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| 14. |  | COSER, T. R.; PARRON, L. M.; RAMOS, A. K. B. Consórcio de espécies florestais nativas do cerrado com leguminosas forrageiras para recuperação de nascente do Córrego Pindaíba, DF. In: ENCONTRO DE JOVENS TALENTOS DA EMBRAPA CERRADOS, 3., 2007, Planaltina, DF. Resumos apresentados. Planaltina, DF: Embrapa Cerrados, 2007. p. 67. (Embrapa Cerrados. Documentos, 176).| Biblioteca(s): Embrapa Cerrados. |
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Registro Completo
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
19/04/2021 |
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Data da última atualização: |
19/04/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 5 |
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Autoria: |
FONSECA, C. E. L. da; PESSOA FILHO, M. A. C. de P.; BRAGA, G. J.; RAMOS, A. K. B.; CARVALHO, M. A.; FERNANDES, F. D.; KARIA, C. T.; MACIEL, G. A.; ATHAYDE, N. B.; DESSAUNE, S. N. |
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Afiliação: |
CARLOS EDUARDO LAZARINI DA FONSECA, CPAC; MARCO AURELIO CALDAS DE PINHO PESSO, CPAC; GUSTAVO JOSE BRAGA, CPAC; ALLAN KARDEC BRAGA RAMOS, CPAC; MARCELO AYRES CARVALHO, CPAC; FRANCISCO DUARTE FERNANDES, CPAC; CLAUDIO TAKAO KARIA, CPAC; GIOVANA ALCANTARA MACIEL, CPAC; NATALIA BORTOLETO ATHAYDE MACIEL, CPAC; SUELEN NOGUEIRA DESSAUNE TAMEIRAO, CPAC. |
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Título: |
Near-infrared reflectance spectroscopy as a tool for breeding Andropogon gayanusKunth for forage quality. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
IOSR Journal of Agriculture and Veterinary Science, v. 13, n. 6, 2020. |
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Páginas: |
p. 57-66 |
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Idioma: |
Inglês |
|
Conteúdo: |
Abstract: The objective was to investigate the usefulness of Near Infrared Spectroscopy (NIRS) to predict bromatological traits concentrations of gamba grass (Andropogon gayanus Kunth). Random samples from different plant genetic backgrounds, climatic conditions over years, experimental sites, and harvests were used for spectral reading and reference analysis. Partial Least Square (PLS) regressions were used for developing the models with 239 samples for calibration and 119 for external validation. Crude Protein, Ash, and Dry Matter models had R2= 0.91, 0.91, and 0.90 and low standard errors of calibration (SEC) of 8.7, 3.8, and 5.5 g.kg-1 , respectively. Neutral and Acid Detergent Fibers, and Organic Matter had R2 = 0.85, 0.88, and 0.89 and SEC valuesof10.2, 9.4, and 7.9 g.kg-1 , respectively. In vitro digestibility of dry matter had R2= 0.79 and SEC 28.0 g.kg-1 . Acid Detergent Lignin had a poor fit with R2= 0.36.A high correlation between NIRS predictions and wet lab data was observed. Models were adequate and accurate for predicting all bromatological traits but ADL. Significative differences among 51 half-sib families were detected for quality traits predicted throughPLS models. NIRS can be effectively used in gamba grass breeding programs for selecting superior forage quality genotypes. -------------------------------------------------------------------------------------------------------------------------- |
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Palavras-Chave: |
Andropogon gayanus Kunth; Capim gambá; Espectroscopia; Previsão de NIRS; Seleção genotípica. |
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Thesagro: |
Bromatologia; Capim. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/222757/1/Lazarini-Near-infrared-reflectance.pdf
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Marc: |
LEADER 02407naa a2200325 a 4500
001 2131400
005 2021-04-19
008 2020 bl uuuu u00u1 u #d
100 1 $aFONSECA, C. E. L. da
245 $aNear-infrared reflectance spectroscopy as a tool for breeding Andropogon gayanusKunth for forage quality.$h[electronic resource]
260 $c2020
300 $ap. 57-66
520 $aAbstract: The objective was to investigate the usefulness of Near Infrared Spectroscopy (NIRS) to predict bromatological traits concentrations of gamba grass (Andropogon gayanus Kunth). Random samples from different plant genetic backgrounds, climatic conditions over years, experimental sites, and harvests were used for spectral reading and reference analysis. Partial Least Square (PLS) regressions were used for developing the models with 239 samples for calibration and 119 for external validation. Crude Protein, Ash, and Dry Matter models had R2= 0.91, 0.91, and 0.90 and low standard errors of calibration (SEC) of 8.7, 3.8, and 5.5 g.kg-1 , respectively. Neutral and Acid Detergent Fibers, and Organic Matter had R2 = 0.85, 0.88, and 0.89 and SEC valuesof10.2, 9.4, and 7.9 g.kg-1 , respectively. In vitro digestibility of dry matter had R2= 0.79 and SEC 28.0 g.kg-1 . Acid Detergent Lignin had a poor fit with R2= 0.36.A high correlation between NIRS predictions and wet lab data was observed. Models were adequate and accurate for predicting all bromatological traits but ADL. Significative differences among 51 half-sib families were detected for quality traits predicted throughPLS models. NIRS can be effectively used in gamba grass breeding programs for selecting superior forage quality genotypes. --------------------------------------------------------------------------------------------------------------------------
650 $aBromatologia
650 $aCapim
653 $aAndropogon gayanus Kunth
653 $aCapim gambá
653 $aEspectroscopia
653 $aPrevisão de NIRS
653 $aSeleção genotípica
700 1 $aPESSOA FILHO, M. A. C. de P.
700 1 $aBRAGA, G. J.
700 1 $aRAMOS, A. K. B.
700 1 $aCARVALHO, M. A.
700 1 $aFERNANDES, F. D.
700 1 $aKARIA, C. T.
700 1 $aMACIEL, G. A.
700 1 $aATHAYDE, N. B.
700 1 $aDESSAUNE, S. N.
773 $tIOSR Journal of Agriculture and Veterinary Science$gv. 13, n. 6, 2020.
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