Article(id=1309573320077570852, tenantId=1146029695717560320, journalId=1308397196074385509, issueId=1309573278520406630, articleNumber=null, orderNo=null, doi=10.11733/j.issn.1007-0435.2026.05.034, pmid=null, cstr=null, oa=null, hot=0, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1756828800000, receivedDateStr=2025-09-03, revisedDate=1762617600000, revisedDateStr=2025-11-09, acceptedDate=null, acceptedDateStr=null, onlineDate=1790156210201, onlineDateStr=2026-09-23, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790156210201, onlineIssueDateStr=2026-09-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790156210201, creator=13701087609, updateTime=1790156210201, 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=1942, endPage=1952, ext={EN=ArticleExt(id=1309573320564110118, articleId=1309573320077570852, tenantId=1146029695717560320, journalId=1308397196074385509, language=EN, title=Research on the Production Performance of Intercropping Systems of Silage Corn and Sweet Sorghum/Grain Corn, columnId=null, journalTitle=Acta Agrestia Sinica, columnName=null, runingTitle=null, highlight=null, articleAbstract=To explore the effects of different intercropping patterns of silage corn (Zea mays L.) and sweet sorghum (Sorghum bicolor) / grain corn (Z. mays) on forage yield, quality, and interspecies relationships, and to identify the optimal intercropping configuration, this experiment used silage corn (S), sweet sorghum (T), and grain corn (M) as controls, setting up six intercropping patterns: S4T2 (4 rows of silage corn∶2 rows of sweet sorghum); S3T3 (3 rows of silage corn∶3 rows of sweet sorghum); S2T4 (2 rows of silage corn: 4 rows of sweet sorghum); S4M2 (4 rows of silage corn∶2 rows of grain corn); S3M3 (3 rows of silage corn∶3 rows of grain corn); S2M4 (2 rows of silage corn∶4 rows of grain corn). The results indicated that intercropping significantly affected the agronomic traits of the forage crops compared to sole cropping (P<0.05). The fresh grass yield of the S3T3 treatment was the highest, reaching 107.8 t·hm-2; the S3M3 treatment exhibited the highest yields of hay, crude protein yield, and crude protein content, measuring 36.3 t·hm-2, 3.5 t·hm-2, and 9.6%, respectively, an increase of 17.3%, 14.6%, and 58.2% compared to sole silage corn. Intercropping significantly improved the Land Equivalent Ratio (LER=1.1~1.4), indicating a yield advantage in the system. Notably, S2T4, S3T3, S2M4, and S3M3 treatments demonstrated stronger aggressivity and competitive ratio (Aggressivity, A>0; Competitive ratio, CR>1) for silage corn. Comprehensive analysis revealed that the intercropping of 3 rows of silage corn with 3 rows of sweet sorghum (S3T3) was the optimal pattern for effectively enhancing crop yield and quality., authors=ZHANG Li-juan1, XIE Kai-yun1, YAN An1, WANG Lan1, CUI He-ting1, ZHU Zhen1, authorsList=ZHANG Li-juan, XIE Kai-yun, YAN An, WANG Lan, CUI He-ting, ZHU Zhen, authorCompany=1 