This study was conducted in Cheonan of central region in South Korea to evaluate the forage characteristics of early-maturing Italian ryegrass (IRG) within September, 2021 to June, 2023. The three different varieties of Italian ryegrass were prepared in this study 'Kogreen', 'Kospeed' and 'Kowinearly'. The results of heading date in this study, 'Kogreen' was the earliest in among cultivars and recorded 24th of April, whereas 'Kowinearly' was recorded the latest. In case of plant length parameter, 'Kowinearly' was the highest, in addition lodge tolerance score 'Kowinearly' also superior in whole cultivars. The dry matter yield of 'Kowinearly' was recorded significantly the highest (11,027 kg/ha), in contrast 'Kospeed' was recorded significantly the lowest (8,455 kg/ha). As a result of ADF and NDF content 'Kospeed' was recorded excellent value as compared the other two cultivars. The CP content of this study was excellent in the order of 'Kospeed' > 'Kowinearly' > 'Kogreen'. In case of the monosaccharides content 'Kogreen' had relatively higher glucose and fructose content than other four cultivars, therefore the 'Kogreen' has advantage for preparing high quality of silage. In conclusion, among the three different early varieties of Italian ryegrass, 'Kowinearly' was the superior in forage productivity, 'Kospeed' was the highest in feed value and 'Kospeed' had the highest in glucose and fructose content.
The aim of this study was to investigate the feasibility of discrimination 12 different cultivar of sorghum × sudangrass hybrid (Sorghum genus) seed through near infrared spectroscopy (NIRS). The amount of samples for develop to the best discriminant equation was 360. Whole samples were applied different three spectra range (visible, NIR and full range) within 680-2500 nm wavelength and the spectrastar 2500 Near near infrared was used to measure spectra. The calibration equation for discriminant analysis was developed partial least square (PLS) regression and discrimination equation (DE) analysis. The PLS discriminant analysis model for three spectra range developed with mathematic pretreatment 1,8,8,1 successfully discriminated 12 different sorghum genus. External validation indicated that all samples were discriminated correctly. The whole discriminant accuracy shown 82 ~ 100 % in NIR full range spectra. The results demonstrated the usefulness of NIRS combined with chemometrics as a rapid method for discrimination of sorghum × sudangrass hybrid cultivar through seed.