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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
20/08/2020 |
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Data da última atualização: |
04/11/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
OLIVEIRA, I. C. M.; GUILHEN, J. H. S.; RIBEIRO, P. C. de O.; GEZAN, S. A.; SCHAFFERT, R. E.; SIMEONE, M. L. F.; DAMASCENO, C. M. B.; CARNEIRO, J. E. de S.; CARNEIRO, P. C. S.; PARRELLA, R. A. da C.; PASTINA, M. M. |
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Afiliação: |
Isadora Cristina Martins Oliveira; José Henrique Soler Guilhen; Pedro César de Oliveira Ribeiro, Universidade Federal de Viçosa; Salvador Alejandro Gezan, VSN International; ROBERT EUGENE SCHAFFERT, CNPMS; MARIA LUCIA FERREIRA SIMEONE, CNPMS; CYNTHIA MARIA BORGES DAMASCENO, CNPMS; José Eustáquio de Souza Carneiro, Universidade Federal de Viçosa; Pedro Crescêncio Souza Carneiro, Universidade Federal de Viçosa; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS; MARIA MARTA PASTINA, CNPMS. |
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Título: |
Genotype-by-environment interaction and yield stability analysis of biomass sorghum hybrids using factor analytic models and environmental covariates. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Field Crops Research, v. 257, 107929, 2020. |
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Idioma: |
Inglês |
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Conteúdo: |
Biomass sorghum has emerged as an alternative crop for biofuel and bioelectricity production. Fresh biomassyield (FBY) is a quantitative trait highly correlated with the calorific power of energy sorghum cultivars, but alsohighly affected by the environment. The main goal of this study was to investigate the genotype-by-environmentinteraction (G × E) and the stability of sorghum hybrids evaluated for FBY across different locations and years,using factor analytic (FA) mixed models and environmental covariates. Pairwise genetic correlations betweenenvironments ranged from -0.21 to 0.99, indicating the existence of null to high G × E. The FA analysis unveiledthat solely three factors explained more than 79% of the genetic variance, and that more than 60% of theenvironments were clustered in thefirst factor. Moderate correlations were found between some environmentalcovariates and the loadings of FA models for environments, suggesting the possible factors to explain the high G× E between environments clustered in a given factor. For example: precipitation, minimum temperature andspeed wind were correlated to the environmental loadings of factor 1; minimum temperature, solar radiation andaltitude to factor 2; and crop growth cycle to factor 3. The latent regression analysis was used to identify hybridsmore responsive to a set of environments, as well as hybrids specifically adapted to a given environment. Finally,FA models can be successfully used to identify the main environmental factors affecting G × E, such as minimumtemperature, precipitation, solar radiation, crop growth cycle and altitude. MenosBiomass sorghum has emerged as an alternative crop for biofuel and bioelectricity production. Fresh biomassyield (FBY) is a quantitative trait highly correlated with the calorific power of energy sorghum cultivars, but alsohighly affected by the environment. The main goal of this study was to investigate the genotype-by-environmentinteraction (G × E) and the stability of sorghum hybrids evaluated for FBY across different locations and years,using factor analytic (FA) mixed models and environmental covariates. Pairwise genetic correlations betweenenvironments ranged from -0.21 to 0.99, indicating the existence of null to high G × E. The FA analysis unveiledthat solely three factors explained more than 79% of the genetic variance, and that more than 60% of theenvironments were clustered in thefirst factor. Moderate correlations were found between some environmentalcovariates and the loadings of FA models for environments, suggesting the possible factors to explain the high G× E between environments clustered in a given factor. For example: precipitation, minimum temperature andspeed wind were correlated to the environmental loadings of factor 1; minimum temperature, solar radiation andaltitude to factor 2; and crop growth cycle to factor 3. The latent regression analysis was used to identify hybridsmore responsive to a set of environments, as well as hybrids specifically adapted to a given environment. Finally,FA models can be successfully used to identify the main environment... Mostrar Tudo |
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Thesagro: |
Bioenergia; Melhoramento Genético Vegetal; Sorghum Bicolor. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/215435/1/Genotype-environment.pdf
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Marc: |
LEADER 02518naa a2200277 a 4500
001 2124452
005 2020-11-04
008 2020 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, I. C. M.
