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| Registros recuperados : 15 | |
| 1. |  | CALVO-SALAZAR, V.; SINGH, R. P.; HUERTA-ESPINO, J.; CRUZ-IZ QUIERDO, S.; LOBATO-ORTIZ, R.; SANDOVAL-ISLAS, S.; VARGAS-HERNÁNDEZ, M.; GERMAN, S.; SILVA, P.; BASNET, B. R.; LAN, C. X.; HERRERA-FOESSEL, S. A. Genetic Analysis of Resistance to Leaf Rust and Yellow Rust in Spring Wheat Cultivar Kenya Kongoni. Plant Disease, v. 99, no.1153-1160, 2015. Article history: Accepted for publication 9 February 2015/Published Online:23 Jun 2015.| Biblioteca(s): INIA La Estanzuela. |
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| 2. | | GERMÁN, S.; CAMPOS, P.; CHAVES, M.; MADARIAGA, R.; CERETTA, S.; HUERTA-ESPINO, J.; HERRERA-FOESSEL, S.; SINGH, R.P. Differential expression of partial resistance to wheat leaf rust in Mexico and the Southern Cone of America. In: INTERNATIONAL WHEAT CONFERENCE, 8., 2010, St. Petersburg, RU. Abstracts...: wheat genetics and breeding for biotic stresses; poster presentations. St. Petersburg: VIR, 2010. p. 285. Presentado originalmente en: INTERNATIONAL WHEAT CONFERENCE, 8., 2010, St. Petersburg, RU. Abstracts...: wheat genetics and breeding for biotic stresses; poster presentations. St. Petersburg: VIR, 2010. p. 285.| Biblioteca(s): INIA La Estanzuela. |
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| 3. | | HUERTA-ESPINO, J..; SINGH, R.P.; GERMAN, S.; McCALLUM , B.D.; PARK , R.F.; CHEN, W.Q.; BHARDWAJ, S.C.; GOYEAU, H. Global status of wheat leaf rust caused by Puccinia triticina. Euphytica, v.179, n. 1, p. 143-160, 2011.| Biblioteca(s): INIA La Estanzuela. |
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| 4. | | LADO, B.; BATTENFIELD, S. D.; GUZMÁN, C.; QUINCKE, M.; SINGH, R. P.; DREISIGACKER, S.; PEÑA, R. J.; FRITZ, AL.; SILVA, P.; POLAND, J.; GUTIÉRREZ, L. Strategies for selecting crosses using genomic prediction in two wheat breeding programs. The Plant Genome, 2017, v.10, Issue 2, 12p. OPEN ACCESS Article history: Received: Dec 14, 2016 // Accepted: Mar 18, 2017 // Published: July 6, 2017.
