67 research outputs found
Characteristics, Processes and Classification
Π£ ΠΎΠ²ΠΎΠΌ ΡΠ°Π΄Ρ ΠΏΡΠΈΠΊΠ°Π·Π°Π½ΠΈ ΡΡ ΡΠ΅Π·ΡΠ»ΡΠ°ΡΠΈ ΠΈΡΡΡΠ°ΠΆΠΈΠ²Π°ΡΠ° Π·Π΅ΠΌΡΠΈΡΡΠ° ΠΠ΅Π»ΠΈΠΊΠΎΠ³ ΠΏΠΎΡΠ°. ΠΠ΅Π»ΠΈΠΊΠΎ ΠΠΎΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²ΡΠ° ΠΏΠΎΠ΄Π½ΠΎΠΆΡΠ΅ ΠΏΠ»Π°Π½ΠΈΠ½Π΅ ΠΡΠΊΠ°Π½. ΠΠ° ΠΏΠΎΡΠ΅ΡΡ ΠΠ΅Π»ΠΈΠΊΠΎΠ³ ΠΠΎΡΠ° ΡΠ΅ Π΄Π΅ΡΠ°Π²Π° ΠΈΠ·ΡΠ°Π·ΠΈΡΠ° ΠΏΡΠΎΠΌΠ΅Π½Π° Ρ Π³Π΅ΠΎΠΌΠΎΡΡΠΎΠ»ΠΎΡΠΊΠΈΠΌ ΠΎΡΠΎΠ±ΠΈΠ½Π°ΠΌΠ° ΡΠ΅ΡΠ΅Π½Π° ΡΠ΅Ρ Π΄ΠΎΠ»Π°Π·ΠΈ Π΄ΠΎ ΠΊΠΎΠ½ΡΠ°ΠΊΡΠ° ΠΊΠΎΠ»ΡΠ²ΠΈΡΠ°Π»Π½ΠΎΠ³ ΠΌΠ°ΡΠ΅ΡΠΈΡΠ°Π»Π° ΡΠ° Π²ΠΈΡΠ΅Π³ ΡΠ΅ΡΠ΅Π½Π° ΠΈ ΡΡΠ°ΡΠΈΡ
Π°Π»ΡΠ²ΠΈΡΠ°Π»Π½ΠΈΡ
Π½Π°Π½ΠΎΡΠ° ΡΠ΅ΠΊΠ΅ ΠΠ»Π°Π²Π΅. ΠΠ΅ΠΌΡΠΈΡΡΠ° ΠΠ΅Π»ΠΈΠΊΠΎΠ³ ΠΏΠΎΡΠ° ΡΡ ΠΊΠ°ΡΡΠΈΡΠ°Π½Π° ΠΊΡΠ°ΡΠ΅ΠΌ ΠΏΠ΅Π΄Π΅ΡΠ΅ΡΠΈΡ
Π³ΠΎΠ΄ΠΈΠ½Π° ΠΏΡΠΎΡΠ»ΠΎΠ³ Π²Π΅ΠΊΠ°, Π°Π»ΠΈ Π½ΠΈΡΡ Π΄Π΅ΡΠ°ΡΠ½ΠΎ ΠΈΡΡΡΠ°ΠΆΠΈΠ²Π°Π½Π°. Π¦ΠΈΡ ΠΎΠ²ΠΎΠ³Π° ΡΠ°Π΄Π° ΡΠ΅ Π΄Π° ΡΠ΅ ΠΈΡΠΏΠΈΡΠ° Π·Π΅ΠΌΡΠΈΡΠ½ΠΈ ΠΏΠΎΠΊΡΠΈΠ²Π°Ρ ΠΠ΅Π»ΠΈΠΊΠΎΠ³ ΠΏΠΎΡΠ°, ΡΠ΅ Π΄Π° ΡΠ΅ Π·Π΅ΠΌΡΠΈΡΡΠ΅ ΠΊΠ»Π°ΡΠΈΡΠΈΠΊΡΡΡ Ρ ΠΎΠΊΠ²ΠΈΡΡ Π΄ΠΎΠΌΠ°ΡΠ΅Π³ ΠΈ WRB ΠΊΠ»Π°ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΎΠ½ΠΎΠ³ ΡΠΈΡΡΠ΅ΠΌΠ°, ΠΊΠ°ΠΎ ΠΈ Π΄Π° ΡΠ΅ ΠΈΠ·ΡΠ°Π΄ΠΈ Π±Π°Π·Π° ΠΏΠΎΠ΄Π°ΡΠ°ΠΊΠ° ΠΎ Π·Π΅ΠΌΡΠΈΡΠ½ΠΈΠΌ ΡΠ²ΠΎΡΡΡΠ²ΠΈΠΌΠ° ΡΠ° ΠΏΠ΅Π΄ΠΎΠ»ΠΎΡΠΊΠΎΠΌ ΠΊΠ°ΡΡΠΎΠΌ ΠΏΠΎΠ΄ΡΡΡΡΠ°.
