturbances. We aim at having magnetic data transmitted in near-real time to IPGP where they are distributed as raw data. Since both vector and absolute scalar data are collected in our variometer network, simple checks for data quality and consistency are possible. Yearly visits to the observation sites are planned, for maintenance purpose and absolute measurements. Acquisition processes are set to follow regulations from INTERMAGNET in terms of format and equipment quality

Validation of cross progeny variance genomic prediction using simulations and experimental data in winter elite bread wheat

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Indirect versus Direct Selection of Winter Wheat for Low‐Input or High‐Input Levels

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Validation of cross progeny variance genomic prediction using simulations and experimental data in winter elite bread wheat

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Economical optimization of a breeding scheme by selective phenotyping of the calibration set in a multi-trait context: application to bread making quality

International audienceTrait-assisted genomic prediction approach is a way to improve genetic gain by cost unit, by reducing budget allocated to phenotyping or by increasing the program's size for the same budget. This study compares different strategies of genomic prediction to optimize resource allocation in breeding schemes by using information from cheaper correlated traits to predict a more expensive trait of interest. We used bread wheat baking score (BMS) calculated for French registration as a case study. To conduct this project, 398 lines from a public breeding program were genotyped and phenotyped for BMS and correlated traits in 11 locations in France between 2000 and 2016. Single-trait (ST), multi-trait (MT) and trait-assisted (TA) strategies were compared in terms of predictive ability and cost. In MT and TA strategies, information from dough strength (W), a cheaper trait correlated with BMS (r = 0.45), was evaluated in the training population or in both the training and the validation sets, respectively. TA models allowed to reduce the budget allocated to phenotyping by up to 65% while maintaining the predictive ability of BMS. TA models also improved the predictive ability of BMS compared to ST models for a fixed budget (maximum gain: + 0.14 in cross-validation and + 0.21 in forward prediction). We also demonstrated that the budget can be further reduced by approximately one fourth while maintaining the same predictive ability by reducing the number of phenotypic records to estimate BMS adjusted means. In addition, we showed that the choice of the lines to be phenotyped can be optimized to minimize cost or maximize predictive ability. To do so, we extended the mean of the generalized coefficient of determination (CD) criterion to the multi-trait context (CD)