B. Lado and S. Battenfield contributed equally.Assigned to Associate Editor Nicholas Tinker.
This is an open access article distributed under...| Biblioteca(s): INIA Las Brujas. |
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| 5. | | LADO, B.; BATTENFIELD, S.; SILVA, P.; QUINCKE, M.; GUZMAN, C.; SINGH, R.P.; DREISIGACKER, S.; PEÑA, J.; FRITZ, A.; POLAND, J.; GUTIERREZ, L. Comparing strategies to select crosses using genomic prediction in two wheat breeding programs. In: International Wheat Genetics Symposium, 12, Tulln, Austria; April 23-28, 2017; BOKU: University of Natural Resources and Life Sciences, Vienna, Austria. p.88-90.| Biblioteca(s): INIA La Estanzuela. |
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| 6. | | LANGRIDGE, P.; ALAUX, M.; ALMEIDA, N.F.; AMMAR, K.; BAUM, M.; BEKKAOUI, F.; BENTLEY, A.R.; BERES, B.L.; BERGER, B.; BRAUN, H.-J.; BROWN-GUEDIRA, G.; BURT, C.J.; CACCAMO, M.J.; CATTIVELLI, L.; CHARMET, G.; CIVÁN, P.; CLOUTIER, S.; COHAN, J-P.; DEVAUX, P.; DOOHAN, F.M.; DRECCER, M.F.; FERRAHI, M.; GERMAN, S.; GOODWIN, S.B.; GRIFFITHS, S.; GUZMÁN, C.; HANDA, H.; HAWKESFORD, M.J.; HE, Z.; HUTTNER, E.; IKEDA, T.M.; KILIAN, B.; KING, I.P.; KING, J.; KIRKEGAARD, J.A.; LAGE, J.; LE GOUIS, J.; MONDAL, S.; MULLINS, E.; ORDON, F.; ORTIZ-MONASTERIO, J.I.; ÖZKAN, H.; ÖZTÜRK, I.; PEREYRA, S.; POZNIAK, C.J.; QUESNEVILLE, H.; QUINCKE, M.; REBETZKE, G.J.; CHRISTOPH REIF, J.; SAAVEDRA-BRAVO, T.; SCHURR, U.; SHARMA, S.; SINGH, S.K.; SINGH, R.P.; SNAPE, J.W.; TADESSE, W.; TSUJIMOTO, H.; TUBEROSA, R.; WILLIS, T.G.; ZHANG, X. Meeting the challenges facing wheat production: the strategic research agenda of the Global Wheat Initiative. Agronomy, 2022, volume 12, issue 11, 2767. OPEN ACCESS. doi: https://doi.org/10.3390/agronomy12112767 Article history: Received 26 September 2022; Revised 28 October 2022; Accepted 29 October 2022; Published 7 November 2022. -- Academic Editor: Andreas Katsiotis. -- Corresponding author: Langridge, P.; School of Agriculture, Food and...| Biblioteca(s): INIA Las Brujas. |
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| 7. | | LEWIS ,C.M.; PERSOONS, A.; BEBBER, D.P.; KIGATHI, R.N.; MAINTZ, J.; FINDLAY, K.; BUENO-SANCHO, V.; CORREDOR-MORENO, P.; HARRINGTON, S.A.; KANGARA, N.; BERLIN, A.; GARCIA, R.; GERMAN, S.; HANZALOVÁ, A.; HODSON, D.P.; HOVMØLLER, M.S.; HUERTA-ESPINO, J.; IMTIAZ, M.; MIRZA, J.I.; JUSTESEN, A.F.; NIKS, R.E.; OMRANI, A.; PATPOUR, M.; PRETORIUS ,Z.A.; ROOHPARVAR, R.; SELA, H.; SINGH, R.P.; STEFFENSON ,B.; VISSER, B.; FENWICK, P.M.; THOMAS, J.; WULFF, B.B.H.; SAUNDERS, D.G.O. Potential for re-emergence of wheat stem rust in the United Kingdom. Veterinary Pathology [Vet Pathol], 2018 Sep 24, p. 300985818798117.OPEN ACCESS. Article history: Date Created: 20181002 //Latest Revision: 20181003.| Biblioteca(s): INIA La Estanzuela. |
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| 8. | | OSMAN, M.; HE, X.; SINGH, R.P.; DUVEILLER, E.; LILLEMO, M.; PEREYRA, S.; WESTERDIJK-HOKS, I.; KURUSHIMA, M.; YAU, S.-K.; BENEDETTELLI, S.; SINGH, P.K. Phenotypic and genotypic characterization of CIMMYT's 15th international Fusarium head blight screening nursery of wheat. Euphytica, 2015, v. 205, n. 2, p. 521-537. Article history: Received 27 August 2014 // Accepted 12 March 2015 // First Online 18 March 2015.
