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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
18/01/2017 |
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Data da última atualização: |
18/01/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ALMEIDA FILHO, J. E. de; GUIMARÃES, J. F. R.; SILVA, F. F. e; RESENDE, M. D. V. de; MUÑOZ, P.; KIRST, M.; RESENDE JUNIOR, M. F. R. |
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Afiliação: |
J. E. de Almeida Filho, University of Florida; J. F. R. Guimarães, University of Florida; F. F. e SILVA, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; P. Muñoz, University of Florida; M. Kirst, University of Florida; M. F. R. Resende JUnior, RAPiD Genomics LLC. |
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Título: |
The contribution of dominance to phenotype prediction in a pine breeding and simulated population. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Heredity, v. 117, p. 33-41, July 2016. |
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DOI: |
10.1038/hdy.2016.23 |
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Idioma: |
Inglês |
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Conteúdo: |
Pedigrees and dense marker panels have been used to predict the genetic merit of individuals in plant and animal breeding, accounting primarily for the contribution of additive effects. However, nonadditive effects may also affect trait variation in many breeding systems, particularly when specific combining ability is explored. Here we used models with different priors, and including additive-only and additive plus dominance effects, to predict polygenic (height) and oligogenic (fusiform rust resistance) traits in a structured breeding population of loblolly pine (Pinus taeda L.). Models were largely similar in predictive ability, and the inclusion of dominance only improved modestly the predictions for tree height. Next, we simulated a genetically similar population to assess the ability of predicting polygenic and oligogenic traits controlled by different levels of dominance. The simulation showed an overall decrease in the accuracy of total genomic predictions as dominance increases, regardless of the method used for prediction. Thus, dominance effects may not be accounted for as effectively in prediction models compared with traits controlled by additive alleles only. When the ratio of dominance to total phenotypic variance reached 0.2, the additive?dominance prediction models were significantly better than the additive-only models. However, in the prediction of the subsequent progeny population, this accuracy increase was only observed for the oligogenic trait. |
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Thesagro: |
Árvore conífera. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/153479/1/2016-M.Deon-H-TheContribution.pdf
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Marc: |
LEADER 02158naa a2200217 a 4500
001 2061094
005 2017-01-18
008 2016 bl uuuu u00u1 u #d
024 7 $a10.1038/hdy.2016.23$2DOI
100 1 $aALMEIDA FILHO, J. E. de
245 $aThe contribution of dominance to phenotype prediction in a pine breeding and simulated population.$h[electronic resource]
260 $c2016
520 $aPedigrees and dense marker panels have been used to predict the genetic merit of individuals in plant and animal breeding, accounting primarily for the contribution of additive effects. However, nonadditive effects may also affect trait variation in many breeding systems, particularly when specific combining ability is explored. Here we used models with different priors, and including additive-only and additive plus dominance effects, to predict polygenic (height) and oligogenic (fusiform rust resistance) traits in a structured breeding population of loblolly pine (Pinus taeda L.). Models were largely similar in predictive ability, and the inclusion of dominance only improved modestly the predictions for tree height. Next, we simulated a genetically similar population to assess the ability of predicting polygenic and oligogenic traits controlled by different levels of dominance. The simulation showed an overall decrease in the accuracy of total genomic predictions as dominance increases, regardless of the method used for prediction. Thus, dominance effects may not be accounted for as effectively in prediction models compared with traits controlled by additive alleles only. When the ratio of dominance to total phenotypic variance reached 0.2, the additive?dominance prediction models were significantly better than the additive-only models. However, in the prediction of the subsequent progeny population, this accuracy increase was only observed for the oligogenic trait.
650 $aÁrvore conífera
700 1 $aGUIMARÃES, J. F. R.
700 1 $aSILVA, F. F. e
700 1 $aRESENDE, M. D. V. de
700 1 $aMUÑOZ, P.
700 1 $aKIRST, M.
700 1 $aRESENDE JUNIOR, M. F. R.
773 $tHeredity$gv. 117, p. 33-41, July 2016.
