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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
14/06/2022 |
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Actualizado : |
14/06/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
JARA, E.; PEÑAGARICANO, F.; ARMSTRONG, E.; CIAPPESONI, G.; IRIARTE, A.; NAVAJAS, E. |
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Afiliación : |
EUGENIO JARA, Unidad de Genética y Mejora Animal, Departamento de Producción Animal, Facultad de Veterinaria, Universidad de la República, Montevideo 11600, Uruguay; FRANCISCO PEÑAGARICANO, Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706, United State; EILEEN ARMSTRONG, Unidad de Genética y Mejora Animal, Departamento de Producción Animal, Facultad de Veterinaria, Universidad de la República, 11600, Montevideo, Uruguay; CARLOS GABRIEL CIAPPESONI SCARONE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDRÉS IRIARTE, Laboratorio de Biología Computacional, Departamento de Desarrollo Biotecnológico, Instituto de Higiene, Facultad de Medicina, Universidad de la República, 11600, Montevideo, Uruguay; ELLY ANA NAVAJAS VALENTINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Revealing the genetic basis of eyelid pigmentation in Hereford cattle. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Journal of Animal Science, 2022, Volume 100, Issue 5. doi: https://doi.org/10.1093/jas/skac110 |
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ISSN : |
1525-3163 |
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DOI : |
10.1093/jas/skac110 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received December 14, 2021; Accepted April 4, 2022; Advance access publication 7 April 2022.
Corresponding author: Eugenio Jara, email: eugeniojara19@gmail.com -- |
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Contenido : |
ABSTRACT - Ocular squamous cell carcinoma and infectious keratoconjunctivitis are common ocular pathologies in Hereford cattle with considerable economic impact. Both pathologies have been associated with low eyelid pigmentation, and thus, genetic selection for higher eyelid pigmentation could reduce their incidence. The objective of the present study was to reveal the genetic basis of eyelid pigmentation in Hereford cattle. The analysis included a single-step genome-wide association study (ssGWAS) and a subsequent gene-set analysis in order to identify individual genes, genetic mechanisms, and biological pathways implicated in this trait. Data consisted of eyelid pigmentation records in 1,165 Hereford bulls and steers, visually assessed in five categories between 0% and 100%. Genotypic data for 774,660 single-nucleotide polymorphism markers were available for 886 animals with pigmentation records. Pedigree information of three generations of ancestors of animals with phenotype was considered in this study, with a total of 4,929 animals. Our analyses revealed that eyelid pigmentation is a moderately heritable trait, with heritability estimates around 0.41. The ssGWAS identified at least eight regions, located on BTA1, BTA3, BTA5, BTA14, BTA16, BTA18, BTA19, and BTA24, associated with eyelid pigmentation. These regions harbor genes that are directly implicated in melanocyte biology and skin pigmentation, such as ADCY8, PLD1, KITLG, and PRKCA. The gene-set analysis revealed several functional terms closely related to melanogenesis, such as positive regulation of melanocyte differentiation and regulation of ERK1 and ERK2 cascade. Overall, our findings provide evidence that eyelid pigmentation is a heritable trait influenced by many loci. Indeed, the ssGWAS detected several candidate genes that are directly implicated in melanocyte biology, including melanogenesis. This study contributes to a better understanding of the genetic and biological basis of eyelid pigmentation and presents novel information that could aid to design breeding strategies for reducing the incidence of ocular pathologies in cattle. Additional research on the genetic link between eyelid pigmentation and ocular pathologies is needed. © The Author(s) 2022. MenosABSTRACT - Ocular squamous cell carcinoma and infectious keratoconjunctivitis are common ocular pathologies in Hereford cattle with considerable economic impact. Both pathologies have been associated with low eyelid pigmentation, and thus, genetic selection for higher eyelid pigmentation could reduce their incidence. The objective of the present study was to reveal the genetic basis of eyelid pigmentation in Hereford cattle. The analysis included a single-step genome-wide association study (ssGWAS) and a subsequent gene-set analysis in order to identify individual genes, genetic mechanisms, and biological pathways implicated in this trait. Data consisted of eyelid pigmentation records in 1,165 Hereford bulls and steers, visually assessed in five categories between 0% and 100%. Genotypic data for 774,660 single-nucleotide polymorphism markers were available for 886 animals with pigmentation records. Pedigree information of three generations of ancestors of animals with phenotype was considered in this study, with a total of 4,929 animals. Our analyses revealed that eyelid pigmentation is a moderately heritable trait, with heritability estimates around 0.41. The ssGWAS identified at least eight regions, located on BTA1, BTA3, BTA5, BTA14, BTA16, BTA18, BTA19, and BTA24, associated with eyelid pigmentation. These regions harbor genes that are directly implicated in melanocyte biology and skin pigmentation, such as ADCY8, PLD1, KITLG, and PRKCA. The gene-set analysis revealed se... Presentar Todo |
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Palabras claves : |
Beef cattle; Melanocyte biology; Ocular pathologies. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 03180naa a2200253 a 4500
001 1063291
005 2022-06-14
008 2022 bl uuuu u00u1 u #d
022 $a1525-3163
024 7 $a10.1093/jas/skac110$2DOI
100 1 $aJARA, E.
