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 | Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
29/07/2024 |
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Data da última atualização: |
27/01/2025 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
LOMBARDI, G. M. R.; NUNES, J. A. R.; PARRELLA, R. A. da C.; OLIVEIRA, M. D. B. L. de. |
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Afiliação: |
GABRIELLE MARIA ROMEIRO LOMBARDI, UNIVERSIDADE FEDERAL DE LAVRAS; JOSÉ AIRTON RODRIGUES NUNES, UNIVERSIDADE FEDERAL DE LAVRAS; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS; MICHAEL DAVID BATISTA LUAEMAR DE OLIVEIRA, BARENBRUG DO BRASIL. |
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Título: |
Association between agronomic and biomass component traits using pathway analysis and regression tree techniques in biomass sorghum. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Sugar Tech, v. 26, n. 6, p. 1640-1652, 2024. |
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DOI: |
https://doi.org/10.1007/s12355-024-01437-6 |
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Idioma: |
Inglês |
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Conteúdo: |
The aim of this study was to estimate the correlations among traits in biomass sorghum, estimate the direct and indirect efects, and check for a cause/efect relationship of the traits on the theoretical calorifc value (TCV) through pathway analysis. An additional aim is to provide a complementary technique for analysis of the traits and orientation of breeding programs of biomass sorghum through data mining. A total of 25 hybrids of biomass sorghum were evaluated in a triple square lattice design. The following traits were measured: fowering (FLOW); plant height (PH); fresh biomass yield of the stalk (FBYs), of leaves, and of panicles; dry matter of the stalk and of the leaves (DMl); neutral detergent fber of the stalk and of the leaves; acid detergent fber of the stalk and of the leaves; lignin of the stalk and of the leaves; hemicellulose of the stalk and of the leaves; cellulose concentration of the stalk and of the leaves; and the TCV. The data were placed under exploratory analysis, the mixed model approach, pathway analysis based on genotypic correlations, and the regression tree technique. The traits FLOW, PH, FBYs, DMl, and LIG were considered the main determinants of the changes in the TCV and, therefore, with potential for use in indirect selection. The technique of data mining allowed better visualization of the relationships among the traits, assisting in some explanations regarding the efect of the traits on the TCV. |
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Palavras-Chave: |
Árvore de regressão. |
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Thesagro: |
Bioenergia; Biomassa; Sorghum Bicolor; Sorgo. |
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Thesaurus Nal: |
Biomass. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02224naa a2200241 a 4500
001 2166022
005 2025-01-27
008 2024 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s12355-024-01437-6$2DOI
100 1 $aLOMBARDI, G. M. R.
245 $aAssociation between agronomic and biomass component traits using pathway analysis and regression tree techniques in biomass sorghum.$h[electronic resource]
260 $c2024
520 $aThe aim of this study was to estimate the correlations among traits in biomass sorghum, estimate the direct and indirect efects, and check for a cause/efect relationship of the traits on the theoretical calorifc value (TCV) through pathway analysis. An additional aim is to provide a complementary technique for analysis of the traits and orientation of breeding programs of biomass sorghum through data mining. A total of 25 hybrids of biomass sorghum were evaluated in a triple square lattice design. The following traits were measured: fowering (FLOW); plant height (PH); fresh biomass yield of the stalk (FBYs), of leaves, and of panicles; dry matter of the stalk and of the leaves (DMl); neutral detergent fber of the stalk and of the leaves; acid detergent fber of the stalk and of the leaves; lignin of the stalk and of the leaves; hemicellulose of the stalk and of the leaves; cellulose concentration of the stalk and of the leaves; and the TCV. The data were placed under exploratory analysis, the mixed model approach, pathway analysis based on genotypic correlations, and the regression tree technique. The traits FLOW, PH, FBYs, DMl, and LIG were considered the main determinants of the changes in the TCV and, therefore, with potential for use in indirect selection. The technique of data mining allowed better visualization of the relationships among the traits, assisting in some explanations regarding the efect of the traits on the TCV.
650 $aBiomass
650 $aBioenergia
650 $aBiomassa
650 $aSorghum Bicolor
650 $aSorgo
653 $aÁrvore de regressão
700 1 $aNUNES, J. A. R.
700 1 $aPARRELLA, R. A. da C.
700 1 $aOLIVEIRA, M. D. B. L. de
773 $tSugar Tech$gv. 26, n. 6, p. 1640-1652, 2024.
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