Electronic supplementary material. The online version of this article (doi:10.1007/s10681-015-1425-0) contains supplementary material, which...| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas. |
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| 15. | | WANG, X.; SILVA, P.; BELLO, N.M.; SINGH, D.; EVERS, B.; SINGH, R.P.; POLAND, J. Improved accuracy of high-throughput phenotyping from unmanned aerial systems by extracting traits directly from orthorectified images. Frontiers in Plant Science, 21 October 2020, Volume 11, Article number 587093. Open Access. Doi: https://doi.org/10.3389/fpls.2020.587093 Article history: Received: 27 July 2020/ Accepted: 30 September 2020/Published: 21 October 2020.| Biblioteca(s): INIA La Estanzuela. |
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| Registros recuperados : 15 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
05/02/2020 |
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Actualizado : |
05/02/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
SIGDEL, A.; ABDOLLAHI-ARPANAHI, R.; AGUILAR, I.; PEÑAGARICANO, F. |
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Afiliación : |
ANIL SIGDEL, Department of Animal Sciences, University of Florida, Gainesville, FL, United States; ROSTAM ABDOLLAHI-ARPANAHI, Department of Animal Sciences, University of Florida, Gainesville, FL, United States; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FRANCISCO PEÑAGARICANO, Department of Animal Sciences, University of Florida, Gainesville, FL, United States; University of Florida Genetics Institute, University of Florida, Gainesville, FL, United States. |
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Título : |
Whole genome mapping reveals novel genes and pathways involved in milk production under heat stress in US Holstein cows. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Frontiers in Genetics, 4 October 2019, Volume 10, Article number 928. OPEN ACCESS. Doi: https://doi.org/10.3389/fgene.2019.00928 |
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ISSN : |
1664-8021 |
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DOI : |
10.3389/fgene.2019.00928 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 19 May 2019 / Accepted: 05 September 2019 / Published: 04 October 2019.
Specialty section: This article was submitted to Livestock Genomics, a section of the journal Frontiers in Genetics.
Corresponding author: Francisco Peñagaricano - fpenagaricano@ufl.edu |
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Contenido : |
ABSTACT.
Heat stress represents a major environmental factor that negatively affects the health and performance of dairy cows, causing huge economic losses to the dairy industry. Identifying and selecting animals that are thermotolerant is an attractive alternative for reducing the negative effects of heat stress on dairy cattle performance. As such, the objectives of the present study were to estimate genetic components of milk yield, fat yield, and protein yield considering heat stress and to perform whole-genome scans and a subsequent gene-set analysis for identifying candidate genes and functional gene-sets implicated in milk production under heat stress conditions. Data consisted of about 254k test-day records from 17,522 Holstein cows. Multi-trait repeatability test day models with random regressions on a function of temperature-humidity index (THI) values were used for genetic analyses. The models included herd-test-day and DIM classes as fixed effects, and general and thermotolerance additive genetic and permanent environmental as random effects. Notably, thermotolerance additive genetic variances for all milk traits increased across parities suggesting that cows become more sensitive to heat stress as they age. In addition, our study revealed negative genetic correlations between general and thermotolerance additive effects, ranging between ?0.18 to ?0.68 indicating that high producing cows are more susceptible to heat stress. The association analysis identified at least three different genomic regions on BTA5, BTA14, and BTA15 strongly associated with milk production under heat stress conditions. These regions harbor candidate genes, such as HSF1, MAPK8IP1, and CDKN1B that are directly involved in the cellular response to heat stress. Moreover, the gene-set analysis revealed several functional terms related to heat shock proteins, apoptosis, immune response, and oxidative stress, among others. Overall, the genes and pathways identified in this study provide a better understanding of the genetic architecture underlying dairy cow performance under heat stress conditions. Our findings point out novel opportunities for improving thermotolerance in dairy cattle through marker-assisted breeding.
© Copyright © 2019 Sigdel, Abdollahi-Arpanahi, Aguilar and Peñagaricano. MenosABSTACT.
