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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
10/05/2019 |
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Actualizado : |
10/05/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
BAO, L.; CASTIGLIONI, E.; MARTÍNEZ, S.; SAVARIS, M.; MARINONI, L. |
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Afiliación : |
LETICIA BAO, Universidad de la República, Facultad de Agronomía, Departamento de Protección Vegetal, Unidad de Entomología, UY.; ENRIQUE CASTIGLIONI, Centro Universitario Regional del Este, Universidad de la República. Rocha, UY.; SEBASTIÁN MARTÍNEZ KOPP, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARCOANDRE SAVARIS, Escola Superior de Agricultura "Luiz de Queiroz" ESALQ-USP, Departamento de Entomología e Acarología - LEA, BR.; LUCIANE MARINONI, Universidade Federal do Paraná, Setor de Ciencias Biológicas, Departamento de Zoología, Programa de Pos-Graduacao em Entomologia, Curitiba, PR, Brasil. |
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Título : |
First records of Sepedonea lindneri (Hendel, 1932) and Protodictya lilloana Steyskal, 1953 (Diptera, Sciomyzidae) from Uruguay with an overview on their biology. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Check List, Jannuary 2019, 15(1), p. 71-77. |
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ISSN : |
1809127X |
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DOI : |
10.15560/15.1.71 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 26 September 2018. Accepted 19 December 2018. Published 25 January 2019. |
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Contenido : |
Sciomyzidae (Diptera) has been recorded in several countries of South America, but few species have been found in Uruguay. We report the first record of Sepedonea lindneri (Hendel, 1932) and Protodictya lilloana Steyskal, 1953 (Diptera, Sciomyzidae) from Uruguay. The specimens were collected in rice crops and in adjacent native vegetation with sweep net and vacuum sampler from December to March (2012?2015) in the Eastern region of the country. Photos of collection areas, habitus of adults and distribution map of the species are provided. |
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Palabras claves : |
APPLE SNAIL CONTROL; GEOGRAPHIC DISTRIBUTION; MARSH FLIES; NEOTROPICAL REGION; RICE CROP. |
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Asunto categoría : |
H20 Enfermedades de las plantas |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12647/1/Martinez-Check-List-2019.pdf
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Marc : |
LEADER 01450naa a2200265 a 4500
001 1059756
005 2019-05-10
008 2019 bl uuuu u00u1 u #d
022 $a1809127X
024 7 $a10.15560/15.1.71$2DOI
100 1 $aBAO, L.
245 $aFirst records of Sepedonea lindneri (Hendel, 1932) and Protodictya lilloana Steyskal, 1953 (Diptera, Sciomyzidae) from Uruguay with an overview on their biology.$h[electronic resource]
260 $c2019
500 $aArticle history: Received 26 September 2018. Accepted 19 December 2018. Published 25 January 2019.
520 $aSciomyzidae (Diptera) has been recorded in several countries of South America, but few species have been found in Uruguay. We report the first record of Sepedonea lindneri (Hendel, 1932) and Protodictya lilloana Steyskal, 1953 (Diptera, Sciomyzidae) from Uruguay. The specimens were collected in rice crops and in adjacent native vegetation with sweep net and vacuum sampler from December to March (2012?2015) in the Eastern region of the country. Photos of collection areas, habitus of adults and distribution map of the species are provided.
653 $aAPPLE SNAIL CONTROL
653 $aGEOGRAPHIC DISTRIBUTION
653 $aMARSH FLIES
653 $aNEOTROPICAL REGION
653 $aRICE CROP
700 1 $aCASTIGLIONI, E.
700 1 $aMARTÍNEZ, S.
700 1 $aSAVARIS, M.
700 1 $aMARINONI, L.
773 $tCheck List, Jannuary 2019, 15(1), p. 71-77.
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INIA Treinta y Tres (TT) |
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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
15/10/2014 |
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Actualizado : |
15/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 1 |
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Autor : |
CHEN, C.Y.; MISZTAL, I.; AGUILAR, I.; TSURUTA, S.; MEUWISSEN, T.H.E.; AGGREY, S.E.; WING, T.; MUIR, W.M. |
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Afiliación : |
IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Genome-wide marker-assisted selection combining all pedigree phenotypic information with genotypic data in one step: An example using broiler chickens. |
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Fecha de publicación : |
2011 |
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Fuente / Imprenta : |
Journal of Animal Science, 2011, v.89, no.1, p.23-28. |
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ISSN : |
0021-8812 |
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DOI : |
10.2527/jas.2010-3071 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received April 9, 2010 / Accepted September 22, 2010. |
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Contenido : |
ABSTRACT.
Data of broiler chickens for 2 pure lines across 3 generations were used for genomic evaluation. A complete population (full data set; FDS) consisted of 183,784 and 164,246 broilers for the 2 lines. The genotyped subsets (SUB) consisted of 3,284 and 3,098 broilers with 57,636 SNP. Genotyped animals were preselected based on more than 20 traits with different index applied to each line. Three traits were analyzed: BW at 6 wk (BW6), ultrasound measurement of breast meat (BM), and leg score (LS) coded 1 = no and 2 = yes for leg defect. Some phenotypes were missing for BM. The training population consisted of the first 2 generations including all animals in FDS or only genotyped animals in SUB. The validation data set contained only genotyped animals in the third generation. Genetic evaluations were performed using 3 approaches: 1) phenotypic BLUP, 2) extending BLUP methodologies to utilize pedigree and genomic information in a single step (ssGBLUP), and 3) Bayes A. Whereas BLUP and ssGBLUP utilized all phenotypic data, Bayes A could use only those of the genotyped subset. Heritabilities were 0.17 to 0.20 for BW6, 0.30 to 0.35 for BM, and 0.09 to 0.11 for LS. The average accuracies of the validation population with BLUP for BW6, BM, and LS were 0.46, 0.30, and <0 with SUB and 0.51, 0.34, and 0.28 with FDS. With ssGBLUP, those accuracies were 0.60, 0.34, and 0.06 with SUB and 0.61, 0.40, and 0.37 with FDS, respectively. With Bayes A, the accuracies were 0.60, 0.36, and 0.09 with SUB. With SUB, Bayes A and ssGBLUP had similar accuracies. For traits of high heritability, the accuracy of Bayes A/SUB and ssGBLUP/FDS were similar, and up to 50% better than BLUP/FDS. However, with low heritability, ssGBLUP/ FDS was 4 to 6 times more accurate than Bayes A/SUB and 50% better than BLUP/FDS. An optimal genomic evaluation would be multi-trait and involve all traits and records on which selection is based.