245 $aRevealing the genetic basis of eyelid pigmentation in Hereford cattle.$h[electronic resource]
260 $c2022
500 $aArticle history: Received December 14, 2021; Accepted April 4, 2022; Advance access publication 7 April 2022. Corresponding author: Eugenio Jara, email: eugeniojara19@gmail.com --
520 $aABSTRACT - Ocular squamous cell carcinoma and infectious keratoconjunctivitis are common ocular pathologies in Hereford cattle with considerable economic impact. Both pathologies have been associated with low eyelid pigmentation, and thus, genetic selection for higher eyelid pigmentation could reduce their incidence. The objective of the present study was to reveal the genetic basis of eyelid pigmentation in Hereford cattle. The analysis included a single-step genome-wide association study (ssGWAS) and a subsequent gene-set analysis in order to identify individual genes, genetic mechanisms, and biological pathways implicated in this trait. Data consisted of eyelid pigmentation records in 1,165 Hereford bulls and steers, visually assessed in five categories between 0% and 100%. Genotypic data for 774,660 single-nucleotide polymorphism markers were available for 886 animals with pigmentation records. Pedigree information of three generations of ancestors of animals with phenotype was considered in this study, with a total of 4,929 animals. Our analyses revealed that eyelid pigmentation is a moderately heritable trait, with heritability estimates around 0.41. The ssGWAS identified at least eight regions, located on BTA1, BTA3, BTA5, BTA14, BTA16, BTA18, BTA19, and BTA24, associated with eyelid pigmentation. These regions harbor genes that are directly implicated in melanocyte biology and skin pigmentation, such as ADCY8, PLD1, KITLG, and PRKCA. The gene-set analysis revealed several functional terms closely related to melanogenesis, such as positive regulation of melanocyte differentiation and regulation of ERK1 and ERK2 cascade. Overall, our findings provide evidence that eyelid pigmentation is a heritable trait influenced by many loci. Indeed, the ssGWAS detected several candidate genes that are directly implicated in melanocyte biology, including melanogenesis. This study contributes to a better understanding of the genetic and biological basis of eyelid pigmentation and presents novel information that could aid to design breeding strategies for reducing the incidence of ocular pathologies in cattle. Additional research on the genetic link between eyelid pigmentation and ocular pathologies is needed. © The Author(s) 2022.
653 $aBeef cattle
653 $aMelanocyte biology
653 $aOcular pathologies
700 1 $aPEÑAGARICANO, F.
700 1 $aARMSTRONG, E.
700 1 $aCIAPPESONI, G.
700 1 $aIRIARTE, A.
700 1 $aNAVAJAS, E.