Heat stress represents a major environmental factor that negatively affects the health and performance of dairy cows, causing huge economic losses to the dairy industry. Identifying and selecting animals that are thermotolerant is an attractive alternative for reducing the negative effects of heat stress on dairy cattle performance. As such, the objectives of the present study were to estimate genetic components of milk yield, fat yield, and protein yield considering heat stress and to perform whole-genome scans and a subsequent gene-set analysis for identifying candidate genes and functional gene-sets implicated in milk production under heat stress conditions. Data consisted of about 254k test-day records from 17,522 Holstein cows. Multi-trait repeatability test day models with random regressions on a function of temperature-humidity index (THI) values were used for genetic analyses. The models included herd-test-day and DIM classes as fixed effects, and general and thermotolerance additive genetic and permanent environmental as random effects. Notably, thermotolerance additive genetic variances for all milk traits increased across parities suggesting that cows become more sensitive to heat stress as they age. In addition, our study revealed negative genetic correlations between general and thermotolerance additive effects, ranging between ?0.18 to ?0.68 indicating that high producing cows are more susceptible to heat stress. The association analysis identified at ... Presentar Todo |
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Palabras claves : |
Gene-set analysis; Genetic parameters; Genomic scan; Heat-shock proteins; Thermotolerance. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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URL : |
https://www.frontiersin.org/articles/10.3389/fgene.2019.00928/pdf
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Marc : |
LEADER 03448naa a2200253 a 4500
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008 2019 bl uuuu u00u1 u #d
022 $a1664-8021
024 7 $a10.3389/fgene.2019.00928$2DOI
100 1 $aSIGDEL, A.
245 $aWhole genome mapping reveals novel genes and pathways involved in milk production under heat stress in US Holstein cows.$h[electronic resource]
260 $c2019
500 $aArticle history: Received: 19 May 2019 / Accepted: 05 September 2019 / Published: 04 October 2019. Specialty section: This article was submitted to Livestock Genomics, a section of the journal Frontiers in Genetics. Corresponding author: Francisco Peñagaricano - fpenagaricano@ufl.edu
520 $aABSTACT. Heat stress represents a major environmental factor that negatively affects the health and performance of dairy cows, causing huge economic losses to the dairy industry. Identifying and selecting animals that are thermotolerant is an attractive alternative for reducing the negative effects of heat stress on dairy cattle performance. As such, the objectives of the present study were to estimate genetic components of milk yield, fat yield, and protein yield considering heat stress and to perform whole-genome scans and a subsequent gene-set analysis for identifying candidate genes and functional gene-sets implicated in milk production under heat stress conditions. Data consisted of about 254k test-day records from 17,522 Holstein cows. Multi-trait repeatability test day models with random regressions on a function of temperature-humidity index (THI) values were used for genetic analyses. The models included herd-test-day and DIM classes as fixed effects, and general and thermotolerance additive genetic and permanent environmental as random effects. Notably, thermotolerance additive genetic variances for all milk traits increased across parities suggesting that cows become more sensitive to heat stress as they age. In addition, our study revealed negative genetic correlations between general and thermotolerance additive effects, ranging between ?0.18 to ?0.68 indicating that high producing cows are more susceptible to heat stress. The association analysis identified at least three different genomic regions on BTA5, BTA14, and BTA15 strongly associated with milk production under heat stress conditions. These regions harbor candidate genes, such as HSF1, MAPK8IP1, and CDKN1B that are directly involved in the cellular response to heat stress. Moreover, the gene-set analysis revealed several functional terms related to heat shock proteins, apoptosis, immune response, and oxidative stress, among others. Overall, the genes and pathways identified in this study provide a better understanding of the genetic architecture underlying dairy cow performance under heat stress conditions. Our findings point out novel opportunities for improving thermotolerance in dairy cattle through marker-assisted breeding. © Copyright © 2019 Sigdel, Abdollahi-Arpanahi, Aguilar and Peñagaricano.
653 $aGene-set analysis
653 $aGenetic parameters
653 $aGenomic scan
653 $aHeat-shock proteins
653 $aThermotolerance
700 1 $aABDOLLAHI-ARPANAHI, R.
700 1 $aAGUILAR, I.
700 1 $aPEÑAGARICANO, F.
773 $tFrontiers in Genetics, 4 October 2019, Volume 10, Article number 928. OPEN ACCESS. Doi: https://doi.org/10.3389/fgene.2019.00928
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