36 research outputs found

    GWAS in practical cattle breeding in Czech Republic, single step method, genetic progress

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    Development of genetic evaluation of animals is permanent process. It was going from estimated breeding value (EBV) calculated by CC-test, across a BLUP – animal model and RR-TDM, to the genomic enhanced breeding value (GEBV) using genetic markers. Methods of genetic evaluation become a part of marketing strategies of insemination companies. Therefore all countries and association of breeders seek to be compatible with others. Now we are in a period of massive global implementation of genomic evaluation, which combines traditional BLUP with huge quantity of genetic SNP markers. Multi-step procedures are now usual in practice, which work with deregressed proofs. Development of methods attained to the single-step procedure (ssGBLUP) which overcomes some difficulties of previous methods, improves reliabilities of evaluation and compares all animals, genotyped and ungenotyped, in entire nation-wide population. Genomic evaluation influence above all young genotyped animals. In Czech Republic single-step procedure is routinely used for national evaluation of milk, linear type traits, reproduction and longevity. GEBVs are accompanied by genomic reliabilities. Genetic trends over last 20 years are in some traits different for genomic evaluation compared to traditional BLUP evaluation, although input data and genetic parameters (heritability) are the same and genotyped animals were only small proportion from entire evaluated population. Differences in genetic trends increase mainly in new batches of animals. Reason of it could be in the changed variability of breeding values and “genomic correction” of relationship between animals, which is expanded from genotyped animals to others individuals in a population. Keywords: genomic breeding value, single-step, genomic relationship, genetic trend, SNP ReferencesBauer, J. et al. (2014) Approximation of the reliability of single-step genomic breeding values for dairy cattle in the Czech Republic. Anim. Sci. Papers and Reports, 32, pp. 301-306.Bauer, J., Přibyl, J. and Vostrý, L. (2015) Contribution of domestic production records and Interbull EBV on approximate reliabilities of single-step genomic breeding values in dairy cattle. Czech J. Anim. Sci., 60, 263-267.Candrák, J., Kadlečík O. and Schaeffer L.R. (1997) The use of test-day model for Slovak cattle populations. In: Proc. 48th Annual Meeting of the European Association for Animal Production, Vienna, Austria, August 25–28.Christensen,  O.F. and Lund, M.S. (2010) Genomic prediction when some animals are not genotyped. Genet.Sel.Evol. 42, pp. 2.Fisher, R.A. (1918) The correlation between relatives in the supposition of Mendelianinheritance. Trans. Roy. Soc. Edinb. 52, pp. 399-433.            Fragomeni, B.O. et al. (2015) Hot topic: Use of genomic recursions in single-step genomic best linear unbiased predictor (BLUP) with a large number of genotypes. J. Dairy Sci., 98, pp. 4090-4094.Gao, H. et al. (2012) Comparison on genomic predictions using three GBLUP methods and two single step blending methods in the Nordic Holstein population. Genet. Sel.Evol. 44, pp. 8.Legarra A., Aguilar I. and Misztal, I. (2009) A relationship matrix including full pedigree and genomic information. J. Dairy Sci., 92, pp. 4656-4663.Masuda, Y. et al. (2016) Implementation of genomic recursions in single-step genomic best linear unbiased predictor for US Holsteins with a large number of genotyped animals. J. Dairy Sci., 99, pp. 1968-1974.Mendel, G.J. (1866) Versuche über Pflanzen-Hybriden. Verh. Naturforsch. Ver. Brünn 4, pp. 3–47 (1901, J. R. Hortic. Soc. 26, pp. 1–32).Meuwissen, T.H.E., Hayes, B.J. and Goddard, M.E. (2001) Prediction of total genetic value using genome-wide dense marker maps. Genetics, 157, pp. 1819–1829.Misztal, I., Legarra A. and Aguilar, I. (2009) Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information. J. Dairy Sci., 92, pp. 4648–4655.Misztal, I. et al. (2013) Methods to approximate reliabilities in single-step genomic evaluation. J. Dairy Sci., 96, pp. 647-654.Pešek, P., Přibyl, J. and Vostrý, L. (2015) Genetic variances of SNP loci for milk yield in dairy cattle. J. Appl. Genet., 56, pp. 339-347.Přibyl, J. et al. (2014) Domestic and Interbull information in the single step genomic evaluation of Holstein milk production.  Czech J. Anim. Sci., 59, pp. 409-415.Přibyl, J. et al. (2015) Domestic estimated breeding values and genomic enhanced breeding values of bulls in comparison with their foreign genomic enhanced breeding values. Animal, 9, pp. 1635-1642.VanRaden, P.M. (2008) Efficient methods to compute genomic predictions. J. Dairy Sci., 91, pp. 4414–4423.VanRaden, P.M. et al. (2011) Genomic evaluations with many more genotypes. Genet. Sel.Evol. 43, pp. 10.Wright, S. (1921) Systems of mating. Genetics. 6, pp. 111-178.Zavadilová, L. et al. (2014) Single-step genomic evaluation for linear type traits of Holstein cows in Czech Republic. Anim. Sci. Papers and Reports vol. 32, pp. 201-208.

