Wyniki wyszukiwania

1

A caps marker set for mapping in linkage group III of pea [Pisum sativum L.]

100%

Konovalov F., Toshchakova E., Gostimsky S.

Cellular and Molecular Biology Letters

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2005

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tom 10

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nr 1

2

Object-oriented classification of QuickBird data for mapping seagrass spatial structure

86%

Urbanski J. A., Mazur A., Janas U.

Oceanological and Hydrobiological Studies

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2009

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tom 38

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nr 1

27-43

3

Biomedical research in Wrocław: a combined density-equalizing mapping and scientometric analysis

86%

Groneberg D. A.

Archivum Immunologiae et Therapiae Experimentalis

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2018

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tom 66

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nr 1

4

Artykuł dostępny w postaci pełnego tekstu - kliknij by otworzyć plik

Problems of mapping provisioning and recreation ecosystem services in metropolitan areas

86%

Ciszewska A., Adamczyk J.

Ekonomia i Środowisko

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2014

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nr 4[51]

5

Interval mapping of QTLs controlling some morphological traits in pea

86%

Irzykowska L., Wolko B., Swiecicki W. K.

Cellular and Molecular Biology Letters

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2002

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tom 07

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nr 2A

A linkage map of pea was constructed based on a 104 RIL population derived from the cross combination Wt10245 x Wt11238. The map, which consisted of 204 morphological, isozyme, AFLP, ISSR, STS, CAPS and RAPD markers, was used for interval mapping of the QTLs controlling the stem length and internode number of pea. In the characterization of a given QTL, we included an identification of its position with reference to the ﬂanking markers, an estimation of the part of variance explained by it, and a determination of gene action. Six QTLs per trait were identified as demonstrating linkage to ten intervals on five linkage groups. As many as seven QTLs inﬂuencing the analysed traits were mapped on linkage group II, indicating the important role of this region of the pea genome in plant height control.

6

Identification and mapping of the sulphate permease promoter region in Escherichia coli

86%

Hryniewicz M., Sirko A., Hulanicka D.

Acta Biochimica Polonica

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1989

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tom 36

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nr 3-4

7

Mapping spatial distribution of chosen environmental characteristics for agricultural use in Lower Silesia

86%

Kopanczyk K., Klimczak H.

Acta Scientiarum Polonorum. Geodesia et Descriptio Terrarum

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2013

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tom 12

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nr 2

Spatial statistics allows to assess geographic distribution of phenomena – its concentration, magnitude and orientation of dispersion as well regularity or trends in occurrence within a space. The paper presents adaptation of point-based methods to measure spatial distribution of areal phenomena that concern agriculture: area of agricultural land, area of fertile agricultural land and soil pH. The source data in a form of chorochromatic maps (e.g. a vector soil map) are processed to 1 x 1 km grid data with use of the algorithm created in Model Builder. The research area – Lower Silesia – characterizes various environmental conditions that results in changeability of agricultural land productivity. Spatial statistics performed for a whole region would bring only global information on spatial distribution. Hence the Authors propose to conduct analysis within subareas that depict local changeability of studied phenomena. As the research is conducted in agricultural context, the subareas of similar agricultural land areas are created regarding the administrative units. Spatial distribution is described by: mean centre, standard distance and standard deviational ellipse. All three measures are weighted by a variable (i.e. the intensity of the phenomenon) as spatial distribution is not only about location, but the value of the phenomenon in particular location is important. Measures of spatial distribution drawn on a map yields clear and usually easy to interpret information on spatial character of a phenomenon. In some cases it may be useful to present these qualitative characteristics complemented with another type of cartographic visualization (e.g. a choropleth map. This paper presents maps about the application of spatial distribution measures into assessment of agricultural land productivity in the research.

8

Chromosomal assignment of R-spondin genes in the donkey (Equus asinus, 2n equals 62)

86%

De Lorenzi L., Genualdo V., Perucatti A., Pia Di Meo G., Molteni L., Iannuzzi L., Parma P.

Journal of Applied Genetics

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2010

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tom 51

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nr 3

R-spondins constitute a recently discovered small family of growth factors, and the evidence of their role in several developmental pathways is growing fast. In this work we describe the chromosomal location of the four RSPO genes in the donkey. Using horse BACs, we localized RSIPO1 on EAS 5q23, RSPO2 on EAS 12q13, RSPO3 on EAS 24q26, and RSPO4 on EAS 15p13. Moreover, RSPO2, RSPO3, and RSPO4 are the first genes mapped on donkey chromosomes 12, 24, and 15, respectively.

