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1.Imagen marcada / sin marcar RAVAGNOLO, O.; MISZTAL, I. Effect of heat stress on nonreturn rate in holstein cows: Genetic analyses. Journal of Dairy Science, 2002, 85 (11): 3092-3100. Article history: Received August 13, 2001. / Accepted October 16, 2002.
Biblioteca(s): INIA Las Brujas.
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2.Imagen marcada / sin marcar RAVAGNOLO, O.; MISZTAL, I. Effect of heat stress on nonreturn rate in holsteins: Fixed-model analyses. Journal of Dairy Science, 2002, 85 (11): 3101-3106 Article history: Received August 13, 2001. / Accepted October 16, 2002.
Biblioteca(s): INIA Las Brujas.
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3.Imagen marcada / sin marcar Ravagnolo, O.; Misztal, I. Genetic component of heat stress in dairy cattle, parameter estimation Journal of Dairy Science, 2000, 83 (9): 2126-2130
Biblioteca(s): INIA La Estanzuela; INIA Las Brujas.
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4.Imagen marcada / sin marcar AGUILAR, I.; MISZTAL, I. Technical Note: Recursive Algorithm for Inbreeding Coefficients Assuming Nonzero Inbreeding of Unknown Parents. Journal of Dairy Science, 2008, 91 (4): 1669-1672. Article history: Received August 3, 2007. // Accepted December 17, 2007.
Biblioteca(s): INIA Las Brujas.
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5.Imagen marcada / sin marcar RAVAGNOLO, O.; MISZTAL, I. Studies on genetics of heat tolerance in dairy cattle with reduced weather information via cluster analysis. Journal of Dairy Science, June 2002, Volume 85, Issue 6, Pages 1586-1589. OPEN ACCESS. DOI: https://doi.org/10.3168/jds.S0022-0302(02)74228-8 Article history:
Biblioteca(s): INIA Las Brujas.
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6.Imagen marcada / sin marcar MISZTAL, I.; RAVAGNOLO, O. Studies on genetics of heat tolerance in Holsteins. Session 18. Genotype by environment interaction Communication no. 18-05. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 7., Montpellier, France, August 19-23, 2002, p. 18.05.
Biblioteca(s): INIA Las Brujas.
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7.Imagen marcada / sin marcar AGUILAR, I.; TSURUTA, S.; MISZTAL, I. Computing options for multiple-trait test-day random regression models while accounting for heat tolerance. Journal of Animal Breeding and Genetics, 2010, v.127, no.3, p.235-241. Article history: Received: 24 December 2008 / Accepted: 08 September 2009.
Biblioteca(s): INIA Las Brujas.
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8.Imagen marcada / sin marcar MISZTAL, I.; LEGARRA, A.; AGUILAR, I. Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information. Journal of Dairy Science, 2011, 92 (9): 4648-4655. OPEN ACCESS. Article history: Received January 26, 2009. // Accepted April 29, 2009.
Biblioteca(s): INIA Las Brujas.
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9.Imagen marcada / sin marcar FORNI, S.; AGUILAR, I.; MISZTAL, I. Different genomic relationship matrices for single-step analysis using phenotypic, pedigree and genomic information. Genetics Selection Evolution, 2011, v.43, no.1, p.443-447. ARTICULO OPEN ACCESS.
Biblioteca(s): INIA Las Brujas.
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10.Imagen marcada / sin marcar Ravagnolo, O.; Misztal, I.; Hoogenboom, G. Genetic component of heat stress in dairy cattle, development of heat index function Journal of Dairy Science, 2000, 83 (9): 2120-2125
Biblioteca(s): INIA La Estanzuela; INIA Las Brujas.
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11.Imagen marcada / sin marcar AGUILAR, I.; MISZTAL, I.; TSURUTA, S. Genetic components of heat stress for dairy cattle with multiple lactations. Journal of Dairy Science, 2009, v. 92, no. 11, p. 5702-5711.
Biblioteca(s): INIA La Estanzuela; INIA Las Brujas.