Π£Π·ΠΈΠΌΠ°ΡΡΡΠΈ Ρ ΠΎΠ±Π·ΠΈΡ ΡΡΠΈΡΠ°Ρ ΡΠ΅ΡΠ΅ΡΠ° ΠΊΠ°ΠΎ Π΄ΠΎΠΌΠΈΠ½Π°Π½ΡΠ½ΠΎΠ³ ΠΏΠ΅Π΄ΠΎΠ³Π΅Π½Π΅ΡΡΠΊΠΎΠ³ ΡΠ°ΠΊΡΠΎΡΠ°, ΡΠ΅ΠΎ ΠΏΡΠΎΡΡΠΎΡ ΡΠ΅ ΠΈΡΠΏΠΈΡΠ°Π½ ΠΊΡΠΎΠ· ΠΏΡΠ°Π²ΠΈΠ»Π½Ρ ΠΌΡΠ΅ΠΆΡ ΠΎΠ΄ 42 ΠΏΡΠΎΡΠΈΠ»Π°. ΠΠ° ΡΠ²ΠΈΠΌ ΠΏΡΠΎΡΠΈΠ»ΠΈΠΌΠ° ΡΡ ΠΈΡΠΏΠΈΡΠΈΠ²Π°Π½ΠΈ Π΅Π»Π΅ΠΌΠ΅Π½ΡΠΈ ΡΠΏΠΎΡΠ°ΡΡΠ΅ ΠΈ ΡΠ½ΡΡΡΠ°ΡΡΠ΅ ΠΌΠΎΡΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅, ΡΠ΅ ΠΎΡΠ½ΠΎΠ²Π½Π° ΡΠΈΠ·ΠΈΡΠΊΠ°, Π²ΠΎΠ΄Π½ΠΎ-ΡΠΈΠ·ΠΈΡΠΊΠ°, Ρ
Π΅ΠΌΠΈΡΡΠΊΠ° ΠΈ ΠΌΠΈΠ½Π΅ΡΠ°Π»ΠΎΡΠΊΠ° ΡΠ²ΠΎΡΡΡΠ²Π° Π·Π΅ΠΌΡΠΈΡΡΠ°. ΠΠ΄ ΡΠΈΠ·ΠΈΡΠΊΠΈΡ
ΠΈ Π²ΠΎΠ΄Π½ΠΎ-ΡΠΈΠ·ΠΈΡΠΊΠΈΡ
ΠΊΠ°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ° ΡΡ ΠΈΡΠΏΠΈΡΠ°Π½ΠΈ ΠΌΠ΅Ρ
Π°Π½ΠΈΡΠΊΠΈ ΡΠ°ΡΡΠ°Π², ΡΡΡΡΠΊΡΡΡΠ° Π·Π΅ΠΌΡΠΈΡΡΠ°, Π·Π°ΠΏΡΠ΅ΠΌΠΈΠ½ΡΠΊΠ° ΠΈ ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ½Π° ΠΌΠ°ΡΠ°, ΠΌΠ°ΠΊΡΠΈΠΌΠ°Π»Π½ΠΈ ΠΈ ΠΏΠΎΡΡΠΊΠΈ Π²ΠΎΠ΄Π½ΠΈ ΠΊΠ°ΠΏΠ°ΡΠΈΡΠ΅Ρ, Π²Π»Π°ΠΆΠ½ΠΎΡΡ Π²Π΅Π½ΡΡΠ° ΠΈ Ρ
ΠΈΠ΄ΡΠ°ΡΠ»ΠΈΡΠΊΠ° ΠΏΡΠΎΠ²ΠΎΠ΄ΡΠΈΠ²ΠΎΡΡ. ΠΠ΄ Ρ
Π΅ΠΌΠΈΡΡΠΊΠΈΡ
ΡΠ²ΠΎΡΡΡΠ°Π²Π° ΡΠ΅ ΠΈΡΠΏΠΈΡΠ°Π½ ΡΠ°Π΄ΡΠΆΠ°Ρ Ρ
ΡΠΌΡΡΠ°, CaCO3, ΡΠΊΡΠΏΠ½ΠΎΠ³ Π°Π·ΠΎΡΠ° ΠΈ ΠΏΡΠΈΡΡΡΠΏΠ°ΡΠ½ΠΈΡ
ΠΎΠ±Π»ΠΈΠΊΠ° ΡΠΎΡΡΠΎΡΠ° ΠΈ ΠΊΠ°Π»ΠΈΡΡΠΌΠ°, ΡΠ΅ Π°ΠΊΡΠΈΠ²Π½Π°, ΡΠ°Π·ΠΌΠ΅Π½ΡΠΈΠ²Π° ΠΈ Ρ
ΠΈΠ΄ΡΠΎΠ»ΠΈΡΠΈΡΠΊΠ° ΠΊΠΈΡΠ΅Π»ΠΎΡΡ, ΠΊΠ°ΠΏΠ°ΡΠΈΡΠ΅Ρ Π·Π° Π°Π΄ΡΠΎΠΏΡΠΏΡΠΈΡΡ ΠΊΠ°ΡΡΠΎΠ½Π°, ΠΈ ΡΡΠ΅ΠΏΠ΅Π½ Π·Π°ΡΠΈΡΠ΅Π½ΠΎΡΡΠΈ Π±Π°Π·Π°ΠΌΠ°.
Π Π΅Π·ΡΠ»ΡΠ°ΡΠΈ ΠΈΡΡΡΠ°ΠΆΠΈΠ²Π°ΡΠ° ΡΡ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ Π΄Π° ΡΠ΅ Π·Π΅ΠΌΡΠΈΡΠ½ΠΈ ΠΏΠΎΠΊΡΠΈΠ²Π°Ρ ΠΠ΅Π»ΠΈΠΊΠΎΠ³ ΠΏΠΎΡΠ° Ρ
Π΅ΡΠ΅ΡΠΎΠ³Π΅Π½ ΠΈ ΠΈΠ·Π΄Π²ΠΎΡΠ΅Π½Π΅ ΡΡ ΡΠ»Π΅Π΄Π΅ΡΠ΅ ΡΠΈΡΡΠ΅ΠΌΠ°ΡΡΠΊΠ΅ ΠΊΠ°ΡΠ΅Π³ΠΎΡΠΈΡΠ΅ Π·Π΅ΠΌΡΠΈΡΡΠ°: ΠΊΠ°ΡΠ±ΠΎΠ½Π°ΡΠ½ΠΈ ΡΠ΅ΡΠ½ΠΎΠ·Π΅ΠΌΠΈ, ΠΈΠ·Π»ΡΠΆΠ΅Π½ΠΈ ΡΠ΅ΡΠ½ΠΎΠ·Π΅ΠΌΠΈ, ΠΊΠΎΠ»ΡΠ²ΠΈΡΠ°Π»Π½ΠΎ-Π°Π»ΡΠ²ΠΈΡΠ°Π»Π½ΠΎ Π·Π΅ΠΌΡΠΈΡΡΠ΅, ΠΊΠΎΠ»ΡΠ²ΠΈΡΠ°Π»Π½ΠΈ ΠΊΠ°Π»ΠΊΠΎΠΌΠ΅Π»Π°Π½ΠΎΡΠΎΠ»ΠΈ ΠΈ Π΅ΡΡΡΠΈΡΠ½ΠΈ ΠΊΠ°ΠΌΠ±ΠΈΡΠΎΠ»ΠΈ. ΠΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠΎΠ²Π°Π½ΠΎ ΡΠ΅ ΠΈ ΡΠ΅ΡΡ ΡΠ΅ΡΠ΅ΡΠ΅Π½ΡΠ½ΠΈΡ
Π³ΡΡΠΏΠ° Π·Π΅ΠΌΡΠΈΡΡΠ° ΠΏΡΠ΅ΠΌΠ° WRB ΡΠΈΡΡΠ΅ΠΌΡ ΠΊΠ»Π°ΡΠΈΡΠΈΠΊΠ°ΡΠΈΡΠ΅. Π‘ΡΠ°ΡΠΈΡΡΠΈΡΠΊΠ° Π°Π½Π°Π»ΠΈΠ·Π° ΡΠΊΠ°Π·ΡΡΠ΅ Π½Π°
Π·Π½Π°ΡΠ°ΡΠ½Π΅ ΡΠ°Π·Π»ΠΈΠΊΠ΅ ΠΈΠ·ΠΌΠ΅ΡΡ Π·Π΅ΠΌΡΠΈΡΡΠ° Π½Π°ΡΠ²ΠΈΡΠ΅Π³ ΠΈ Π½Π°ΡΠ½ΠΈΠΆΠ΅Π³ ΡΠ΅ΡΠ΅Π½Π°...This work presents the results of soil investigations at Great field. In this work are presented the results of soil investigationa Great Field presents foot and toe slopes of Mt. Vukan. The area of Great field is a contact zone between two geomorphologic units where colluvial material from mountain and old alluvial deposits meet. Soils of Great Field were mapped in late fifties but without detailed surveying. This study aims to analyze soils in the area of Great Field, to classify them by means of domestic and international system and to create soil geodatabase and soil map of the study area.
