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Registro Completo |
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Biblioteca(s): |
Embrapa Uva e Vinho. |
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Data corrente: |
01/08/2022 |
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Data da última atualização: |
02/08/2022 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
CASALI, C. A.; KAMINSKI, J.; SANTOS, D. R. dos; BRUNETTO, G.; CASALI, A. V.; TIECHER, T.; SANTOS, J. dos; MELO, G. W. B. de; FURLANETTO, V. |
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Afiliação: |
CARLOS ALBERTO CASALI, Universidade Federal de Santa MAria - UFSM; JOÃO KAMINSKI, Universidade Federal de Santa Maria - UFSM; DANILO RHEINHEIMER DOS SANTOS, Universidade Federal de Santa Maria - UFSM; GUSTAVO BRUNETTO, Universidade Federal de Santa Maria - UFSM; ÂNGELA VALÉRIA CASALI, Universidade Federal de Santa MAria - UFSM; TALES TIECHER, Universidade Federal de Santa Maria - UFSM; JADERSON DOS SANTOS, Universidade Federal de Santa Maria - UFSM; GEORGE WELLINGTON BASTOS DE MELO, CNPUV; VANEILA FURLANETTO, Universidade Federal de Santa Maria - UFSM. |
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Título: |
Estimativa da acidez potencial em solos da Serra Gaúcha. |
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Ano de publicação: |
2006 |
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Fonte/Imprenta: |
In: ENCONTRO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA UVA E VINHO, 4., 2006, Bento Gonçalves. Resumos. Bento Gonçalves: Embrapa Uva e Vinho, 2006. p. 15 |
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Idioma: |
Português |
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Conteúdo: |
A estimativa da acidez potencial do solo (H+Al) é dependente da metodologia empregada para a sua quantificação e dos solos usados na calibração do método. O índice SMP é o método mais usado para estimar o H+Al dos solos da região Sul do Brasil, uma vez que, é calibrado com um conjunto de solos de diversas regiões do RS e SC. Contudo, nesta calibração foram usados poucos solos da Serra Gaúcha do RS. O objetivo deste trabalho foi testar a equação de estimativa desenvolvida por Kaminski et al. (2002), com a desenvolvida neste experimento e comparar a estimativa com a acidez potencial real obtida por titulação direta do solo. |
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Thesagro: |
Acidez do Solo; Solo. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1145090/1/doc057-17.pdf
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Marc: |
LEADER 01386nam a2200229 a 4500
001 2145090
005 2022-08-02
008 2006 bl uuuu u00u1 u #d
100 1 $aCASALI, C. A.
245 $aEstimativa da acidez potencial em solos da Serra Gaúcha.$h[electronic resource]
260 $aIn: ENCONTRO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA UVA E VINHO, 4., 2006, Bento Gonçalves. Resumos. Bento Gonçalves: Embrapa Uva e Vinho, 2006. p. 15$c2006
520 $aA estimativa da acidez potencial do solo (H+Al) é dependente da metodologia empregada para a sua quantificação e dos solos usados na calibração do método. O índice SMP é o método mais usado para estimar o H+Al dos solos da região Sul do Brasil, uma vez que, é calibrado com um conjunto de solos de diversas regiões do RS e SC. Contudo, nesta calibração foram usados poucos solos da Serra Gaúcha do RS. O objetivo deste trabalho foi testar a equação de estimativa desenvolvida por Kaminski et al. (2002), com a desenvolvida neste experimento e comparar a estimativa com a acidez potencial real obtida por titulação direta do solo.
650 $aAcidez do Solo
650 $aSolo
700 1 $aKAMINSKI, J.
700 1 $aSANTOS, D. R. dos
700 1 $aBRUNETTO, G.
700 1 $aCASALI, A. V.
700 1 $aTIECHER, T.
700 1 $aSANTOS, J. dos
700 1 $aMELO, G. W. B. de
700 1 $aFURLANETTO, V.