College of Grassland Science, Xinjiang Agricultural University/Key Laboratory of Grassland Resources and Ecology in the Western Arid Desert Region, Ministry of Education, Urumqi, Xinjiang 830052, 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=1309573320492806949, articleId=1309573320077570852, tenantId=1146029695717560320, journalId=1308397196074385509, language=CN, title=青贮玉米与甜高粱/籽粒玉米间作系统的生产性能研究, columnId=1309565376569114713, journalTitle=草地学报, columnName=技术研发, runingTitle=null, highlight=null, articleAbstract=为探究青贮玉米(Zea mays L.)与甜高粱(Sorghum bicolor)/籽粒玉米不同间作模式对饲草产量、品质及种间关系的影响,并筛选最优间作配置模式,本试验以青贮玉米(S)、甜高粱(T)和籽粒玉米(M)单作为对照,设置了6种间作模式(S₄T₂:4行青贮玉米∶2行甜高粱;S₃T₃:3行青贮玉米∶3行甜高粱;S₂T₄:2行青贮玉米∶4行甜高粱;S₄M₂:4行青贮玉米∶2行籽粒玉米;S₃M₃:3行青贮玉米∶3行籽粒玉米;S₂M₄:2行青贮玉米∶4行籽粒玉米)。结果表明:与单作相比,间作显著影响各饲草作物的农艺性状(P<0.05)。S₃T₃处理的鲜草产量最高,达107.8 t·hm⁻²。S₃M₃处理的干草产量、粗蛋白产量和粗蛋白含量均最高,分别为36.3 t·hm⁻²,3.5 t·hm⁻²和9.6%,较青贮玉米单作分别提高17.3%,14.6%和58.2%。间作显著提高了土地当量比(Land equivalent ratio,LER=1.1~1.4),表明系统具有产量优势。其中,S₂T₄,S₃T₃,S₂M₄和S₃M₃处理中青贮玉米表现出更强的相对竞争力和营养竞争比率(Aggressivity,A>0;Competitive ratio,CR>1)。综合分析,3行青贮玉米与3行甜高粱间作(S₃T₃)为最佳模式,可有效提升作物产量与品质。, authors=张丽娟1, 谢开云1, 颜安1, 王岚1, 崔荷婷1, 朱震1, authorsList=张丽娟, 谢开云, 颜安, 王岚, 崔荷婷, 朱震, authorCompany=1 新疆农业大学草业学院/西部干旱荒漠区草地资源与生态教育部重点实验室, 新疆 乌鲁木齐 830052, correspAuthors=null, authorNote=张丽娟(1999-),女,汉族,甘肃通渭人,硕士研究生,主要从事草地管理与牧草生产研究,E-mail:17339887841@163.com, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=Zlcx8ij3Bt0RBTsnxOWK1g==, pdfFileSize=1461584, 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=新疆三农骨干人才培养项目 (2022SNGGGCC019); 新疆维吾尔自治区青年科技拔尖人才项目 (2022TSYCCX0044))}, authors=[Author(id=1320569600996134966, tenantId=1146029695717560320, journalId=null, articleId=1309573320077570852, orderNo=null, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=null, email=null, emailSecond=null, emailThird=null, correspondingAuthor=null, authorType=null, 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青贮玉米与甜高粱/籽粒玉米间作系统的生产性能研究
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张丽娟, 谢开云, 颜安, 王岚, 崔荷婷, 朱震
草地学报 | 技术研发 2026,34(5): 1942-1952
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草地学报 |技术研发 2026 , 34 (5) : 1942 -1952
青贮玉米与甜高粱/籽粒玉米间作系统的生产性能研究
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张丽娟, 谢开云, 颜安, 王岚, 崔荷婷, 朱震
作者信息
作者简介:
张丽娟(1999-),女,汉族,甘肃通渭人,硕士研究生,主要从事草地管理与牧草生产研究,E-mail:17339887841@163.com
Research on the Production Performance of Intercropping Systems of Silage Corn and Sweet Sorghum/Grain Corn
ZHANG Li-juan, XIE Kai-yun, YAN An, WANG Lan, CUI He-ting, ZHU Zhen
Affiliations
    1 College of Grassland Science, Xinjiang Agricultural University/Key Laboratory of Grassland Resources and Ecology in the Western Arid Desert Region, Ministry of Education, Urumqi, Xinjiang 830052, China
doi: 10.11733/j.issn.1007-0435.2026.05.034