9

Mapping of India’s contribution on “Down syndrome” during 40 years from 1973-2012

86%

Siwach A. K.

International Letters of Natural Sciences

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2015

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tom 07

Down syndrome, a genetic disease, is commonly diagnosed congenital malformation/mental retardation syndrome occurring in people of all races and economic levels. The present study is aimed to examine the contribution of Indian scientists on Down syndrome during the 40 years span from 1973-2012. The study analyses the Indian share in the research output, contribution and citation impact of top Indian institutions, most prolific Indian authors, top journals for publication, top collaborating countries, number of citations received and the highly cited papers in the Indian research on Down syndrome.

10

Appraisal of process mapping in heavy engineering projects: a case of Nigeria East-West coastal highway

86%

Ekung S., Adeniran L., Adu E.

International Letters of Natural Sciences

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2014

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tom 15

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nr 1

The need to improve project delivery process is one of the leading advocacies of relevant construction industry reports. Improved process is sine qua non for improve performance. Critical to the improvement process, is the need to assess construction process’ capability to meet design and production requirements. The present study examined process mapping of a cable-stayed bridge in the Nigeria’s east-west coastal highway project. Qualitative data was collected through a three phase process mapping protocol using mainly self-generate, one-on-one interview and focus group. Twenty non-related sub-processes were identified from four pre-construction stages: investigation; feasibility; design; and tender. Integrative definition (IDEFO) and Unified Language Modelling (UML) are used to map the feasibility, design and the design sub-processes. The mapping indicates the design sequence is iterative and factually flexible until such a point where functional design satisfies appropriate forcing test. The study provides medium for communicating complex construction functions thereby facilitating common understanding in the way projects are delivered with appropriate information about inputs, output and resources.

11

Radiation hybrids: a tool for high-resolution mapping

86%

Yerle M., Lahbib-Mansais Y., Robic A., Mompart F., Delcros C., Milan D.

Animal Science Papers and Reports

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2004

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tom 22

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nr 1

12

Using GEOBIA and data fusion approach for land use and land cover mapping

72%

Wezyk P., Hawrylo P., Szostak M., Pierzchalski M., de Kok R.

Quaestiones Geographicae

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2016

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tom 35

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nr 1

Land Use and Land Cover (LULC) maps play an important role in an environmental modelling, and for many years efforts have been made to improve and streamline the expensive mapping process. The aim of the study was to create LULC maps of three selected water catchment areas in South Poland using a Geographic Object-Based Image Analysis (GEOBIA) in order to highlight the advantages of this innovative, semi-automatic method of image analysis. The classification workflow included: multi-stage and multi-scale analyses based on a data fusion approach. Input data consisted mainly of BlackBridge (RapidEye) high resolution satellite imagery, although for distinguishing particular LULC classes, additional satellite images (LANDSAT TM5) and GIS-vector data were used. Accuracy assessment of GEOBIA classification results varied from 0.83 to 0.87 (Kappa), depending on the specific catchment area. The main recognized advantages of GEOBIA in the case study were: performing of multi-stage and multi-scale image classification using different features for specific LULC classes and the ability to using knowledge-based classification in conjunction with the data fusion approach in an efficient and reliable manner.

13

The mapping of QTLs for chlorophyll content and responsiveness to gibberellic (GA3) and abscisic (ABA) acids in rye

72%

Milczarski P., Masojc P.