Taking into consideration landscape as dominant pedogenic factor within the area, soils are investigated through the regular network of 42 soil profiles. Soil ecto- and endomorphological, physical, hydraulic, chemical and mineralogical characteristics were investigated. Soil physical and soil hydraulic properties analysed include particle size distribution, soil structure, bulk and particle density, maxiumum and field capacity, wilting point and hydraulic conductivity. Chemical properties analyzed include determination of soil organic matter content, CaCO3 content, total nitrogen, available phosphorus and potassium, soil reaction, cation exchange capacity and base saturation.
The results of our work have demonstrated that the soil cover in the Great Field is heterogeneous and following taxonomic units are identified: Colluo-alluvial soil, Colluvic Kalkomelanosol, Calcaric Chernozem, Leached Chernozem and Eutric Cambisol. Six referent soils groups according to WRB were identified. Statistical analysis indicates significant differences between the soils at the highest and lowest elevations. Soil geodatabase created in geographic information system has been approved as a remarkable tool for spatial analysis of soil properties through the creation of thematic maps and soil map of the study area..
The history, activities and future perspectives of the Serbian Soil Science Society
The future capacity of soils to support life on Earth is becoming questionable and in such a situation an important attention is given to soil science and land useβsoil policy. This paper presents the historical overview, conducted activities and roles of the Yugoslav and Serbian Soil Science Society (SSSS) from its begining to recent days, as well as future plans. The material tackles the development of soil science in Serbia: foundation of the Soil Society, international cooperation, publication of the journal ''Soil and Plant'' and other publishing activities, structural organization of the Society, organization of congresses and symposia, and impact of the Society to overall well being by development of various programmes. It also highlights the coordination, consulting, and supporting role of the Society in preparation of the soil map of Yugoslavia. The role of SSSS today is aimed at the general scientific, cultural and educational development and benefit of the Republic of Serbia. The Society has its bodies, eight (nine) commissions, eleven subcommissions and four working groups. In the coming period, the Society will continue its organizational, publishing, educational, and cooperation activities, but also strive to include soils and soil science among national priorities. The permanent legacy of the Society is the inclusion of soil at the core of policies that support environmental protection and sustainable development in line with new challenges
Environmental trends in Montenegro: Land degradation neutrality
Land degradation neutrality (LDN) is an integral part of the 2030 UN Agenda for Sustainable
Development. Montenegro actively works on LDN target setting process. This paper aims to
present: (a) the basic principles of LDN concept, (b) global datasets provided by UNCCD, (c) SWOT analysis for the country, and (d) to discuss possible national datasets and further activities related to LDN. LDN Target indicator is measured by means of three sub-indicators: land cover, land productivity and soil organic carbon (SOC), and it could be broaden with national indicators. Country has been provided by UNCCCD with global dataset on three sub-indicators, as well as with watershed boundaries, but is encouraged to utilize their own datasets. ESA land cover data indicate the conversion of 2460 ha of forests into to croplands or shrubs. Land productivity dynamics data indicated that 74300 ha of territory have sort of negative trends in land productivity. SOC at the country level indicates average content of 125.1 t/ha. Ten potential hotspots in the country had reduction of land productivity dynamics caused by wildfires, whereas five hotspots had multiple drivers of land degradation among which fires, agricultural abandonment and urbanization are the most important. Although there is a certain inaccuracy in global datasets, the country decision is to utilize them in defining LDN baseline. The national working group defined four specific voluntary targets: (1) Avoiding, minimizing land degradation, and redirecting land use changes, (2) Increase of land productivity - reduction of soil degradation, (3), Protection of
natural ecosystems from wildfires, and (4) Improvement of soil monitoring system. Accordingly, 25
associated measures are defined to achieve LDN up to 2030. They are related to enhancement of
LDN baseline in Montenegro, environmental legislations, direct measures to prevent, minimize land degradation and restore degraded land, sustainable agriculture and forestry, land use changes and social
PEDOβEXCEL: A Simple Excel Tool/Database to Prepare and Elaborate Soil Profile Data
Soil investigations in pedology are often made of four different stages: a) preliminary stage, b) on-field soil research, c) laboratory (analytical) research and d) data elaboration. Depending on the aim of soil investigations each of these stages can last for a different amount of time. On-field soil research is the central part of soil surveys. It consists of soil profile excavation, description of soil profiles and collection of soil samples. Experienced soil scientists can vast a lot of time in description of soil ectomorphological and endomorphological properties, whereas un-experienced soil scientists move often fastly over this stage to soil sampling. The description of soil profile is of the essential importance in soil surveys and a huge number of soil information can be collected while describing soil profiles. Soil description is often done manually by filling soil forms, but it is somewhere digitized. It is also a timeβconsuming job how to prepare those data for the further elaborations, often how to make them digitized. Another important issue in front of the researcher is how to present a large number of soil characteristics and to elaborated data in fast and efficient manner. Therefore, this necessity of being most efficient in soil data elaboration has forced us to prepare a simple Πxcel based tool to fastly retype and elaborate soil profile data. PedoβExcel is based on FAO Guideline for soil description. General information, soil formation factors, and soil description headings with the different number of soil characteristics are offered to the users in drop down menues, which are specific for each soil characteristics. The user simply inserts collected data by choosing them from the menues. By this manner, the users can fill the columns for all soil horizons/layers and re-type the data for whole soil profile(s). Soil characteristics are provided with their full names and used abbreviations. Data elaboration in PedoβExcel starts with the simple choice which of the soil characteristics should be presented in our work, by simple choosing of ββ1ββ (yes) or ββ0ββ (no) into the column next to the characteristic. The result of this choice is an Excel table with chosen soil characteristics. Each soil sheet presents one soil profile with up to ten soil horizons/layers. Almost all soil characteristics presented in FAO Guideline are part of the PedoβExcel. PedoβExcel is a simple, user friendly, and time efficient tool for elaboration of huge series of soil profile data collected during soil surveys
CONCENTRATIONS OF NATURAL RADIONUCLIDES IN SOILS OF EASTERN HERZEGOVINA
INTRODUCTION and OBJECTIVES: Soil is one of the most important natural resources. Measurement of natural radioactivity in soil is very important to determine the amount of change of the natural background activity with time as a result of any radioactivity release. Gacko field is a karst field and is virtually the only oasis of arable land in the region studied. Nevertheless, nothing significant has been done in this area over the past decade to protect land resources from damage and permanent destruction. Coal mine and thermal power plant in Gacko field is a very important industrial facility.
