The paper expounds the results of a theoretical and practical research on the significance of presence of emotional intelligence in the manager's professiogram. The research aim is to ascertain the role of emotional intelligence in the manager's professiogram in the 21st century. To foster economic development and global competiveness in Latvia, it is necessary to promote quantitative and qualitative growth of innovative enterprises. To make an innovative enterprise perform successfully, the modern management theory and practice have set forth new requirements for enterprise managers - to develop an ability to be a manager-leader themselves. The manager-leader professiogram has to include competencies forming emotional intelligence. The results of a pilot research revealed that students studying the speciality of management and business (at Latvia University of Agriculture) have a quite low self-evaluation for several competencies of their emotional intelligence; besides, an even lower evaluation is awarded by study fellows and group members. Along with studying theoretical aspects of communication, self-cognition, and self-management, the study process for new specialists of management and business has to be arranged in a way that it promotes practical development and use of EI competencies.

The paper deals with the evaluation of the impact of capital investments on the value added in Latvian dairy specialization farms on the basis of FADN data. The evaluation is carried out through analysing the current level of capital investments in Latvia and the link between capital and the net value added and its main components, based on the comparison with the EU leading milk producing countries. The analysis shows that the current level of capital investments is low in Latvia, especially in buildings and fixed equipment. Insufficient capital investments result in high intermediate costs, lower labour productivity due to large labour contribution in the total output, and also in considerably lower level of the value added, especially per AWU in Latvia.

The research of the draining surface water from drained areas has become relevant with an increase of drainage system areas. In order to maintain sufficient drainage efficiency by the draining surface water from the drained fields the density of open inlets for the surface water had to be increased to 5.5 u 100 haE-1. That was determined by the density decline of the open ditches. The observations of the technical condition of open inlets for the surface water in the drained fields of the country have been performed since 1986. It was established that prevalent type of the inlets is F-5 design. Such inlets amounts over 90% of all tested ones. The article discusses the condition of the inlets of such type, evaluates the selection of the installation location, conditions of surface water running to an inlet and the condition of water inlet openings. The research demonstrated some disadvantages of inlet designs, quite a few mistakes of installation and breakdowns during operation. A clear increasing tendency of water inlet openings being blocked by the ground and vegetation was established: in 1986 11.1% of water inlet openings were completely blocked, in 1996 the percentage was 20.8% and in 2007 it was 42.9%. On the basis of this it can be stated that the inlets with halfway blocked openings will stop functioning soon as well if the maintenance work is not carried out in good time and an appropriate way.

The article analyses the seasonal nitrogen variation in drainage water, when the plants in the field crop rotation are fertilized with slurry during different seasons. The investigations were carried out in 2001-2003 in Juodkiškis experimental site of the Lithuanian Water Management Institute. The investigations established that the largest amounts of nitrogen are leached out in spring and in winter. In the autumn fertilized variant 38.8% more of this element was leached out in winter and spring compared with the variant fertilized in spring. During autumn nitrogen leaching was also 21% higher from the variant fertilized in autumn. It was established that the fertilization rate and dissolved inorganic nitrogen (DIN) supply in soil have influence on the concentrations of this element. During the cold season nitrogen concentrations in drainage water, when plants had been fertilized with slurry in spring, were more affected by the supply of dissolved inorganic nitrogen in soil more compared with the rate of fertilization; and if fertilization had been performed in autumn - the concentrations were more affected by the fertilization rate. In warm season both the fertilization rate and the supply of dissolved inorganic nitrogen in soil had similar influence on the concentrations of nitrogen in the drainage water in both treatments. Meteorological conditions affect nitrogen leaching a lot. During the cold season a greater amount of nitrogen is leached out when the air temperature is higher and during the warm season - when more precipitation falls.

