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Biblioteca (s) :  INIA La Estanzuela.
Fecha :  10/08/2020
Actualizado :  05/09/2022
Tipo de producción científica :  Artículos en Revistas Indexadas Internacionales
Autor :  BHATTA, M.; GUTIERREZ, L.; CAMMAROTA, L.; CARDOZO, F.; GERMAN, S.; GÓMEZ-GUERRERO, B.; PARDO, M.F.; LANARO, V.; SAYAS, M.; CASTRO, A.J.
Afiliación :  MADHAV BHATTA, Department of Agronomy, University of Wisconsin-Madison, 1575 Linden Dr., WI, 53706, USA.; LUCIA GUTIERREZ, Agronomy, University of Wisconsin-Madison, 1575 Linden Dr., WI, 53706, USA.; LORENA CAMMAROTA, Department of plant production, Facultad de Agronomía, Universidad de la República, Ruta 3, Km363, Paysandú 60000, Uruguay./Maltería Uruguay S.A. Ruta 55, Km26, Ombúes de Lavalle, Uruguay.; FERNANDA CARDOZO, Maltería Uruguay S.A. Ruta 55, Km26, Ombúes de Lavalle, Uruguay.; SILVIA ELISA GERMAN FAEDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; BLANCA GÓMEZ-GUERRERO, LATU Foundation, Av Italia 6201, Montevideo 11500, Uruguay.; MARÍA FERNANDA PARDO, Maltería Oriental S.A., Camino Abrevadero 5525, Montevideo 12400, Uruguay.; VALERIA LANARO, LATU Foundation, Av Italia 6201, Montevideo 11500, Uruguay.; MERCEDES SAYAS, Maltería Oriental S.A., Camino Abrevadero 5525, Montevideo 12400, Uruguay.; ARIEL J. CASTRO, Ariel J. Castro ?Department of plant production, Facultad de Agronomía, Universidad de la República, Ruta 3, Km363, Paysandú 60000, Uruguay,.
Título :  Multi-trait genomic prediction model increased the predictive ability for agronomic and malting quality traits in barley (Hordeum vulgare L.).
Fecha de publicación :  2020
Fuente / Imprenta :  G3: Genes, Genomes, Genetics, March 1, 2020 vol. 10 no. 3 1113-1124. Open Acces. Doi: https://doi.org/10.1534/g3.119.400968
DOI :  10.1534/g3.119.400968
Idioma :  Inglés
Notas :  Article history: Received July 26, 2019/Accepted January 22, 2020/Published online March 5, 2020. This work was funded in part by the following grants from ANII (FSA-1-2013-12977), CSIC (CSIC_I+D_ 1131 and CSIC_Movilidad_ 1131). The work was also funded by the Cereals Breeding and Quantitative Genetics group at the University of Wisconsin - Madison. We would like to acknowledge Dr. Juan Diaz at INIA, who developed the double haploid population and also contributed to the planning of the study. Malteria Oriental S.A. (MOSA) contributed with the experiments in their experimental areas and with some of the lab work. Malteria Uruguay S.A. (MUSA) contributed to the experiments in their experimental areas. We would also like to acknowledge: USDA-ARS small grains genotyping lab at Fargo, North Dakota for genotyping service; the Center for High Throughput Computing (CHTC) service at the University of Wisconsin-Madison for providing the high-performance computing resources; and Dr. Bettina Lado for sharing the R scripts. We would like to thank two anonymous reviewers and editors who provided constructive suggestions to this manuscript.
Contenido :  Abstract: Plant breeders regularly evaluate multiple traits across multiple environments, which opens an avenue for using multiple traits in genomic prediction models. We assessed the potential of multi-trait (MT) genomic prediction model through evaluating several strategies of incorporating multiple traits (eight agronomic and malting quality traits) into the prediction models with two cross-validation schemes (CV1, predicting new lines with genotypic information only and CV2, predicting partially phenotyped lines using both genotypic and phenotypic information from correlated traits) in barley. The predictive ability was similar for single (ST-CV1) and multi-trait (MT-CV1) models to predict new lines. However, the predictive ability for agronomic traits was considerably increased when partially phenotyped lines (MT-CV2) were used. The predictive ability for grain yield using the MT-CV2 model with other agronomic traits resulted in 57% and 61% higher predictive ability than ST-CV1 and MT-CV1 models, respectively. Therefore, complex traits such as grain yield are better predicted when correlated traits are used. Similarly, a considerable increase in the predictive ability of malting quality traits was observed when correlated traits were used. The predictive ability for grain protein content using the MT-CV2 model with both agronomic and malting traits resulted in a 76% higher predictive ability than ST-CV1 and MT-CV1 models. Additionally, the higher predictive ability for ... Presentar Todo
Palabras claves :  GENOMIC PREDICTION; GENPRED; GRAIN QUALITY; GRAIN YIELD; MALTING QUALITY; MULTI-ENVIRONMENT; MULTI-TRAIT; SHARED DATA RESOURCES.
