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| Registros recuperados : 171 | |
| 101. |  | BENIN, G.; CARVALHO, F. I. F. de; OLIVEIRA, A. C. de; MARCHIORO, V. S.; VIEIRA, E. A.; BERTAN, I.; VALÉRIO, I. P.; MARCHESE, J. A.; MATE, G. Morphological and AFLP markers for describing genetic relationships among white oat genotypes. Bragantia, Campinas, v. 67, n. 3, p. 563-568, 2008.| Biblioteca(s): Embrapa Cerrados. |
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| 102. | | CASTRO, C. M.; OLIVEIRA, A. C. de; CARVALHO, F. I. F. de; MAIA, M. de S.; MATTOS, L. A.; FREITAS, F. Morphological and molecular characterization of italian ryegrass populations. Crop Breeding and Applied Biotechnology, Londrina, v. 3, n. 4, p. 245-254, Dec. 2003.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 103. | | KOPP, M. M.; LUZ, V. K. da; COIMBRA, J. L. M.; SOUSA, R. O. de; CARVALHO, F. I. F. de; OLIVEIRA, A. C. Níveis críticos dos ácidos acético, propiônico e butírico para estudos de toxicidade em arroz em solução nutritiva. Acta Botanica Brasilica, Porto Alegre, v. 21, n. 1, p. 146-154, jan. 2007.| Biblioteca(s): Embrapa Florestas. |
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| 104. | | LORENCETTI, C.; CARVALHO, F. I. F. de; OLIVEIRA, A. C. de; VALÉRIO, I. P.; BENIN, G.; ZIMMER, P. D.; VIEIRA, E. A. Distância genética e sua associação com heterose e desempenho de híbridos em aveia. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 41, n. 4, p. 591-598, abr. 2006 Título em inglês: Genetic distance and its association with heterosis and performance of hybrids on oat.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 105. | | SILVA, G. O. da; PEREIRA, A. da S.; SOUZA, V. Q. de; CASTRO, C. M.; CARVALHO, F. I. F. de; VIEIRA, E. A. Distâncias genéticas entre genótipos de batata a partir de dados morfológicos, moleculares e geneológicos. Semina: Ciências Agrárias, Londrina, v. 30, supl. 1, p. 983-991, 2009.| Biblioteca(s): Embrapa Clima Temperado. |
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| 106. | | SILVA, G. O. da; PEREIRA, A. da S.; SOUZA, V. Q. de; CASTRO, C. M.; CARVALHO, F. I. F. de; VIEIRA, E. A. Distâncias genéticas entre genótipos de batata a partir de dados morfológicos, moleculares e geneológicos. Semina: Ciências Agrárias, Londrina, v. 30, supl. 1, p. 983-991, 2009.| Biblioteca(s): Embrapa Cerrados. |
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| 107. | | KROPP, M. M.; COIMBRA, J. L. M.; LUZ, V. K. da; SOUSA, R. O. de; CARVALHO, F. I. F. de; OLIVEIRA, A. C. de. Organic acid tolerance in M3 families of oat mutants. Crop Breeding and Applied Biotechnology, Londrina, v. 7, n. 1, p. 59-66, June 2007.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 108. | | BERED, F.; SERENO, M. J. C. de M.; CARVALHO, F. I. F. de; LANGE, C. E.; HANDEL, C. L.; DORNELLES, A. L. C. Regeneração de plantas de aveia a partir de calos embriogênicos e organogênicos. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 33, n. 11, p. 1827-33, nov. 1998. Título em inglês: Plant regeneration from embryogenic and organogenic calli in oat.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 109. | | BENIN, G.; HARTWIG, I.; CARVALHO, F. I. F. de; OLIVEIRA, A. C. de; VIEIRA, E. A.; BERTAN, I.; SILVA, J. A. da; VALÉRIO, I. P.; RIBEIRO, G. Repeatability estimates of genetic, phenotypic and environmental correlations in oats with and without fungicide application. Crop Breeding and Applied Biotechnology, Viçosa, MG, v. 5, n. 2, p. 183-190, June 2005.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 110. | | SILVA, G. O. da; PEREIRA, A. da S.; SOUZA, V. Q de; CARVALHO, F. I. F. de; VIEIRA, E. A.; FRITSCHE NETO, R. Seleção para caracteres componentes de aparência e rendimento de tubérculo em plântulas de batata. Horticultura Brasileira, Brasilia, DF, v. 26, n. 3, p. 325-329, 2008.| Biblioteca(s): Embrapa Clima Temperado. |
