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  • 1
    Call number: ZS-090(518) ; ZSP-168-518
    In: Berichte zur Polar- und Meeresforschung
    Type of Medium: Series available for loan
    Pages: III, 84 S. , Ill., graph. Darst., Kt.
    ISSN: 1618-3193
    Series Statement: Berichte zur Polar- und Meeresforschung 518
    Classification: A.3.16.
    Note: Zugl.: Bremen, Univ., Diss., 2003
    Location: Lower compact magazine
    Location: Reading room
    Branch Library: GFZ Library
    Branch Library: AWI Library
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  • 2
    ISSN: 1432-1203
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Medicine
    Notes: Summary Spinocerebellar ataxia (SCA) was studied in a seven-generation (Schut-Swier) kindred using linkage analysis to localize further the autosomal dominant, HLA-linked, disease-producing SCA1 locus relative to four other loci that map to the short arm of human chromosome 6. Genotypes for each locus were determined in as many individuals as possible from a total of 162 affected and unaffected family members that were studied. A maximum pairwise lod score of 8.52 (θ m = 0.10, θ f = 0.22) for linkage between SCA1 and HLA-A was observed. Multipoint linkage analyses for the SCA1, HLA-A, F13A, D6S7, and GLO1 loci revealed that the SCA1 locus is most probably located telomeric to HLA-A, with a likely location between HLA-A and F13A.
    Type of Medium: Electronic Resource
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  • 3
    ISSN: 1432-2242
    Keywords: Key words Bootstrap analysis ; Coefficient of co-ancestry ; Cultivar identification ; Genetic similarity ; Hordeum vulgare
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract  Thirty one barley lines were used to investigate the agreement between three relationship measures: genetic similarities based on 681 AFLP-markers, coefficients of co-ancestry based on pedigree data, and generalised distance based on 25 morpological characters (morphological distance). Bootstrap analysis was used to estimate the accuracy of the correlation estimates. AFLP-based genetic similarities showed a poor-to-moderate correlation with the coefficients of co-ancestry within the core set of 25 European two-row spring barleys. Morphological distance was not significantly correlated with either genetic similarity or the coefficient of co-ancestry. The precision of all correlation-coefficient estimates, however, was low. The inclusion of two European winter barleys, two North American two-row spring barleys, and two North American six-row spring barleys in the AFLP-analysis resulted in a much stronger correlation between genetic similarity and the coefficient of co-ancestry. This suggests good opportunities for the use of AFLP-markers to assess genetic diversity by distinguishing between the major ecotypes of barley. Additionally, each of the eight primer combinations used in the AFLP-analysis was able to identify all 31 lines uniquely, showing the usefulness of AFLPs for cultivar identification. Because of the inaccuracy of the investigated relationship measures, resulting in low values of the correlation-coefficient estimates, prediction of the breeding behaviour of parent combinations may be improved by the use of a combination of relationship measures, thus decreasing the effect of their individual independent errors.
    Type of Medium: Electronic Resource
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  • 4
    ISSN: 1365-2494
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: The use of imaging spectroscopy to predict the herbage mass of dry matter (DM), DM content of herbage and crude fibre, ash, total sugars and mineral (N, P, K, S, Ca, Mg, Mn, Zn and Fe) concentrations was evaluated. The experimental system used measured reflectance between 404 and 1650 nm at high spatial (0·28–1·45 mm2) and spectral resolution. Data from two experiments with Lolium perenne L. mini-swards were used where the degree of sward damage or N-fertilizer application varied. Regression models were calibrated and validated and the potential reduction in prediction error with multiple observations was estimated. The mean prediction errors for DM mass, DM content and N, total sugars, ash and crude fibre concentrations were 235–268 kg ha−1, 9·6–16·8 g kg−1, 2·4–3·4 g kg DM−1, 16·2–27·7 g kg DM−1, 5·8–6·5 g kg DM−1 and 8·4–10·4 g kg DM−1 respectively. The predictions for concentrations of P, K, S and Mg allowed identification of deficiency levels, in contrast to the concentrations of Na, Zn, Mn and Ca which could not be predicted with adequate precision. Prediction errors of DM mass may be maximally reduced to 95–142 kg ha−1 with 25 replicate measurements per field. It is concluded that imaging spectroscopy can provide an accurate means for assessment of DM mass of standing grass herbage. Predictions of macronutrient content and feeding value were satisfactory. The methodology requires further evaluation under field conditions.
