Article(id=1309573328558457086, tenantId=1146029695717560320, journalId=1308397196074385509, issueId=1309573278520406630, articleNumber=null, orderNo=null, doi=10.11733/j.issn.1007-0435.2026.05.028, pmid=null, cstr=null, oa=null, hot=0, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1748966400000, receivedDateStr=2025-06-04, revisedDate=1761408000000, revisedDateStr=2025-10-26, acceptedDate=null, acceptedDateStr=null, onlineDate=1790156212224, onlineDateStr=2026-09-23, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790156212224, onlineIssueDateStr=2026-09-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790156212224, creator=13701087609, updateTime=1790156212224, updator=13701087609, issue=Issue{id=1309573278520406630, tenantId=1146029695717560320, journalId=1308397196074385509, year='2026', volume='34', issue='5', pageStart='1557', pageEnd='1962', issueExtLink='null', onlineDate='null', pubDate='1778774400000', pubDateStr='2026-05-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1790156200293, creator='13701087609', updateTime=1790156821973, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1309575886110814336, tenantId=1146029695717560320, journalId=1308397196074385509, issueId=1309573278520406630, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1309575886115008641, tenantId=1146029695717560320, journalId=1308397196074385509, issueId=1309573278520406630, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1878, endPage=1888, ext={EN=ArticleExt(id=1309573331481886978, articleId=1309573328558457086, tenantId=1146029695717560320, journalId=1308397196074385509, language=EN, title=Rapid Detection of Mulberry Silage Quality Based on Near-Infrared Characteristic Spectral Interval Extraction, columnId=null, journalTitle=Acta Agrestia Sinica, columnName=null, runingTitle=null, highlight=null, articleAbstract=To advance the application of near-infrared (NIR) spectroscopy in assessing the quality of mulberry (Morus alba L.) silage, a total of 105 silage samples were collected. Interval Partial Least Squares (iPLS) was employed to extract informative spectral intervals, and rapid NIR prediction models were subsequently developed using Partial Least Squares (PLS). The results indicated that the models for crude protein, acid detergent fiber, neutral detergent fiber, and pH exhibited the best performance and were suitable for practical prediction (R2cv, R2p>0.8; RPDcv, RPDp>2.5). Models for dry matter, lactic acid, and condensed tannins demonstrated moderate performance and were adequate for approximate estimation (2<RPDcv<2.5; 2<RPDp<2.5). In contrast, the model for hydrolyzable tannins required further refinement (RPDp<2). Collectively, these findings suggest that models constructed based on characteristic spectral intervals offer enhanced stability and predictive accuracy. This approach provides a theoretical basis and technical support for the efficient production and utilization of mulberry silage, while also offering valuable insights for the development of NIR analytical instrumentation., authors=LI Qin-yu1, YANG Xue-ping1, YANG Fu-yu1,2, NI Kui-kui1, authorsList=LI Qin-yu, YANG Xue-ping, YANG Fu-yu, NI Kui-kui, authorCompany=1 College of Grassland Science and Technology, China Agricultural University, Beijing 100193, China; 2 College of Animal Science, Guizhou University, Guiyang, Guizhou Province 550025, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1309573329451843841, articleId=1309573328558457086, tenantId=1146029695717560320, journalId=1308397196074385509, language=CN, title=特征光谱提取法在饲料桑青贮品质近红外光谱快速检测技术中的应用, columnId=1309565376569114713, journalTitle=草地学报, columnName=技术研发, runingTitle=null, highlight=null, articleAbstract=为实现近红外光谱分析技术在饲料桑(Morus alba L.)青贮饲料品质上的应用,本研究收集105份饲料桑青贮样品,基于区间偏最小二乘法(interval Partial Least Squares,iPLS)提取饲料桑青贮的特征光谱区间,并采用偏最小二乘法(Partial Least Squares,PLS)构建了近红外快速检测模型。结果表明,粗蛋白、酸性洗涤纤维、中性洗涤纤维、pH的模型最优,能够用于实际预测(R²cv,R²p>0.8; RPDcv,RPDp>2.5);干物质、乳酸、缩合单宁的模型较好,可以进行粗略预测(2<RPDcv<2.5,2<RPD<2.5);水解单宁的模型则需进一步优化(RPDp<2)。因此,基于特征光谱法建立的模型在稳定性及预测精度方面更具优势,可以为饲料桑青贮高效生产与利用提供理论依据与技术支持,同时为近红外分析仪器开发提供思路。