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| 111. | | SILVA, S. A.; CARVALHO, F. I. F. de; NEDEL, J. L.; CRUZ, P. J.; PESKE, S. T.; SIMIONI, D.; CARGNIN, A. Enchimento de sementes em linhas quase-isogênicas de trigo com presença e ausência do caráter "stay-green". Pesquisa Agropecuária Brasileira, Brasília, DF, v. 38, n. 5, p. 613-618, maio 2003 Título em inglês: Seed filling in near-isogenic lines of wheat with presence and obsence of the stay-green trait.| Biblioteca(s): Embrapa Trigo; Embrapa Unidades Centrais. |
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| 112. | | WOYANN, L. G.; CARVALHO, F. I. F. de; OLIVEIRA, A. C.; VALERIO, I. P.; SILVEIRA, G.; CRESTANI, M.; NORNBERG, R.; ZANATA, O.; LUCHE, E.; STUMPF, M. T. Estimativas de correlação fenotípica e genotípica em trigo. In: CONGRESSO DE INICIAÇÃO CIENTÍFICA, 16.; ENCONTRO DE PÓS-GRADUAÇÃO, 9., 2007, Pelotas. Pesquisa e responsabilidade ambiental: resumos... Pelotas: UFPel: Faculdade de Agronomia Eliseu Maciel, 2007. Documento online.| Biblioteca(s): Embrapa Trigo. |
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| 113. | | MAIA, L. C. da; PALMIERI, D. A.; SOUZA, V. Q. de; MAGALHÃES JÚNIOR, A. M.; CARVALHO, F. I. F. de; OLIVEIRA, A. C. de. Estudo estrutural da ocorrência de SSRs (Simple squence repeats) no genoma do arroz: caracterização pós-seqüenciamento. In: CONGRESSO BRASILEIRO DE ARROZ IRRIGADO, 5.; REUNIÃO DA CULTURA DO ARROZ IRRIGADO, 27., 2007, Pelotas. Anais... Pelotas: Embrapa Clima Temperado, 2007. v. 1, p. 267-268| Biblioteca(s): Embrapa Clima Temperado. |
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| 114. | | CARVALHO, F. I. F. de; UITDEWILLIGEN, W. P. M.; FEDERIZZI, L. C.; GOMES, E. P.; PFEIFER, A. B.; MATOS, M. A. O. Herdabilidade do caráter estatura de planta de trigo: estimativa através do coeficiente de regressão. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 16, n. 1, p. 55-67, jan. 1981 Título em inglês: Plant stature heritability i wheat: estimate through the regression coefficient.| Biblioteca(s): Embrapa Trigo; Embrapa Unidades Centrais. |
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| 115. | | SILVA, G. O. da S.; PEREIRA, A. da S.; SOUZA, V. Q de; CARVALHO, F. I. F. de; OLIVEIRA, A. de; BERTAN, I.; FRITSCHE NETO, R. Importância de caracteres na dissimilaridade de progênies de batata em gerações iniciais de seleção. Bragantia, São Paulo, v. 67, p. 693-699, 2008. .| Biblioteca(s): Embrapa Clima Temperado. |
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| 116. | | KOPP, M. M.; LUZ, V. K. da; MARINI, N.; COIMBRA, J. L. M.; CARVALHO, F. I. F. de; OLIVEIRA, A. C. Efeitos do ácido propiônico no desenvolvimento de plântulas mutantes de arroz. Revista Ceres, Viçosa, v. 56, n. 6, p. 806-811, 2009.| Biblioteca(s): Embrapa Algodão; Embrapa Gado de Leite. |
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| 117. | | VALÉRIO, I. P.; CARVALHO, F. I. F. de; OLIVEIRA, A. C. de; MACHADO, A. de A.; BENIN, G.; SCHEEREN, P. L.; SOUZA, V. Q. de; HARTWIG, I. Desenvolvimento de afilhos e componentes do rendimento em genótipos de trigo sob diferentes densidades de semeadura. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 43, n. 3, p. 319-326, mar. 2008.| Biblioteca(s): Embrapa Trigo; Embrapa Unidades Centrais. |
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| 118. | | GEORG, E. S.; CARVALHO, F. I. F. de; BARBOSA, J. F.; FRANCO, F. A.; FERREIRA FILHO, A. W. P.; REIS, M. S.; VIAU, L. V. M. Desempenho preliminar de novos genotipos de aveia e trigo na depressao central do RS. Pesquisa Agropecuaria Brasileira, Brasilia, v.21, n.11, p.1169-1175, nov. 1986.| Biblioteca(s): Embrapa Trigo; Embrapa Unidades Centrais. |
