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Registro Completo |
Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
Data corrente: |
31/10/2001 |
Data da última atualização: |
26/07/2023 |
Autoria: |
KAKIDANI, H.; FURUTANI, Y.; TAKAHASHI, H.; NODA, M.; MORIMOTO, Y.; HIROSE, T.; ASAI, M.; INAYAMA, S.; NAKANISHI, S.; NUMA, S. |
Título: |
Cloning and sequence analysis of cDNA for porcine Betha-neo-endorphin/dynorphin precursor. |
Ano de publicação: |
1982 |
Fonte/Imprenta: |
Nature, v. 298, p. 245-248, Jul. 1982. |
Idioma: |
Inglês |
Conteúdo: |
The primary structure of a precursor protein that contains Betha-neo-endorphin, dynorphin and a third leucine-enkephalin seuqnce with a carboxyl extension has been deduced from the nucleotide sequence of cloned DNA complementary to the porcine hypothalamic mRNA encoding it. The three peptides are each bounded by Lys-Arg. This precursor protein, like adrenal preproenkephalin and the corticotropin/Betha-lipotropin precursor, comprises multiple repetitive units and a cysteine-containing amino-terminal sequence preceded by a signal peptide. |
Palavras-Chave: |
Cloning; Genetic; Nucleotide sequence; Sequencia nucleica. |
Thesagro: |
Clonagem; DNA; Genética. |
Thesaurus Nal: |
Nucleotide sequences; Sequence analysis. |
Categoria do assunto: |
G Melhoramento Genético |
Marc: |
LEADER 01425naa a2200337 a 4500 001 1524270 005 2023-07-26 008 1982 bl uuuu u00u1 u #d 100 1 $aKAKIDANI, H. 245 $aCloning and sequence analysis of cDNA for porcine Betha-neo-endorphin/dynorphin precursor.$h[electronic resource] 260 $c1982 520 $aThe primary structure of a precursor protein that contains Betha-neo-endorphin, dynorphin and a third leucine-enkephalin seuqnce with a carboxyl extension has been deduced from the nucleotide sequence of cloned DNA complementary to the porcine hypothalamic mRNA encoding it. The three peptides are each bounded by Lys-Arg. This precursor protein, like adrenal preproenkephalin and the corticotropin/Betha-lipotropin precursor, comprises multiple repetitive units and a cysteine-containing amino-terminal sequence preceded by a signal peptide. 650 $aNucleotide sequences 650 $aSequence analysis 650 $aClonagem 650 $aDNA 650 $aGenética 653 $aCloning 653 $aGenetic 653 $aNucleotide sequence 653 $aSequencia nucleica 700 1 $aFURUTANI, Y. 700 1 $aTAKAHASHI, H. 700 1 $aNODA, M. 700 1 $aMORIMOTO, Y. 700 1 $aHIROSE, T. 700 1 $aASAI, M. 700 1 $aINAYAMA, S. 700 1 $aNAKANISHI, S. 700 1 $aNUMA, S. 773 $tNature$gv. 298, p. 245-248, Jul. 1982.
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Biblioteca(s): |
Embrapa Unidades Centrais. |
Data corrente: |
08/09/2015 |
Data da última atualização: |
25/05/2017 |
Autoria: |
FERRAZ FILHO, A. C.; SCOLFORO, J. R. S.; OLIVEIRA, A. D. de; MELLO, J. M. de. |
Afiliação: |
ANTONIO CARLOS FERRAZ FILHO, UFLA; JOSÉ ROBERTO SOARES SCOLFORO, UFLA; ANTONIO DONIZETTE DE OLIVEIRA, UFLA; JOSÉ MÁRCIO DE MELLO, UFLA. |
Título: |
Modeling growth and yield of loblolly pine stands under intensive management. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 50, n. 8, p. 707-717, ago. 2015. |
Idioma: |
Inglês |
Notas: |
Título em português: Modelagem do crescimento e da produção de povoamento de Pinus taeda sob manejo intensivo. |
Conteúdo: |
The objective of this work was to develop and validate a prognosis system for volume yield and basal area of intensively managed loblolly pine (Pinus taeda) stands, using stand and diameter class models compatible in basal area estimates. The data used in the study were obtained from plantations located in northern Uruguay. For model validation without data loss, a three?phase validation scheme was applied: first, the equations were fitted without the validation database; then, model validation was carried out; and, finally, the database was regrouped to recalibrate the parameter values. After the validation and final parameterization of the models, a simulation of the first commercial thinning was carried out. The developed prognosis system was precise and accurate in estimating basal area production per hectare or per diameter classes. There was compatibility in basal area estimates between diameter class and whole stand models, with a mean difference of ?0.01m2 ha?1. The validation scheme applied is logic and consistent, since information on the accuracy and precision of the models is obtained without the loss of any information in the estimation of the models? parameters |
Palavras-Chave: |
Debaste; Sistema de prognose; Validação de modelo. |
Thesagro: |
Pinus Taeda; Poda. |
Thesaurus NAL: |
Model validation; Pruning. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/129167/1/Modeling-growth-and-yield.pdf
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Marc: |
LEADER 02022naa a2200253 a 4500 001 2023451 005 2017-05-25 008 2015 bl uuuu u00u1 u #d 100 1 $aFERRAZ FILHO, A. C. 245 $aModeling growth and yield of loblolly pine stands under intensive management. 260 $c2015 500 $aTítulo em português: Modelagem do crescimento e da produção de povoamento de Pinus taeda sob manejo intensivo. 520 $aThe objective of this work was to develop and validate a prognosis system for volume yield and basal area of intensively managed loblolly pine (Pinus taeda) stands, using stand and diameter class models compatible in basal area estimates. The data used in the study were obtained from plantations located in northern Uruguay. For model validation without data loss, a three?phase validation scheme was applied: first, the equations were fitted without the validation database; then, model validation was carried out; and, finally, the database was regrouped to recalibrate the parameter values. After the validation and final parameterization of the models, a simulation of the first commercial thinning was carried out. The developed prognosis system was precise and accurate in estimating basal area production per hectare or per diameter classes. There was compatibility in basal area estimates between diameter class and whole stand models, with a mean difference of ?0.01m2 ha?1. The validation scheme applied is logic and consistent, since information on the accuracy and precision of the models is obtained without the loss of any information in the estimation of the models? parameters 650 $aModel validation 650 $aPruning 650 $aPinus Taeda 650 $aPoda 653 $aDebaste 653 $aSistema de prognose 653 $aValidação de modelo 700 1 $aSCOLFORO, J. R. S. 700 1 $aOLIVEIRA, A. D. de 700 1 $aMELLO, J. M. de 773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 50, n. 8, p. 707-717, ago. 2015.
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