245 $aGenotype-by-environment interaction and yield stability analysis of biomass sorghum hybrids using factor analytic models and environmental covariates.$h[electronic resource]
260 $c2020
520 $aBiomass sorghum has emerged as an alternative crop for biofuel and bioelectricity production. Fresh biomassyield (FBY) is a quantitative trait highly correlated with the calorific power of energy sorghum cultivars, but alsohighly affected by the environment. The main goal of this study was to investigate the genotype-by-environmentinteraction (G × E) and the stability of sorghum hybrids evaluated for FBY across different locations and years,using factor analytic (FA) mixed models and environmental covariates. Pairwise genetic correlations betweenenvironments ranged from -0.21 to 0.99, indicating the existence of null to high G × E. The FA analysis unveiledthat solely three factors explained more than 79% of the genetic variance, and that more than 60% of theenvironments were clustered in thefirst factor. Moderate correlations were found between some environmentalcovariates and the loadings of FA models for environments, suggesting the possible factors to explain the high G× E between environments clustered in a given factor. For example: precipitation, minimum temperature andspeed wind were correlated to the environmental loadings of factor 1; minimum temperature, solar radiation andaltitude to factor 2; and crop growth cycle to factor 3. The latent regression analysis was used to identify hybridsmore responsive to a set of environments, as well as hybrids specifically adapted to a given environment. Finally,FA models can be successfully used to identify the main environmental factors affecting G × E, such as minimumtemperature, precipitation, solar radiation, crop growth cycle and altitude.
650 $aBioenergia
650 $aMelhoramento Genético Vegetal
650 $aSorghum Bicolor
700 1 $aGUILHEN, J. H. S.
700 1 $aRIBEIRO, P. C. de O.
700 1 $aGEZAN, S. A.
700 1 $aSCHAFFERT, R. E.
700 1 $aSIMEONE, M. L. F.
700 1 $aDAMASCENO, C. M. B.
700 1 $aCARNEIRO, J. E. de S.
700 1 $aCARNEIRO, P. C. S.
700 1 $aPARRELLA, R. A. da C.
700 1 $aPASTINA, M. M.
773 $tField Crops Research$gv. 257, 107929, 2020.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental; Embrapa Unidades Centrais. |
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Data corrente: |
20/11/1995 |
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Data da última atualização: |
22/01/2021 |
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Autoria: |
NOGUEIRA, O. L.; CALZAVARA, B. B. G.; MULLER, C. H.; CARVALHO, C. J. R. de; GALVAO, E. U. P.; SILVA, H. M. e; RODRIGUES, J. E. L. F.; CARVALHO, J. E. U. de; OLIVEIRA, M. do S. P. de; ROCHA NETO, O. G. da; NASCIMENTO, W. M. O. do. |
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Afiliação: |
OSCAR LAMEIRA NOGUEIRA, CPATU; BATISTA BENITO GABRIEL CALZAVARA, CPATU; CARLOS HANS MULLER, CPATU; CLAUDIO JOSE REIS DE CARVALHO, CPATU; EXPEDITO UBIRAJARA PEIXOTO GALVAO, CPATU; HERCULES MARTINS E SILVA, CPATU; JOAO ELIAS LOPES F RODRIGUES, CPATU; JOSE EDMAR URANO DE CARVALHO, CPATU; MARIA DO SOCORRO P DE OLIVEIRA, CPATU; OLINTO GOMES DA ROCHA NETO, CPATU; WALNICE MARIA O DO NASCIMENTO, CPATU. |
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Título: |
A cultura da pupunha. |
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Ano de publicação: |
1995 |
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Fonte/Imprenta: |
Brasília, DF: EMBRAPA-SPI; Belém, PA: EMBRAPA-CPATU, 1995. |