Asunto categoría :  --
URL :  http://www.ainfo.inia.uy/digital/bitstream/item/16688/1/G3-Bethesda-2020.pdf
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7056970/pdf/1113.pdf
Marc :  Presentar Marc Completo
Registro original :  INIA La Estanzuela (LE)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LE103165 - 1PXIAP - DDPP/G3: GENES, GENOMES, GENETICS/2020

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Biblioteca (s) :  INIA La Estanzuela.
Fecha actual :  07/11/2018
Actualizado :  09/10/2019
Tipo de producción científica :  Artículos en Revistas Indexadas Internacionales
Circulación / Nivel :  Internacional - --
Autor :  DOS SANTOS, J.R.S.; LOPES, J.R.G; MEDEIROS, M.A.; CAMPPOS, É.M.; MEDEIROS, R.M.T.; RIET-CORREA, F.
Afiliación :  Centro de Ciências Agrárias (CCA), Universidade Federal de Paraíba (UFPB), Brazil; Centro de Ciências Agrárias (CCA), Universidade Federal de Paraíba (UFPB), Brazil; Centro de Ciências Agrárias (CCA), Universidade Federal de Paraíba (UFPB), Brazil; Centro de Ciências Agrárias (CCA), Universidade Federal de Paraíba (UFPB), Brazil; Centro de Ciências Agrárias (CCA), Universidade Federal de Paraíba (UFPB), Brazil; FRANKLIN RIET-CORREA AMARAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.
Título :  Mortalidade embrionária e aborto em caprinos causados pela ingestão de Poincianella pyramidalis. [Embryonic mortality and abortion in goats caused by ingestion of Poincianella pyramidalis].
Fecha de publicación :  2018
Fuente / Imprenta :  Pesquisa Veterinária Brasileira v.38 ,n.7. p. 1259-1263, July 2018. OPEN ACCESS.
ISSN :  0100-736X (Print) / 1678-5150 (Online)
DOI :  10.1590/1678-5150-PVB-5480
Idioma :  Inglés
Notas :  Article history: Received on July 4, 2017 // Accepted for publication on July 5, 2017.
Contenido :  ABSTRACT. This study aimed to characterize the embryotoxic, teratogenic and abortifacient effect of Poincianella pyramidalis in goats. Twenty pregnant goats with 18 days of gestation were divided into five groups of four animals each. After collection, the leaves of P. pyramidalis were dried in the shade and crushed. The daily feed provided to the goats was equivalent to 3% of their body weight, being 1% concentrated feed and 2% roughage. In Group 1 (control), the provided roughage was Cynodon dactylon (Tifton) hay; in Groups 2, 3 and 4, 10%, 20% and 80% of the C. dactylon roughage was replaced by dry and ground P. pyramidalis, respectively. In Group 5, all the roughage was replaced by green P. pyramidalis ad libitum, collected daily. Ultrasonographic examination was performed twice a week throughout the pregnancy. Goats in Groups 1, 2 and 3, delivered normal kids. Two goats in Group 4 aborted at 127 and 90 days of gestation. In group 5, three goats showed embryonic death at 25, 30 and 31 days of gestation and the other goat aborted at 39 days of pregnancy. Malformations were not observed. It is suggested that P. pyramidalis, which is very common in the semiarid region of northeastern Brazil, should be considered as an important cause of reproductive losses in this area. Due to its high palatability, it is important to avoid the ingestion of P. pyramidalis by pregnant and mating goats. © 2018 Colegio Brasileiro de Patologia Animal. All rights reserved. RESUMO. O objetivo de... Presentar Todo
Palabras claves :  ABORTION; EMBRYONIC MORTALITY; GOATS; PLANT POISONING; PLATAFORMA SALUD ANIMAL; POINCIANELLA PYRAMIDALIS; POISONOUS PLANTS; RUMINANTS; TOXICOSE.
Asunto categoría :  --
URL :  http://www.ainfo.inia.uy/digital/bitstream/item/11865/1/05-09-2018-02-4203-pvbAO2566.pdf
Marc :  Presentar Marc Completo
Registro original :  INIA La Estanzuela (LE)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LE102609 - 1PXIAP - DD
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