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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
30/11/2020 |
Actualizado : |
27/01/2021 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
DO CARMO, P.M.S.; UZAL, F.A.; RIET-CORREA, F. |
Afiliación : |
PRISCILA M. S. DO CARMO, Hospital Veterinário, Centro de Saúde e Tecnologia Rural (CSTR), Universidade Federal de Campina Grande (UFCG), Patos, Brazil.; FRANCISCO A. UZAL, California Animal Health and Food Safety Laboratory, University of California-Davis, San Bernardino, CA; FRANKLIN RIET-CORREA AMARAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Diseases caused by Pythium insidiosum in sheep and goats: a review. |
Fecha de publicación : |
2021 |
Fuente / Imprenta : |
Journal of Veterinary Diagnostic Investigation, 2021, volumen 33, number 1, pag.2-24. Doi: https://doi.org/10.1177%2F1040638720968937 |
DOI : |
10.1177%2F1040638720968937 |
Idioma : |
Inglés |
Notas : |
Article history: Article first published online: November 6, 2020 |
Contenido : |
Abstract:Pythiosis is characterized most commonly by ulcerative dermatitis, mainly in the limbs of sheep and occasionally of goats. In sheep, Pythium insidiosum is also responsible for necrotizing rhinitis characterized by marked enlargement and deformity of the nasal region, severe respiratory difficulty, and bloody nasal discharge. A third form of pythiosis in sheep affects the digestive tract, involving ulceration of the esophagus, forestomachs, and abomasum. Pythiosis in sheep and goats has been reported only in Brazil where it occurs mainly in the semiarid region of the country, when animals congregate and stay for longer periods of time within or around water reservoirs. However, it has been reported as well in areas of humid environments, such as the Pantanal of Mato Grosso and in the Brazilian Cerrado. The diagnosis of the different presentations of pythiosis is based on gross and microscopic findings, coupled with detection of the agent by immunohistochemical, molecular, and/or culture-based methods. |
Palabras claves : |
BRAZIL; GOATS; PLATAFORMA DE SALUD ANIMAL; PYTHIOSIS; PYTHIUM INSIDIOSUM; SHEEP. |
Thesagro : |
OVEJA. |
Asunto categoría : |
L73 Enfermedades de los animales |
Marc : |
LEADER 01856naa a2200253 a 4500 001 1061530 005 2021-01-27 008 2021 bl uuuu u00u1 u #d 024 7 $a10.1177%2F1040638720968937$2DOI 100 1 $aDO CARMO, P.M.S. 245 $aDiseases caused by Pythium insidiosum in sheep and goats$ba review.$h[electronic resource] 260 $c2021 500 $aArticle history: Article first published online: November 6, 2020 520 $aAbstract:Pythiosis is characterized most commonly by ulcerative dermatitis, mainly in the limbs of sheep and occasionally of goats. In sheep, Pythium insidiosum is also responsible for necrotizing rhinitis characterized by marked enlargement and deformity of the nasal region, severe respiratory difficulty, and bloody nasal discharge. A third form of pythiosis in sheep affects the digestive tract, involving ulceration of the esophagus, forestomachs, and abomasum. Pythiosis in sheep and goats has been reported only in Brazil where it occurs mainly in the semiarid region of the country, when animals congregate and stay for longer periods of time within or around water reservoirs. However, it has been reported as well in areas of humid environments, such as the Pantanal of Mato Grosso and in the Brazilian Cerrado. The diagnosis of the different presentations of pythiosis is based on gross and microscopic findings, coupled with detection of the agent by immunohistochemical, molecular, and/or culture-based methods. 650 $aOVEJA 653 $aBRAZIL 653 $aGOATS 653 $aPLATAFORMA DE SALUD ANIMAL 653 $aPYTHIOSIS 653 $aPYTHIUM INSIDIOSUM 653 $aSHEEP 700 1 $aUZAL, F.A. 700 1 $aRIET-CORREA, F. 773 $tJournal of Veterinary Diagnostic Investigation, 2021, volumen 33, number 1, pag.2-24. Doi: https://doi.org/10.1177%2F1040638720968937
