3 Works

Data from: How to capture fish in a school? Effect of successive predator attacks on seabird feeding success

Andréa Thiebault, Magali Semeria, Christophe Lett & Yann Tremblay
1. Prey aggregations, such as fish schools, attract numerous predators. This typically leads to the formation of multi-specific groups of predators. These aggregations can be seen both as a place of increased competition and as a place of possible facilitation between predators. Consequently, the functional role of such predator-prey aggregation is uncertain, and its effect on individual feeding success is virtually unknown. 2. Using underwater film footages of different predators feeding on fish schools during...

Data from: Spatial structure of above-ground biomass limits accuracy of carbon mapping in rainforest but large scale forest inventories can help to overcome

Stéphane Guitet, Bruno Hérault, Quentin Molto, Olivier Brunaux & Pierre Couteron
Precise mapping of above-ground biomass (AGB) is a major challenge for the success of REDD+ processes in tropical rainforest. The usual mapping methods are based on two hypotheses: a large and long-ranged spatial autocorrelation and a strong environment influence at the regional scale. However, there are no studies of the spatial structure of AGB at the landscapes scale to support these assumptions. We studied spatial variation in AGB at various scales using two large forest...

Data from: Whole genome sequencing of elite rice cultivars as a comprehensive information resource for marker assisted selection

Jorge Duitama, Alexander Silva, Yamid Sanabria, Daniel Felipe Cruz, Constanza Quintero, Carolina Ballen, Mathias Lorieux, Brian Scheffler, Andrew Farmer, Edgar Torres, James Oard & Joe Tohme
Current advances in sequencing technologies and bioinformatics revealed the genomic background of rice, a staple food for the poor people, and provided the basis to develop large genomic variation databases for thousands of cultivars. Proper analysis of this massive resource is expected to give novel insights into the structure, function, and evolution of the rice genome, and to aid the development of rice varieties through marker assisted selection or genomic selection. In this work we...

Registration Year

  • 2015
    3

Resource Types

  • Dataset
    3

Affiliations

  • Institut de Recherche pour le Développement
    3
  • Institut de Recherche pour le Développement
    2
  • Louisiana State University Agricultural Center
    1
  • National Center for Genome Resources
    1
  • National Forests Office
    1
  • Centro Internacional de Agricultura Tropical
    1
  • Nelson Mandela University
    1
  • International Center for Tropical Agriculture
    1
  • Louisiana State University
    1
  • Centre de Coopération Internationale en Recherche Agronomique pour le Développement
    1