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12.Imagen marcada / sin marcar LEGARRA, A.; AGUILAR, I.; MISZTAL, I. A relationship matrix including full pedigree and genomic information. Journal of Dairy Science, 2009, 92 (9): 4656-4663. OPEN ACCESS. Article history: Received January 26, 2009. // Accepted April 28, 2009.
Biblioteca(s): INIA Las Brujas.
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13.Imagen marcada / sin marcar AGUILAR, I.; MISZTAL, I.; TSURUTA, S. Short communication: Genetic trends of milk yield under heat stress for US Holsteins. Journal of Dairy Science, 2010, v.93, no.4, p. 1754-1758. Article history: Received September 21, 2009. / Accepted December 4, 2009.
Biblioteca(s): INIA Las Brujas.
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14.Imagen marcada / sin marcar PSZCZOLA, M.; AGUILAR, I.; MISZTAL, I. Short communication: Trends for monthly changes in days open in Holsteins. Journal of Dairy Science, 2009, 92 (9): 4689-4696. OPEN ACCESS. Article history: Received December 17, 2008. // Accepted May 5, 2009.
Biblioteca(s): INIA La Estanzuela; INIA Las Brujas.
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15.Imagen marcada / sin marcar LEGARRA, A.; AGUILAR, I.; MISZTAL, I. Single step methods with a view towards poultry breeding. Volume Species Breeding: Poultry, 324. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.324. Acknowledgements: This work has been financed by X-Gen and GenSSeq actions from SelGen metaprogram (INRA).
Biblioteca(s): INIA Las Brujas.
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16.Imagen marcada / sin marcar MISZTAL, I.; LEGARRA, A.; AGUILAR, I. Using recursion to compute the inverse of the genomic relationship matrix. Journal of Dairy Science, 2014, v.97, no.6, p.3943-3952. OPEN ACCESS. Article history: Received November 22, 2013. // Accepted February 10, 2014.
Biblioteca(s): INIA Las Brujas.
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17.Imagen marcada / sin marcar MASUDA, Y.; AGUILAR, I.; TSURUTA, S.; MISZTAL, I. Acceleration of computations in AI REML for single-step GBLUP models. Volume Methods and Tools: Statistical methods - linear and nonlinear models (Posters), 703. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.703.
Biblioteca(s): INIA Las Brujas.
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18.Imagen marcada / sin marcar VITEZICA, Z.G.; AGUILAR, I.; MISZTAL, I.; LEGARRA, A. Bias in genomic predictions for populations under selection. Genetics Research, 2011, v.93 no.5, p.357-366. Article history: Received 27 January 2011 / Revised 27 March 2011 / Published online 18 July 2011.
Biblioteca(s): INIA Las Brujas.
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19.Imagen marcada / sin marcar AGUILAR, I.; MISZTAL, I.; LEGARRA, A.; TSURUTA, S. Efficient computation of the genomic relationship matrix and other matrices used in single-step evaluation. Journal of Animal Breeding and Genetics, 2011, v.128, no.6, p.422-428.
Biblioteca(s): INIA Las Brujas.
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20.Imagen marcada / sin marcar AGUILAR, I.; MISZTAL, I.; LEGARRA, A.; TSURUTA, S. Efficient computations of genomic relationship matrix and other matrices used in the single-step evaluation. Volume Methods and tools: Software and bioinformatics - Lecture Sessions, 0768. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0768. Acknowledgments: This study was partially funded by the Holstein Association USA Inc. and by AFRI grants 2009-65205-05665 and 2010-65205-20366 from the USDA NIFA Animal Genome Program. The authors thank P.M. VanRaden from Animal...
Biblioteca(s): INIA Las Brujas.
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Registros recuperados : 81
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Biblioteca (s) :  INIA Las Brujas.
