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Registro Completo |
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
12/09/2018 |
Data da última atualização: |
07/02/2019 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
SCARASSATTI, T. V.; AVILA, R. G.; MAGALHAES, P. C.; SILVA, E. M. da. |
Afiliação: |
Tiago Villela Scarassatti; Roniel Geraldo Avila; PAULO CESAR MAGALHAES, CNPMS; Eder Marcos da Silva. |
Título: |
A seca altera o rendimento e a qualidade mineral de grãos de milho. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
In: CONGRESSO NACIONAL DE MILHO E SORGO, 32., 2018, Lavras. Soluções integradas para os sistemas de produção de milho e sorgo no Brasil: resumos. Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2018. |
Páginas: |
p. 88. |
Idioma: |
Português |
Palavras-Chave: |
Déficit hídrico; Pré-florescimento. |
Thesagro: |
Deficiência Hídrica; Produtividade. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/182774/1/Seca-altera.pdf
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Marc: |
LEADER 00745nam a2200193 a 4500 001 2095493 005 2019-02-07 008 2018 bl uuuu u00u1 u #d 100 1 $aSCARASSATTI, T. V. 245 $aA seca altera o rendimento e a qualidade mineral de grãos de milho.$h[electronic resource] 260 $aIn: CONGRESSO NACIONAL DE MILHO E SORGO, 32., 2018, Lavras. Soluções integradas para os sistemas de produção de milho e sorgo no Brasil: resumos. Sete Lagoas: Associação Brasileira de Milho e Sorgo$c2018 300 $ap. 88. 650 $aDeficiência Hídrica 650 $aProdutividade 653 $aDéficit hídrico 653 $aPré-florescimento 700 1 $aAVILA, R. G. 700 1 $aMAGALHAES, P. C. 700 1 $aSILVA, E. M. da
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Embrapa Milho e Sorgo (CNPMS) |
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Registro Completo
Biblioteca(s): |
Embrapa Amazônia Ocidental; Embrapa Milho e Sorgo; Embrapa Pesca e Aquicultura. |
Data corrente: |
10/01/2018 |
Data da última atualização: |
23/05/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
RIOS, S. de A.; CUNHA, R. N. V. da; LOPES, R.; SILVA, E. B. da; ROCHA, R. N. C. da; LIMA, W. A. A. de. |
Afiliação: |
SARA DE ALMEIDA RIOS, CNPMS; RAIMUNDO NONATO VIEIRA DA CUNHA, CPAA; RICARDO LOPES, CPAA; EDSON BARCELOS DA SILVA, CPAA; RAIMUNDO NONATO CARVALHO DA ROCHA, CPAA; WANDERLEI ANTONIO ALVES DE LIMA, CPAC. |
Título: |
Correlation and Path analysis for yield components in Dura oil palm germplasm. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Industrial Crops and Products, v. 112, p. 724-733, Feb. 2018. |
DOI: |
10.1016/j.indcrop.2017.12.054 |
Idioma: |
Inglês |
Conteúdo: |
The purpose of this study was to evaluate linear correlations and their direct and indirect effects on the characters of production for oil palm germplasm. It were evaluated 34 accessions of the Germplasm of Oil Palm from Embrapa considering 37 variables among vegetative characters, bunch yield and bunch components. Data were collected, fortnightly, during consecutive eight years, from fourth to tenth year after planting. It was estimated the matrix of phenotypic and genotypic correlations, and its decomposition into direct and indirect effects through path coefficient analysis. Results showed that Total Bunch Weight at young (PTCFJ) and adult (PTCFA) phase, even as number of bunches at adult phase (NCFA), total bunch weight (PTC), bunch weight (Pcacho), bunch peduncle (PPED), fruit to bunch ratio (RFC), pulp to fruit ratio (RPF), oil percentage in wet pulp (POP), and laboratory oil extraction rate (TEL) had positive and significant correlation (p <= 5 0,05) with oil production per plant at adult phase (POFA): 0.55, 0.72, 0.35, 0,72, 0.49, 0.49, 0.37, 0.53, 0.34 and 0.69, respectively. As expected, there was a negative correlation (p <= 0.05) between POFA and the variables almond to fruit ratio (PerAM) (-0.47) and endocarp to fruit ratio (PEF) (-0.45). The path coefficient analysis showed that despite high positive and significant correlations between POFA and many variables evaluated, for few of these correlations was verified a relationship of cause and effect. Variables with significant correlations, and with high direct effect on POFA were NCFA (0,13 direct effect), PTCFA (0,53 direct effect), RFC (0,11 direct effect), RPF (0,10 direct effect), PEF (-011), POP (0,13 direct effect) and TEL (0,35). The variables with higher direct and/or indirect effect to increase the fresh fruit bunch production were PTCFJ and PTCFA. The latter is the most important variable for use in breeding programs and evaluation of the oil palm as it has positive and significant correlations and direct and/or indirect effect in the