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Plant breeding 119 (2000), S. 0 
    ISSN: 1439-0523
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: Twenty recombinant inbred line (RIL) populations of European two-row spring barley and their parents were tested in six environments in the Netherlands to investigate the prediction of progeny yield level, yield variance, stability level and stability variance, based on parent information. Progeny yield level is positively correlated with midparent value for average yield. Progeny yield variance is more difficult to predict, but there does appear to be a promising negative correlation between progeny yield variance and Habgood's (1977) parental similarity measure. To quantify yield stability, three statistics were calculated: Finlay and Wilkinson's (1963) regression coefficient bi, Shukla's (1972) stability variance σsi2 and Eberhart and Russell's (1966) mean squared deviation di2. The first stability statistic describes a different aspect of the response pattern to change in environment from the last two. Parents with high bi values appear to have a better average yield, i.e. they react more positively to an improvement in the environment than the other genotypes. The average bi value of the progeny is positively correlated with the midparent value, indicating its heritable nature. There are also indications that di2 and σi2 are heritable but their repeatability is poor. Therefore, it is concluded that only prediction of bi is useful in practical plant breeding. There is a positive correlation between progeny yield variance and progeny variance for bi but we conclude that the inaccuracy of the stability variance estimates is too high for good predictors for progeny stability variance to be found.
    Type of Medium: Electronic Resource
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  • 6
    ISSN: 1365-2494
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: The potential of imaging spectroscopy for the assessment of seasonal dry-matter (DM) yield and sward quality was studied. Relationships between spatial heterogeneity of tiller density, light interception, ground cover and seasonal DM yield were developed. Sward heterogeneity was quantified by the spatial standard deviation of ground cover and of logarithmically transformed ground cover, and patterns in ground cover transects were quantified by wavelet entropy. An experiment was conducted with eight control (C) swards, eight naturally damaged (ND) swards and twelve artificially damaged (AD) swards. Swards were established in containers and spectroscopic images were recorded twice weekly.Seasonal DM yield was linearly related to a combination of means of ground cover and index of reflection intensity (r2 = 0·93). Spatial variation of tiller density was larger for AD and ND swards than for C swards. Values of the spatial standard deviation of ground cover and wavelet entropy were larger for AD and ND swards than for C swards. A single spatial standard deviation of ground cover value of 13% discriminated ND and AD swards from C swards. Seasonal means of wavelet entropy (r2 = 0·70) and the spatial standard deviation of ground cover (r2 = 0·63) at harvest were linearly related to seasonal DM yield. It is concluded that imaging spectroscopy can be used for assessing seasonal DM yield and sward heterogeneity.
    Type of Medium: Electronic Resource
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  • 7
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Science Ltd
    Grass and forage science 58 (2003), S. 0 
    ISSN: 1365-2494
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: The potential of an imaging spectroscopy system with high spatial (0·16–1·45 mm2) and spectral resolution (5–13 nm) was explored for monitoring light interception and biomass of grass swards. Thirty-six Lolium perenne L. mini-swards were studied for a total of eleven consecutive growth periods. Hyperspectral images and light interception (LI) were recorded twice weekly. On two dates ground cover was scored visually (GCv). At harvest, leaf area index (LAI), fresh-matter yield and dry-matter yield (DMY) were determined. Classification of images yielded several estimates of the image ground cover (GCi) and the index of reflection intensity (IRI). The GCi was highly correlated with GCv (〈inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu1" location="equation/GFS_379_mu1.gif"/〉 = 0·94), LAI (〈inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu2" location="equation/GFS_379_mu2.gif"/〉 = 0·88) and LI (〈inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu3" location="equation/GFS_379_mu3.gif"/〉 = 0·95, for dense swards under cloudy skies). However, the relationship between GCi and LI depended on sky conditions and sward structure. Under cloudy skies, LI was linearly related to GCi, whereas under clear skies, this relation was logistic. Regression analysis of GCi and yields showed correlations with 〈inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu4" location="equation/GFS_379_mu4.gif"/〉 of between 0·75 and 0·82. The mean error of DMY estimates was 340 kg. In conclusion, estimates of GCi and IRI can be used to predict DMY, even for high yield levels (up to 3500 kg DM ha−1), allowing accurate, non-destructive monitoring of biomass and light interception of grass swards.
    Type of Medium: Electronic Resource
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  • 8
    ISSN: 0014-5793
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology , Chemistry and Pharmacology , Physics
    Type of Medium: Electronic Resource
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  • 9
    Electronic Resource
    Electronic Resource
    s.l. ; Stafa-Zurich, Switzerland
    Materials science forum Vol. 105-110 (Jan. 1992), p. 1391-1394 
    ISSN: 1662-9752
    Source: Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Type of Medium: Electronic Resource
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  • 10
    Electronic Resource
    Electronic Resource
    s.l. ; Stafa-Zurich, Switzerland
    Materials science forum Vol. 175-178 (Nov. 1994), p. 229-232 
    ISSN: 1662-9752
    Source: Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Type of Medium: Electronic Resource
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