Cellular and Molecular Biology Letters

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2002

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tom 07

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nr 2A

Genetic maps containing molecular markers are useful tools for the identification of genes underlying quantitative traits (QTLs). Three traits important for plant physiology, i.e. chlorophyll content, sensitivity to GA and sensitivity to ABA, were evaluated for 99 F2 families of the DS2 x RXLl0 rye mapping population. The observed variation in the chlorophyll content in rye leaves was shown to be under the genetic control of four independent QTLs. They were located on the following chromosome arms: 1RL (QChc-1R.I), 3RS (QChc-3R.1), 4RL (QChc-4R.1) and 5RL (QChc-5R.1) The marker-assisted selection of recombinants comprising positively-acting alleles at these loci may significantly increase the chlorophyll content in rye leaves, which should result in a higher efficiency of photosynthesis. A decreasing of plant height in rye is one of the major aims of breeders selecting for lodging resistance. The polymorphism of genes controlling sensitivity to gibberellic acid may be the basis for a potential selection strategy. Three QTLs underlying the sensitivity of rye seedlings to GA were located on chromosomes 5RL (QGar-5R.I), 1RL (QGar-1R.1) and on 7RL (QGar-7R.I). The dwarfing allele of a Dw1 locus present in line RXL10 was mapped in the same position as the QGar-5R.1 gene. Sensitivity to ABA plays an important role in imposing dormancy in rye grain. Three QTLs affecting sensitivity to ABA were found. They were mapped on chromosomes 1RS (QAbr-1R.1), 2R in the centromeric region (QAbr-2R.1) and on 5RL (QAbr-5R.1). QAbr-5R.1, Dw1 and QGar-5R.1 are located in the same position on the distal part of the 5RL chromosome arm, which suggests that they belong to a single locus for a major regulatory gene controlling the development of rye plants.

14

Application of GISH and AFLP techniques for identification of Lolium-Festuca introgressions

72%

Skibinska M., Kosmala A., Humphreys M. W., Zwierzykowski Z.

Cellular and Molecular Biology Letters

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2002

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tom 07

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nr 2A

At present, breeding programmes aimed at combining advantageous traits within the Lolium-Festuca complex, are mainly focused on introgression procedures. One principal objective, is the transfer of genes conferring resistance to abiotic stresses from Festuca species (F. pratensis, F. arundinacea and F. glaucescens) into Lolium multiflorum and L. perenne germplasm. In our experiments, two different hybrids: triploid - L. multiflorum (4x) x F. pratensis (2x) and pentaploid - F. arundinacea (6x) x L. multiflorum (4x) were backcrossed twice onto L. multiflorum cultivars, and numerous BC2 progeny generated. BC2 plants from both combinations were tested in field and/or simulated conditions for winter hardiness and drought resistance. GISH (genomic in situ hybridisation) analyses were then performed on the most winter hardy and drought resistant plants to locate putative genes for stress resistance. Using resistant L. multiflorum genotypes with a single Festuca chromatin segment, it was possible to allocate AFLP (amplified fragment length polymorphism) markers specific to that segment. Markers associated with genes conferring stress resistance facilitate marker-assisted selection programmes to obtain new, more persistent grass cultivars. Preliminary results of GISH analysis, to identify Festuca chromosome segments in L. multiflorum introgression lines and to find segment-specific AFLP markers, are presented.

15

Mapping of the influenza A hemagglutinin serotypes evolution by the ISSCOR method

72%

Radomski J. P., Slonimski P. P., Zagorski-Ostoja W., Borowicz P.

Acta Biochimica Polonica

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2014

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tom 61

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nr 3

16

Relative infaunal bivalve density assessed from split beam echosounder angular information

72%

Sanchez-Carnero N., Rodriguez-Perez D., Zaragoza N., Espinosa V., Freire J.

Oceanologia

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2014

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tom 56

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nr 3

17

Techniki projekcyjne - istota i zastosowanie

72%

Nikodemska-Wolowik A. M.

Marketing i Rynek

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1996

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tom 03

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nr 01

18

Ecosystem services hot spot mapping: protected areas in the Lower Silesia province

72%

Szkaradkiewicz M., Szewranski S., Kazak J.

Ekonomia i Środowisko

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2014

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nr 4[51]

19

Good reasons and guidance for mapping planktonic protist distributions

72%

Bulit C.

Acta Protozoologica

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2014

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tom 53

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nr 1 Spec.is. Marine Heterotrophic Protists

20

Mapping an ecosystem service: A quantitative approach to derive fish feeding ground maps

72%

Siaulys A., Daunys D., Bucas M., Bacevicius E.

Oceanologia

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2012

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tom 54

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nr 3

This study presents a quantitative approach to mapping benthophagous fish feeding grounds. This approach combines the spatial biomass distribution of benthic prey items and their importance for the diets of predators. A point based biomass data of macrozoobenthos together with a set of environmental factors was used to develop Random Forests models that produce continuous biomass distribution layers for individual prey species. Depending on the diet composition and the importance of prey for fish feeding, these layers are overlaid and an integrated GIS map of the seabed showing the quality of feeding grounds is generated. These maps provide a useful basis for conservation and marine spatial planning. In addition, this method could be applied to the mapping of resources used by other benthophagous organisms. The method is presented using the example of three common Baltic fish species: cod, flounder and viviparous eelpout.

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