Apple fruit rot can be caused by several fungi. In Northern Europe, the most common storage rot, Bull’s eye rot, is caused by Neofabraea spp., bitter rot by Colletotrichum spp., brown rot by Monilinia fructigena, grey mould is caused by Botrytis cinerea and Fusarium rot by several Fusarium species. Blue mold decay caused by Penicillium expansum is an important disease in several European countries. Incidence of different causal agents may vary depending on cultivar, climate during growing season and agricultural practices. The main objective of the study was to obtain baseline information about apple rot-causing fungi, their incidence during fruit storage and to evaluate the fungicide sensitivity of most of isolated fungal species. The study was performed during the storage period of apples after the growth season of 2013. Rotten apples were sorted in the storage and part of them was brought to the laboratory in order to obtain fungal isolates. Fungi were identified according to the morphological characteristics and sequencing of the ITS1-5.8S-ITS2 region. During storage in February and March the total percentage of rotten apples in various cultivars varied from 3.6 to 58.9%. All post-harvest diseases described in Northern Europe were detected. In part of the storehouses apple rot caused by Cadophora luteo-olivacea was observed. Alternaria spp. and Cladosporium spp. were detected on few apples as secondary infection agents. Using the most often isolated fungal species, sensitivity tests were performed against five commonly used fungicides. In general, the sensitivity of tested fungi to the fungicides was high with exception of several Neofabraea and Alternaria isolates.

Climate risks constitute an enormous challenge to poultry production and have affected the livelihoods of the people who depend on them. Thus, farmers have adopted various strategies that can help them cope with the adverse effects of climate change. The aim of this study is to examine the factors influencing small scale poultry farmers’ choice of adaptation strategies to climate change. Data used for this study were obtained from 121 representative farmers selected through a two-stage random sampling procedure. Descriptive Statistics, Likert Scale and the Multinomial Logit Model were the tools used for analysis. Results showed that the mean age and household size of the respondents were 45 years and 5 persons respectively, while the average number of birds per farmer stood at 583 birds. Majority of the respondents had a moderate perception of the impacts of climate change on poultry farming and chose management adaptation strategies in their fight against climate change. Econometric analysis showed that the age, gender and educational status of farmers, number of birds, household size, poultry experience, access to cooperative societies, poultry housing system, access to credit, access to extension services and farm size were the factors influencing farmers’ choice of climate change adaptation strategies in the study area. Therefore, policy should focus on awareness creation on management adaptation strategies through enhancing education and extension services as well as access of poultry farmers to credit facilities to indirectly insure farmers against climate change impacts.

In order to assess the nature of climate change, it is important to analyze the indicators of climate variability in different scales: spatial and temporal. The analysis at different scales can lead to understanding of the nature of variations. Climate change studies are essential for comprehending the nature of global processes, to refine global climate patterns and also develop further research for natural processes (Meinke, Stone, 2005; Hulme et al., 1999). Processes in nature are united, continuous and in constant interaction. Variance of interaction types are immeasurable, types can be connected with different scales and science fields, for example, biological, ecological, physical etc. If interaction is taking place between the land and atmosphere, it is defined as hydrological interaction. As water is significantly important for many purposes on the Earth, it is relevant to analyze precipitation and water runoff on a local scale. In the territory of Latvia, the amount of precipitation exceeds the level of evapotranspiration. Long-term monitoring data show that precipitation leads to average runoff of 250 mm per year (Ziverts, 2004). The monitoring data collected at three research sites located in Latvia was used for this research including Berze (Lielupe river basin, meteorological station in Dobele), Mellupite (Venta river basin, meteorological station in Saldus monitoring) and Vienziemite (Gauja river basin, meteorological station in Zoseni). The results from this study show that there is a pronounced interaction between runoff and precipitation with an average of 53 to 82%.