• Title/Summary/Keyword: Saechalssal bori

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Physicochemical Properties and Cooking Quality of Naked Waxy Barley (Saechalssal bon) (새찰쌀보리의 물리화학적 특성 및 취반특성)

  • Jun, Hyun-Il;Cha, Mi-Na;Song, Geun-Seoup;Yoo, Chang-Sung;Kim, Yun-Tae;Kim, Young-Soo
    • Food Science and Preservation
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    • v.18 no.2
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    • pp.165-170
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    • 2011
  • The physicochemical properties and cooking quality of Saechalssal bori (25% pearled ratio), which is a naked waxy barley, were investigated. The amylose, insoluble dietary fiber (IDF), soluble dietary fiber (SDF), total dietary fiber (TDF), and ${\beta}$-glucan contents of Saechalssal bori were 5.2, 10.8, 9.5, 20.3, and 3.7%, respectively. Pasting temperature, peak and final viscosity, and setback of Saechalssal bori were $66.5^{\circ}C$, 383.2, 231.3, and 55.6 RVU, respectively. The water absorption, expansibility, and soluble solid of Saechalssal bori were 232.2, 405.3, and 3.5%, respectively. As the ratio of water to grain increased, L value increased, whereas a and b values were decreased. The sensory evaluation showed that wateriness and overall acceptability increased with increasing ratio of water to grain, resulting in determining 2.1 times as the optimum ratio of water to grain. The cooked Saechalssal bori prepared using optimum condition had hardness (1.2 kg), cohesiveness (4.0), springiness (1.0), gumminess (5.1), chewiness (5.3), adhesiveness (0.2 kg), and A/H (0.8), respectively.

Selection of Optimal Vegetation Indices for Estimation of Barley & Wheat Growth based on Remote Sensing - An Application of Unmanned Aerial Vehicle and Field Investigation Data - (원격탐사 기반 맥류 작황 추정을 위한 최적 식생지수 선정 - UAV와 현장 측정자료를 활용하여 -)

  • Na, Sang-il;Park, Chan-won;Cheong, Young-kuen;Kang, Chon-sik;Choi, In-bae;Lee, Kyung-do
    • Korean Journal of Remote Sensing
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    • v.32 no.5
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    • pp.483-497
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    • 2016
  • Unmanned Aerial Vehicle (UAV) imagery are being assessed for analyzing within field spatial variability for agricultural precision management, because UAV imagery may be acquired quickly during critical periods of rapid crop growth. This study refers to the derivation of barley and wheat growth prediction equation by using UAV derived vegetation index. UAV imagery was taken on the test plots six times from late February to late June during the barley and wheat growing season. The field spectral reflectance during growing period for the 5 variety (Keunal-bori, Huinchalssal-bori, Saechalssal-bori, Keumkang and Jopum) were measured using ground spectroradiometer and three growth parameters, including plant height, shoot dry weight and number of tiller were investigated for each ground survey. Among the 6 Vegetation Indices (VI), the RVI, NDVI, NGRDI and GLI between measured and image derived showed high relationship with the coefficient of determination respectively. Using the field investigation data, the vegetation indices regression curves were derived, and the growth parameters were tried to compare with the VIs value.