Tomáš Hlavsa

Dr. Tomáš Hlavsa

orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
30 June 2019 in Agricultural Economics (zemědělská Ekonomika)
Verified
Journal Article
Open access
PDF file
JŠJindřich Špička
Jindřich Špička
THTomáš Hlavsa
Tomáš Hlavsa
KSKaterina Soukupova
Katerina Soukupova
MSMarie Stolbova
Marie Stolbova
Approaches to estimation the farm-level economic viability and sustainability in agriculture: A literature review | Jindřich Spicka, Tomas Hlavsa, Katerina Soukupova, Marie Stolbova | Agricultural Journals

31 May 2020 in Agricultural Economics (zemědělská Ekonomika)
Verified
Journal Article
Open access
PDF file
THTomáš Hlavsa
Tomáš Hlavsa
JSJindrich Spicka
Jindrich Spicka
MSMarie Stolbova
Marie Stolbova
ZHZuzana Hlouskova
Zuzana Hlouskova
Statistical analysis of economic viability of farms operating in Czech areas facing natural constraints | Tomas Hlavsa, Jindrich Spicka, Marie Stolbova, Zuzana Hlouskova | Agricultural Journals


8 June 2020 in Forests
Verified
Journal Article
Open access
PDF file
ARAlexandr Rollo
Alexandr Rollo
Maria Margarida RibeiroMaria Margarida Ribeiro
Maria Margarida Ribeiro
Rita Lourenco CostaRita Lourenco Costa
Rita Lourenco Costa
Carmen SantosCarmen Santos
Carmen Santos
ZCZOYLA CLAVO
ZOYLA CLAVO
Bohdan LojkaBohdan Lojka
Bohdan Lojka
Research Highlights: This study assesses the genetic diversity and structure of the ice-cream-bean (Inga edulis Mart.; Fabaceae) in wild and cultivated populations from the Peruvian Amazon. This research also highlights the importance of protecting the biodiversity of the forest in the Peruvian Amazon, to preserve the genetic resources of species and allow further genetic improvement. Background and Objectives: Ice-cream-bean is one of the most commonly used species in the Amazon region for its fruits and for shading protection of other species (e.g., cocoa and coffee plantations). Comprehensive studies about the impact of domestication on this species’ genetic diversity are needed, to find the best conservation and improvement strategies. Materials and Methods: In the current study, the genetic structure and diversity were assessed by genotyping 259 trees, sampled in five wild and 22 cultivated I. edulis populations in the Peruvian Amazon, with microsatellite markers. Pod length was measured in wild and cultivated trees. Results: The average pod length in cultivated trees was significantly higher than that in wild trees. The expected genetic diversity and the average number of alleles was higher in the wild compared to the cultivated populations; thus, a loss of genetic diversity was confirmed in the cultivated populations. The cultivated trees in the Loreto region had the highest pod length and lowest allelic richness; nevertheless, the wild populations’ genetic structure was not clearly differentiated (significantly different) from that of the cultivated populations. Conclusions: A loss of genetic diversity was confirmed in the cultivated populations. The species could have been simultaneously domesticated in multiple locations, usually from local origin. The original I. edulis Amazonian germplasm should be maintained. Cultivated populations’ new germplasm influx from wild populations should be undertaken to increase genetic diversity.

31 October 2008 in Agricultural Economics (zemědělská Ekonomika)
Verified
Journal Article
Open access
MŠM. Štolbová
M. Štolbová
THTomáš Hlavsa
Tomáš Hlavsa
» Articles | Agricultural Journals

1 April 2017 in Studies in Agricultural Economics
Verified
Journal Article
Closed access
THTomáš Hlavsa
Tomáš Hlavsa
MHMartin Hruška
Martin Hruška
ETEdita Turková
Edita Turková
European agriculture is highly mechanised and its development is to a large extent shaped by the constant need for investment. By combining private capital with public funds, the risk burden associated with investment can be shared. The general economic objective of investment support is to improve the efficiency of production factors, such as labour, land and capital. The Rural Development Programme of the Czech Republic for 2007-2013 included a preferential criterion, the objective of which was to give an advantage to farms in Less Favoured Areas (LFA) by facilitating their access to funding for investments. This paper evaluates the investment activities of agricultural holdings located in Czech LFAs in the period 2011-2015, compared to those that are not located in LFAs. Binary logistic regression was employed to identify factors, such as LFA type, farm size, share of other revenues, indebtedness of a farm and stocking density of cattle, that infl uenced whether a farm was or was not supported with an investment subsidy. We conclude that supported farms in LFAs have higher levels of economic performance and higher labour productivity than unsubsidised farms. It is evident that many farms, especially in mountain areas, are interested in investment activities and are trying to develop their businesses. They have a lower likelihood of business failure than those farms that do not invest