, authors=李沁雨1, 杨雪萍1, 杨富裕1,2, 倪奎奎1, authorsList=李沁雨, 杨雪萍, 杨富裕, 倪奎奎, authorCompany=1 中国农业大学草业科学与技术学院, 北京 100193; 2 贵州大学动物科学学院, 贵州 贵阳 550025, correspAuthors=null, authorNote=李沁雨(2000-),女,汉族,新疆伊犁人,博士研究生,主要从事牧草加工利用研究,E-mail:b20243241329@cau.edu.cn, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=mITx6V45g+BFYpRi9uOJRw==, pdfFileSize=1888351, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=畜禽饲料饲草精细化加工技术研究 (2021YFD1300300))}, authors=null, keywords=[Keyword(id=1309573332291387653, tenantId=1146029695717560320, journalId=1308397196074385509, articleId=1309573328558457086, language=CN, orderNo=1, keyword=饲料桑青贮), Keyword(id=1309573332371079430, tenantId=1146029695717560320, journalId=1308397196074385509, articleId=1309573328558457086, language=CN, orderNo=2, keyword=青贮饲料), Keyword(id=1309573332748566792, tenantId=1146029695717560320, journalId=1308397196074385509, articleId=1309573328558457086, language=CN, orderNo=3, keyword=近红外光谱), Keyword(id=1309573333142831369, tenantId=1146029695717560320, journalId=1308397196074385509, articleId=1309573328558457086, language=CN, orderNo=4, keyword=特征光谱提取), Keyword(id=1309573333218328842, tenantId=1146029695717560320, journalId=1308397196074385509, articleId=1309573328558457086, language=CN, orderNo=5, keyword=化学计量学), Keyword(id=1309573333654536461, tenantId=1146029695717560320, journalId=1308397196074385509, articleId=1309573328558457086, language=EN, orderNo=1, keyword=Mulberry silage), Keyword(id=1309573334388539662, tenantId=1146029695717560320, journalId=1308397196074385509, articleId=1309573328558457086, language=EN, orderNo=2, keyword=Silage), Keyword(id=1309573336087232783, tenantId=1146029695717560320, journalId=1308397196074385509, articleId=1309573328558457086, language=EN, orderNo=3, keyword=Near-Infrared Spectroscopy (NIRS)), Keyword(id=1309573336238227729, tenantId=1146029695717560320, journalId=1308397196074385509, articleId=1309573328558457086, language=EN, orderNo=4, keyword=Characteristic spectrum extraction), Keyword(id=1309573336569577746, tenantId=1146029695717560320, journalId=1308397196074385509, articleId=1309573328558457086, language=EN, orderNo=5, keyword=Chemometrics)], refs=null, funds=null, companyList=null, figs=null, attaches=null, journal=Journal(id=1308395841968504927, delFlag=0, nameCn=草地学报, nameEn=Acta Agrestia Sinica, nameHistory1=null, nameHistory2=null, issn=1007-0435, eissn=null, cn=11-3362/S, coden=null, periodic=0, language=CN, oaType=null, ccby=null, superviseOffice=null, ownerOffice=null, pubOffice=null, editorOffice=null, officeType=null, aims=null, clcCode=null, officeProv=null, officeCity=null, officeAddr=null, officeZip=null, officeEmail=null, officePhone=null, editDirector=null, officeDirector=null, officeDirectorPhone=null, officeStaffNum=null, officeEmpNum=null, coverPicUrl=gCdi9sXCX82eLR6S1d4VLg==, journalPrice=null, startedYear=null, abbrevIsoEn=Acta Agrestia Sinica, journalRemark=null, publicationField=null, createdTime=1789875477545, updatedTime=1789876241473, createdBy=18614031015, updatedBy=13701087609, firstLetterCn=C, firstLetterEn=C, subjectCode=Agriculture, subjectName=null, subjectCodeEn=Agriculture, subjectNameEn=null, picCn=gCdi9sXCX82eLR6S1d4VLg==, picEn=4dKqEDfsaGuyf+bpm/3gfw==, jcr=null, cjcr=null, exts=[JournalExt(id=1308399046192812446, language=CN, name=草地学报, nameHistory1=null, nameHistory2=null, managedBy=, sponsoredBy=, publishedBy=, editorOffice=, officeProv=null, officeCity=null, officeAddr=, officeZip=, editDirector=, officeDirector=null, officePhone=null, coverPicUrl=null, journalRemark=, submitArticleUrl=null, websiteUrl=, createdTime=1789876241491, updatedTime=1789876241491, createdBy=13701087609, updatedBy=13701087609, submissionGuidelinesUrl=, submissionAuthorUrl=https://manu40.magtech.com.cn/JournalX_cdxb/authorLogOn.action, submissionEditorUrl=https://manu40.magtech.com.cn/JournalX_cdxb/editorLogOn.action, submissionReviewUrl=https://manu40.magtech.com.cn/JournalX_cdxb/expertLogOn.action, submissionCeEditorUrl=, submissionAeEditorUrl=, option={"copyright":""}), JournalExt(id=1308399046268309919, language=EN, name=Acta Agrestia Sinica, nameHistory1=null, nameHistory2=null, managedBy=, sponsoredBy=, publishedBy=, editorOffice=, officeProv=null, officeCity=null, officeAddr=, officeZip=, editDirector=, officeDirector=null, officePhone=null, coverPicUrl=null, journalRemark=, submitArticleUrl=null, websiteUrl=, createdTime=1789876241509, updatedTime=1789876241509, createdBy=13701087609, updatedBy=13701087609, submissionGuidelinesUrl=, submissionAuthorUrl=https://manu40.magtech.com.cn/JournalX_cdxb/authorLogOn.action, submissionEditorUrl=https://manu40.magtech.com.cn/JournalX_cdxb/editorLogOn.action, submissionReviewUrl=https://manu40.magtech.com.cn/JournalX_cdxb/expertLogOn.action, submissionCeEditorUrl=, submissionAeEditorUrl=, option={"copyright":""})], databaseList=null, tenantJournalId=1308397196074385509, websiteList=[Website(id=1308429426430071695, webName=null, webTitle=null, webDomain=null, webCopyrigh=null, webIpcNo=null, seoTitle=null, seoKeywords=null, seoDescription=null, tenantJournalId=null, journalId=1308397196074385509, journalNameCn=null, journalNameEn=null, grayFlag=null, tenantId=1146029695717560320, platformId=null, journalGroupId=null, journalGroupNameCn=null, journalGroupNameEn=null, type=1, domain=https://castjournals.cast.org.cn/joweb/cdxb/CN, language=CN, createTime=1789883484704, createBy=18614031015, updateTime=1789883745058, updateBy=18614031015, name=草地学报-中文, tplId=1146099689490845704, title=草地学报, delFlag=0, indexPage=/home, props=[WebsiteProps(id=1308430669353340972, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426430071695, code=articleTextType, value=kx, createTime=1789883781040, updateTime=1789883781040, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430669328175145, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426430071695, code=banner, value=null, createTime=1789883781034, updateTime=1789883781034, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430669382701103, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426430071695, code=grayFlag, value=0, createTime=1789883781047, updateTime=1789883781047, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430669319786536, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426430071695, code=logo, value=https://castjournals.cast.org.cn/joweb/cdxb/CN/file/pic?fileId=BZ28lIoKdB54MmA0z6K66g==, createTime=1789883781032, updateTime=1789883781032, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430669395284017, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426430071695, code=minRunFlag, value=0, createTime=1789883781050, updateTime=1789883781050, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430669344952363, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426430071695, code=picServerUrl, value=https://castjournals.cast.org.cn/joweb/cdxb/CN/file/pic, createTime=1789883781038, updateTime=1789883781038, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430669391089712, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426430071695, code=silenceFlag, value=0, createTime=1789883781049, updateTime=1789883781049, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430669336563754, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426430071695, code=staticResourcePath, value=https://castjournals.cast.org.cn/joweb/cast_kjdb_cn_619/, createTime=1789883781036, updateTime=1789883781036, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430669361729581, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426430071695, code=themeColor, value=null, createTime=1789883781042, updateTime=1789883781042, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430669370118190, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426430071695, code=themeStyle, value=null, createTime=1789883781044, updateTime=1789883781044, creator=18614031015, updator=18614031015)]), Website(id=1308429426501374870, webName=null, webTitle=null, webDomain=null, webCopyrigh=null, webIpcNo=null, seoTitle=null, seoKeywords=null, seoDescription=null, tenantJournalId=null, journalId=1308397196074385509, journalNameCn=null, journalNameEn=null, grayFlag=null, tenantId=1146029695717560320, platformId=null, journalGroupId=null, journalGroupNameCn=null, journalGroupNameEn=null, type=1, domain=https://castjournals.cast.org.cn/joweb/cdxb/EN, language=EN, createTime=1789883484721, createBy=18614031015, updateTime=1789883716139, updateBy=18614031015, name=草地学报-英文, tplId=1146101810881728533, title=Acta Agrestia Sinica, delFlag=0, indexPage=/home, props=[WebsiteProps(id=1308430635979264030, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426501374870, code=articleTextType, value=kx, createTime=1789883773083, updateTime=1789883773083, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430635954098203, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426501374870, code=banner, value=null, createTime=1789883773077, updateTime=1789883773077, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430636000235553, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426501374870, code=grayFlag, value=0, createTime=1789883773088, updateTime=1789883773088, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430635945709594, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426501374870, code=logo, value=https://castjournals.cast.org.cn/joweb/cdxb/EN/file/pic?fileId=BZ28lIoKdB54MmA0z6K66g==, createTime=1789883773075, updateTime=1789883773075, