Univariate and multivariate analysis on processing tomato quality under different mulches

The use of eco-friendly mulch materials as alternatives to the standard polyethylene (PE) has become increasingly prevalent worldwide. Consequently, a comparison of mulch materials from different origins is necessary to evaluate their feasibility. Several researchers have compared the effects of mulch materials on each crop variable through univariate analysis (ANOVA). However, it is important to focus on the effect of these materials on fruit quality, because this factor decisively influences the acceptance of the final product by consumers and the industrial sector. This study aimed to analyze the information supplied by a randomized complete block experiment combined over two seasons, a principal component analysis (PCA) and a cluster analysis (CA) when studying the effects of mulch materials on the quality of processing tomato (Lycopersicon esculentum Mill.). The study focused on the variability in the quality measurements and on the determination of mulch materials with a similar response to them. A comparison of the results from both types of analysis yielded complementary information. ANOVA showed the similarity of certain materials. However, considering the totality of the variables analyzed, the final interpretation was slightly complicated. PCA indicated that the juice color, the fruit firmness and the soluble solid content were the most influential factors in the total variability of a set of 12 juice and fruit variables, and CA allowed us to establish four categories of treatment: plastics (polyethylene - PE, oxo- and biodegradable materials), papers, manual weeding and barley (Hordeum vulgare L.) straw. Oxobiodegradable and PE were most closely related based on CA

Movers or Stayers? Understanding the Drivers of IDP Camp Decongestion During Post-Conflict Recovery in Uganda

The paper explores factors that influence the household decision to leave internal displacement camps in the immediate aftermath of violent conflict. Our analysis is based on two sources of information: household survey data collected in northern Uganda for households that were displaced by the civil conflict, and geo-referenced data on armed conflict events, with which we construct our developed index of recent conflict exposure. We compare households that moved out of camps with those that remained in the camps after the region was declared safe from rebel incursions. The study covers the first few months of the end of conflict, when return was regarded as largely voluntary. We find that a history of conflict both at the place of residence, and at the expected place of return reduces the likelihood of return. Access to camp services overall encourages households to stay in camps, although the effect varies with the proportion of young household members. Results also show that a history of economic skills poses varying effects on return decisions. While experience in cultivation is associated with a high likelihood of moving out of the camp, households with members with recent experience in trading are less inclined to return. From a policy perspective, the results point to the need for recovery initiatives to ensure access to adequate infrastructures in return locations in order to fast-track reintegration