• Title/Summary/Keyword: 유단백

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Effect of Milk Protein Intake and Band Exercise on Active Fitness and Metabolism Risk Factor of Elderly Women Through Convergence (융복합을 활용한 유단백 섭취와 탄성밴드운동이 고령여성의 활동체력 및 대사성 위험인자에 미치는 영향)

  • Kim, Sang-Yeob
    • Journal of Digital Convergence
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    • v.14 no.3
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    • pp.489-497
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    • 2016
  • The purpose of this study is to examine the effect of milk protein intake and band exercise on active fitness and metabolism risk factor of elderly women for 8 weeks. The two groups were classified into one group(TG) with milk protein intake and band exercise both, and the other group(CG) that was controled. The group of TG was applied doing milk protein intake 3 times for a day, and doing band exercise 4 times for 60 minutes a week. The intensity of the exercise was RPE<17. Each measurement variable was measured before and after 8 weeks to investigate the effect. This study got the result with this step. First, TG has shown small interaction with active fitness. Second, TG has shown small interaction with metabolism risk factor. Therefore, this study gives us the positive result of the effect of milk protein intake and band exercise on active fitness and metabolism risk factor of elderly women for 8 weeks. However, it has limitation to verify effect of milk protein intake and band exercise.

Soy protein: a high-quality, plant-based protein (대두단백: 고품질의 식물성 단백질)

  • Kim, Yoon A
    • Food Science and Industry
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    • v.51 no.4
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    • pp.270-277
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    • 2018
  • The rising global demand for food and beverages with higher protein content provides manufacturers with great opportunities for innovation and premium positioning of their products as healthy choices. However, the market price volatility and supply risks associated with animal-based proteins can quickly erode margins and profitability. A diversified protein strategy that includes plant-based soy protein greatly improves your ability to predict profitability over time, while maintaining or even improving product quality.

MUN 수준이 번식에 미치는 영향에 관한 연구

  • 정영채;김창근;이호준;윤종택
    • Proceedings of the KSAR Conference
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    • 2001.03a
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    • pp.81-81
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    • 2001
  • 최근 적절한 사양관리를 위해서 유중 요소태질소 수준(MUN)과 유단백을 이용하여 사료 내 에너지와 단백질의 균형을 평가하는 지표로 활용하고 있으며 요소태질소 수준이 정상보다 크게 높거나 낮았을 때 번식능력이 저하되기 때문에 번식효율의 지표로서 활용되고 있다. 따라서 본 연구에서는 우유내 요소태질소 수준이 번식장애에 미치는 영향을 조사하여 요소태질소 수준을 번식장애의 진단지표로 활용하고자 실시하였다. 본 실험에 공시된 우유시료는 경기도 안성시와 이천시에 소재한 낙농목장에서 사육중인 조사두수를 대상으로 개체당 약 30~50$m\ell$의 우유를 채유하고 냉장보관하여 실험실로 운반하였다. 우유의 분석은 유성분분석기(Fosscomb : 4000, Fossmatic 5000, Denmark)를 이용하여 우유의 일반성분인 유지방, 유당, 유단백, 무지고형분, 총고형분, 빙점, 유중요소태질소, 구연산과 체세포를 동시에 분석하였다. 번식장애우의 진단은 낙농가가 번식장애우로 분류한 개체를 대상으로 직장검사 및 초음파 진단기를 이용하여 진단하였다. MUN준에 따른 공태일수의 조사 결과 MUN수준이 7이하 군의 공태일수가 88.98$\pm$120.68로 7-16의 92.20$\pm$105.39와 16이상의 94.42$\pm$87.51보다 다소 낮은 결과를 나타냈다. 또한 번식장애우의 발생빈도와 유성분 분석결과를 살펴보면 낙농가가 번식장애우로 분류한 68두를 진단한 결과 발정발견을 하지 못하여 번식장애우로 분류된 두수가 30두(44.1%)와 비정상두수 38두(55.9%)로 나타났으며 비정상 두수 중 난포난종이 19두(27.9%)로 영구항체6두(8.8%), 자궁내막염(10.3%), 자궁축농증 6두(8.8%)보다 많은 것으로 나타났다. 번식장애우의 유성분 분석결과 자궁축농증이 있는 개체의 유단백 평균이 3.43$\pm$0.35로 다른군에 비해 높았으며 영구항체가 있는 개체군의 MUN수준이 7.73$\pm$8.58로 다른군의 10.84$\pm$4.92, 10.89$\pm$7.38와 10.61$\pm$5.52에 비해 낮게 나타났다.

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Adjustment of heterogeneous variance by milk production level of dairy herd (젖소군의 유생산 수준별 이질성 분산 보정)

  • Cho, Kwang-Hyun;Lee, Joon-Ho;Park, Kyung-Do
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.4
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    • pp.737-743
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    • 2014
  • This experiment was conducted to compare heterogeneity for the variance in dairy cattle population and to induce homogeneity of variance using 502,228 performance test records of dairy cattle. The estimates of heritability for milk yields, fat yields and protein yields were 0.28, 0.26 and 0.24, respectively and the estimate of average breeding value by birth year was lower in HV (heterogenous variance) model than in animal model, collectively. The average breeding values of milk yields, fat yields and protein yields for 545 sire bulls applicable to the criteria of interbull MACE programme were 453.54kg, 10.75kg and 14.33kg, respectively and when the heterogeneity was adjusted they were 432.06kg, 10.15kg and 13.40kg, respectively, which were lower in all milk traits collectively. In animal model, coefficients of phenotypic correlation between dataset I and II were 0.839 in milk yields, 0.821 in fat yields, and 0.837 in protein yields, while in HV model, they were 0.841 in milk yields, 0.820 in fat yields, and 0.836 in protein yields, showing similar results in 2 models. When compared using animal model and HV model, the regression coefficient for ratio of number of daughters by calving year of milk yields increased from 15.157 to 16.105 and that of fat yields increased from =0.227 to =0.196, but that of protein yields decreased from 0.630 to 0.586.