correlation value for the increase for both bunches production as well as oil palm production. MenosThe purpose of this study was to evaluate linear correlations and their direct and indirect effects on the characters of production for oil palm germplasm. It were evaluated 34 accessions of the Germplasm of Oil Palm from Embrapa considering 37 variables among vegetative characters, bunch yield and bunch components. Data were collected, fortnightly, during consecutive eight years, from fourth to tenth year after planting. It was estimated the matrix of phenotypic and genotypic correlations, and its decomposition into direct and indirect effects through path coefficient analysis. Results showed that Total Bunch Weight at young (PTCFJ) and adult (PTCFA) phase, even as number of bunches at adult phase (NCFA), total bunch weight (PTC), bunch weight (Pcacho), bunch peduncle (PPED), fruit to bunch ratio (RFC), pulp to fruit ratio (RPF), oil percentage in wet pulp (POP), and laboratory oil extraction rate (TEL) had positive and significant correlation (p <= 5 0,05) with oil production per plant at adult phase (POFA): 0.55, 0.72, 0.35, 0,72, 0.49, 0.49, 0.37, 0.53, 0.34 and 0.69, respectively. As expected, there was a negative correlation (p <= 0.05) between POFA and the variables almond to fruit ratio (PerAM) (-0.47) and endocarp to fruit ratio (PEF) (-0.45). The path coefficient analysis showed that despite high positive and significant correlations between POFA and many variables evaluated, for few of these correlations was verified a relationship of cause and effect. Variables w... Mostrar Tudo |
Palavras-Chave: |
Direct and indirect effects; Oil yield; Palma de óleo. |
Thesagro: |
Elaeis Guineensis; Germoplasma. |
Thesaurus NAL: |
correlated responses. |
Categoria do assunto: |
-- X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02942naa a2200265 a 4500 001 2091885 005 2018-05-23 008 2018 bl uuuu u00u1 u #d 024 7 $a10.1016/j.indcrop.2017.12.054$2DOI 100 1 $aRIOS, S. de A. 245 $aCorrelation and Path analysis for yield components in Dura oil palm germplasm.$h[electronic resource] 260 $c2018 520 $aThe purpose of this study was to evaluate linear correlations and their direct and indirect effects on the characters of production for oil palm germplasm. It were evaluated 34 accessions of the Germplasm of Oil Palm from Embrapa considering 37 variables among vegetative characters, bunch yield and bunch components. Data were collected, fortnightly, during consecutive eight years, from fourth to tenth year after planting. It was estimated the matrix of phenotypic and genotypic correlations, and its decomposition into direct and indirect effects through path coefficient analysis. Results showed that Total Bunch Weight at young (PTCFJ) and adult (PTCFA) phase, even as number of bunches at adult phase (NCFA), total bunch weight (PTC), bunch weight (Pcacho), bunch peduncle (PPED), fruit to bunch ratio (RFC), pulp to fruit ratio (RPF), oil percentage in wet pulp (POP), and laboratory oil extraction rate (TEL) had positive and significant correlation (p <= 5 0,05) with oil production per plant at adult phase (POFA): 0.55, 0.72, 0.35, 0,72, 0.49, 0.49, 0.37, 0.53, 0.34 and 0.69, respectively. As expected, there was a negative correlation (p <= 0.05) between POFA and the variables almond to fruit ratio (PerAM) (-0.47) and endocarp to fruit ratio (PEF) (-0.45). The path coefficient analysis showed that despite high positive and significant correlations between POFA and many variables evaluated, for few of these correlations was verified a relationship of cause and effect. Variables with significant correlations, and with high direct effect on POFA were NCFA (0,13 direct effect), PTCFA (0,53 direct effect), RFC (0,11 direct effect), RPF (0,10 direct effect), PEF (-011), POP (0,13 direct effect) and TEL (0,35). The variables with higher direct and/or indirect effect to increase the fresh fruit bunch production were PTCFJ and PTCFA. The latter is the most important variable for use in breeding programs and evaluation of the oil palm as it has positive and significant correlations and direct and/or indirect effect in the correlation value for the increase for both bunches production as well as oil palm production. 650 $acorrelated responses 650 $aElaeis Guineensis 650 $aGermoplasma 653 $aDirect and indirect effects 653 $aOil yield 653 $aPalma de óleo 700 1 $aCUNHA, R. N. V. da 700 1 $aLOPES, R. 700 1 $aSILVA, E. B. da 700 1 $aROCHA, R. N. C. da 700 1 $aLIMA, W. A. A. de 773 $tIndustrial Crops and Products$gv. 112, p. 724-733, Feb. 2018.
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