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430636012818467, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426501374870, code=minRunFlag, value=0, createTime=1789883773091, updateTime=1789883773091, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430635970875421, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426501374870, code=picServerUrl, value=https://castjournals.cast.org.cn/joweb/cdxb/EN/file/pic, createTime=1789883773081, updateTime=1789883773081, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430636004429858, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426501374870, code=silenceFlag, value=0, createTime=1789883773089, updateTime=1789883773089, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430635962486812, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426501374870, code=staticResourcePath, value=https://castjournals.cast.org.cn/joweb/cast_kjdb_en_623/, createTime=1789883773079, updateTime=1789883773079, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430635987652639, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426501374870, code=themeColor, value=null, createTime=1789883773085, updateTime=1789883773085, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430635991846944, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426501374870, code=themeStyle, value=null, createTime=1789883773086, updateTime=1789883773086, creator=18614031015, updator=18614031015)])], journalTitle=草地学报, weixinUrl=null, journalUrl=https://manu40.magtech.com.cn/Jweb_cdxb, iacademicId=null, status=1, seqNo=null, journalTitleEn=Acta Agrestia Sinica, journalPhotoCn=gCdi9sXCX82eLR6S1d4VLg==, journalPhotoEn=4dKqEDfsaGuyf+bpm/3gfw==, journalFirstLetter=C, journalRecommend=null, journalNew=null, journalCollection=null, jcrJf=null, cjcrJf=null, jcrJfStr=null, cjcrJfStr=null, submissionFirstDecision=null, sciSubjectClassification=null, casSubjectClassification=null, citeScore=null, totalCitationFrequency=null, icpCode=null, psCode=null, advertisingLicenseCode=null, copyrightInformation=null, country=null, option=, provinceCode=null, provinceName=null, collectFlag=false, interPubPlatform=, interPubPlatformUrl=null), detailUrlCn=https://castjournals.cast.org.cn/joweb/cdxb/CN/10.11733/j.issn.1007-0435.2026.05.028, detailUrlEn=https://castjournals.cast.org.cn/joweb/cdxb/EN/10.11733/j.issn.1007-0435.2026.05.028, pdfUrlCn=https://castjournals.cast.org.cn/joweb/cdxb/CN/PDF/10.11733/j.issn.1007-0435.2026.05.028, pdfUrlEn=https://castjournals.cast.org.cn/joweb/cdxb/EN/PDF/10.11733/j.issn.1007-0435.2026.05.028, aliStartDate=null, aliEndDate=null, collectionFlag=false, citedCount=null, citedUrl=null, previewStatus=0, delFlag=0, hasFullText=0, orderTime=1778774400000, fullTextJson=null, articleText=null, reference=XU X F, HE Z Y, DONG H. Application of protein mulberry in livestock and poultry production[J]. Chinese Journal of Animal Science, 2024, 60(3):66-72, 78 徐晓峰, 何至远, 董虹. 蛋白桑在畜禽生产上的应用研究进展[J]. 中国畜牧杂志, 2024, 60(3):66-72, 78 HUANG Z R, YANG J, LÜ X J. The utilization and development of mulberry as animal forage[J]. Science of Sericulture, 2006, 32(3):377-385 黄自然, 杨军, 吕雪娟. 桑树作为动物饲料的应用价值与研究进展[J]. 蚕业科学, 2006, 32(3):377-385 HUANG J P, ZHAO W G, YANG Z J, et al. Effects of forage mulberry addition on performance, immune and antioxidant function and rumen microflora of perinatal Holstein dairy cows[J]. Chinese Journal of Animal Nutrition, 2023, 35(11):7224-7234 黄军鹏, 赵卫国, 杨赵军, 等. 添加饲料桑对围产期奶牛生产性能、免疫和抗氧化功能及瘤胃微生物区系的影响[J]. 动物营养学报, 2023, 35(11):7224-7234 WANG J Y, XIE Y F, LI L, et al. Effects of adding different levels of tannic acid on rumen fermentation parameters and methane production of sheep in vitro method[J]. China Animal Husbandry & Veterinary Medicine, 2020, 47(5):1436-1443 王敬尧, 解湧芳, 丽丽, 等. 添加不同水平单宁酸对绵羊体外发酵参数和甲烷产量的影响[J]. 中国畜牧兽医, 2020, 47(5):1436-1443 WAFULA E N, ONDUSO M, WAINAINA I N, et al. Antinutrient to mineral molar ratios of raw common beans and their rapid prediction using near-infrared spectroscopy[J]. Food Chemistry, 2022, 368:130773 ZHAO Y M, XU W, AN R R, et al. Effects of tannin, glucoside and phytic acid in feed on livestock or poultry and their degradation methods[J]. Feed Industry, 2024, 45(7):119-125 赵一鸣, 徐文, 安容容, 等. 饲料中单宁、硫代葡萄糖苷和植酸对畜禽的影响及其降解方法[J]. 饲料工业, 2024, 45(7):119-125 JIANG Z J, HOU Q R, HOU W Y, et al. Nutritional value and antinutritional factors of mulberry leaves, paper mulberry leaves and elm leaves and their applications in livestock production[J]. Feed Industry, 2023, 44(18):25-29 蒋子洁, 侯启瑞, 侯文玉, 等. 桑叶、构树叶、榆树叶营养价值、抗营养因子及其在畜牧生产中的应用[J]. 