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| 119. | | VALÉRIO, I. P.; CARVALHO, F. I. F. de; OLIVEIRA, A. C. de; SOUZA, V. Q. de; BENIN, G.; SCHMIDT, D. A. M.; RIBEIRO, G.; NORNBERG, R.; LUCH, H. Combining ability of wheat genotypes in two models of diallel analyses. Crop Breeding and Applied Biotechnology, Londrina, v. 9, n. 2, p. 100-107, June 2009.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 120. | | MATIELLO, R. R.; SERENO, M. J. C. M.; BARBOSA NETO, J. F.; CARVALHO, F. I. F. de; PACHECO, M. T.; PEGORARO, D. G.; TADERKA, I. Characterization for plant height and flowering date in the biological species oat. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 34, n. 8, p. 1393-98, ago. 1999 Título em português: Caracterização da estatura de planta e data de florescimento na espécie biológica aveia.| Biblioteca(s): Embrapa Unidades Centrais. |
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| Registros recuperados : 171 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
21/12/2017 |
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Data da última atualização: |
21/12/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
TONUSSI, R. L.; SILVA, R. M. de O.; MAGALHAES, A. F. B.; ESPIGOLAN, R.; PERIPOLLI, E.; OLIVIERI, B. F.; FEITOSA, F. L. B.; LEMOS, M. V. A.; BERTON, M. P.; CHIAIA, H. L. J.; PEREIRA, A. S. C.; LOBO, R. B.; BEZERRA, L. A. F.; MAGNABOSCO, C. de U.; LOURENÇO, D. A. L.; AGUILAR, I.; BALDI REY, F. S. |
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Afiliação: |
RAFAEL LARA TONUSSI, UNESP; RAFAEL MEDEIROS DE OLIVEIRA SILVA, UNESP; ANA FABRÍCIA BRAGA MAGALHÃES, UNESP; RAFAEL ESPIGOLAN, UNESP; ELISA PERIPOLLI, UNESP; BIANCA FERREIRA OLIVIERI, UNESP; FABIELI LOISE BRAGA FEITOSA, UNESP; MARCOS VINICÍUS ANTUNES LEMOS, UNESP; MARIANA PIATTO BERTON, UNESP; HERMENEGILDO LUCAS JUSTINO CHIAIA, UNESP; ANGELICA SIMONE CRAVO PEREIRA, USP; RAYSILDO BARBOSA LÔBO, ANCP; LUIZ ANTÔNIO FRAMARTINO BEZERRA, USP; CLAUDIO DE ULHOA MAGNABOSCO, CPAC; DANIELA ANDRESSA LINO LOURENÇO, University of Georgia; IGNÁCIO AGUILAR, INIA; FERNANDO SEBASTIÁN BALDI REY, UNESP. |
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Título: |
Application of single step genomic BLUP under different uncertain paternity scenarios using simulated data. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
PLoS ONE, v. 12, n. 9, e0181752, 28 September 2017. |
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DOI: |
https://doi.org/10.1371/journal.pone.0181752 |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this study was to investigate the application of BLUP and single step genomic BLUP (ssGBLUP) models in different scenarios of paternity uncertainty with different strategies of scaling the G matrix to match the A22 matrix, using simulated data for beef cattle. Genotypes, pedigree, and phenotypes for age at first calving (AFC) and weight at 550 days (W550) were simulated using heritabilities based on real data (0.12 for AFC and 0.34 for W550). Paternity uncertainty scenarios using 0, 25, 50, 75, and 100% of multiple sires (MS) were studied. The simulated genome had a total length of 2,333 cM, containing 735,293 biallelic markers and 7,000 QTLs randomly distributed over the 29 BTA. It was assumed that QTLs explained 100% of the genetic variance. For QTL, the amount of alleles per loci randomly ranged from two to four. The BLUP model that considers phenotypic and pedigree data, and the ssGBLUP model that combines phenotypic, pedigree and genomic information were used for genetic evaluations. Four ways of scaling the mean of the genomic matrix (G) to match to the mean of the pedigree relationship matrix among genotyped animals (A22) were tested. Accuracy, bias, and inflation were investigated for five groups of animals: ALL = all animals; BULL = only bulls; GEN = genotyped