Ecofog - Gagner en compétitivité et réduire les impacts environnementaux de la filière foie gras

On a worldwide scale, France is the leading producer of foie gras. To maintain this leadership, the sector must remain competitive and control its production costs while meeting specific societal and environmental expectations such as preservation of product quality, respect for animal welfare or limited use of natural resources. The aim of the project was to develop innovative production systems that would limit the impacts of feed and its surrounding practices on the competitiveness of the sector and the environment. An experimental approach was associated with a multi-criteria sustainability assessment (farm level), complemented by an analysis of production cost (farm level) and environmental impacts (product level). Two domains were studied: one related to feed, and the other related to ambient conditions during breeding and force-feeding. Several issues have been identified to progress. Reducing the amount of food distributed (-10%) appears as a possible solution to reduce feeding costs during rearing. The use of sorghum is also of interest but its use should be limited to the rearing phase. Lastly, semi-open air system, compared to open-air system, helps to improve IC (Consumption Index) and reduces animal heterogeneity and mortality. This project also provided original results related to the understanding of mechanisms involved in body temperature regulation of ducks on the one hand and on the other hand to LCA results of different innovations. Lastly, it contributed to the creation of two tools: one to drill ventilation ducts and another to calculate production costs. The results were disseminated to the professionals throughout the project in order to make all data available.À l’échelle mondiale, la France est le premier producteur de foie gras. Afin de conserver ce leadership, la filière doit rester compétitive et maîtriser ses coûts de production tout en répondant à des attentes sociétales et environnementales spécifiques telles que la préservation de la qualité des produits, le respect du bien-être animal ou la gestion économe des ressources. Le projet ECOFOG avait pour objectif de développer des systèmes de production innovants, permettant de limiter l’impact de l’alimentation des canards et des pratiques qui l’entourent pour gagner en compétitivité de la filière et diminuer l’impact environnemental de la filière. La démarche expérimentale a été associée à une démarche d’évaluation multicritère de la durabilité à l’échelle de l’atelier, complétée par une analyse des coûts de production à l’échelle de l’atelier et des impacts environnementaux à l’échelle du produit. Deux axes d’étude ont en particulier été développés : l’un autour de l’aliment, et l’autre autour des conditions d’ambiance en élevage et en gavage.Plusieurs pistes ont été identifiées pour progresser. La réduction de la quantité d’aliment distribué (-10%) est une solution possible pour réduire les coûts d'alimentation. L’utilisation de sorgho présente par ailleurs un intérêt environnemental mais son utilisation devrait être limitée à la phase d’élevage. En termes de bâtiments enfin, le système semi plein-air, comparé au système plein-air, contribue à améliorer l’IC (Indice de Consommation) et réduit les écarts de poids entre les animaux et la mortalité. Ce projet a permis d’obtenir des résultats originaux sur les mécanismes impliqués dans la régulation de la température corporelle des canards. Il a aussi permis d’évaluer les impacts environnementaux de la production de foie gras, et d’analyser les conséquences des différents systèmes de production innovants sur les performances, les coûts et la durabilité de la production. Il a enfin contribué à la création de deux outils utiles pour la filière : un outil d’aide au perçage des gaines de ventilation en atelier de gavage et un outil de calcul du coût de production. Ces résultats ont été largement diffusés vers les professionnels afin de rendre l’ensemble de ces données disponibles

Planck 2013 results. VI. High Frequency Instrument data processing

We describe the processing of the 531 billion raw data samples from the High Frequency Instrument (HFI), which we performed to produce six temperature maps from the first 473 days of Planck-HFI survey data. These maps provide an accurate rendition of the sky emission at 100, 143, 217, 353, 545, and 857GHz with an angular resolution ranging from 9.́7 to 4.́6. The detector noise per (effective) beam solid angle is respectively, 10, 6 , 12, and 39 μK in the four lowest HFI frequency channels (100−353GHz) and 13 and 14 kJy sr-1 in the 545 and 857 GHz channels. Relative to the 143 GHz channel, these two high frequency channels are calibrated to within 5% and the 353 GHz channel to the percent level. The 100 and 217 GHz channels, which together with the 143 GHz channel determine the high-multipole part of the CMB power spectrum (50 <ℓ < 2500), are calibrated relative to 143 GHz to better than 0.2%

Planck 2013 results. VI. High Frequency Instrument data processing

We describe the processing of the 531 billion raw data samples from the High Frequency Instrument (hereafter HFI), which we performed to produce six temperature maps from the first 473 days of Planck-HFI survey data. These maps provide an accurate rendition of the sky emission at 100, 143, 217, 353, 545, and 857 GHz with an angular resolution ranging from 9.7 to 4.6 arcmin. The detector noise per (effective) beam solid angle is respectively, 10, 6, 12 and 39 microKelvin in HFI four lowest frequency channel (100--353 GHz) and 13 and 14 kJy/sr for the 545 and 857 GHz channels. Using the 143 GHz channel as a reference, these two high frequency channels are intercalibrated within 5% and the 353 GHz relative calibration is at the percent level. The 100 and 217 GHz channels, which together with the 143 GHz channel determine the high-multipole part of the CMB power spectrum (50 &lt; l &lt;2500), are intercalibrated at better than 0.2 %

Planck 2013 results. VI. High Frequency Instrument data processing

We describe the processing of the 531 billion raw data samples from the High Frequency Instrument (HFI), which we performed to produce six temperature maps from the first 473 days of Planck-HFI survey data. These maps provide an accurate rendition of the sky emission at 100, 143, 217, 353, 545, and 857GHz with an angular resolution ranging from 9.\ub47 to 4.\ub46. The detector noise per (effective) beam solid angle is respectively, 10, 6 , 12, and 39 muK in the four lowest HFI frequency channels (100-353GHz) and 13 and 14 kJy sr-1 in the 545 and 857 GHz channels. Relative to the 143 GHz channel, these two high frequency channels are calibrated to within 5% and the 353 GHz channel to the percent level. The 100 and 217 GHz channels, which together with the 143 GHz channel determine the high-multipole part of the CMB power spectrum (50 <l < 2500), are calibrated relative to 143 GHz to better than 0.2%

Planck 2013 results. VIII. HFI photometric calibration and mapmaking

This paper describes the methods used to produce photometrically calibrated maps from the Planck High Frequency Instrument (HFI) cleaned, time-ordered information. HFI observes the sky over a broad range of frequencies, from 100 to 857 GHz. To obtain the best calibration accuracy over such a large range, two different photometric calibration schemes have to be used. The 545 and 857 GHz data are calibrated by comparing flux-density measurements of Uranus and Neptune with models of their atmospheric emission. The lower frequencies (below 353 GHz) are calibrated using the solar dipole. A component of this anisotropy is time-variable, owing to the orbital motion of the satellite in the solar system. Photometric calibration is thus tightly linked to mapmaking, which also addresses low-frequency noise removal. By comparing observations taken more than one year apart in the same configuration, we have identified apparent gain variations with time. These variations are induced by non-linearities in the read-out electronics chain. We have developed an effective correction to limit their effect on calibration. We present several methods to estimate the precision of the photometric calibration. We distinguish relative uncertainties (between detectors, or between frequencies) and absolute uncertainties. Absolute uncertainties lie in the range from 0.54% to 10% from 100 to 857 GHz. We describe the pipeline used to produce the maps from the HFI timelines, based on the photometric calibration parameters, and the scheme used to set the zero level of the maps a posteriori. We also discuss the cross-calibration between HFI and the SPIRE instrument on board Herschel. Finally we summarize the basic characteristics of the set of HFI maps included in the 2013 Planck data release