Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131400
Research center of Embrapa/Collection: Embrapa Cerrados - Artigo em periódico indexado (ALICE)
Date Issued: 2020
Type of Material: Artigo em periódico indexado (ALICE)
Authors: 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.
Additional Information: 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.
Title: Near-infrared reflectance spectroscopy as a tool for breeding Andropogon gayanusKunth for forage quality.
Publisher: IOSR Journal of Agriculture and Veterinary Science, v. 13, n. 6, 2020.
Pages: p. 57-66
Language: Ingles
Keywords: Seleção genotípica
Previsão de NIRS
Capim gambá
Andropogon gayanus Kunth
Espectroscopia
Description: 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. --------------------------------------------------------------------------------------------------------------------------
Thesagro: Capim
Bromatologia
Data Created: 2021-04-19
Appears in Collections:Artigo em periódico indexado (CPAC)

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