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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
31/01/2020 |
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Actualizado : |
31/01/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
ALMEIDA, T.H.S.; ALBUQUERQUE, R.; ALMEIDA, V.M.; SILVA FILHO, G.B.; CHAVES, H.A.; FREITAS, S.H.; RIET-CORREA, F.; MENDONÇA, F.S. |
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Afiliación : |
THAIS H.S. ALMEIDA, Universidade Federal Rural de Pernambuco, Recife, PE, Brazil; RAQUEL F. ALBUQUERQUE, Universidade Federal Rural de Pernambuco, Recife, PE, Brazil; VALDIR M. ALMEIDA, Universidade Federal Rural de Pernambuco, Recife, PE, Brazil; GIVALDO B. SILVA FILHO, Departamento de Medicina Veterinária, Universidade Federal Rural de Pernambuco, Recife, PE, Brazil; HISADORA A. CHAVES, Departamento de Medicina Veterinária, Universidade Federal Rural de Pernambuco, Recife, PE, Brazil; SÍLVIO H. FREITAS, Faculdade de Medicina Veterinária (FMV), Universidade de Cuiabá (Unic), Cuiabá, MT, Brazil; FRANKLIN RIET-CORREA AMARAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FÁBIO S. MENDONÇA, Laboratório de Diagnóstico Animal, Departamento de Morfologia e Fisiologia Animal, Universidade Federal, Rural de Pernambuco, Recife, PE, Brazil. |
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Título : |
Poisoning by Thiloa glaucocarpa (Combretaceae) in cattle in the semiarid regions of Paraíba and Pernambuco, Brazil. |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
Brazilian Journal of Veterinary Pathology, November 2017, Volume 10, Issue 3, Pages 111-116. OPEN ACCESS |
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ISSN : |
1983-0246 |
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DOI : |
10.24070/bjvp.1983-0246.v10i3p111-116 |
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Idioma : |
Inglés |
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Notas : |
Article history: Submitted July 5, 2017 / Accepted August 13. 2017. |
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Contenido : |
ABSTRACT.
The aim of this study was to describe the epidemiological, clinical and pathological aspects of spontaneous poisoning by Thiloa glaucocarpa in cattle in the semiarid region of Paraíba and Pernambuco, Brazil. Eight adult cattle were examined and of those, five were necropsied. The main clinical signs consisted of dehydration, dry nose, ascites and subcutaneous edema. Renal function tests resulted in significant changes. The gross macroscopy consisted of significant fluid accumulation in the abdominal and thorax cavities, and edema of lungs, subcutaneous tissues, perirenal tissue and abomasal folds. Histologically, the main lesions consisted of epithelial coagulation necrosis of renal convoluted tubules with presence of amorphous eosinophilic material in the lumen of the tubules. The diagnosis of poisoning by T. glaucocarpa was based on epidemiological data, clinical signs, necropsy findings, histopathological evaluation, renal serum biochemistry and plant identification in the areas of cattle pastures. After the start of the rainy season in this region, T. glaucocarpa is the main toxic plant responsible for significant economic losses. Since there is no effective treatment for animals with renal failure, it is recommended that the animals must be removed from the areas where the plant grows in the period immediately after the first rain. © 2017, Brazilian Association of Veterinary Pathology. All Rights Reserved. |
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Palabras claves : |
Cattle; Nephrosis; Plant poisoning; Thiloa glaucocarpa. |
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Asunto categoría : |
L73 Enfermedades de los animales |
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URL : |
http://bjvp.org.br/wp-content/uploads/2017/11/v10-n3-4.pdf
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Marc : |
LEADER 02419naa a2200289 a 4500
001 1060734
005 2020-01-31
008 2017 bl uuuu u00u1 u #d
022 $a1983-0246
024 7 $a10.24070/bjvp.1983-0246.v10i3p111-116$2DOI
100 1 $aALMEIDA, T.H.S.
245 $aPoisoning by Thiloa glaucocarpa (Combretaceae) in cattle in the semiarid regions of Paraíba and Pernambuco, Brazil.$h[electronic resource]
260 $c2017
500 $aArticle history: Submitted July 5, 2017 / Accepted August 13. 2017.