The traditional way of dealing with manure - storage, transportation, spreading in the fields - is currently applied very successfully, but is economically very expensive. People complain about very unpleasant smells, which are caused by gasses (indole, merkaptanas, hydrogen sulphide, ammonia) being released from the manure. Scientists are searching for other ways of handling manure which try to convert it to less harmful substances, reduce its odour and at the same time make it thicker by extracting its water content. The aim of our work was to evaluate the composition of slurry after processing it mechanically, and to test the effectiveness of the application of new coagulants and flocculants on its clarification. Fresh liquid manure from 'Sajas' pig complex(Kelme district) and the liquid manure treated in biogas reactors from Lekėčiai pig complex (Šakiai district) was used for research (2006-2008). Anionic coagulants such as aluminium chloride (Al2Cl), ferrous chloride (Fe2Cl) and pollycrilamide cationic flocculant 'Magnofloc 1011' were applied to clarify manure. 40-44% of organic pollutants can be removed from the aerated sewage under constant processing by coagulants and flocculants. The best result in pollutant removal from sewage is achieved when it is processed with 1.5 kg mE-3 norm of aluminium saline (AlCl) and 3.0 g mE-3 norm of flocculant 'Magnofloc 1011'.

The main objective of this study is to demonstrate the use of artificial neural network (AN) modelling tool to predict the risk of phosphorus (P) loss from the fields to nearest water body. The attention is drawn to AN as an alternative approach to the P index calculation for prediction of the P losses. The specific tasks of this study were to determine risk classes of P loss by linking together source and transport factors that accelerate P losses and to evaluate AN model performance for predicting risk classes via nutrient transport. AN was trained with a Levenberg-Marquardt algorithm, and Scaled Conjugate Gradient algorithm was used to estimate the possible risk of P losses from agricultural land. Two small agricultural watersheds in Auce and Bauska were chosen to determine field parameters, and expert's evaluation was used for description of the risk classes' of P loss. Finally these values were used as inputs for the neural network model. The model was trained and validated by assessing its predictive performance on a testing set of data excluded from the training set. The research results highlight the capabilities of AN to predict risk for a particular field and suggest that future research on application of other algorithms is required.

The aim of the study is to analyse society's attitude towards globalization, increased immigration and multicultural dialogue emphasizing the importance of multicultural education. The investigation is based on the EU Comenius school partnership project 'Richness in Diversity' (No.: 07-LVA 01-CO 06-00167-2) where five EU countries (Latvia, Slovakia, Portugal, the Netherlands and Ireland) are involved. During investigation, a qualitative research has been done. The EU Comenius school partnership project 'Richness in Diversity' coordinators (teachers experts) were interviewed to discover their own experience and attitude towards globalization, migration, intercultural dialogue as well as their observations of their students' (aged 12-15) attitude and knowledge at the beginning of the project and dynamics - how changes their attitude when they have a possibility to visit a particular country and meet its inhabitants. The results show a positive progress of the teachers' and students' knowledge about the EU Comenius school partnership project 'Richness in Diversity' involved countries. During the project, mobilities students live in host families which give them an excellent opportunity to get introduced with the particular EU country's family, their everyday life, traditions and habits. It helps them better understand people from different cultures and learn to appreciate the culture diversity.

Sub-Saharan African goats with an estimated population of 180 millions are major asset for farmer communities in a range of agro-ecological zones. This study was undertaken to determine the genetic diversity in and differentiation of relationships among 18 populations of goats from Uganda (4), Tanzania (5), Kenya (2), Mozambique (2), Nigeria (3), Mali (1) and Guinea Bissau (1). Heterozygosity, estimates of FST, genetic diversity and distances were performed using data from 11 microsatellite DNA loci. Expected heterozygosity ranged from 0.450 in Guinea Bissau population to 0.541 in Mbeya population (Tanzania), while the observed heterozygosity ranged from 0.441 in Pafuri population (Mozambique) to 0.560 in Sebei population (Uganda). Mean number of alleles (MNA) per population ranged from 3.82 to 5.91. Gene differentiation (FST) among populations was low (5.3%), a result confirmed by genetic distances (DA). Our results reveal that genetic relationships between populations reflect their geographical proximity rather than morphological classification.