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Registro original: |
Embrapa Uva e Vinho (CNPUV) |
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Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
30/06/2016 |
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Data da última atualização: |
30/06/2016 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
RIOS, E.; RESENDE, M.; KIRST, M.; RESENDE, M. D. V. de; ALMEIDA FILHO, J. E. de; MUNOZ, P. |
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Afiliação: |
Esteban Rios, University of Florida; Marcio Resende, RAPiD Genomics LLC; Matias Kirst, UFPR; MARCOS DEON VILELA DE RESENDE, CNPF; Janeo E. de Almeida Filho, UFV; Patricio Munoz, UFPR. |
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Título: |
Predictive ability of Genomic Estimated Family Values (GEFV). |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
In: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego. [Abstracts...]. San Diego: [s.n.], 2016. Pôster P1186. |
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Idioma: |
Inglês |
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Conteúdo: |
Genomic selection (GS) has been used to compute genomic estimated breeding values (GEBV) of individuals; however, it has only been applied to animal and major plant crops due to high costs. Besides, breeding and selection is performed at the family level in some crops. We aimed to study the implementation of genome-wide family selection (GWFS) in two loblolly pine (Pinus taeda L.) populations: i) the breeding population CCLONES composed of 63 families (5-20 individuals per family), phenotyped for four traits (stem diameter, stem rust susceptibility, tree stiffness and lignin content) and genotyped using an Illumina Infinium assay with 4740 polymorphic SNPs, and ii) a simulated population that reproduced the same pedigree as CCLONES, 5000 polymorphic loci and two traits (oligogenic and polygenic). In both populations, phenotypic and genotypic data was pooled at the family level in silico. Phenotypes were averaged across replicates for all the individuals and allele frequency was computed for each SNP. Marker effects were estimated at the individual (GEBV) and family (GEFV) levels with Bayes-B using the package BGLR in R and models were validated using 10-fold cross validations. Predicted ability, computed by correlating phenotypes with GEBV and GEFV, was always higher for GEFV in both populations, even after standardizing GEFV predictions to be comparable to GEBV. Results revealed great potential for using GWFS in breeding programs that select families, such as most outbreeding forage species. A significant drop in genotyping costs as one sample per family is needed would allow the application of GWFS in minor crops. MenosGenomic selection (GS) has been used to compute genomic estimated breeding values (GEBV) of individuals; however, it has only been applied to animal and major plant crops due to high costs. Besides, breeding and selection is performed at the family level in some crops. We aimed to study the implementation of genome-wide family selection (GWFS) in two loblolly pine (Pinus taeda L.) populations: i) the breeding population CCLONES composed of 63 families (5-20 individuals per family), phenotyped for four traits (stem diameter, stem rust susceptibility, tree stiffness and lignin content) and genotyped using an Illumina Infinium assay with 4740 polymorphic SNPs, and ii) a simulated population that reproduced the same pedigree as CCLONES, 5000 polymorphic loci and two traits (oligogenic and polygenic). In both populations, phenotypic and genotypic data was pooled at the family level in silico. Phenotypes were averaged across replicates for all the individuals and allele frequency was computed for each SNP. Marker effects were estimated at the individual (GEBV) and family (GEFV) levels with Bayes-B using the package BGLR in R and models were validated using 10-fold cross validations. Predicted ability, computed by correlating phenotypes with GEBV and GEFV, was always higher for GEFV in both populations, even after standardizing GEFV predictions to be comparable to GEBV. Results revealed great potential for using GWFS in breeding programs that select families, such as most outbreedi... Mostrar Tudo |
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Palavras-Chave: |
Melhoramento genético. |
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Thesagro: |
Melhoramento vegetal; Pinus Taeda. |
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Thesaurus NAL: |
Plant breeding. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/144954/1/2016-M.Deon-IPAG-Predicty-Ability.pdf
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Marc: |
LEADER 02338nam a2200217 a 4500
001 2048088
005 2016-06-30
008 2016 bl uuuu u00u1 u #d
100 1 $aRIOS, E.
245 $aPredictive ability of Genomic Estimated Family Values (GEFV).$h[electronic resource]
260 $aIn: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego. [Abstracts...]. San Diego: [s.n.], 2016. Pôster P1186.$c1186
520 $aGenomic selection (GS) has been used to compute genomic estimated breeding values (GEBV) of individuals; however, it has only been applied to animal and major plant crops due to high costs. Besides, breeding and selection is performed at the family level in some crops. We aimed to study the implementation of genome-wide family selection (GWFS) in two loblolly pine (Pinus taeda L.) populations: i) the breeding population CCLONES composed of 63 families (5-20 individuals per family), phenotyped for four traits (stem diameter, stem rust susceptibility, tree stiffness and lignin content) and genotyped using an Illumina Infinium assay with 4740 polymorphic SNPs, and ii) a simulated population that reproduced the same pedigree as CCLONES, 5000 polymorphic loci and two traits (oligogenic and polygenic). In both populations, phenotypic and genotypic data was pooled at the family level in silico. Phenotypes were averaged across replicates for all the individuals and allele frequency was computed for each SNP. Marker effects were estimated at the individual (GEBV) and family (GEFV) levels with Bayes-B using the package BGLR in R and models were validated using 10-fold cross validations. Predicted ability, computed by correlating phenotypes with GEBV and GEFV, was always higher for GEFV in both populations, even after standardizing GEFV predictions to be comparable to GEBV. Results revealed great potential for using GWFS in breeding programs that select families, such as most outbreeding forage species. A significant drop in genotyping costs as one sample per family is needed would allow the application of GWFS in minor crops.
650 $aPlant breeding
650 $aMelhoramento vegetal
650 $aPinus Taeda
653 $aMelhoramento genético
700 1 $aRESENDE, M.
700 1 $aKIRST, M.
700 1 $aRESENDE, M. D. V. de
700 1 $aALMEIDA FILHO, J. E. de
700 1 $aMUNOZ, P.
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Registro original: |
Embrapa Florestas (CNPF) |
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