MATERIAL and METHOD: The content of radionuclides of the soil was examined at Gacko area, slag, ash and mullock dumps in the thermal power plant Gacko and soils of dumps in the process of recultivation.
Soil samples were collected in 2010/2019 at more locations in eastern part of the Republic of Srpska. After removing the stones and vegetation, all soil samples for Gamma Spectrometric measurements dried up to 105 0C, sieved, placed in the plastic 500 mL Marinelli beakers and left for four weeks to reach radioactive equilibrium.
RESULTS and CONCLUSIONS: The results of gamma emitters spectrometry indicate that the concentrations of natural radionuclides are of the same order of magnitude, as in power plants in other countries. The results point to the necessity of regular monitoring of radioactivity in eastern Herzegovina in order to assess the impact of the technologically increased natural radioactivity.At the same time, the obtained results represent the initial basedata based on which could be predicted level radioactivity since
such studies have so far not been carried out in the Republic of Srpska
Current conditions and future perspectives of grasslands in Serbia
Natural grasslands and pastures occupy 5.96% of the country territory. According to European Space Agency, changes in land cover from 2000β2015 indicate decrease in total grassland area of 1765 km2 (30.03%), emphasizing dominant conversion of grasslands to forests. Ongoing depopulation trend, rural to urban migrations, and decrease in livestock population are some of main factors impacting grasslands. This trend favors further naturalization of pastures striving to increase the areas under natural grasslands. Such conversion will contribute to overall change in biodiversity richness, especially in areas with saline soils and high mountain regions with increased level of endemic species. Grasslands play important role in overall sustainability, but their importance it is not properly addressed. Environmental experts should recognize drivers of grasslands degradation and propose appropriate conservation and restoration measures. The priority should be avoidance of grassland degradation that requires good assessment of their current conditions and monitoring of plant, soil, climate conditions and land use activities. Further measures are deduced to sustainable land management practices and smooth human interventions, whereas the aftermost adopted measures should be related to restoration. Grasslands should have more emphasized role in our society and LDN principles should be applied for their preservation
Classification of Rendzina soils in Serbia according to the WRB system
According to soil classification system used in Serbia (Ε koriΔ, ΔiriΔ and Filipovski, 1985) Rendzina is a soil type within the order of automorphic soils and the class of humus-accumulative soils with an Amo-AmoC-C-R profile, which is developed on parent rock containing more than 20% of calcareous material. Rendzinas are divided onto subtypes - according to the parent material: (i) marl, marly limestone and soft limestone, (ii) loess and loess like sediments, (iii) dolomite sand, (iv) moraine; on varieties - according to stadium of evolution: (i) calcareous, (ii) decarbonated, (iii) brunified, (iv) colluvial, and forms - according to texture and coarse fragments content. Throughout the world, the term Rendzina (and Pararendzina) is used to denote soils formed on different calcareous parent material and it generally corresponds with Rendzic Leptosol of the WRB soil classification system. Rendzinas on marl, marly limestone and soft limestone is the most widespread subtype in Serbia, and the aim of this study was to precisely classify it according to the WRB 2015 system. Total of 29 Rendzina soil profiles from different parts of Serbia were studied. Field and laboratory investigations (soil depth, colour, coarse fragments, texture, structure, pH, soil organic carbon, base saturation) were determined using methods recommended by the WRB system (except for base saturation, where BaCl2, pH 8.1, was used instead of NH4OAc, pH 7).
According to soil classification system used in Serbia, from total of 21 soil profiles on soft limestone, 16 were calcareous variety (form: 8 loamy, low or medium skeletal and 1 clay, medium skeletal); 13 decarbonated variety (loamy, low skeletal); and 2 colluvial variety (loamy, low skeletal); and 8 profiles on marl of which 7 were calcareous variety (loamy, low or medium skeletal), and 1 profile was decarbonated variety (loamy, low skeletal). According to WRB 2015 system, investigated Rendzinas were classificated to RSG of Leptosols (12 profiles), Regosols (10 profiles) and Phaeozems (7 profiles). Leptosols include Rendzinas with A-R soil profile, where continuous rock (10 profiles on soft limestone and 2 profiles on marl) starting β€15-25 cm from the soil surface. For calcareous Rendzina variety, combinations of the principal qualifiers were: Rendzic, Rendzic Calcaric, and Skeletic Calcaric. The decarbonated variety matched the
diagnostic criteria for the Eutric principal qualifier. The supplementary qualifiers for Leptosols were
Loamic or Clayic, Aric and Humic. Renzinas deeper than 25 cm, usually with A-AC-R soil profile, having a mollic diagnostic horizon were classified to RSG of Phaeozems. For calcareous Rendzinas variety, combinations of the principal qualifiers were: Rendzic Calcaric or Rendzic Skeletic Calcaric. The decarbonated Rendzinas variety only matched criteria for the Leptic principal qualifier. Loamic and Aric supplementary qualifiers were added to Phaeozems.