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Páginas: |
50 p. |
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Descrição Física: |
il. |
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Série: |
(Coleção plantar, 25). |
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Idioma: |
Português |
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Conteúdo: |
Introdução; clima e solo; variedades; Métodos de propagação; Plantio; Tratos culturais; Adubação; Controle de pragas e doenças; Colheita e beneficiamento dos frutos; Extração e beneficiamento do palmito; Coeficientes de produção. |
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Palavras-Chave: |
Bactris gasipae; Brasil; Cultivation; Cultive; Cultivo; Culture; Culture tract; Fetilizer application; Fruit; Guilielma spiciosa; Harvest; Palm heart; Pejibaye; Pest insects; Plant diseases; Plantation; Processing; Producal; Production; Propagação; Propagation; Pupunheira; Spiny palm tree; Tratos culturais; Variety. |
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Thesagro: |
Adubação; Análise Econômica; Bactris Gasipaes; Beneficiamento; Clima; Colheita; Doença; Fruta; Fruto; Inseto; Palmae; Palmeira Oleaginosa; Palmito; Plantio; Praga; Processamento; Produção; Propagação Vegetativa; Pupunha; Solo; Variedade. |
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Thesaurus NAL: |
climate; crop management; economics; fruits; harvesting; pests; plant propagation; soil; varieties. |
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Categoria do assunto: |
--
E Economia e Indústria Agrícola |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/162220/1/A-cultura-da-pupunha.pdf
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Marc: |
LEADER 02449nam a2200913 a 4500
001 1387282
005 2021-01-22
008 1995 bl uuuu 00u1 u #d
100 1 $aNOGUEIRA, O. L.
245 $aA cultura da pupunha.
260 $aBrasília, DF: EMBRAPA-SPI; Belém, PA: EMBRAPA-CPATU$c1995
300 $a50 p.$cil.
490 $a(Coleção plantar, 25).
520 $aIntrodução; clima e solo; variedades; Métodos de propagação; Plantio; Tratos culturais; Adubação; Controle de pragas e doenças; Colheita e beneficiamento dos frutos; Extração e beneficiamento do palmito; Coeficientes de produção.
650 $aclimate
650 $acrop management
650 $aeconomics
650 $afruits
650 $aharvesting
650 $apests
650 $aplant propagation
650 $asoil
650 $avarieties
650 $aAdubação
650 $aAnálise Econômica
650 $aBactris Gasipaes
650 $aBeneficiamento
650 $aClima
650 $aColheita
650 $aDoença
650 $aFruta
650 $aFruto
650 $aInseto
650 $aPalmae
650 $aPalmeira Oleaginosa
650 $aPalmito
650 $aPlantio
650 $aPraga
650 $aProcessamento
650 $aProdução
650 $aPropagação Vegetativa
650 $aPupunha
650 $aSolo
650 $aVariedade
653 $aBactris gasipae
653 $aBrasil
653 $aCultivation
653 $aCultive
653 $aCultivo
653 $aCulture
653 $aCulture tract
653 $aFetilizer application
653 $aFruit
653 $aGuilielma spiciosa
653 $aHarvest
653 $aPalm heart
653 $aPejibaye
653 $aPest insects
653 $aPlant diseases
653 $aPlantation
653 $aProcessing
653 $aProducal
653 $aProduction
653 $aPropagação
653 $aPropagation
653 $aPupunheira
653 $aSpiny palm tree
653 $aTratos culturais
653 $aVariety
700 1 $aCALZAVARA, B. B. G.
700 1 $aMULLER, C. H.
700 1 $aCARVALHO, C. J. R. de
700 1 $aGALVAO, E. U. P.
700 1 $aSILVA, H. M. e
700 1 $aRODRIGUES, J. E. L. F.
700 1 $aCARVALHO, J. E. U. de
700 1 $aOLIVEIRA, M. do S. P. de
700 1 $aROCHA NETO, O. G. da
700 1 $aNASCIMENTO, W. M. O. do
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Embrapa Amazônia Oriental (CPATU) |
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