饲料工业, 2023, 44(18):25-29 LIU C M, ZHONG R Y, XIAO D F. Production technology and nutritional function of silage mulberry leaves and its application effect in ruminants[J]. China Feed, 2022(7):126-130 刘纯铭, 钟如意, 肖定福. 青贮桑叶的生产工艺、营养作用及其在反刍动物上的应用效果研究进展[J]. 中国饲料, 2022(7):126-130 ZHANG Y C, YIN S L, WANG Y W, et al. Research progress of woody forage silage[J]. Biotechnology Bulletin, 2021, 37(9):48-57 张颖超, 尹守亮, 王一炜, 等. 木本饲料青贮研究进展[J]. 生物技术通报, 2021, 37(9):48-57 CHU X L, SHI Y Y, CHEN P, et al. Research and application progresses of near infrared spectroscopy analytical technique in China in past five years[J]. Journal of Instrumental Analysis, 2019, 38(5):603-611 褚小立, 史云颖, 陈瀑, 等. 近五年我国近红外光谱分析技术研究与应用进展[J]. 分析测试学报, 2019, 38(5):603-611 STUTH J, JAMA A, TOLLESON D. Direct and indirect means of predicting forage quality through near infrared reflectance spectroscopy[J]. Field Crops Research, 2003, 84(1/2):45-56 CHELI F, BATTAGLIA D, PINOTTI L, et al. State of the art in feedstuff analysis: a technique-oriented perspective[J]. Journal of Agricultural and Food Chemistry, 2012, 60(38):9529-9542 PASQUINI C. Near Infrared Spectroscopy: fundamentals, practical aspects and analytical applications[J]. Journal of the Brazilian Chemical Society, 2003, 14(2):198-219 YAN Y L, ZHAO L L, LI J H, et al. Information technology of modern NIR spectral analysis[J]. Spectroscopy and Spectral Analysis, 2000, 20(6):777-780 严衍禄, 赵龙莲, 李军会, 等. 现代近红外光谱分析的信息处理技术[J]. 光谱学与光谱分析, 2000, 20(6):777-780 OSBORNE B G. Near infrared spectroscopy in food analysis[J]. Encyclopedia of Analytical Chemistry, 2006(9):1-14 NORRIS K H, BARNES R F, MOORE J E, et al. Predicting forage quality by infrared replectance spectroscopy[J]. Journal of Animal Science, 1976, 43(4):889-897 MIAO X X, MIAO Y, LIU Y, et al. Measurement of nitrogen content in rice plant using near infrared spectroscopy combined with different PLS algorithms[J]. Spectrochimica Acta Part A:Molecular and Biomolecular Spectroscopy, 2023, 284:121733 CHEN H, LIN Z, TAN C. Fast discrimination of the geographical origins of notoginseng by near-infrared spectroscopy and chemometrics[J]. Journal of Pharmaceutical and Biomedical Analysis, 2018, 161:239-245 NØRGAARD L, SAUDLAND A, WAGNER J, et al. Interval partial least-squares regression (iPLS): a comparative chemometric study with an example from near-infrared spectroscopy[J]. Applied Spectroscopy, 2000, 54(3):413-419 ZHU D, ZHANG P H, ZHAO M, et al. Rumen degradation characteristics of different neutral detergent fiber/starch ratio diets in dairy cattle[J]. Pratacultural Science, 2015, 32(12):2122-2130 朱丹, 张佩华, 赵勐, 等. 不同NDF与淀粉比例饲粮在奶牛瘤胃的降解特性[J]. 草业科学, 2015, 32(12):2122-2130 WEI G T, WANG D. Determination of crude protein content in wheat in Yancheng City by Dumas combustion method[J]. Modern Food, 2023, 29(23):176-178 魏国涛, 王栋. 杜马斯燃烧法测定盐城市小麦粗蛋白含量[J]. 现代食品, 2023, 29(23):176-178 VAN SOEST P J, ROBERTSON J B, LEWIS B A. Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition[J]. Journal of Dairy Science, 1991, 74(10):3583-3597 JUNG J S, RAVINDRAN B, SOUNDHARRAJAN I, et al. Improved performance and microbial community dynamics in anaerobic fermentation of Triticale silages at different stages[J]. Bioresource Technology, 2022, 345:126485 BRODERICK G A, KANG J H. Automated simultaneous determination of ammonia and total amino acids in ruminal fluid and in vitro Media1[J]. Journal of Dairy Science, 1980, 63(1):64-75 MAKKAR H P S, BECKER K. Vanillin-HCl method for condensed tannins: effect of organic solvents used for extraction of tannins[J]. Journal of Chemical Ecology, 1993, 19(4):613-621 WANG N W, XIONG Y, WANG X K, et al. Effects of Lactobacillus plantarum on fermentation quality and anti-nutritional factors of paper mulberry silage[J]. Fermentation, 2022, 8(4):144 CZARNECKI M A, MORISAWA Y, FUTAMI Y, et al. Advances in molecular structure and interaction studies using near-infrared spectroscopy[J]. Chemical Reviews, 2015, 115(18):9707-9744 RANZAN C, STROHM A, RANZAN L, et al. Wheat flour characterization using NIR and spectral filter based on Ant Colony Optimization[J]. Chemometrics and Intelligent Laboratory Systems, 2014, 132:133-140 ZOU X B, ZHAO J W, POVEY M J W, et al. Variables selection methods in near-infrared spectroscopy[J]. Analytica Chimica Acta, 2010, 667(1/2):14-32 PEREIRA A F C, PONTES M J C, NETO F F G, et al. NIR spectrometric determination of quality parameters in vegetable oils using iPLS and variable selection[J]. Food Research International, 2008, 41(4):341-348 MUKHERJEE S, LASKAR