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Articles by Monica HARMANESCU
Total Records ( 4 ) for Monica HARMANESCU
  Monica HARMANESCU , Despina Maria BORDEAN and Iosif GERGEN
  Not available
  Monica HARMANESCU , Alexandru MOISUC , Veronica SARATEANU , Aurica BOROZAN and Iosif GERGEN
  The aim of this study was to perform a NIR calibration model for crude protein prediction of forages harvested in June 2009 from hill permanent grassland (Gradinari, Caras-Severin District) organized in ten experimental trials fertilized organic, mineral, and organo-mineral. The soil was Calcic Luvisol and the annual average temperature around 10.4°C. The floristic composition was determined gravimetrically. From Poaceae were present Festuca rupicola and Calamagrostis epigejos. Fabaceae family was represented by Trifolium repens and Lathyrus pratensis. From other botanical family: Rosa canina, Filipendula vulgaris, Galium verum and Inula britanica. Like input data was used the results for this parameter by Kjeldahl chemical method and the reflectance values from NIR spectra for analysed samples. Partial last square (PLS) regression was selected to perform the multivariate analysis to obtain the “NIR-CP” model, implemented in Panorama program (version 3, LabCognition, 2009). The statistical parameters (R2=0.8630; RMSEC=1.2844) and the differences between references and predicted values situated in range 0.03 - 1.73 % shows that it is promising to use this calibration model to evaluate the quality of forages from grassland in this period of year.
  Principal Components and Classification Analysis (PC&CA) represents one of the most utilised multivariate chemometric techniques, having the advantage to use many measurements for a single sample in the same time, being recommended for understanding better the complexity of one phenomenon. The aim of this paper was to use PC&CA to study the effects of different types of fertilizers on polyphenols content of forages harvested in autumn from permanent grassland. Gravimetrically was established the matrix of floristic composition. The experimental field was fertilized first time in 2003, organic and/or NPK mineral. The determination of polyphenols contents was made using UV-VIS SPECORD 205 spectrophotometer, in conformity to chemical Folin and Ciocalteu colorimetric method. The highest polyphenols content was identified in forages from unfertilized variant (108 μM gallic acid/g). PC&CA can be a useful tool in describing the modification of polyphenols contents of forages under the effects of organic and/or mineral fertilisation of permanent grassland.
  Monica HARMANESCU , Alexandru MOISUC , Veronica SARATEANU , Marinel HORABLAGA , Aurica BOROZAN , Florina RADU and Iosif GERGEN
  In a permanent grassland agro-ecosystem the floristic composition varied depending on substances flow, soil nutrients availability and climatic conditions (Rotar, 1997; Moisuc et al., 2001). On the floristic composition of forages will depended its quality and the satisfaction of nutritive necessities of animal’s, in relationship with the final quality of row matter (Ammerman et al., 1995; Church&Pond, 1988). The aim of this study was to discuss how the fertilisation influences the floristic composition of hill permanent grassland in spring. Principal Components and Classification Analysis (PC&CA) technique implemented in Statistica 6 software was used to perform the statistical interpretation.
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