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INIA La Estanzuela (LE) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas; INIA Treinta y Tres. |
Fecha actual : |
12/03/2019 |
Actualizado : |
12/03/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
QUERO, G.; GUTIÉRREZ, L.; MONTEVERDE, E.; BLANCO, P.H.; PÉREZ DE VIDA, F.; ROSAS, J.E.; FERNANDEZ, S.; GARAYCOCHEA, S.; MC COUCH, S.; BERBERIAN, N.; SIMONDI, S.; BONNECARRERE, V. |
Afiliación : |
GASTÓN QUERO CORRALLO, Universidad de la República (UdelaR)/ Facultad de Agronomía; INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUCÍA GUTIÉRREZ, Dep. of Agronomy, Univ. of Wisconsin-Madison, United States.; Universidad de la República (UdelaR)/ Facultad de Agronomía; ELIANA MONTEVERDE, Dep. of Plant Breeding and Genetics, Cornell Univ., United States; PEDRO HORACIO BLANCO BARRAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO BLAS PEREZ DE VIDA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JUAN EDUARDO ROSAS CAISSIOLS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SCHUBERT DANIEL FERNANDEZ REGGIARDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SILVIA RAQUEL GARAYCOCHEA SOLSONA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SUSAN MCCOUCH, Dep. of Plant Breeding and Genetics, Cornell Univ., United States; NATALIA BERBERIAN, Universidad de la República (UdelaR)/ Facultad de Agronomía; SEBASTIÁN SIMONDI, College of Natural and Exact Sciences, Univ. Nacional de Cuyo, Argentina; MARIA VICTORIA BONNECARRERE MARTINEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Genome-wide association study using historical breeding populations discovers genomic regions involved in high-quality rice. |
Fecha de publicación : |
2018 |
Fuente / Imprenta : |
Plant Genome, 2018, Volume 11, Article number 170076. Open Access. |
ISSN : |
1940-3372 |
DOI : |
10.3835/plantgenome2017.08.0076 |
Idioma : |
Inglés |
Notas : |
Article history: Received: Aug 25, 2017 // Accepted: Apr 09, 2018 // Published: July 12, 2018.
Permissions: This is an open access article under the CC BY-NC-ND license. Proper attribution is required for reuse. No permissions are needed for reuse unless it is derivative or for commercial purposes. |
Contenido : |
Abstract.
Rice (Oryza sativa L.) is one of the most important staple food crops in the world; however, there has recently been a shift in consumer demand for higher grain quality. Therefore, understanding the genetic architecture of grain quality has become a key objective of rice breeding programs. Genomewide association studies (GWAS) using large diversity panels have successfully identified genomic regions associated with complex traits in diverse crop species. Our main objective was to identify genomic regions associated with grain quality and to identify and characterize favorable haplotypes for selection. We used two locally adapted rice breeding populations and historical phenotypic data for three rice quality traits: yield after milling, percentage of head rice recovery, and percentage of chalky grain. We detected 22 putative quantitative trait loci (QTL) in the same genomic regions as starch synthesis, starch metabolism, and cell wall synthesis-related genes are found. Additionally, we found a genomic region on chromosome 6 in the tropical japonica population that was associated with all quality traits and we identified favorable haplotypes. Furthermorethis region is linked to the OsBEI gene that codes for a starch branching enzyme I, which is implicated in starch granule formation. In tropical japonica, we also found two putative QTL linked to OsBEII, OsDEP1, and OsDEP2. Our study provides an insight into the genetic basis of rice grain chalkiness, yield after milling, and head rice, identifying favorable haplotypes and molecular markers for selection in breeding programs.
© 2018 Crop Science Society of America MenosAbstract.