S. Vis-NIR-based optical sensor system for estimation of primary nutrients in soil[J]. Journal of Optics, 2019, 48(1):87-103 CHEN J, REN X, ZHANG Q, et al. Determination of protein, total carbohydrates and crude fat contents of foxtail millet using effective wavelengths in NIR spectroscopy[J]. Journal of Cereal Science, 2013, 58(2):241-247 JI Q G, LI C F, FU X S, et al. Protected geographical indication discrimination of Zhejiang and non-Zhejiang ophiopogonis japonicus by near-infrared (NIR) spectroscopy combined with chemometrics: the influence of different stoichiometric and spectrogram pretreatment methods[J]. Molecules, 2023, 28(6):2803 CHEN J S, ZHU R F, ZHANG Q, et al. Research on the rapid determination of conventional nutritional components of Leymus chinensis by establishing near infrared characteristic wavelength model[J]. Acta Agrestia Sinica, 2019, 27(4):867-873 陈积山, 朱瑞芬, 张强, 等. 建立近红外特征波长模型快速测定羊草常规营养成分的研究[J]. 草地学报, 2019, 27(4):867-873 RILEY M R, ARNOLD M A, MURHAMMER D W. Effect of sample complexity on quantification of analytes in aqueous samples by near-infrared spectroscopy[J]. Applied Spectroscopy, 2000, 54(2):255-261 BEĆ K B, GRABSKA J, KIRCHLER C G, et al. NIR spectra simulation of thymol for better understanding of the spectra forming factors, phase and concentration effects and PLS regression features[J]. Journal of Molecular Liquids, 2018, 268:895-902 TIAN L M, CHEN F, LIN Y L, et al. Research on detecting nutritional quality of forage oat silage by near infrared spectroscopy[J]. Acta Agrestia Sinica, 2023, 31(12):3841-3850 田丽梅, 陈菲, 林炎丽, 等. 近红外光谱检测燕麦饲草青贮营养品质研究[J]. 草地学报, 2023, 31(12):3841-3850 YUN Y H, LI H D, DENG B C, et al. An overview of variable selection methods in multivariate analysis of near-infrared spectra[J]. TrAC Trends in Analytical Chemistry, 2019, 113:102-115 ZHOU X H, XIANG B R, WANG Z M, et al. Determination of quercetin in extracts of Ginkgo biloba L. leaves by near‐infrared reflectance spectroscopy based on interval partial least‐squares (iPLS) model[J]. Analytical Letters, 2007, 40(18):3383-339 FU J S, YU H D, CHEN Z, et al. A review on hybrid strategy-based wavelength selection methods in analysis of near-infrared spectral data[J]. Infrared Physics & Technology, 2022, 125:104231)
Rapid Detection of Mulberry Silage Quality Based on Near-Infrared Characteristic Spectral Interval Extraction
LI Qin-yu1, YANG Xue-ping1, YANG Fu-yu1,2, NI Kui-kui1
Affiliations
1 College of Grassland Science and Technology, China Agricultural University, Beijing 100193, China; 2 College of Animal Science, Guizhou University, Guiyang, Guizhou Province 550025, China
doi: 10.11733/j.issn.1007-0435.2026.05.028
文章导航
摘要
收起
为实现近红外光谱分析技术在饲料桑(Morus alba L.)青贮饲料品质上的应用,本研究收集105份饲料桑青贮样品,基于区间偏最小二乘法(interval Partial Least Squares,iPLS)提取饲料桑青贮的特征光谱区间,并采用偏最小二乘法(Partial Least Squares,PLS)构建了近红外快速检测模型。结果表明,粗蛋白、酸性洗涤纤维、中性洗涤纤维、pH的模型最优,能够用于实际预测(R²cv,R²p>0.8; RPDcv,RPDp>2.5);干物质、乳酸、缩合单宁的模型较好,可以进行粗略预测(2<RPDcv<2.5,2<RPD<2.5);水解单宁的模型则需进一步优化(RPDp<2)。因此,基于特征光谱法建立的模型在稳定性及预测精度方面更具优势,可以为饲料桑青贮高效生产与利用提供理论依据与技术支持,同时为近红外分析仪器开发提供思路。
关键词
饲料桑青贮
/
青贮饲料
/
近红外光谱
/
特征光谱提取
/
化学计量学
Abstract
收起
To advance the application of near-infrared (NIR) spectroscopy in assessing the quality of mulberry (Morus alba L.) silage, a total of 105 silage samples were collected. Interval Partial Least Squares (iPLS) was employed to extract informative spectral intervals, and rapid NIR prediction models were subsequently developed using Partial Least Squares (PLS). The results indicated that the models for crude protein, acid detergent fiber, neutral detergent fiber, and pH exhibited the best performance and were suitable for practical prediction (R2cv, R2p>0.8; RPDcv, RPDp>2.5). Models for dry matter, lactic acid, and condensed tannins demonstrated moderate performance and were adequate for approximate estimation (2<RPDcv<2.5; 2<RPDp<2.5). In contrast, the model for hydrolyzable tannins required further refinement (RPDp<2). Collectively, these findings suggest that models constructed based on characteristic spectral intervals offer enhanced stability and predictive accuracy. This approach provides a theoretical basis and technical support for the efficient production and utilization of mulberry silage, while also offering valuable insights for the development of NIR analytical instrumentation.
LI Qin-yu, YANG Xue-ping, YANG Fu-yu, NI Kui-kui.
Rapid Detection of Mulberry Silage Quality Based on Near-Infrared Characteristic Spectral Interval Extraction[J].
Acta Agrestia Sinica,
2026
, 34
(5)
: 1878
-1888
.