520 $aABSTRACT. The aim of this study was to describe the epidemiological, clinical and pathological aspects of spontaneous poisoning by Thiloa glaucocarpa in cattle in the semiarid region of Paraíba and Pernambuco, Brazil. Eight adult cattle were examined and of those, five were necropsied. The main clinical signs consisted of dehydration, dry nose, ascites and subcutaneous edema. Renal function tests resulted in significant changes. The gross macroscopy consisted of significant fluid accumulation in the abdominal and thorax cavities, and edema of lungs, subcutaneous tissues, perirenal tissue and abomasal folds. Histologically, the main lesions consisted of epithelial coagulation necrosis of renal convoluted tubules with presence of amorphous eosinophilic material in the lumen of the tubules. The diagnosis of poisoning by T. glaucocarpa was based on epidemiological data, clinical signs, necropsy findings, histopathological evaluation, renal serum biochemistry and plant identification in the areas of cattle pastures. After the start of the rainy season in this region, T. glaucocarpa is the main toxic plant responsible for significant economic losses. Since there is no effective treatment for animals with renal failure, it is recommended that the animals must be removed from the areas where the plant grows in the period immediately after the first rain. © 2017, Brazilian Association of Veterinary Pathology. All Rights Reserved.
653 $aCattle
653 $aNephrosis
653 $aPlant poisoning
653 $aThiloa glaucocarpa
700 1 $aALBUQUERQUE, R.
700 1 $aALMEIDA, V.M.
700 1 $aSILVA FILHO, G.B.
700 1 $aCHAVES, H.A.
700 1 $aFREITAS, S.H.
700 1 $aRIET-CORREA, F.
700 1 $aMENDONÇA, F.S.
773 $tBrazilian Journal of Veterinary Pathology, November 2017, Volume 10, Issue 3, Pages 111-116. OPEN ACCESS
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Registro original : |
INIA Las Brujas (LB) |
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
06/12/2019 |
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Actualizado : |
05/09/2022 |
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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 : |
BERRO, I.; LADO, B.; NALIN, R.S.; QUINCKE, M.; GUTIÉRREZ, L. |
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Afiliación : |
Dep. of Agronomy, Univ. of Wisconsin, Madison, USA.; Facultad de Agronomía, Univ. de la República, Montevideo, Uruguay.; Dep. of Agronomy, Univ. of Wisconsin, Madison, USA.; MARTIN CONRADO QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Dep. of Agronomy, Univ. of Wisconsin, Madison, USA./ Facultad de Agronomía, Univ. de la República, Montevideo, Uruguay. |
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Título : |
Training population optimization for genomic selection. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Plant Genome, November 2019, Volume 12, Issue 3, Article number 190028. OPEN ACCESS. DOI: https://doi.org/10.3835/plantgenome2019.04.0028 |
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DOI : |
10.3835/plantgenome2019.04.0028 |
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Idioma : |
Inglés |
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Notas : |
Article histoty: Received 1 Apr. 2019. /Accepted 23 Sept. 2019. |
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Contenido : |
ABSTRACT :The effectiveness of genomic selection in breeding programs depends on the phenotypic quality and depth, the
prediction model, the number and type of molecular markers, and the size and composition of the training population (TR).
Furthermore, population structure and diversity have a key role in the composition of the optimal training sets. Our goal was
to compare strategies for optimizing the TR for specific testing populations (TE). A total of 1353 wheat (Triticum aestivum
L.) and 644 rice (Oryza sativa L.) advanced lines were evaluated for grain yield in multiple environments. Several within-TR optimization
strategies were compared to identify groups of individuals with increased predictive ability. Additionally, optimization strategies
to choose individuals from the TR with higher predictive ability for a specific TE were compared. There is a benefit in considering
both the population structure and the relationship between the TR and the TE when designing an optimal TR for genomic
selection. A weighted relationship matrix with stratified sampling is the best strategy for forward predictions of quantitative traits in
populations several generations apart. Genomic selection (GS) consists of selecting individuals from a TE on the basis of genotypic values predicted from their genome-wide molecular marker scores and a statistical model adjusted with individuals that have phenotypic and genotypic information (Meuwissen et al., 2001). The group of individuals that were phenotyped and genotyped is called the TR (Heffner et al. 2009). MenosABSTRACT :The effectiveness of genomic selection in breeding programs depends on the phenotypic quality and depth, the
prediction model, the number and type of molecular markers, and the size and composition of the training population (TR).
