2 resultados para Weight-related behaviors

em AMS Tesi di Dottorato - Alm@DL - Università di Bologna


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This thesis aimed to characterise two large tetraploid germplasm collections. The Global Durum Panel, involving modern cultivars and landrances and the Tetraploid Global Collection which comprises all the tetraploid wheat subgroups. Two distinct parallel studies were carried out. The first is focused on the characterisation of both collection for yield and quality related traits. The panel were phenotyped for two consecutive years each. In this phase the following traits were collected: the number of fertile spikelets per spike, the number of fertile florets of central spikelet for the spike-related traits. The following grain related traits were also phenotyped: the thousand kernel weight, the average grain area, average grain length, average grain width, grain brightness, grain redness, grain yellowness. GWAS analysis were performed for each collected trait and major QTLs were subjected to candidate gene analysis. Major QTLs emerging from GWA study were located on chromosome 2A with a strong bibliographic evidence for grain number-related traits such as the fertile spikelet number, the number of fertile florets per central spikelet. On the other hand two evident peaks were detected on chromosomes 6A and 7B for grain size and weight related traits. The second work was focused on the characterisation of the Global Durum Panel for root system architecture components, namely the root growth angle. GWAS analysis was perfomed and three major QTLs were detected on chromosome 2A, 6A and 7A. These three QTLs all have a bibliographic evidence.

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Social networks are one of the “hot” themes in people’s life and contemporary social research. Considering our “embeddedness” in a thick web of social relations is a study perspective that could unveil a number of explanations of how people may manage their personal and social resources. Looking at people’s behaviors of building and managing their social networks, seems to be an effective way to find some possible rationalization about how to help people getting the best from their resources . The main aim of this dissertation is to give a closer look at the role of networking behaviors. Antecedents, motivations, different steps and measures about networking behaviors and outcomes are analyzed and discussed. Results seem to confirm, in a different setting and time perspective, that networking behaviors include different types and goals that change over time. Effects of networking behaviors seem to find empirical confirmation through social network analysis methods. Both personality and situational self-efficacy seem to predict networking behaviors. Different types of motivational drivers seem to be related to diverse networking behaviors.