DOI: 10.11733/j.issn.1007-0435.2026.05.028
基金
收起
畜禽饲料饲草精细化加工技术研究 (2021YFD1300300)
参考文献
收起
文献
收起
参考文献引证文献
排序方式:
XU X F, HE Z Y, DONG H. Application of protein mulberry in livestock and poultry production[J]. Chinese Journal of Animal Science, 2024, 60(3):66-72, 78 徐晓峰, 何至远, 董虹. 蛋白桑在畜禽生产上的应用研究进展[J]. 中国畜牧杂志, 2024, 60(3):66-72, 78 HUANG Z R, YANG J, LÜ X J. The utilization and development of mulberry as animal forage[J]. Science of Sericulture, 2006, 32(3):377-385 黄自然, 杨军, 吕雪娟. 桑树作为动物饲料的应用价值与研究进展[J]. 蚕业科学, 2006, 32(3):377-385 HUANG J P, ZHAO W G, YANG Z J, et al. Effects of forage mulberry addition on performance, immune and antioxidant function and rumen microflora of perinatal Holstein dairy cows[J]. Chinese Journal of Animal Nutrition, 2023, 35(11):7224-7234 黄军鹏, 赵卫国, 杨赵军, 等. 添加饲料桑对围产期奶牛生产性能、免疫和抗氧化功能及瘤胃微生物区系的影响[J]. 动物营养学报, 2023, 35(11):7224-7234 WANG J Y, XIE Y F, LI L, et al. Effects of adding different levels of tannic acid on rumen fermentation parameters and methane production of sheep in vitro method[J]. China Animal Husbandry & Veterinary Medicine, 2020, 47(5):1436-1443 王敬尧, 解湧芳, 丽丽, 等. 添加不同水平单宁酸对绵羊体外发酵参数和甲烷产量的影响[J]. 中国畜牧兽医, 2020, 47(5):1436-1443 WAFULA E N, ONDUSO M, WAINAINA I N, et al. Antinutrient to mineral molar ratios of raw common beans and their rapid prediction using near-infrared spectroscopy[J]. Food Chemistry, 2022, 368:130773 ZHAO Y M, XU W, AN R R, et al. Effects of tannin, glucoside and phytic acid in feed on livestock or poultry and their degradation methods[J]. Feed Industry, 2024, 45(7):119-125 赵一鸣, 徐文, 安容容, 等. 饲料中单宁、硫代葡萄糖苷和植酸对畜禽的影响及其降解方法[J]. 饲料工业, 2024, 45(7):119-125 JIANG Z J, HOU Q R, HOU W Y, et al. Nutritional value and antinutritional factors of mulberry leaves, paper mulberry leaves and elm leaves and their applications in livestock production[J]. Feed Industry, 2023, 44(18):25-29 蒋子洁, 侯启瑞, 侯文玉, 等. 桑叶、构树叶、榆树叶营养价值、抗营养因子及其在畜牧生产中的应用[J]. 饲料工业, 2023, 44(18):25-29 LIU C M, ZHONG R Y, XIAO D F. Production technology and nutritional function of silage mulberry leaves and its application effect in ruminants[J]. China Feed, 2022(7):126-130 刘纯铭, 钟如意, 肖定福. 青贮桑叶的生产工艺、营养作用及其在反刍动物上的应用效果研究进展[J]. 中国饲料, 2022(7):126-130 ZHANG Y C, YIN S L, WANG Y W, et al. Research progress of woody forage silage[J]. Biotechnology Bulletin, 2021, 37(9):48-57 张颖超, 尹守亮, 王一炜, 等. 木本饲料青贮研究进展[J]. 生物技术通报, 2021, 37(9):48-57 CHU X L, SHI Y Y, CHEN P, et al. Research and application progresses of near infrared spectroscopy analytical technique in China in past five years[J]. Journal of Instrumental Analysis, 2019, 38(5):603-611 褚小立, 史云颖, 陈瀑, 等. 近五年我国近红外光谱分析技术研究与应用进展[J]. 分析测试学报, 2019, 38(5):603-611 STUTH J, JAMA A, TOLLESON D. Direct and indirect means of predicting forage quality through near infrared reflectance spectroscopy[J]. Field Crops Research, 2003, 84(1/2):45-56 CHELI F, BATTAGLIA D, PINOTTI L, et al. State of the art in feedstuff analysis: a technique-oriented perspective[J]. Journal of Agricultural and Food Chemistry, 2012, 60(38):9529-9542 PASQUINI C. Near Infrared Spectroscopy: fundamentals, practical aspects and analytical applications[J]. Journal of the Brazilian Chemical Society, 2003, 14(2):198-219 YAN Y L, ZHAO L L, LI J H, et al. Information technology of modern NIR spectral analysis[J]. Spectroscopy and Spectral Analysis, 2000, 20(6):777-780 严衍禄, 赵龙莲, 李军会, 等. 现代近红外光谱分析的信息处理技术[J]. 光谱学与光谱分析, 2000, 20(6):777-780 OSBORNE B G. Near infrared spectroscopy in food analysis[J]. Encyclopedia of Analytical Chemistry, 2006(9):1-14 NORRIS K H, BARNES R F, MOORE J E, et al. Predicting forage quality by infrared replectance spectroscopy[J]. Journal of Animal Science, 1976, 43(4):889-897 MIAO X X, MIAO Y, LIU Y, et al. Measurement of nitrogen content in rice plant using near infrared spectroscopy combined with different PLS algorithms[J]. Spectrochimica Acta Part A:Molecular and Biomolecular Spectroscopy, 2023, 284:121733 CHEN H, LIN Z, TAN C. Fast discrimination of the geographical origins of notoginseng by near-infrared spectroscopy and chemometrics[J]. Journal of Pharmaceutical and Biomedical Analysis, 2018, 161:239-245 NØRGAARD L, SAUDLAND A, WAGNER J, et al. Interval partial least-squares regression (iPLS): a comparative chemometric study with an example from near-infrared spectroscopy[J]. Applied Spectroscopy, 2000, 54(3):413-419 ZHU D, ZHANG P H, ZHAO M, et al. Rumen degradation characteristics of different neutral detergent fiber/starch ratio diets in dairy cattle[J]. Pratacultural Science, 2015, 32(12):2122-2130 朱丹, 张佩华, 赵勐, 等. 