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为探究青贮玉米(Zea mays L.)与甜高粱(Sorghum bicolor)/籽粒玉米不同间作模式对饲草产量、品质及种间关系的影响,并筛选最优间作配置模式,本试验以青贮玉米(S)、甜高粱(T)和籽粒玉米(M)单作为对照,设置了6种间作模式(S₄T₂:4行青贮玉米∶2行甜高粱;S₃T₃:3行青贮玉米∶3行甜高粱;S₂T₄:2行青贮玉米∶4行甜高粱;S₄M₂:4行青贮玉米∶2行籽粒玉米;S₃M₃:3行青贮玉米∶3行籽粒玉米;S₂M₄:2行青贮玉米∶4行籽粒玉米)。结果表明:与单作相比,间作显著影响各饲草作物的农艺性状(P<0.05)。S₃T₃处理的鲜草产量最高,达107.8 t·hm⁻²。S₃M₃处理的干草产量、粗蛋白产量和粗蛋白含量均最高,分别为36.3 t·hm⁻²,3.5 t·hm⁻²和9.6%,较青贮玉米单作分别提高17.3%,14.6%和58.2%。间作显著提高了土地当量比(Land equivalent ratio,LER=1.1~1.4),表明系统具有产量优势。其中,S₂T₄,S₃T₃,S₂M₄和S₃M₃处理中青贮玉米表现出更强的相对竞争力和营养竞争比率(Aggressivity,A>0;Competitive ratio,CR>1)。综合分析,3行青贮玉米与3行甜高粱间作(S₃T₃)为最佳模式,可有效提升作物产量与品质。
间作  /  青贮玉米  /  生产性能  /  营养品质  /  种间竞争
To explore the effects of different intercropping patterns of silage corn (Zea mays L.) and sweet sorghum (Sorghum bicolor) / grain corn (Z. mays) on forage yield, quality, and interspecies relationships, and to identify the optimal intercropping configuration, this experiment used silage corn (S), sweet sorghum (T), and grain corn (M) as controls, setting up six intercropping patterns: S4T2 (4 rows of silage corn∶2 rows of sweet sorghum); S3T3 (3 rows of silage corn∶3 rows of sweet sorghum); S2T4 (2 rows of silage corn: 4 rows of sweet sorghum); S4M2 (4 rows of silage corn∶2 rows of grain corn); S3M3 (3 rows of silage corn∶3 rows of grain corn); S2M4 (2 rows of silage corn∶4 rows of grain corn). The results indicated that intercropping significantly affected the agronomic traits of the forage crops compared to sole cropping (P<0.05). The fresh grass yield of the S3T3 treatment was the highest, reaching 107.8 t·hm-2; the S3M3 treatment exhibited the highest yields of hay, crude protein yield, and crude protein content, measuring 36.3 t·hm-2, 3.5 t·hm-2, and 9.6%, respectively, an increase of 17.3%, 14.6%, and 58.2% compared to sole silage corn. Intercropping significantly improved the Land Equivalent Ratio (LER=1.1~1.4), indicating a yield advantage in the system. Notably, S2T4, S3T3, S2M4, and S3M3 treatments demonstrated stronger aggressivity and competitive ratio (Aggressivity, A>0; Competitive ratio, CR>1) for silage corn. Comprehensive analysis revealed that the intercropping of 3 rows of silage corn with 3 rows of sweet sorghum (S3T3) was the optimal pattern for effectively enhancing crop yield and quality.
Intercropping  /  Silage corn  /  Production performance  /  Nutritional quality  /  Interspecific competition
张丽娟, 谢开云, 颜安, 王岚, 崔荷婷, 朱震. 青贮玉米与甜高粱/籽粒玉米间作系统的生产性能研究. 草地学报, 2026 , 34 (5) : 1942 -1952 . DOI: 10.11733/j.issn.1007-0435.2026.05.034
ZHANG Li-juan, XIE Kai-yun, YAN An, WANG Lan, CUI He-ting, ZHU Zhen. Research on the Production Performance of Intercropping Systems of Silage Corn and Sweet Sorghum/Grain Corn[J]. Acta Agrestia Sinica, 2026 , 34 (5) : 1942 -1952 . DOI: 10.11733/j.issn.1007-0435.2026.05.034

    新疆三农骨干人才培养项目 (2022SNGGGCC019); 新疆维吾尔自治区青年科技拔尖人才项目 (2022TSYCCX0044)

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doi: 10.11733/j.issn.1007-0435.2026.05.034
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2种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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