Information about the inheritance of threshold traits is scarce, especially in plants. We examined the genetic control of kernel row number in maize (Zea mays). Knowledge of this inheritance is especially important because it is a primary component of grain…

2010

2009, Autores: Jorge Blajos, Patrick Lavelle, Dalva M. da Mota, Lucia Pitalluga, Sergio Salles Filho, Jorge Irán Vásquez.

The demand for agricultural products has been increasing in all countries in the last decades. Together with the decrease in natural resources and the possible impacts to agriculture caused by climatic changes, this aspect has aroused concerns in terms of…

Coffea canephora breeding requires combining sustainable productivity with improved technological and cup quality characteristics. Beverage quality is a complex and subjective trait, and breeding for this trait is time consuming and depends on knowledge of the genetics of its components.…

This study investigates the importance of traditional hunting knowledge to Cree identity and experience. My fieldwork was conducted in Wemindji, James Bay, Quebec, with Cree trappers and on the interactions of scientific researchers and Cree trappers. I explore the connections…

This research project investigates the nature of university professors' discipline-specific pedagogical knowledge (DPK). Traditionally, DPK has been examined with the help of constructs from two distinct lines of research: the knowledge base for teaching and disciplinary specificity in university teaching.…

The purpose of this qualitative study was an investigation of the phenomenon of Knowledge Management (KM) program design and development. The interest in KM programs has grown during the last decade because of the increased demand for KM educational research…

Knowledge of the distribution of soil organic matter (SOM) fractions is important in managing soils toward a sustainable agricultural system ina tropical environment, However, data on Histosols in limited. This study developed 19 regions of Brazil. Soil organic matter was…

Diagnostic cognitive assessment (DCA) was explored using Bayesian networks and evidence-centred design (ECD) in a statistics learning domain (ANOVA). The assessment environment simulates problem solving activities that occurred in a web-based statistics learning environment. The assessment model is composed of…