    Foreign language learners acquire L2 phonetic detail: Goose and Foot fronting in non-native English

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    Whether late learners discern fine phonetic detail in second-language (L2) input, form new phonetic categories, and realize them accurately remains a relevant question in L2 phonology, especially for foreign-language (FL) learning characterized by limited exposure to interactional native input. Our study focuses on advanced Czech learners’ production of the L2 English vowels GOOSE and FOOT. While English /u/ and /ʊ/ have been undergoing fronting, their Czech equivalents, /uː/ and /u/, are fully back. We show that although the spectral differentiation of /u/-/ʊ/ is smaller in the learners’ than in native speech, the vowels being contrasted primarily in length, even FL learners can shift their L2 sound categories towards native-like targets, or in this case, produce English /u/-/ʊ/ as fronted

    Photography-based taxonomy is inadequate, unnecessary, and potentially harmful for biological sciences

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    The question whether taxonomic descriptions naming new animal species without type specimen(s) deposited in collections should be accepted for publication by scientific journals and allowed by the Code has already been discussed in Zootaxa (Dubois & Nemésio 2007; Donegan 2008, 2009; Nemésio 2009a–b; Dubois 2009; Gentile & Snell 2009; Minelli 2009; Cianferoni & Bartolozzi 2016; Amorim et al. 2016). This question was again raised in a letter supported by 35 signatories published in the journal Nature (Pape et al. 2016) on 15 September 2016. On 25 September 2016, the following rebuttal (strictly limited to 300 words as per the editorial rules of Nature) was submitted to Nature, which on 18 October 2016 refused to publish it. As we think this problem is a very important one for zoological taxonomy, this text is published here exactly as submitted to Nature, followed by the list of the 493 taxonomists and collection-based researchers who signed it in the short time span from 20 September to 6 October 2016

    Structure Quality of LuFeO3 Epitaxial Layers Grown by Pulsed-Laser Deposition on Sapphire/Pt

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    Structural quality of LuFeO3_{3} epitaxial layers grown by pulsed-laser deposition on sapphire substrates with and without platinum Pt interlayers has been investigated by in situ high-resolution X-ray diffraction (reciprocal-space mapping). The parameters of the structure such as size and misorientation of mosaic blocks have been determined as functions of the thickness of LuFeO3_{3} during growth and for different thicknesses of platinum interlayers up to 40 nm. By means of fitting of the time-resolved X-ray reflectivity curves and by in situ X-ray diffraction measurement, we demonstrate that the LuFeO3_{3} growth rate as well as the out-of-plane lattice parameter are almost independent from Pt interlayer thickness, while the in-plane LuFeO3_{3} lattice parameter decreases. We reveal that, despite the different morphologies of the Pt interlayers with different thickness, LuFeO3 was growing as a continuous mosaic layer and the misorientation of the mosaic blocks decreases with increasing Pt thickness. The X-ray diffraction results combined with ex situ scanning electron microscopy and high-resolution transmission electron microscopy demonstrate that the Pt interlayer significantly improves the structure of LuFeO3_{3} by reducing the misfit of the LuFeO3_{3} lattice with respect to the material underneath

    X-ray diffraction strain analysis of a single axial InAs1-xPx nanowire segment.

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    The spatial strain distribution in and around a single axial InAs1-xPx hetero-segment in an InAs nanowire was analyzed using nano-focused X-ray diffraction. In connection with finite-element-method simulations a detailed quantitative picture of the nanowire's inhomogeneous strain state was achieved. This allows for a detailed understanding of how the variation of the nanowire's and hetero-segment's dimensions affect the strain in its core region and in the region close to the nanowire's side facets. Moreover, ensemble-averaging high-resolution diffraction experiments were used to determine statistical information on the distribution of wurtzite and zinc-blende crystal polytypes in the nanowires

    Structural Investigations of Core-shell Nanowires Using Grazing Incidence X-ray Diffraction.

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    The fabrication of core-shell structures is crucial for many nanowire device concepts. For the proper tailoring of their electronic properties, control of structural parameters such as shape, size, diameter of core and shell, their chemical composition, and information on their strain fields is mandatory. Using synchrotron X-ray diffraction studies and finite element simulations, we determined the chemical composition, dimensions, and strain distribution for series of InAs/InAsP core-shell wires grown on Si(111) with systematically varied growth parameters. In particular we detect initiation of plastic relaxation of these structures with increasing shell thickness and/or increasing phosphorus content. We establish a phase diagram, defining the region of parameters leading to pseudomorphic nanowire growth. This is important to avoid extended defects which are detrimental for their electronic properties
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