Furthermore, population structure and diversity have a key role in the composition of the optimal training sets. Our goal was
to compare strategies for optimizing the TR for specific testing populations (TE). A total of 1353 wheat (Triticum aestivum
L.) and 644 rice (Oryza sativa L.) advanced lines were evaluated for grain yield in multiple environments. Several within-TR optimization
strategies were compared to identify groups of individuals with increased predictive ability. Additionally, optimization strategies
to choose individuals from the TR with higher predictive ability for a specific TE were compared. There is a benefit in considering
both the population structure and the relationship between the TR and the TE when designing an optimal TR for genomic
selection. A weighted relationship matrix with stratified sampling is the best strategy for forward predictions of quantitative traits in
populations several generations apart. Genomic selection (GS) consists of selecting individuals from a TE on the basis of genotypic values predicted from their genome-wide molecular marker scores and a statistical model adjusted with individuals that have phenotypic and genotypic information (Meuwissen et al., 2001). The group of individ... Presentar Todo |
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Palabras claves : |
GENOMIC SELECTION; SELECCIÓN GENÓMICA. |
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Thesagro : |
TRIGO; TRITICUM AESTIVUM. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16707/1/The-Plant-Genome-2019-Berro-Training-Population-Optimization-for-Genomic-Selection.pdf
https://acsess.onlinelibrary.wiley.com/doi/epdf/10.3835/plantgenome2019.04.0028
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Marc : |
LEADER 02385naa a2200241 a 4500
001 1060511
005 2022-09-05
008 2019 bl uuuu u00u1 u #d
024 7 $a10.3835/plantgenome2019.04.0028$2DOI
100 1 $aBERRO, I.
245 $aTraining population optimization for genomic selection.$h[electronic resource]
260 $c2019
500 $aArticle histoty: Received 1 Apr. 2019. /Accepted 23 Sept. 2019.
520 $aABSTRACT :The effectiveness of genomic selection in breeding programs depends on the phenotypic quality and depth, the prediction model, the number and type of molecular markers, and the size and composition of the training population (TR). Furthermore, population structure and diversity have a key role in the composition of the optimal training sets. Our goal was to compare strategies for optimizing the TR for specific testing populations (TE). A total of 1353 wheat (Triticum aestivum L.) and 644 rice (Oryza sativa L.) advanced lines were evaluated for grain yield in multiple environments. Several within-TR optimization strategies were compared to identify groups of individuals with increased predictive ability. Additionally, optimization strategies to choose individuals from the TR with higher predictive ability for a specific TE were compared. There is a benefit in considering both the population structure and the relationship between the TR and the TE when designing an optimal TR for genomic selection. A weighted relationship matrix with stratified sampling is the best strategy for forward predictions of quantitative traits in populations several generations apart. Genomic selection (GS) consists of selecting individuals from a TE on the basis of genotypic values predicted from their genome-wide molecular marker scores and a statistical model adjusted with individuals that have phenotypic and genotypic information (Meuwissen et al., 2001). The group of individuals that were phenotyped and genotyped is called the TR (Heffner et al. 2009).
650 $aTRIGO
650 $aTRITICUM AESTIVUM
653 $aGENOMIC SELECTION
653 $aSELECCIÓN GENÓMICA
700 1 $aLADO, B.
700 1 $aNALIN, R.S.
700 1 $aQUINCKE, M.
700 1 $aGUTIÉRREZ, L.
773 $tPlant Genome, November 2019, Volume 12, Issue 3, Article number 190028. OPEN ACCESS. DOI: https://doi.org/10.3835/plantgenome2019.04.0028
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