RSG of Regosols includes Rendzinas thicker than 25 cm, usually with A-AC-R soil profile, when
surface horizon does not match diagnostic criteria of a mollic horizon (in slightly crushed samples a
Munsell colour value of β₯3 moist, and β€ 5 dry, and a chroma of β₯4 moist). Surface horizons were more than 20 cm deep (except for 2 profiles) and had over 0.6% (1.1-4.6%) soil organic carbon. For calcareous Rendzinas variety combinations of the principal qualifiers were: Leptic Calcaric or Leptic Skeletic Calcaric. For Colluvial Rendzinas variety (all calcareous) combination of the principal qualifiers was: Leptic Colluvic Calcaric. Loamic and Aric and/or Humic supplementary qualifiers were used for Regosols. Soil depth caused the first differentiation between Leptosols and Phaeozems, and soil (moist) colour caused the second differentiation between Phaeozems and Regosols. Somewhat brighter soil colour of Rendzina/Regosols is a result of low soil organic matter content and/or high content of calcaric material in the fine earth
Water productivity indices of the soybean grown on silty clay soil under sprinkler irrigation
The objective of this research was to compare the effects of different irrigation treatments on soybean [Glycine max (L.) Merr.] productivity and water use efficiency on experimental fields of the Maize Research Institute of Zemun Polje(Serbia), in 2007 and 2008. Four irrigation levels were investigated: full irrigation (I100), 65% and 40% of I100 (I65 and I40) and a rain-fed (I0) system. The crop water use efficiency (CWUE, also known as crop water productivity βCWP), irrigation water use efficiency (IWUE) and evapotranspiration water use efficiency (ETWUE) were used to assess the water productivity of each studied treatment. The efficiency of the same treatment differed between the years as it depended on seasonal water availability, weather conditions and their impact on seed yields. Maximum and minimum yields were obtained in the I65 and I0 treatments, averaging 3.41 t haβ1 and 2.26 t haβ1, respectively. Water use efficiency values were influenced by the irrigation levels. In general, CWUE values increased with the increased level of irrigation. In both growing seasons, IWUE and ETWUE decreased with increasing the seasonal water consumption and irrigation depth. On average, treatments I40 and I65 resulted in similar or higher CWUE and ETWUE than I100, in both growing seasons. I65 resulted in the highest IWUE, averaged over the two seasons, while I100 had the lowest IWUE. I65 could be proper for the soybean irrigated in Vojvodina when there is no water shortage and I45 could be used as a good basis for reduced sprinkler irrigation strategy development under water shortage
Uticaj promene koriΕ‘Δenja zemljiΕ‘ta na hidroloΕ‘ka i hidrauliΔka svojstva livadske crnice: od neporemeΔene Ε‘ume do paΕ‘njaka
Π£ΠΠΠ ΠΈ Π¦ΠΠΠΠΠ: Π₯ΠΈΠ΄ΡΠ°ΡΠ»ΠΈΡΠΊΠ° ΡΠ²ΠΎΡΡΡΠ²Π° Π·Π΅ΠΌΡΠΈΡΡΠ° (Π₯Π‘Π) ΠΊΠΎΠ½ΡΡΠΎΠ»ΠΈΡΡ ΠΊΡΠ΅ΡΠ°ΡΠ΅ ΠΈ ΡΠΊΠ»Π°Π΄ΠΈΡΡΠ΅ΡΠ΅ Π²ΠΎΠ΄Π΅ ΠΈ Ρ
ΡΠ°Π½ΡΠΈΠ²ΠΈΡ
ΠΌΠ°ΡΠ΅ΡΠΈΡΠ° Ρ Π·Π΅ΠΌΡΠΈΡΡΡ ΠΈ Π½Π° ΡΠ°Ρ Π½Π°ΡΠΈΠ½ ΡΡΠΈΡΡ Π½Π° ΡΠΈΡΠΎΠΊ ΡΠΏΠ΅ΠΊΡΠ°Ρ Π±ΠΈΠΎΠ³Π΅ΠΎΡ
Π΅ΠΌΠΈΡΡΠΊΠΈΡ
ΠΏΡΠΎΡΠ΅ΡΠ° ΠΈ ΡΡΠ»ΡΠ³Π° Π΅ΠΊΠΎΡΠΈΡΡΠ΅ΠΌΠ°. ΠΠ° ΠΏΠΎΡΡΠ΅Π±Π΅ Ρ
ΠΈΠ΄ΡΠΎΠ»ΠΎΡΠΊΠΎΠ³ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠ°ΡΠ°, ΡΠ³Π»Π°Π²Π½ΠΎΠΌ ΡΠ΅ ΠΊΠ°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡ ΠΊΠ°ΠΎ ΠΊΠΎΠ½ΡΡΠ°Π½ΡΠ½Π΅ Π²ΡΠ΅Π΄Π½ΠΎΡΡΠΈ, Π½Π° ΠΏΡΠΈΠΌΠ΅Ρ, Π·Π°ΡΠΈΡΠ΅Π½Π° Ρ
ΠΈΠ΄ΡΠ°ΡΠ»ΠΈΡΠ° ΠΏΡΠΎΠ²ΠΎΠ΄ΡΠΈΠ²ΠΎΡΡ (ΠΡΠ°Ρ), ΠΊΠ°ΠΏΠ°ΡΠΈΡΠ΅Ρ ΠΈΠ½ΡΠΈΠ»ΡΡΠ°ΡΠΈΡΠ΅ ΠΈΠ»ΠΈ ΠΏΠΎΡΡΠΊΠΈ Π²ΠΎΠ΄Π½ΠΈ ΠΊΠ°ΠΏΠ°ΡΠΈΡΠ΅Ρ (ΠΠΠ). ΠΠΏΠ°ΠΊ, Π΄ΠΎΠ±ΡΠΎ ΡΠ΅ ΠΏΠΎΠ·Π½Π°ΡΠΎ Π΄Π° ΡΡ ΠΌΠ½ΠΎΠ³Π° ΡΠΈΠ·ΠΈΡΠΊΠ° ΠΈ Ρ
Π΅ΠΌΠΈΡΡΠΊΠ° ΡΠ²ΠΎΡΡΡΠ²Π° Π·Π΅ΠΌΡΠΈΡΡΠ° ΠΏΡΠΎΠΌΠ΅Π½ΡΠΈΠ²Π° Ρ ΠΏΡΠΎΡΡΠΎΡΡ ΠΈ Π²ΡΠ΅ΠΌΠ΅Π½Ρ. ΠΠΎΠ³ΡΡΠΈ ΡΠ°Π·Π»ΠΎΠ·ΠΈ Π·Π° ΡΠΎ ΡΡ Π±ΠΈΠΎΠ»ΠΎΡΠΊΠ° Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡ Π·Π΅ΠΌΡΠΈΡΡΠ°, ΠΏΡΠΎΡΠ΅ΡΠΈ ΠΏΠΎΠ²Π΅Π·Π°Π½ΠΈ ΡΠ° ΠΌΡΠ°Π·ΠΎΠΌ, ΡΡΠΈΡΠ°Ρ Π²Π΅ΡΡΠ° ΠΏΡΠ΅ΠΊΠΎ ΠΊΠΎΡΠ΅Π½Π° Π±ΠΈΡΠ°ΠΊΠ°, ΠΎΠ±ΡΠ°Π΄Π° Π·Π΅ΠΌΡΠΈΡΡΠ°, ΠΈΡΠΏΠ°ΡΠ° ΠΈ Π΄ΡΡΠ³ΠΎ. Π‘ΡΠΎΠ³Π° ΡΠ΅ ΠΌΠΎΠΆΠ΅ ΠΎΡΠ΅ΠΊΠΈΠ²Π°ΡΠΈ Π΄Π° Π₯Π‘Π ΠΈ Ρ
ΠΈΠ΄ΡΠΎΠ»ΠΎΡΠΊΠ° ΡΠ²ΠΎΡΡΡΠ²Π° Π·Π΅ΠΌΡΠΈΡΡΠ° ΡΠ°ΠΊΠΎΡΠ΅ Π²Π°ΡΠΈΡΠ°ΡΡ ΠΏΠΎΡΡΠ΅ΠΏΠ΅Π½ΠΎ. ΠΠ²Π°Ρ ΡΠ°Π΄ Π°Π½Π°Π»ΠΈΠ·ΠΈΡΠ° Π²Π°ΡΠΈΡΠ°Π±ΠΈΠ»Π½ΠΎΡΡ Π₯Π‘Π ΠΈ Ρ
ΠΈΠ΄ΡΠΎΠ»ΠΎΡΠΊΠΈΡ
ΡΠ²ΠΎΡΡΡΠ°Π²Π° Ρ ΠΏΠΎΠ²ΡΡΠΈΠ½ΡΠΊΠΎΠΌ ΡΠ»ΠΎΡΡ (0β15 ΡΠΌ) Π±Π΅ΡΠΊΠ°ΡΠ±ΠΎΠ½Π°ΡΠ½Π΅, ΠΏΡΠ°ΡΠΊΠ°ΡΡΠΎ-Π³Π»ΠΈΠ½Π°ΡΡΠ΅ Π»ΠΈΠ²Π°Π΄ΡΠΊΠ΅ ΡΡΠ½ΠΈΡΠ΅ (Fluvisol) Ρ Π΄ΠΎΠ»ΠΈΠ½ΠΈ ΠΠΎΠ»ΡΠ±Π°ΡΠ΅ ΠΈΠ·Π°Π·Π²Π°Π½Ρ Π²ΠΈΡΠ΅Π³ΠΎΠ΄ΠΈΡΡΠΈΠΌ (> 100 Π³ΠΎΠ΄ΠΈΠ½Π°) ΡΠ°Π·Π»ΠΈΡΠΈΡΠΈΠΌ ΠΊΠΎΡΠΈΡΡΠ΅ΡΠ΅ΠΌ Π·Π΅ΠΌΡΠΈΡΡΠ°.