Fecha actual :  18/04/2023
Actualizado :  18/04/2023
Tipo de producción científica :  Artículos en Revistas Indexadas Internacionales
Circulación / Nivel :  Internacional - --
Autor :  BODEN, S.A.; MCINTOSH, R.A.; UAUY, C.; KRATTINGER, S.G.; DUBCOVSKY, J.; ROGERS, W.J.; XIA, X.C.; BADAEVA, E.D.; BENTLEY, A.R.; BROWN-GUEDIRA, G.; CACCAMO, M.; CATTIVELLI, L.; CHHUNEJA, P.; COCKRAM, J.; CONTRERAS-MOREIRA, B.; DREISIGACKER, S.; EDWARDS, D.; GONZÁLEZ, F.G.; GUZMÁN, C.; IKEDA, T.M.; KARSAI, I.; NASUDA, S.; POZNIAK, C.; PRINS, R.; SEN, T.Z.; SILVA, P.; SIMKOVA, H.; ZHANG, Y.
Afiliación :  S. A. BODEN, School of Agriculture, Food and Wine, Waite Research Institute, University of Adelaide, Glen Osmond, 5064, SA, Australia; R. A. MCINTOSH, School of Life and Environmental Sciences, University of Sydney, Plant Breeding Institute, 107 Cobbitty Road, Cobbitty, 2570, NSW, Australia; C. UAUY, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, United Kingdom; S. G. KRATTINGER, Plant Science Program, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia; The Wheat Initiative, Berlin, Germany; J. DUBCOVSKY, Department of Plant Science, University of California, Davis, 95616, CA, United States; The Wheat Initiative, Berlin, 14195, Germany; W. J. ROGERS, Dpto. Biología Aplicada, Fac. Agronomía (CIISAS, CIC-BIOLAB AZUL, CONICET-INBIOTEC, CRESCA), Univ. Nac. del Centro de La Provincia de Buenos Aires, Provincia Bs.As., Azul, Argentina; The Wheat Initiative, Berlin, 14195, Germany; X. C. XIA, Institute of Crop Science, National Wheat Improvement Centre, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South St, Beijing, 100081, China; E. D. BADAEVA, N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119991, Russian Federation; A. R. BENTLEY, International Maize and Wheat Improvement Center (CIMMYT), Apdo Postal 6-641, Mexico, D.F., Mexico; The Wheat Initiative, Berlin, 14195, Germany; G. BROWN-GUEDIRA, USDA-ARS Plant Science Research, North Carolina State University, William Hall 4114A, Raleigh, 27695, NC, United States; The Wheat Initiative, Berlin, 14195, Germany; M. CACCAMO, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, United Kingdom; The Wheat Initiative, Berlin, 14195, Germany; L. CATTIVELLI, Council for Agricultural Research and Economics (CREA), Research Centre for Genomics and Bioinformatics, Via S. Protaso, 302, PC, Fiorenzuola d’Arda, 29017, Italy; The Wheat Initiative, Berlin, 14195, Germany; P. CHHUNEJA, School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, 141 004, India; J. COCKRAM, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, United Kingdom; The Wheat Initiative, Berlin, 14195, Germany; B. CONTRERAS-MOREIRA, Estación Experimental de Aula Dei (EEAD-CSIC), Zaragossa, Spain; S. DREISIGACKER, International Maize and Wheat Improvement Center (CIMMYT), Apdo Postal 6-641, Mexico, D.F., Mexico; The Wheat Initiative, Berlin, 14195, Germany; D. EDWARDS, School of Biological Sciences, University of Western Australia, Perth, 6009, Australia; The Wheat Initiative, Berlin, 14195, Germany; F. G. GONZÁLEZ, Inst. Nac. Tecnol. Agrop. (INTA), EEA Pergamino, y Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires (CITNOBA, CONICET-UNNOBA-UNSADA), Bs.As., Pergamino, Pergamino, Argentina; The Wheat Initiative, Berlin, Germany; C. GUZMÁN, Department of Genetics, School of Agricultural and Forest Engineering, Universidad de Córdoba, Córdoba, Spain; The Wheat Initiative, Berlin, 14195, Germany; T. M. IKEDA, Agroecosystem and Crop Breeding Group, Western Region Agricultural Research Center, Hiroshima, Fukuyama, 721-8514, Japan; The Wheat Initiative, Berlin, 14195, Germany; I. KARSAI, Centre for Agricultural Research, ELKH, Martonvasar, 2462, Hungary; The Wheat Initiative, Berlin, 14195, Germany; S. NASUDA, Laboratory of Plant Breeding, Graduate School of Agriculture, Kyoto