animals; FEM = females; and YOUNG = young males. With the BLUP model, the accuracies of genetic evaluations decreased for both traits as the proportion of unknown sires in the population increased. The EBV accuracy reduction was higher for GEN and YOUNG groups. By analyzing the scenarios for YOUNG (from 0 to 100% of MS), the decrease was 87.8 and 86% for AFC and W550, respectively. When applying the ssGBLUP model, the accuracies of genetic evaluation also decreased as the MS in the pedigree for both traits increased. However, the accuracy reduction was less than those observed for BLUP model. Using the same comparison (scenario 0 to 100% of MS), the accuracies reductions were 38 and 44.6% for AFC and W550, respectively. There were no differences between the strategies for scaling the G matrix for ALL, BULL, and FEM groups under the different scenarios with missing pedigree. These results pointed out that the uninformative part of the A22 matrix and genotyped animals with paternity uncertainty did not influence the scaling of G matrix. On the basis of the results, it is important to have a G matrix in the same scale of the A22 matrix, especially for the evaluation of young animals in situations with missing pedigree information. In these situations, the ssGBLUP model is an appropriate alternative to obtain a more reliable and less biased estimate of breeding values, especially for young animals with few or no phenotypic records. For accurate and unbiased genomic predictions with ssGBLUP, it is necessary to assure that the G matrix is compatible with the A22 matrix, even in situations with paternity uncertainty. MenosThe objective of this study was to investigate the application of BLUP and single step genomic BLUP (ssGBLUP) models in different scenarios of paternity uncertainty with different strategies of scaling the G matrix to match the A22 matrix, using simulated data for beef cattle. Genotypes, pedigree, and phenotypes for age at first calving (AFC) and weight at 550 days (W550) were simulated using heritabilities based on real data (0.12 for AFC and 0.34 for W550). Paternity uncertainty scenarios using 0, 25, 50, 75, and 100% of multiple sires (MS) were studied. The simulated genome had a total length of 2,333 cM, containing 735,293 biallelic markers and 7,000 QTLs randomly distributed over the 29 BTA. It was assumed that QTLs explained 100% of the genetic variance. For QTL, the amount of alleles per loci randomly ranged from two to four. The BLUP model that considers phenotypic and pedigree data, and the ssGBLUP model that combines phenotypic, pedigree and genomic information were used for genetic evaluations. Four ways of scaling the mean of the genomic matrix (G) to match to the mean of the pedigree relationship matrix among genotyped animals (A22) were tested. Accuracy, bias, and inflation were investigated for five groups of animals: ALL = all animals; BULL = only bulls; GEN = genotyped animals; FEM = females; and YOUNG = young males. With the BLUP model, the accuracies of genetic evaluations decreased for both traits as the proportion of unknown sires in the population incre... Mostrar Tudo |
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Palavras-Chave: |
Best Linear Unbiased Prediction. |
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Thesagro: |
Citogenética Animal; Gado de Corte; Hereditariedade; Seleção Fenótipa. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/169502/1/Application-of-single-step-genomic-BLUP-under-different-uncertain-paternity-scenarios-using-simulated-data..pdf
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Marc: |
LEADER 04121naa a2200385 a 4500
001 2083177
005 2017-12-21
008 2017 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1371/journal.pone.0181752$2DOI
100 1 $aTONUSSI, R. L.