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Registro original: |
Embrapa Florestas (CNPF) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agrobiologia; Embrapa Solos. |
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Data corrente: |
18/05/2023 |
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Data da última atualização: |
24/05/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 3 |
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Autoria: |
SOUZA, W. dos S.; REZENDE, C. de P.; PEREIRA, J. M.; MONTEIRO, R. C.; SANTOS, C. A. dos; MACEDO, R. de O.; ALECRIM, F. B.; PINHEIRO, E. F. M.; CAMPOS, D. V. B. de; URQUIAGA, S.; ALVES, B. J. R.; BODDEY, R. M. |
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Afiliação: |
WESLEY DOS SANTOS SOUZA, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO; CLAUDIA DE PAULA REZENDE, ESTAÇÃO DE ZOOTECNIA DO EXTREMO SUL DA BAHIA; JOSÉ MARQUES PEREIRA, CENTRO DE PESQUISAS DO CACAU; RAFAEL CASSADOR MONTEIRO, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO; CAMILA A. DOS SANTOS, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO; ROBERT DE OLIVEIRA MACEDO, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO; FABIANO BARBOSA ALECRIM, UNIVERSIDADE FEDERAL FLUMINENSE; ÉRIKA F. MACHADO PINHEIRO, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO; DAVID VILAS BOAS DE CAMPOS, CNPS; SEGUNDO SACRAMENTO U CABALLERO, CNPAB; BRUNO JOSE RODRIGUES ALVES, CNPAB; ROBERT MICHAEL BODDEY, CNPAB. |
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Título: |
Can N2 fixation by forage legumes build soil organic matter to rival fertilizer N in a tropical forest biome? |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Geoderma Regional, v. 33, e00646, Jun. 2023. |
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DOI: |
https://doi.org/10.1016/j.geodrs.2023.e00646 |
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Idioma: |
Inglês |
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Conteúdo: |
Fertilization of pastures with nitrogen (N) can increase animal productivity and may also increase the stocks of soil carbon (C). Recently stoloniferous forage legumes have been used to develop productive sustainable mixed pastures in the Atlantic forest biome. The objective of this study was to compare the impact over 24 years on soil C and N stocks of a productive N-fertilized pasture of Urochloa brizantha cv. Marandu with a mixed forage peanut (Arachis pintoi)-Marandu grass pasture introduced 8 years after an N-fertilized elephantgrass (Pennisetum purpureum) pasture. The pastures were rotationally stocked by Nellore cattle a green-forage allowance equivalent to 4% of body weight and animal performance was continuously monitored. Soil samples were taken at the start of the study and after 8 and 24 years of grazing and analyzed for total C and N and 13C abundance. In 8 years, the stocks of soil organic matter (SOM - 0-30 cm) increased by 4.4 Mg C and 0.58 Mg N ha-1 under the elephantgrass pasture and by 10.4 Mg C and 1.23 Mg N ha-1 under the Marandu grass pasture, both fertilized with 160 kg N ha-1 yr-1. Over the subsequent 16 years, SOM stocks under the Marandu grass fertilized with 120 kg N ha-1 and the mixed forage peanut-Marandu pasture which replaced elephantgrass attained similar stocks of soil C of 51.8 and 52.5 Mg C ha-1 respectively, approximately 12 Mg C greater than under the native vegetation. The 13C abundance of the soil samples indicated that the C4 grass roots made an insignificant contribution to soil C below 30 cm depth. The results show that the N2-fixing forage peanut was just as effective in accumulating SOM as an annual application of 120 kg N fertilizer ha-1 and indicated that after 24 years of these pastures there was little further SOM accumulation. MenosFertilization of pastures with nitrogen (N) can increase animal productivity and may also increase the stocks of soil carbon (C). Recently stoloniferous forage legumes have been used to develop productive sustainable mixed pastures in the Atlantic forest biome. The objective of this study was to compare the impact over 24 years on soil C and N stocks of a productive N-fertilized pasture of Urochloa brizantha