University, Kyoto, 606-8224, Japan; C. POZNIAK, Crop Development Centre and Department of Plant Sciences, University of Saskatchewan, 51 Campus Drive, Saskatoon, S7N 5A8, SK, Canada; The Wheat Initiative, Berlin, 14195, Germany; R. PRINS, CenGen Pty Ltd., Worcester, 6850, South Africa; Department of Genetics, Stellenbosch University, Matieland, 7602, South Africa; T. Z. SEN, Crop Improvement and Genetics Research Unit, USDA-ARS, 800 Buchanan St, Albany, 94710, CA, United States; The Wheat Initiative, Berlin, 14195, Germany; MARIA PAULA SILVA VILLELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; H. SIMKOVA, Institute of Experimental Botany of the Czech Academy of Sciences, Šlechtitel? 31, Olomouc, 779 00, Czech Republic; Y. ZHANG, State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China.
Título :  Updated guidelines for gene nomenclature in wheat.
Fecha de publicación :  2023
Fuente / Imprenta :  Theoretical and Applied Genetics, 2023, Volume 136, Issue 4, article 72. OPEN ACCESS. Doi: https://doi.org/10.1007/s00122-023-04253-w
ISSN :  0040-5752
DOI :  10.1007/s00122-023-04253-w
Idioma :  Inglés
Notas :  Article history: Received 25 May 2022, Accepted 10 October 2022, Published 23 March 2023. -- Communicated by Peter Langridge. -- Correspondence authors: Boden, S.A.; School of Agriculture, Food and Wine, Waite Research Institute, University of Adelaide, Glen Osmond, SA, Australia, email:scott.boden@adelaide.edu.au ; McIntosh, R.A.; School of Life and Environmental Sciences, University of Sydney, Plant Breeding Institute, 107 Cobbitty Road, Cobbitty, NSW, Australia, email:Robert.mcintosh@sydney.edu.au ; Uauy, C.; John Innes Centre, Norwich Research Park, Norwich, United Kingdom, email:cristobal.uauy@jic.ac.uk -- Publisher: Springer Science and Business Media Deutschland GmbH -- Document type: Article-Hybrid Gold Open Access. --
Contenido :  Key message: Here, we provide an updated set of guidelines for naming genes in wheat that has been endorsed by the wheat research community. Abstract: The last decade has seen a proliferation in genomic resources for wheat, including reference- and pan-genome assemblies with gene annotations, which provide new opportunities to detect, characterise, and describe genes that influence traits of interest. The expansion of genetic information has supported growth of the wheat research community and catalysed strong interest in the genes that control agronomically important traits, such as yield, pathogen resistance, grain quality, and abiotic stress tolerance. To accommodate these developments, we present an updated set of guidelines for gene nomenclature in wheat. These guidelines can be used to describe loci identified based on morphological or phenotypic features or to name genes based on sequence information, such as similarity to genes characterised in other species or the biochemical properties of the encoded protein. The updated guidelines provide a flexible system that is not overly prescriptive but provides structure and a common framework for naming genes in wheat, which may be extended to related cereal species. We propose these guidelines be used henceforth by the wheat research community to facilitate integration of data from independent studies and allow broader and more efficient use of text and data mining approaches, which will ultimately help further accelerate ... Presentar Todo
Palabras claves :  Edible Grain; Genes; Phenotype; Plant; Plant Breeding; Triticum.
Asunto categoría :  F30 Genética vegetal y fitomejoramiento
URL :  https://link.springer.com/content/pdf/10.1007/s00122-023-04253-w.pdf
Marc :  Presentar Marc Completo
Registro original :  INIA Las Brujas (LB)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LB103384 - 1PXIAP - DDTAG/2023
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