The objective of this study was to estimate the benefits received by producers who adopted improved forages as part of a project[1] carried out in Guatemala, Honduras, Nicaragua, and Costa Rica in terms of increased productivity, stocking rate, and income due to the additional sale of milk and beef in retribution for family labor. Data were obtained from a survey carried out in 2007 that included nine producers in Guatemala, 16 in Honduras, 16 in Nicaragua, and 15 in Costa Rica who had adopted different grass and legume options during the period 2003-2007. The area planted to improved pastures increased in all countries, ranging from 12% in Guatemala to 105% in Nicaragua. Except for Guatemala (where the animal inventory decreased almost 11% due to Hurricane Stan), all countries expanded their herds (between 34% and 41%) in practically all animal categories, not only adult cows. On-farm milk production during the dry season increased 9% in Guatemala, 47% in Honduras and Nicaragua, and 71% in Costa Rica. Milk production during the rainy season remained practically invariable in Guatemala, but increased 48% in Honduras, 19% in Nicaragua, and 53% in Costa Rica. On the other hand, these increases in milk production were also favored by the rise in milk prices in all countries, ranging from 7% in Nicaragua to 36% in Costa Rica during the dry season and from 4% in Nicaragua to 36% in Costa Rica during the rainy season. Beef production accordingly increased 15% in Nicaragua, 46% in Honduras, and 74% in Costa Rica. similar to the trend observed in milk production, beef production did not increase in Guatemala because producers had to sell animals to recover from the losses caused by Hurricane Stan. Likewise, at the end of the project, producers in all countries received higher prices as compared with those obtained at the beginning of the project. The price of beef paid to the producer increased 9% in Guatemala, 4% in Honduras, 5% in Nicaragua, and 11% in Costa Rica. Because of these significant increases in annual milk and meat production, major increases were also observed in the annual net income of farms, reaching 32% in Guatemala, 288% in Honduras, 177% in Nicaragua, and 238% in Costa Rica. These extraordinary increases in net income can be attributed to three factors: (1) the higher milk price in 2007 as compared with that of 2003; (2) higher production due to the better diet; and (3) increased production due to the higher stocking rate allowed because of the adoption of and increase in area sown to improved forages. The increase in the net income of these producers has triggered an increase in the economic returns to family labor, as compared with the commercial value of a day’s wages. Therefore, the returns to family labor in Guatemala went from 3.1 times the value of the minimum wage in 2003 to 6.0 times that value in 2007, representing a 97% increase. In Honduras, the returns to family labor went from 2.9 times the minimum wage in 2003 to 9.8 times that value in 2007, representing a 238% increase. Similarly, in Nicaragua these returns represented a 104% increase and in Costa Rica a 200% increase.

The Ankole pastoral production system in South Western Uganda is based on grazing without supplementary feeding. A stochastic simulation model was developed to determine the dynamics of pastures grazed by Ankole cattle and their Holstein Friesian crosses and the carrying capacity (CC) of the livestock grazing system. The model used the concept of rain use efficiency which relates pasture production to rainfall. A cross sectional study was carried out on 16 selected farms and data on number of animals, sex, age group and size of available grazing land was collected. The similarity between the results of the simulation rainfall runs and field data are considered to be satisfactory. The overall annual forage production is 3905 ± 72kg/ha. The lowest CC (5.65 ± 0.75) occurs in long dry season (June to August) while the highest CC (1.41 ± 0.06 ha/TLU) occurs in short rain season (September to November). Annual carrying capacity ranges between 1.88 and 2.08 ha/TLU with an overall mean of 1.95 ± 0.04 ha/TLU. Sixty three (63%) percent of the surveyed farms have stocking rates that are higher than the CC throughout the year while the rest are overstocked in the dry seasons of the year. The results indicate that CC is dynamic and its variability is more pronounced within the year than between years. In response to seasonal CC, the major point of intervention in regard to reduction of actual stocking rates could be done in May shortly before the start of the long dry season. For Ankole pastoral system to be sustainable, the stocking rate should not go below 1.41 ha/TLU.