cv. Marandu with a mixed forage peanut (Arachis pintoi)-Marandu grass pasture introduced 8 years after an N-fertilized elephantgrass (Pennisetum purpureum) pasture. The pastures were rotationally stocked by Nellore cattle a green-forage allowance equivalent to 4% of body weight and animal performance was continuously monitored. Soil samples were taken at the start of the study and after 8 and 24 years of grazing and analyzed for total C and N and 13C abundance. In 8 years, the stocks of soil organic matter (SOM - 0-30 cm) increased by 4.4 Mg C and 0.58 Mg N ha-1 under the elephantgrass pasture and by 10.4 Mg C and 1.23 Mg N ha-1 under the Marandu grass pasture, both fertilized with 160 kg N ha-1 yr-1. Over the subsequent 16 years, SOM stocks under the Marandu grass fertilized with 120 kg N ha-1 and the mixed forage peanut-Marandu pasture which replaced elephantgrass attained similar stocks of soil C of 51.8 and 52.5 Mg C ha-1 respectively, approximately 12 Mg C greater than under the native vegetation. The 13C abundance of the soil samples indicated that the C4 grass roo... Mostrar Tudo |
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Palavras-Chave: |
Carbono de solo; Grass legume pasture; Grass-legume pasture; Soil C accumulation. |
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Thesagro: |
Pastagem; Pennisetum Purpureum. |
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Thesaurus NAL: |
Acrisols; Arachis pintoi; Urochloa brizantha. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02926naa a2200373 a 4500
001 2153961
005 2023-05-24
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.geodrs.2023.e00646$2DOI
100 1 $aSOUZA, W. dos S.
245 $aCan N2 fixation by forage legumes build soil organic matter to rival fertilizer N in a tropical forest biome?$h[electronic resource]
260 $c2023
520 $aFertilization of pastures with nitrogen (N) can increase animal productivity and may also increase the stocks of soil carbon (C). Recently stoloniferous forage legumes have been used to develop productive sustainable mixed pastures in the Atlantic forest biome. The objective of this study was to compare the impact over 24 years on soil C and N stocks of a productive N-fertilized pasture of Urochloa brizantha cv. Marandu with a mixed forage peanut (Arachis pintoi)-Marandu grass pasture introduced 8 years after an N-fertilized elephantgrass (Pennisetum purpureum) pasture. The pastures were rotationally stocked by Nellore cattle a green-forage allowance equivalent to 4% of body weight and animal performance was continuously monitored. Soil samples were taken at the start of the study and after 8 and 24 years of grazing and analyzed for total C and N and 13C abundance. In 8 years, the stocks of soil organic matter (SOM - 0-30 cm) increased by 4.4 Mg C and 0.58 Mg N ha-1 under the elephantgrass pasture and by 10.4 Mg C and 1.23 Mg N ha-1 under the Marandu grass pasture, both fertilized with 160 kg N ha-1 yr-1. Over the subsequent 16 years, SOM stocks under the Marandu grass fertilized with 120 kg N ha-1 and the mixed forage peanut-Marandu pasture which replaced elephantgrass attained similar stocks of soil C of 51.8 and 52.5 Mg C ha-1 respectively, approximately 12 Mg C greater than under the native vegetation. The 13C abundance of the soil samples indicated that the C4 grass roots made an insignificant contribution to soil C below 30 cm depth. The results show that the N2-fixing forage peanut was just as effective in accumulating SOM as an annual application of 120 kg N fertilizer ha-1 and indicated that after 24 years of these pastures there was little further SOM accumulation.
650 $aAcrisols
650 $aArachis pintoi
650 $aUrochloa brizantha
650 $aPastagem
650 $aPennisetum Purpureum
653 $aCarbono de solo
653 $aGrass legume pasture
653 $aGrass-legume pasture
653 $aSoil C accumulation
700 1 $aREZENDE, C. de P.
700 1 $aPEREIRA, J. M.
700 1 $aMONTEIRO, R. C.
700 1 $aSANTOS, C. A. dos
700 1 $aMACEDO, R. de O.
700 1 $aALECRIM, F. B.
700 1 $aPINHEIRO, E. F. M.
700 1 $aCAMPOS, D. V. B. de
700 1 $aURQUIAGA, S.
700 1 $aALVES, B. J. R.
700 1 $aBODDEY, R. M.
773 $tGeoderma Regional$gv. 33, e00646, Jun. 2023.
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