ΠΠΠ’ΠΠ ΠΠΠΠ ΠΈ ΠΠΠ’ΠΠ: ΠΠ° Π±Π»ΠΈΡΠΊΠΎΠΌ ΠΌΠ΅ΡΡΡΠΎΠ±Π½ΠΎΠΌ ΡΠ°ΡΡΠΎΡΠ°ΡΡ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠΎΠ²Π°Π½Π΅ ΡΡ Π΄Π²Π΅ ΡΠ°Π·Π»ΠΈΡΠΈΡΠ΅ Π½Π°ΠΌΠ΅Π½Π΅ Π·Π΅ΠΌΡΠΈΡΡΠ° (ΠΌΠ΅ΡΠΎΠ²ΠΈΡΠ° ΡΠΈΡΠΎΠΊΠΎΠ»ΠΈΡΠ½Π° Π»ΠΈΡΡΠΎΠΏΠ°Π΄Π½Π° ΡΡΠΌΠ° ΠΈ ΠΏΠ°ΡΡΠ°ΠΊ). ΠΠ°ΡΡΠ°ΠΊ ΡΠ΅ ΠΊΠΎΡΠ΅Π½ ΡΠ³Π»Π°Π²Π½ΠΎΠΌ ΡΠ°ΠΌΠΎ ΡΠ΅Π΄Π½ΠΎΠΌ Ρ ΠΊΠ°ΡΠ½ΠΎ ΠΏΡΠΎΠ»Π΅ΡΠ΅, Π° ΠΊΠ°ΡΠ½ΠΈΡΠ΅ ΡΡ ΡΠ°ΠΌΠΎ ΠΏΠΎΠ²ΡΠ΅ΠΌΠ΅Π½ΠΎ Π½Π°ΠΏΠ°ΡΠ°Π½Π΅ ΠΊΡΠ°Π²Π΅ (2β3 ΠΊΡΠ°Π²Π΅ Ρ
Π°β1) ΠΈ ΠΎΠ²ΡΠ΅ (8β10 ΠΎΠ²Π°ΡΠ° Ρ
Π°β1). Π£Π½ΡΡΠ°Ρ ΡΠ²Π°ΠΊΠΎΠ³ Π½Π°ΡΠΈΠ½Π° ΠΊΠΎΡΠΈΡΡΠ΅ΡΠ° Π·Π΅ΠΌΡΠΈΡΡΠ° ΠΈΠ·Π°Π±ΡΠ°Π½Π΅ ΡΡ ΡΡΠΈ Π»ΠΎΠΊΠ°ΡΠΈΡΠ΅ Π½Π° ΠΊΠΎΡΠΈΠΌΠ° ΡΠ΅ ΡΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ ΠΈΡΡΠΈ ΠΏΡΠΎΠ³ΡΠ°ΠΌ ΠΌΠ΅ΡΠ΅ΡΠ° Π³ΡΡΡΠΈΠ½Π΅ ΡΡΠ²ΠΎΠ³ Π·Π΅ΠΌΡΠΈΡΡΠ° (Οb), ΠΡΠ°Ρ, ΠΊΠ°ΠΏΠ°ΡΠΈΡΠ΅ΡΠ° ΠΈΠ½ΡΠΈΠ»ΡΡΠ°ΡΠΈΡΠ΅, ΠΠΠ ΠΈ ΡΠ΅ΡΠ΅Π½ΡΠΈΠΎΠ½Π΅ ΠΊΡΠΈΠ²Π΅ ΡΡΠ°Π½Π΄Π°ΡΠ΄Π½ΠΈΠΌ ΠΌΠ΅ΡΡΠ½Π°ΡΠΎΠ΄Π½ΠΎ ΠΏΡΠΈΠ·Π½Π°ΡΠΈΠΌ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠ°. ΠΠΎΡΠΈΡΡΠ΅ΡΠΈ ΠΎΠ²Π°Ρ ΠΏΠ»Π°Π½ ΠΈΡΡΡΠ°ΠΆΠΈΠ²Π°ΡΠ°, ΠΏΡΠ΅ΡΠΏΠΎΡΡΠ°Π²ΠΈΠ»ΠΈ ΡΠΌΠΎ Π΄Π° ΡΠ΅ ΠΌΠΎΠ³Ρ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠΎΠ²Π°ΡΠΈ ΡΠΈΡΡΠ΅ΠΌΠ°ΡΡΠΊΠ΅ ΡΠ°Π·Π»ΠΈΠΊΠ΅ Ρ Π₯Π‘Π ΠΈ Ρ
ΠΈΠ΄ΡΠΎΠ»ΠΎΡΠΊΠΈΠΌ ΡΠ²ΠΎΡΡΡΠ²ΠΈΠΌΠ° Π·Π΅ΠΌΡΠΈΡΡΠ° Ρ ΠΏΠΎΠ³Π»Π΅Π΄Ρ ΠΊΠΎΡΠΈΡΡΠ΅ΡΠ° Π·Π΅ΠΌΡΠΈΡΡΠ°.