773 $tJournal of Animal Science, 2022, Volume 100, Issue 5. doi: https://doi.org/10.1093/jas/skac110
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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
28/10/2024 |
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Actualizado : |
28/10/2024 |
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Tipo de producción científica : |
Artículos Indexados |
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Autor : |
LENA, H.; CAL, A.; PRECIOZZI, J. |
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Afiliación : |
HORACIO LENA, Universidad de la República, Facultad de Ingeniería, Facultad de Ciencias Sociales, Uruguay; ADRIAN TABARE CAL ALVAREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JAVIER PRECIOZZI, Universidad de la República, Facultad de Ingeniería Digital Sense, Uruguay. |
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Título : |
Sentinel-2 analysis for classification of winter crops in Uruguay. [Conference paper]. |
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Fecha de publicación : |
2024 |
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Fuente / Imprenta : |
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp.4819-4823. https://doi.org/10.1109/IGARSS53475.2024.10641161 |
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ISBN : |
979-835036032-5 |
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Idioma : |
Inglés |
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Notas : |
Correspondence: Lena, H.; Universidad de la República, Facultad de Ingeniería, Facultad de Ciencias Sociales, Uruguay; email:horacio.lena@cienciassociales.edu.uy -- Publisher: Institute of Electrical and Electronics Engineers Inc. -- Sponsors: The Institute of Electrical and Electronics Engineers, Geoscience and Remote Sensing Society (GRSS). -- |
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Contenido : |
ABSTRACT.- Crop type classification with satellite imageries is widely applied to support sustainable agricultural practices and for continuous crop monitoring [1], [2], [3]. In this work, we present a study for the classification of winter crops on a nationwide perspective for Uruguay. We have analyzed Uruguay's three most widely extended winter crops: wheat, barley, and rapeseed. We have trained a classifier based on XGBoost that uses temporal series built from Sentinel-2 image data. For training, we used the information from previous years and reported the results the following year. To our knowledge, this is the first work that proposes a clear and systematic way to classify winter crops in Uruguay based on historical data without needing samples of the actual year. We have obtained high precision and recall values for rapeseed and results comparable with other regions' work for wheat and barley. © 2024 IEEE. |
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Palabras claves : |
Crop classification; Decent work and economic growth - Goal 8; Remote sensing; Responsible consumption and production - Goal 12; SISTEMAS DE INFORMACIÓN Y TRANSFORMACIÓN DIGITAL - INIA; Sustainable Development Goals (SDGs); XGBoost; Zero hunger - Goal 2. |
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Asunto categoría : |
P40 Meteorología y climatología |
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Marc : |
LEADER 02234nam a2200253 a 4500
001 1064899
005 2024-10-28
008 2024 bl uuuu u01u1 u #d
020 $a979-835036032-5
100 1 $aLENA, H.
245 $aSentinel-2 analysis for classification of winter crops in Uruguay. [Conference paper].$h[electronic resource]
260 $aIGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp.4819-4823. https://doi.org/10.1109/IGARSS53475.2024.10641161$c2024
500 $aCorrespondence: Lena, H.; Universidad de la República, Facultad de Ingeniería, Facultad de Ciencias Sociales, Uruguay; email:horacio.lena@cienciassociales.edu.uy -- Publisher: Institute of Electrical and Electronics Engineers Inc. -- Sponsors: The Institute of Electrical and Electronics Engineers, Geoscience and Remote Sensing Society (GRSS). --
520 $aABSTRACT.- Crop type classification with satellite imageries is widely applied to support sustainable agricultural practices and for continuous crop monitoring [1], [2], [3]. In this work, we present a study for the classification of winter crops on a nationwide perspective for Uruguay. We have analyzed Uruguay's three most widely extended winter crops: wheat, barley, and rapeseed. We have trained a classifier based on XGBoost that uses temporal series built from Sentinel-2 image data. For training, we used the information from previous years and reported the results the following year. To our knowledge, this is the first work that proposes a clear and systematic way to classify winter crops in Uruguay based on historical data without needing samples of the actual year. We have obtained high precision and recall values for rapeseed and results comparable with other regions' work for wheat and barley. © 2024 IEEE.
653 $aCrop classification
653 $aDecent work and economic growth - Goal 8
653 $aRemote sensing
653 $aResponsible consumption and production - Goal 12
653 $aSISTEMAS DE INFORMACIÓN Y TRANSFORMACIÓN DIGITAL - INIA
653 $aSustainable Development Goals (SDGs)
653 $aXGBoost
653 $aZero hunger - Goal 2
700 1 $aCAL, A.
700 1 $aPRECIOZZI, J.
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