©2011 American Society of Animal Science. MenosABSTRACT.
Data of broiler chickens for 2 pure lines across 3 generations were used for genomic evaluation. A complete population (full data set; FDS) consisted of 183,784 and 164,246 broilers for the 2 lines. The genotyped subsets (SUB) consisted of 3,284 and 3,098 broilers with 57,636 SNP. Genotyped animals were preselected based on more than 20 traits with different index applied to each line. Three traits were analyzed: BW at 6 wk (BW6), ultrasound measurement of breast meat (BM), and leg score (LS) coded 1 = no and 2 = yes for leg defect. Some phenotypes were missing for BM. The training population consisted of the first 2 generations including all animals in FDS or only genotyped animals in SUB. The validation data set contained only genotyped animals in the third generation. Genetic evaluations were performed using 3 approaches: 1) phenotypic BLUP, 2) extending BLUP methodologies to utilize pedigree and genomic information in a single step (ssGBLUP), and 3) Bayes A. Whereas BLUP and ssGBLUP utilized all phenotypic data, Bayes A could use only those of the genotyped subset. Heritabilities were 0.17 to 0.20 for BW6, 0.30 to 0.35 for BM, and 0.09 to 0.11 for LS. The average accuracies of the validation population with BLUP for BW6, BM, and LS were 0.46, 0.30, and <0 with SUB and 0.51, 0.34, and 0.28 with FDS. With ssGBLUP, those accuracies were 0.60, 0.34, and 0.06 with SUB and 0.61, 0.40, and 0.37 with FDS, respectively. With Bayes A, the accuracies were 0.60, 0.36, and... Presentar Todo |
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Thesagro : |
MARCADORES GENÉTICOS; POLLO. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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Marc : |
LEADER 02840naa a2200265 a 4500
001 1051115
005 2019-10-15
008 2011 bl uuuu u00u1 u #d
022 $a0021-8812
024 7 $a10.2527/jas.2010-3071$2DOI
100 1 $aCHEN, C.Y.
245 $aGenome-wide marker-assisted selection combining all pedigree phenotypic information with genotypic data in one step$bAn example using broiler chickens.$h[electronic resource]
260 $c2011
500 $aArticle history: Received April 9, 2010 / Accepted September 22, 2010.
520 $aABSTRACT. Data of broiler chickens for 2 pure lines across 3 generations were used for genomic evaluation. A complete population (full data set; FDS) consisted of 183,784 and 164,246 broilers for the 2 lines. The genotyped subsets (SUB) consisted of 3,284 and 3,098 broilers with 57,636 SNP. Genotyped animals were preselected based on more than 20 traits with different index applied to each line. Three traits were analyzed: BW at 6 wk (BW6), ultrasound measurement of breast meat (BM), and leg score (LS) coded 1 = no and 2 = yes for leg defect. Some phenotypes were missing for BM. The training population consisted of the first 2 generations including all animals in FDS or only genotyped animals in SUB. The validation data set contained only genotyped animals in the third generation. Genetic evaluations were performed using 3 approaches: 1) phenotypic BLUP, 2) extending BLUP methodologies to utilize pedigree and genomic information in a single step (ssGBLUP), and 3) Bayes A. Whereas BLUP and ssGBLUP utilized all phenotypic data, Bayes A could use only those of the genotyped subset. Heritabilities were 0.17 to 0.20 for BW6, 0.30 to 0.35 for BM, and 0.09 to 0.11 for LS. The average accuracies of the validation population with BLUP for BW6, BM, and LS were 0.46, 0.30, and <0 with SUB and 0.51, 0.34, and 0.28 with FDS. With ssGBLUP, those accuracies were 0.60, 0.34, and 0.06 with SUB and 0.61, 0.40, and 0.37 with FDS, respectively. With Bayes A, the accuracies were 0.60, 0.36, and 0.09 with SUB. With SUB, Bayes A and ssGBLUP had similar accuracies. For traits of high heritability, the accuracy of Bayes A/SUB and ssGBLUP/FDS were similar, and up to 50% better than BLUP/FDS. However, with low heritability, ssGBLUP/ FDS was 4 to 6 times more accurate than Bayes A/SUB and 50% better than BLUP/FDS. An optimal genomic evaluation would be multi-trait and involve all traits and records on which selection is based. ©2011 American Society of Animal Science.
650 $aMARCADORES GENÉTICOS
650 $aPOLLO
700 1 $aMISZTAL, I.
700 1 $aAGUILAR, I.
700 1 $aTSURUTA, S.
700 1 $aMEUWISSEN, T.H.E.
700 1 $aAGGREY, S.E.
700 1 $aWING, T.
700 1 $aMUIR, W.M.
773 $tJournal of Animal Science, 2011$gv.89, no.1, p.23-28.
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