Π ΠΠΠ£ΠΠ’ΠΠ’Π ΠΈ ΠΠΠΠΠ£Π§Π¦Π: Π Π΅Π·ΡΠ»ΡΠ°ΡΠΈ ΠΏΠΎΠΊΠ°Π·ΡΡΡ Π΄Π° ΠΊΠΎΡΠΈΡΡΠ΅ΡΠ΅ Π·Π΅ΠΌΡΠΈΡΡΠ° ΠΈΠΌΠ° Π·Π½Π°ΡΠ°ΡΠ°Π½ ΡΡΠΈΡΠ°Ρ Π½Π° ΠΈΡΠΏΠΈΡΠΈΠ²Π°Π½Π° ΡΠ²ΠΎΡΡΡΠ°Π²Π° Π·Π΅ΠΌΡΠΈΡΡΠ°. ΠΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠΎΠ²Π°Π½Π΅ ΡΠ°Π·Π»ΠΈΠΊΠ΅ ΡΡ ΡΡΠ°ΡΠΈΡΡΠΈΡΠΊΠΈ Π·Π½Π°ΡΠ°ΡΠ½Π΅ ΡΠ° Π²Π΅ΡΠΎΠ²Π°ΡΠ½ΠΎΡΠΎΠΌ ΠΎΠ΄ 5%. Π£ΠΎΡΠ΅Π½ΠΎ ΡΠ΅ ΠΏΠΎΠ²Π΅ΡΠ°ΡΠ΅ Οb ΠΎΠ΄ ΡΡΠΌΠ΅ (0,99 Π³ ΡΠΌβ3) Π΄ΠΎ ΠΏΠ°ΡΡΠ°ΠΊΠ° (1,49 Π³ ΡΠΌβ3) Ρ ΠΏΠΎΠ²ΡΡΠΈΠ½ΡΠΊΠΎΠΌ ΡΠ»ΠΎΡΡ ΠΈΡΡΡΠ°ΠΆΠΈΠ²Π°Π½ΠΎΠ³ Π·Π΅ΠΌΡΠΈΡΡΠ°, ΡΡΠΎ ΡΠ΅ Ρ ΡΠΊΠ»Π°Π΄Ρ ΡΠ° Π½Π°Π»Π°Π·ΠΈΠΌΠ° ΠΈΠ· Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΠ΅. ΠΠ°ΠΎ ΡΡΠΎ ΡΠ΅ ΠΈ ΠΎΡΠ΅ΠΊΠΈΠ²Π°Π»ΠΎ, ΠΡΠ°Ρ ΡΠ΅ Π²Π΅ΡΠ° Ρ ΡΡΠΌΠΈ (>100 ΠΌ Π΄Π°Π½β1) Ρ ΠΏ ΠΎΡΠ΅ΡΠ΅ΡΡ Ρ Π° ΠΏ Π°ΡΡΠ°ΠΊΠΎΠΌ ( 0,30 ΠΌ Π΄ Π°Π½β1). ΠΠ°ΠΏΠ°ΡΠΈΡΠ΅Ρ ΠΈΠ½ΡΠΈΠ»ΡΡΠ°ΡΠΈΡΠ΅ Π·Π° ΡΡΠΌΡΠΊΠΎ Π·Π΅ΠΌΡΠΈΡΡΠ΅ ΡΠ΅ Π·Π½Π°ΡΠ½ΠΎ Π²Π΅ΡΠΈ Π½Π΅Π³ΠΎ Π·Π° ΠΏΠ°ΡΡΠ°ΠΊ, Π·Π° ΡΡΠ° ΡΠ΅ ΠΌΠΎΠΆΠ΅ ΠΏΡΠ΅ΡΠΏΠΎΡΡΠ°Π²ΠΈΡΠΈ Π΄Π° ΡΠ΅ ΠΏΠΎΡΠ»Π΅Π΄ΠΈΡΠ° Π²Π΅ΡΠ΅ Π²ΡΠ΅Π΄Π½ΠΎΡΡΠΈ ΠΡΠ°Ρ ΠΏΠΎΠ²ΡΡΠΈΠ½ΡΠΊΠΎΠ³ ΡΠ»ΠΎΡΠ° Π·Π΅ΠΌΡΠΈΡΡΠ°. Π¨ΡΠΎ ΡΠ΅ Π·Π΅ΠΌΡΠΈΡΡΠ΅ ΠΈΠ½ΡΠ΅Π½Π·ΠΈΠ²Π½ΠΈΡΠ΅ ΠΊΠΎΡΠΈΡΡΠΈ (ΠΏΠ°ΡΡΠ°ΠΊ > ΡΡΠΌΠ°), ΠΌΠ°ΡΠ΅ Π²ΠΎΠ΄Π΅ ΡΠ΅ ΡΠΊΠ»Π°Π΄ΠΈΡΡΠΈ Ρ Π·Π΅ΠΌΡΠΈΡΡΡ Π½Π° ΠΎΠ΄ΡΠ΅ΡΠ΅Π½ΠΎΠΌ ΠΏΡΠΈΡΠΈΡΠΊΡ. Π¨ΡΠΌΡΠΊΠΎ Π·Π΅ΠΌΡΠΈΡΡΠ΅ ΡΠ΅ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΎ Π·Π½Π°ΡΠ½ΠΎ Π²Π΅ΡΠΈ ΠΏΡΠΎΡΠ΅ΡΠ½ΠΈ ΡΠ°Π΄ΡΠΆΠ°Ρ Π²ΠΎΠ΄Π΅ (46% Π·Π°ΠΏΡΠ΅ΠΌΠΈΠ½ΡΠΊΠ°) Π½Π΅Π³ΠΎ ΠΏΠ°ΡΡΠ°ΡΠΊΠΎ (38%) Π·Π΅ΠΌΡΠΈΡΡΠ΅ Π½Π° pF 2,5, ΠΊΠΎΡΠΈ ΡΠ΅ ΠΊΠΎΡΠΈΡΡΠ΅Π½ ΠΊΠ°ΠΎ Π·Π°ΠΌΠ΅Π½Π° Π·Π° ΠΏΠΎΡΡΠΊΠΈ Π²ΠΎΠ΄Π½ΠΈ ΠΊΠ°ΠΏΠ°ΡΠΈΡΠ΅Ρ. ΠΡΡΠ° ΡΡΡΡΠΊΡΡΡΠ° ΡΠ΅Π·ΡΠ»ΡΠ°ΡΠ° ΡΠ΅
ΠΏΡΠΎΠ½Π°ΡΠ΅Π½Π° ΠΈ Π·Π° Π΄ΡΡΠ³Π΅ pF Π²ΡΠ΅Π΄Π½ΠΎΡΡΠΈ. ΠΡΡΠ΄Π° ΡΠ΅ ΠΌΠΎΠΆΠ΅ ΠΏΡΠ΅ΡΠΏΠΎΡΡΠ°Π²ΠΈΡΠΈ Π΄Π° ΠΏΠΎΠΌΠ΅ΡΠ°ΡΠ΅ ΠΊΡΠΈΠ²Π΅ Π·Π°Π΄ΡΠΆΠ°Π²Π°ΡΠ° Π²ΠΎΠ΄Π΅ ΡΠ·ΡΠΎΠΊΡΡΠ΅ ΡΠΌΠ°ΡΠ΅ΡΠ΅ ΠΏΡΠΈΡΡΡΠΏΠ°ΡΠ½Π΅ Π²ΠΎΠ΄Π΅ Π·Π° Π±ΠΈΡΠΊΠ΅. ΠΠ°ΠΊΡΡΡΠ½ΠΎ, ΠΎΠ²ΠΎ ΠΈΡΡΡΠ°ΠΆΠΈΠ²Π°ΡΠ΅ ΡΠΊΠ°Π·ΡΡΠ΅ Π΄Π° ΠΊΠΎΡΠΈΡΡΠ΅ΡΠ΅ Π·Π΅ΠΌΡΠΈΡΡΠ° ΠΈΠΌΠ° Π²Π°ΠΆΠ°Π½ ΡΡΠΈΡΠ°Ρ Π½Π° Ρ
ΠΈΠ΄ΡΠ°ΡΠ»ΠΈΡΠΊΠ° ΠΈ Ρ