Rice (Oryza sativa L.) is one of the most important staple food crops in the world; however, there has recently been a shift in consumer demand for higher grain quality. Therefore, understanding the genetic architecture of grain quality has become a key objective of rice breeding programs. Genomewide association studies (GWAS) using large diversity panels have successfully identified genomic regions associated with complex traits in diverse crop species. Our main objective was to identify genomic regions associated with grain quality and to identify and characterize favorable haplotypes for selection. We used two locally adapted rice breeding populations and historical phenotypic data for three rice quality traits: yield after milling, percentage of head rice recovery, and percentage of chalky grain. We detected 22 putative quantitative trait loci (QTL) in the same genomic regions as starch synthesis, starch metabolism, and cell wall synthesis-related genes are found. Additionally, we found a genomic region on chromosome 6 in the tropical japonica population that was associated with all quality traits and we identified favorable haplotypes. Furthermorethis region is linked to the OsBEI gene that codes for a starch branching enzyme I, which is implicated in starch granule formation. In tropical japonica, we also found two putative QTL linked to OsBEII, OsDEP1, and OsDEP2. Our study provides an insight into the genetic basis of rice grain chalkiness, yield after mil... Presentar Todo |
Palabras claves : |
FOOD GRAIN; GENETIC SELECTION; GENETIC VARIATION; GENETICS; MILLED RICE; PLANT BREEDING. |
Thesagro : |
ORYZA SATIVA; RICE. |
Asunto categoría : |
F01 Cultivo |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12507/1/tpg-11-3-170076.pdf
https://dl.sciencesocieties.org/publications/tpg/abstracts/11/3/170076
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Marc : |
LEADER 03044naa a2200385 a 4500 001 1059613 005 2019-03-12 008 2018 bl uuuu u00u1 u #d 022 $a1940-3372 024 7 $a10.3835/plantgenome2017.08.0076$2DOI 100 1 $aQUERO, G. 245 $aGenome-wide association study using historical breeding populations discovers genomic regions involved in high-quality rice.$h[electronic resource] 260 $c2018 500 $aArticle history: Received: Aug 25, 2017 // Accepted: Apr 09, 2018 // Published: July 12, 2018. Permissions: This is an open access article under the CC BY-NC-ND license. Proper attribution is required for reuse. No permissions are needed for reuse unless it is derivative or for commercial purposes. 520 $aAbstract. Rice (Oryza sativa L.) is one of the most important staple food crops in the world; however, there has recently been a shift in consumer demand for higher grain quality. Therefore, understanding the genetic architecture of grain quality has become a key objective of rice breeding programs. Genomewide association studies (GWAS) using large diversity panels have successfully identified genomic regions associated with complex traits in diverse crop species. Our main objective was to identify genomic regions associated with grain quality and to identify and characterize favorable haplotypes for selection. We used two locally adapted rice breeding populations and historical phenotypic data for three rice quality traits: yield after milling, percentage of head rice recovery, and percentage of chalky grain. We detected 22 putative quantitative trait loci (QTL) in the same genomic regions as starch synthesis, starch metabolism, and cell wall synthesis-related genes are found. Additionally, we found a genomic region on chromosome 6 in the tropical japonica population that was associated with all quality traits and we identified favorable haplotypes. Furthermorethis region is linked to the OsBEI gene that codes for a starch branching enzyme I, which is implicated in starch granule formation. In tropical japonica, we also found two putative QTL linked to OsBEII, OsDEP1, and OsDEP2. Our study provides an insight into the genetic basis of rice grain chalkiness, yield after milling, and head rice, identifying favorable haplotypes and molecular markers for selection in breeding programs. © 2018 Crop Science Society of America 650 $aORYZA SATIVA 650 $aRICE 653 $aFOOD GRAIN 653 $aGENETIC SELECTION 653 $aGENETIC VARIATION 653 $aGENETICS 653 $aMILLED RICE 653 $aPLANT BREEDING 700 1 $aGUTIÉRREZ, L. 700 1 $aMONTEVERDE, E. 700 1 $aBLANCO, P.H. 700 1 $aPÉREZ DE VIDA, F. 700 1 $aROSAS, J.E. 700 1 $aFERNANDEZ, S. 700 1 $aGARAYCOCHEA, S. 700 1 $aMC COUCH, S. 700 1 $aBERBERIAN, N. 700 1 $aSIMONDI, S. 700 1 $aBONNECARRERE, V. 773 $tPlant Genome, 2018, Volume 11, Article number 170076. Open Access.
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