基于近红外反射光谱的不同产地豆粕营养成分含量分析

Q4 Agricultural and Biological Sciences
B. Tangendjaja
{"title":"基于近红外反射光谱的不同产地豆粕营养成分含量分析","authors":"B. Tangendjaja","doi":"10.21082/ijas.v21n1.2020.p39-47","DOIUrl":null,"url":null,"abstract":"Near infrared reflectance spectroscopy (NIRS) has become common techniques to estimate chemical composition of feed ingredient for poultry. Two experiments were performed: first was to compare the capability of NIRS system from three laboratories (E, A and T) to measure nutrient composition of soybean meal (SBM); and the second was to evaluate nutrient composition and quality of 59 samples of SBM from Argentine, Brazil and US using NIRS from T-laboratory. Thirty samples of SBM was used in the first study and the result showed that all NIRS systems were able to estimate proximate, amino acids, metabolizable energy (ME) and carbohydrate components. The second experiment indicated that there were some differences in proximate composition (especially protein), total amino acids and digestible amino acids among SBM from different origins. Brazilian SBM had 2% higher protein and amino acid compared to US or Argentine SBM (P<0.05). However, US SBM had slightly higher ME (20 and 40 kcal kg -1 ) compared to Brazilian and Argentine SBM, respectively. ME is positively correlated with protein (0.50) and fat content (0.58) but negatively correlated with fiber (-0.74) and NSP (-0.61). Stepwise regression analysis demonstrated that ME can be estimated using equation ME (kcal kg -1 ) = 75.7 – 21.0 x Fiber + 87.4 x Fat + 32.9 x Protein + 17.6 x NFE with reasonable accuracy (R 2 = 0.995). In conclusion NIRS can be used to estimate nutrient content of SBM. Brazilian SBM has higher protein and amino acids, but US SBM has slightly higher ME content.","PeriodicalId":13456,"journal":{"name":"Indonesian Journal of Agricultural Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"NUTRIENT CONTENT OF SOYBEAN MEAL FROM DIFFERENT ORIGINS BASED ON NEAR INFRARED REFLECTANCE SPECTROSCOPY\",\"authors\":\"B. Tangendjaja\",\"doi\":\"10.21082/ijas.v21n1.2020.p39-47\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Near infrared reflectance spectroscopy (NIRS) has become common techniques to estimate chemical composition of feed ingredient for poultry. Two experiments were performed: first was to compare the capability of NIRS system from three laboratories (E, A and T) to measure nutrient composition of soybean meal (SBM); and the second was to evaluate nutrient composition and quality of 59 samples of SBM from Argentine, Brazil and US using NIRS from T-laboratory. Thirty samples of SBM was used in the first study and the result showed that all NIRS systems were able to estimate proximate, amino acids, metabolizable energy (ME) and carbohydrate components. The second experiment indicated that there were some differences in proximate composition (especially protein), total amino acids and digestible amino acids among SBM from different origins. Brazilian SBM had 2% higher protein and amino acid compared to US or Argentine SBM (P<0.05). However, US SBM had slightly higher ME (20 and 40 kcal kg -1 ) compared to Brazilian and Argentine SBM, respectively. ME is positively correlated with protein (0.50) and fat content (0.58) but negatively correlated with fiber (-0.74) and NSP (-0.61). Stepwise regression analysis demonstrated that ME can be estimated using equation ME (kcal kg -1 ) = 75.7 – 21.0 x Fiber + 87.4 x Fat + 32.9 x Protein + 17.6 x NFE with reasonable accuracy (R 2 = 0.995). In conclusion NIRS can be used to estimate nutrient content of SBM. Brazilian SBM has higher protein and amino acids, but US SBM has slightly higher ME content.\",\"PeriodicalId\":13456,\"journal\":{\"name\":\"Indonesian Journal of Agricultural Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indonesian Journal of Agricultural Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21082/ijas.v21n1.2020.p39-47\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Agricultural and Biological Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indonesian Journal of Agricultural Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21082/ijas.v21n1.2020.p39-47","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 2

摘要

近红外反射光谱法(NIRS)已成为估算家禽饲料成分化学成分的常用技术。进行了两个实验:第一,比较了三个实验室(E、A和T)的近红外系统对豆粕营养成分的测量能力;二是利用T实验室的近红外光谱对来自阿根廷、巴西和美国的59份SBM样品的营养成分和质量进行了评价。在第一项研究中使用了30个SBM样本,结果表明,所有NIRS系统都能够估计邻近的氨基酸、代谢能(ME)和碳水化合物成分。第二个实验表明,不同来源的SBM在接近成分(尤其是蛋白质)、总氨基酸和可消化氨基酸方面存在一定差异。巴西SBM的蛋白质和氨基酸比美国或阿根廷SBM高2%(P<0.05)。然而,美国SBM的ME(分别为20和40 kcal kg-1)略高于巴西和阿根廷SBM。ME与蛋白质(0.50)和脂肪含量(0.58)呈正相关,但与纤维(-0.74)和NSP(-0.61)呈负相关。逐步回归分析表明,使用方程ME(kcal kg-1)=75.7–21.0 x纤维+87.4 x脂肪+32.9 x蛋白质+17.6 x NFE可以估计ME,具有合理的准确性(R2=0.995)。总之,NIRS可以用于估计营养成分含量SBM。巴西SBM的蛋白质和氨基酸含量较高,但美国SBM的ME含量略高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NUTRIENT CONTENT OF SOYBEAN MEAL FROM DIFFERENT ORIGINS BASED ON NEAR INFRARED REFLECTANCE SPECTROSCOPY
Near infrared reflectance spectroscopy (NIRS) has become common techniques to estimate chemical composition of feed ingredient for poultry. Two experiments were performed: first was to compare the capability of NIRS system from three laboratories (E, A and T) to measure nutrient composition of soybean meal (SBM); and the second was to evaluate nutrient composition and quality of 59 samples of SBM from Argentine, Brazil and US using NIRS from T-laboratory. Thirty samples of SBM was used in the first study and the result showed that all NIRS systems were able to estimate proximate, amino acids, metabolizable energy (ME) and carbohydrate components. The second experiment indicated that there were some differences in proximate composition (especially protein), total amino acids and digestible amino acids among SBM from different origins. Brazilian SBM had 2% higher protein and amino acid compared to US or Argentine SBM (P<0.05). However, US SBM had slightly higher ME (20 and 40 kcal kg -1 ) compared to Brazilian and Argentine SBM, respectively. ME is positively correlated with protein (0.50) and fat content (0.58) but negatively correlated with fiber (-0.74) and NSP (-0.61). Stepwise regression analysis demonstrated that ME can be estimated using equation ME (kcal kg -1 ) = 75.7 – 21.0 x Fiber + 87.4 x Fat + 32.9 x Protein + 17.6 x NFE with reasonable accuracy (R 2 = 0.995). In conclusion NIRS can be used to estimate nutrient content of SBM. Brazilian SBM has higher protein and amino acids, but US SBM has slightly higher ME content.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Indonesian Journal of Agricultural Science
Indonesian Journal of Agricultural Science Agricultural and Biological Sciences-Soil Science
CiteScore
1.00
自引率
0.00%
发文量
5
审稿时长
12 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信