• Journal of The Korean Society of Grassland and Forage Science
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• v.32 no.4
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• pp.419-428
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• 2012

This study was carried out to analyze winter cereal crops for harvest time, proper drying time and haylage quality in order to investigate the possibility of the production of good quality haylage substitute for hay. As a result, in case of productivity and feed value, dry matter yield and TDN yield was increased with late harvest and crude protein and NDF, ADF was decreased (p<0.05). To make haylage for whole crop barley, oats, triticale, whole crop wheat need more than 32 hour wilting time in the milk ripe stage, yellow ripe stage need about 8~24 hour, and wilting time did not need the full ripe stage. Rye does not suitable for making haylage because of difficulty pre-wilting time. In case of fermentative quality on haylage, pH was increased with late harvest on all winter cereal crop forage. Lactic acid content was decreased with late harvest (p<0.05), and highest in the milk ripe stage. Acetic acid was also decreased with late harvest, and butyric acid was not detected. In conclusion, to harvest sooner of winter cereal crops could be an efficient way when making haylage in terms of protein content and fermentation quality. Ray can used as fresh and silage, because difficulty for pre-wilting time in Korea. Whole crop barley, oats, triticale, wheat can be used haylage when harvested yellow ripen stage and pre-wilting time for 8~24 hours.

• Journal of Animal Environmental Science
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• v.18 no.sup
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• pp.81-90
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• 2012

This study was evaluated high end research grade Near infrared spectrophotometer (NIRS) to low end popular field grade multiple Near infrared spectrophotometer (NIRS) for rapid analysis at forage quality at sight with 241 samples of Italian ryegrass silage during 3 years collected whole country for evaluate accuracy and precision between instruments. Firstly collected and build database high end research grade NIRS using with Unity Scientific Model 2500X (650 nm~2,500 nm) then trim and fit to low end popular field grade NIRS with Unity Scientific Model 1400 (1,400 nm~2,400 nm) then build and create calibration, transfer calibration with special transfer algorithm. The result between instruments was 0.000%~0.343% differences, rapidly analysis for chemical constituents, NDF, ADF, and crude protein, crude ash and fermentation parameter such as moisture, pH and lactic acid, finally forage quality parameter, TDN, DMI, RFV within 5 minutes at sight and the result equivalent with laboratory data. Nevertheless during 3 years collected samples for build calibration was organic samples that make differentiate by local or yearly bases etc. This strongly suggest population evaluation technique needed and constantly update calibration and maintenance calibration to proper handling database accumulation and spread out by knowledgable control laboratory analysis and reflect calibration update such as powerful control center needed for long lasting usage of forage analysis with NIRS at sight. Especially the agriculture products such as forage will continuously changes that made easily find out the changes and update routinely, if not near future NIRS was worthless due to those changes. Many research related NIRS was shortly study not long term study that made not well using NIRS, so the system needed check simple and instantly using with local language supported signal methods Global Distance (GD) and Neighbour Distance (ND) algorithm. Finally the multiple popular field grades instruments should be the same results not only between research grade instruments but also between multiple popular field grade instruments that needed easily transfer calibration and maintenance between instruments via internet networking techniques.