不同NDF与淀粉比例饲粮在奶牛瘤胃的降解特性[J]. 草业科学, 2015, 32(12):2122-2130 WEI G T, WANG D. Determination of crude protein content in wheat in Yancheng City by Dumas combustion method[J]. Modern Food, 2023, 29(23):176-178 魏国涛, 王栋. 杜马斯燃烧法测定盐城市小麦粗蛋白含量[J]. 现代食品, 2023, 29(23):176-178 VAN SOEST P J, ROBERTSON J B, LEWIS B A. Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition[J]. Journal of Dairy Science, 1991, 74(10):3583-3597 JUNG J S, RAVINDRAN B, SOUNDHARRAJAN I, et al. Improved performance and microbial community dynamics in anaerobic fermentation of Triticale silages at different stages[J]. Bioresource Technology, 2022, 345:126485 BRODERICK G A, KANG J H. Automated simultaneous determination of ammonia and total amino acids in ruminal fluid and in vitro Media1[J]. Journal of Dairy Science, 1980, 63(1):64-75 MAKKAR H P S, BECKER K. Vanillin-HCl method for condensed tannins: effect of organic solvents used for extraction of tannins[J]. Journal of Chemical Ecology, 1993, 19(4):613-621 WANG N W, XIONG Y, WANG X K, et al. Effects of Lactobacillus plantarum on fermentation quality and anti-nutritional factors of paper mulberry silage[J]. Fermentation, 2022, 8(4):144 CZARNECKI M A, MORISAWA Y, FUTAMI Y, et al. Advances in molecular structure and interaction studies using near-infrared spectroscopy[J]. Chemical Reviews, 2015, 115(18):9707-9744 RANZAN C, STROHM A, RANZAN L, et al. Wheat flour characterization using NIR and spectral filter based on Ant Colony Optimization[J]. Chemometrics and Intelligent Laboratory Systems, 2014, 132:133-140 ZOU X B, ZHAO J W, POVEY M J W, et al. Variables selection methods in near-infrared spectroscopy[J]. Analytica Chimica Acta, 2010, 667(1/2):14-32 PEREIRA A F C, PONTES M J C, NETO F F G, et al. NIR spectrometric determination of quality parameters in vegetable oils using iPLS and variable selection[J]. Food Research International, 2008, 41(4):341-348 MUKHERJEE S, LASKAR S. Vis-NIR-based optical sensor system for estimation of primary nutrients in soil[J]. Journal of Optics, 2019, 48(1):87-103 CHEN J, REN X, ZHANG Q, et al. Determination of protein, total carbohydrates and crude fat contents of foxtail millet using effective wavelengths in NIR spectroscopy[J]. Journal of Cereal Science, 2013, 58(2):241-247 JI Q G, LI C F, FU X S, et al. Protected geographical indication discrimination of Zhejiang and non-Zhejiang ophiopogonis japonicus by near-infrared (NIR) spectroscopy combined with chemometrics: the influence of different stoichiometric and spectrogram pretreatment methods[J]. Molecules, 2023, 28(6):2803 CHEN J S, ZHU R F, ZHANG Q, et al. Research on the rapid determination of conventional nutritional components of Leymus chinensis by establishing near infrared characteristic wavelength model[J]. Acta Agrestia Sinica, 2019, 27(4):867-873 陈积山, 朱瑞芬, 张强, 等. 建立近红外特征波长模型快速测定羊草常规营养成分的研究[J]. 草地学报, 2019, 27(4):867-873 RILEY M R, ARNOLD M A, MURHAMMER D W. Effect of sample complexity on quantification of analytes in aqueous samples by near-infrared spectroscopy[J]. Applied Spectroscopy, 2000, 54(2):255-261 BEĆ K B, GRABSKA J, KIRCHLER C G, et al. NIR spectra simulation of thymol for better understanding of the spectra forming factors, phase and concentration effects and PLS regression features[J]. Journal of Molecular Liquids, 2018, 268:895-902 TIAN L M, CHEN F, LIN Y L, et al. Research on detecting nutritional quality of forage oat silage by near infrared spectroscopy[J]. Acta Agrestia Sinica, 2023, 31(12):3841-3850 田丽梅, 陈菲, 林炎丽, 等. 近红外光谱检测燕麦饲草青贮营养品质研究[J]. 草地学报, 2023, 31(12):3841-3850 YUN Y H, LI H D, DENG B C, et al. An overview of variable selection methods in multivariate analysis of near-infrared spectra[J]. TrAC Trends in Analytical Chemistry, 2019, 113:102-115 ZHOU X H, XIANG B R, WANG Z M, et al. Determination of quercetin in extracts of Ginkgo biloba L. leaves by near‐infrared reflectance spectroscopy based on interval partial least‐squares (iPLS) model[J]. Analytical Letters, 2007, 40(18):3383-339 FU J S, YU H D, CHEN Z, et al. A review on hybrid strategy-based wavelength selection methods in analysis of near-infrared spectral data[J]. Infrared Physics & Technology, 2022, 125:104231