ΠΈΠ΄ΡΠΎΠ»ΠΎΡΠΊΠ° ΡΠ²ΠΎΡΡΡΠ²Π° Π·Π΅ΠΌΡΠΈΡΡΠ°. ΠΠ½ΡΠ΅Π½Π·ΠΈΠ²Π½ΠΈΡΠ° ΠΏΠΎΡΠΎΠΏΡΠΈΠ²ΡΠ΅Π΄Π½Π° ΡΠΏΠΎΡΡΠ΅Π±Π°, ΠΊΠ°ΠΎ ΡΡΠΎ ΡΠ΅ ΠΏΠ°ΡΡΠ°ΠΊ Ρ ΠΎΠ²ΠΎΡ ΡΡΡΠ΄ΠΈΡΠΈ, ΠΏΠΎΠ²Π΅ΡΠ°Π²Π° Οb ΠΈ ΡΠΌΠ°ΡΡΡΠ΅ ΠΡΠ°Ρ ΠΈ ΡΠ°Π΄ΡΠΆΠ°Ρ Π²ΠΎΠ΄Π΅ ΠΊΠΎΡΠ° ΡΠ΅ ΠΏΡΠΈΡΡΡΠΏΠ°ΡΠ½Π° Π±ΠΈΡΠΊΠ°ΠΌΠ° (ΡΠΌΠ°ΡΠ΅Π½ ΠΠΠ). ΠΠ²ΠΎ ΡΠ΅ ΡΠ³Π»Π°Π²Π½ΠΎΠΌ Π·Π±ΠΎΠ³ ΡΠ°Π±ΠΈΡΠ°ΡΠ° Π·Π΅ΠΌΡΠΈΡΡΠ° ΠΏΡΠΈ ΠΏΡΠ΅ΠΊΠΎΠΌΠ΅ΡΠ½ΠΎΡ ΠΈΡΠΏΠ°ΡΠΈ ΠΊΠΎΡΠ° Π΄ΠΎΠ²ΠΎΠ΄ΠΈ Π΄ΠΎ Π³ΡΠ±ΠΈΡΠΊΠ° ΠΌΠ°ΠΊΡΠΎΠΏΠΎΡΠ°. ΠΠ°ΠΏΠ°ΠΆΠ°ΡΠ° Π΄Π°ΡΠ° Ρ ΠΎΠ²ΠΎΠΌ ΠΈΡΡΡΠ°ΠΆΠΈΠ²Π°ΡΡ ΠΈΠΌΠ°ΡΡ Π²Π°ΠΆΠ°Π½ ΡΡΠΈΡΠ°Ρ Π½Π° ΡΠ°Π·ΡΠΌΠ΅Π²Π°ΡΠ΅ Ρ
ΠΈΠ΄ΡΠΎΠ»ΠΎΡΠΊΠΈΡ
ΠΏΡΠΎΡΠ΅ΡΠ° ΠΈ Π½Π° ΡΠ°Π·ΡΠ°Π΄Ρ Ρ
ΠΈΠ΄ΡΠΎΠ»ΠΎΡΠΊΠΈΡ
ΠΌΠΎΠ΄Π΅Π»Π°. ΠΠ½ΠΈ ΡΠ΅ΡΡΠΎ ΡΠ·ΠΈΠΌΠ°ΡΡ Ρ ΠΎΠ±Π·ΠΈΡ ΠΌΠ°Π»Ρ ΠΏΡΠΎΡΡΠΎΡΠ½Ρ Π²Π°ΡΠΈΡΠ°Π±ΠΈΠ»Π½ΠΎΡΡ ΡΠ²ΠΎΡΡΡΠ°Π²Π° Π·Π΅ΠΌΡΠΈΡΡΠ°, Π°Π»ΠΈ ΡΠΈΡ
ΠΎΠ²Π° ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈΠ·Π°ΡΠΈΡΠ° Π½Π΅ Π·Π°Π²ΠΈΡΠΈ ΠΎΠ΄ ΠΊΠΎΡΠΈΡΡΠ΅ΡΠ° Π·Π΅ΠΌΡΠΈΡΡΠ°. ΠΠ²ΠΎ ΠΈΡΡΡΠ°ΠΆΠΈΠ²Π°ΡΠ΅ ΡΠ΅ ΠΏΠΎΠΊΠ°Π·Π°Π»Π° Π΄Π° ΠΎΠ²Π° ΠΏΡΠ΅ΡΠΏΠΎΡΡΠ°Π²ΠΊΠ° Π½Π΅ Π²Π°ΠΆΠΈ ΠΈ Π΄Π° ΡΠ΅ Π½Π΅ ΠΌΠΎΠΆΠ΅ ΡΠ΅ΠΊ ΡΠ°ΠΊΠΎ Π·Π°Π½Π΅ΠΌΠ°ΡΠΈΠ²Π°ΡΠΈ
Genotipske specifiΔnosti strukture rodnog drveta jabuke (Malus Ρ domestica Borkh.) u zavisnosti od uzgojne forme i sistema rezidbe
ProuΔavanje strukture rodnog drveta jabuke (Malus Ρ
domestica Borkh.) izvrΕ‘eno je sa ciljem definisanja sortnih specifiΔnosti u zavisnosti od uzgojne forme i primenjenog sistema rezidbe. IstraΕΎivanje je realizovano tokom trogodiΕ‘njeg perioda kod tri sorte jabuke izraΕΎenih sortnih specifiΔnosti u obrascima grananja i dve uzgojne forme sa odgovarajuΔim sistemom rezidbe. Sprovedeno istraΕΎivanje jasno pokazuje da postoje izraΕΎene genotipskih specifiΔnosti u zastupljenosti pojedinih tipova rodnih granΔica kod ispitivanih sorti jabuke. Evidentno je da osim sortnih specifiΔnosti struktura rodnog drveta nakon zimske rezidbe definisana je i interakcijskim efektom uzgojna forma Γ sistem rezidbe. Bez obzira na sortu, uzgojni oblik i sistem rezidbe u strukturi rodnog drveta dominiraju kratke rodne granΔice, dok je zastupljenost dugih rodnih grana relativno manje zastupljena kod oba sistema gajenja. Duge rodne grane imaju neΕ‘to veΔu zastupljenost u strukturi rodnog drveta kod uzgoje forme centralna osovina
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