Set up of a methodology for participatory plant breeding in bread wheat in France

In Organic Agriculture, cultivation environments and agronomic practices are very diverse. This diversity can be handled with decentralized selection based on the knowledge of farmers and scientists. A collaborative work between associations from Réseau Semences Paysannes and the DEAP team from INRA du Moulon set up an innovative breeding approach on farm based on decentralization and participation of farmers. This approach makes it possible to (i) create new population varieties of bread wheat locally adapted (genetic innovation) (ii) set up an organizational scheme based on decentralization and co construction between actors (societal innovation) and (iii) develop experimental designs, create statistical and data management tools which stimulate these genetic and societal innovations

Contribución al conocimiento de los foraminíferos del Rocanense de la cuenca de Añelo (provincia de Neuquén)

A foramíníferal fauna From three profiles coIlected in cuenca de Añelo (Provincia de Neuquén ) has been studíed. A list of bentonic and planctonic specimens ís given. From planctonic foramínífera Globoconusa daubiergensis, Subbotina triloculidinoides and Turborotalia peudobulloides, a Lower Paleocene age js assigned to the studied samples.Facultad de Ciencias Naturales y Muse

Contribución al conocimiento de los foraminíferos del Rocanense de la cuenca de Añelo (provincia de Neuquén)

A foramíníferal fauna From three profiles coIlected in cuenca de Añelo (Provincia de Neuquén ) has been studíed. A list of bentonic and planctonic specimens ís given. From planctonic foramínífera Globoconusa daubiergensis, Subbotina triloculidinoides and Turborotalia peudobulloides, a Lower Paleocene age js assigned to the studied samples.Facultad de Ciencias Naturales y Muse

Contribución al conocimiento de los foraminíferos del Rocanense de la cuenca de Añelo (provincia de Neuquén)

A foramíníferal fauna From three profiles coIlected in cuenca de Añelo (Provincia de Neuquén ) has been studíed. A list of bentonic and planctonic specimens ís given. From planctonic foramínífera Globoconusa daubiergensis, Subbotina triloculidinoides and Turborotalia peudobulloides, a Lower Paleocene age js assigned to the studied samples.Facultad de Ciencias Naturales y Muse

Single cell atlas of Xenoturbella bocki highlights limited cell-type complexity

Phylogenetic analyses over the last two decades have united a few small, and previously orphan clades, the nematodermatids, acoels and xenoturbelids, into the phylum Xenacoelomorpha. Some phylogenetic analyses support a sister relationship between Xenacoelomorpha and Ambulacraria (Xenambulacraria), while others suggest that Xenacoelomorpha may be sister to the rest of the Bilateria (Nephrozoa). An understanding of the cell type complements of Xenacoelomorphs is essential to assessing these alternatives as well as to our broader understanding of bilaterian cell type evolution. Employing whole organism single-cell RNA-seq in the marine xenacoelomorph worm Xenoturbella bocki, we show that Xenambulacrarian nerve nets share regulatory features and a peptidergic identity with those found in cnidarians and protostomes and more broadly share muscle and gland cell similarities with other metazoans. Taken together, these data are consistent with broad homologies of animal gland, muscle, and neurons as well as more specific affinities between Xenoturbella and acoel gut and epidermal tissues, consistent with the monophyly of Xenacoelomorpha

Approximate message passing with a colored aliasing model for variable density Fourier sampled images

The Approximate Message Passing (AMP) algorithm eciently reconstructs signals which have been sampled with large i.i.d. sub-Gaussian sensing matrices. However, when Fourier coecients of a signal with non-uniform spectral density are sampled, such as in Magnetic Resonance Imaging (MRI), the aliasing is intrinsically colored. Consequently, AMP’s i.i.d. state evolution is no longer accurate and the algorithm encounters convergence problems. In response, we propose an algorithm based on Orthogonal Approximate Message Passing (OAMP) that uses the wavelet domain to model the colored aliasing. We present empirical evidence that a structured state evolution occurs, where the e↵ective noise covariance matrix is diagonal with one unique entry per subband. A benefit of state evolution is that Stein’s Unbiased Risk Estimate (SURE) can be e↵ectively implemented, yielding an algorithm with no free parameters. We empirically evaluate the e↵ectiveness of the parameterfree algorithm on a synthetic image with three variable density sampling schemes and find that it converges in over 20x fewer iterations than optimally tuned Fast Iterative Shrinkage-Thresholding (FISTA)