245 $aApplication of single step genomic BLUP under different uncertain paternity scenarios using simulated data.$h[electronic resource]
260 $c2017
520 $aThe objective of this study was to investigate the application of BLUP and single step genomic BLUP (ssGBLUP) models in different scenarios of paternity uncertainty with different strategies of scaling the G matrix to match the A22 matrix, using simulated data for beef cattle. Genotypes, pedigree, and phenotypes for age at first calving (AFC) and weight at 550 days (W550) were simulated using heritabilities based on real data (0.12 for AFC and 0.34 for W550). Paternity uncertainty scenarios using 0, 25, 50, 75, and 100% of multiple sires (MS) were studied. The simulated genome had a total length of 2,333 cM, containing 735,293 biallelic markers and 7,000 QTLs randomly distributed over the 29 BTA. It was assumed that QTLs explained 100% of the genetic variance. For QTL, the amount of alleles per loci randomly ranged from two to four. The BLUP model that considers phenotypic and pedigree data, and the ssGBLUP model that combines phenotypic, pedigree and genomic information were used for genetic evaluations. Four ways of scaling the mean of the genomic matrix (G) to match to the mean of the pedigree relationship matrix among genotyped animals (A22) were tested. Accuracy, bias, and inflation were investigated for five groups of animals: ALL = all animals; BULL = only bulls; GEN = genotyped animals; FEM = females; and YOUNG = young males. With the BLUP model, the accuracies of genetic evaluations decreased for both traits as the proportion of unknown sires in the population increased. The EBV accuracy reduction was higher for GEN and YOUNG groups. By analyzing the scenarios for YOUNG (from 0 to 100% of MS), the decrease was 87.8 and 86% for AFC and W550, respectively. When applying the ssGBLUP model, the accuracies of genetic evaluation also decreased as the MS in the pedigree for both traits increased. However, the accuracy reduction was less than those observed for BLUP model. Using the same comparison (scenario 0 to 100% of MS), the accuracies reductions were 38 and 44.6% for AFC and W550, respectively. There were no differences between the strategies for scaling the G matrix for ALL, BULL, and FEM groups under the different scenarios with missing pedigree. These results pointed out that the uninformative part of the A22 matrix and genotyped animals with paternity uncertainty did not influence the scaling of G matrix. On the basis of the results, it is important to have a G matrix in the same scale of the A22 matrix, especially for the evaluation of young animals in situations with missing pedigree information. In these situations, the ssGBLUP model is an appropriate alternative to obtain a more reliable and less biased estimate of breeding values, especially for young animals with few or no phenotypic records. For accurate and unbiased genomic predictions with ssGBLUP, it is necessary to assure that the G matrix is compatible with the A22 matrix, even in situations with paternity uncertainty.
650 $aCitogenética Animal
650 $aGado de Corte
650 $aHereditariedade
650 $aSeleção Fenótipa
653 $aBest Linear Unbiased Prediction
700 1 $aSILVA, R. M. de O.
700 1 $aMAGALHAES, A. F. B.
700 1 $aESPIGOLAN, R.
700 1 $aPERIPOLLI, E.
700 1 $aOLIVIERI, B. F.
700 1 $aFEITOSA, F. L. B.
700 1 $aLEMOS, M. V. A.
700 1 $aBERTON, M. P.
700 1 $aCHIAIA, H. L. J.
700 1 $aPEREIRA, A. S. C.
700 1 $aLOBO, R. B.
700 1 $aBEZERRA, L. A. F.
700 1 $aMAGNABOSCO, C. de U.
700 1 $aLOURENÇO, D. A. L.
700 1 $aAGUILAR, I.
700 1 $aBALDI REY, F. S.
773 $tPLoS ONE$gv. 12, n. 9, e0181752, 28 September 2017.
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