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Optimizing Cropping Systems of Cultivated Pastures in the Mountain-Basin Systems in Northwest China | |
Fan, Yao; Li, Bo; Dai, Xuhuan; Ma, Lingxiao1; Tai, Xiaoli; Bi, Xu2; Yang, Zihan; Zhang, Xinshi3 | |
2020 | |
发表期刊 | APPLIED SCIENCES-BASEL |
卷号 | 10期号:19 |
摘要 | Cultivated pastures are effective supporting systems of natural grassland preservation and sustainable agriculture in arid regions of northwest China. The adaptive combination of forage species enhances the yields and ecological functions of cultivated pastures. Legume-grass intercropping is a valuable sowing regime because of the niche differentiation and resource acquisition. Understanding the effects of species interactions in legume-grass intercropping systems can provide scientific and practical guidance on cultivated pasture management. In this study, we conducted a field experiment to determine the advantages and effects of alfalfa (Medicago sativa L.) annual grass intercropping on cultivated pastures. We analyzed the data on population traits, community characteristics and dry matter in the growing period to evaluate the effects of variety and sowing patterns with the following treatments: three alfalfa varieties (Algonquin, Leafy king, WL354HQ) sown in monocultures and mixed with oat (Avena sativa L.) or sudangrass (Sorghum sudanense (Piper) Stapf.) with two seeding ratios. Our results suggest that in mixtures, the plant traits of alfalfa were determined by their own characters at the earlier stage but were affected more by companion grass at the later stage. The annual forage grass companion impaired the growth of alfalfa during the growth period. In mixtures, sudangrass displayed a stronger inhibiting effect on alfalfa than oat. Alfalfa-grass intercropping was proved to be a feasible cropping practice in terms of yield, production stability and weed control, due to their complementary use of resources in comparison with alfalfa monocropping. Alfalfa-annual grass intercropping is a beneficial alternative strategy to obtain effective cultivated pastures in arid regions. |
关键词 | alfalfa sowing pattern grass– legume intercropping dynamic feature community characteristic mountain– basin systems |
学科领域 | Chemistry, Multidisciplinary ; Engineering, Multidisciplinary ; Materials Science, Multidisciplinary ; Physics, Applied |
DOI | 10.3390/app10196949 |
收录类别 | SCI |
语种 | 英语 |
WOS关键词 | MEDICAGO-SATIVA L. ; ASIA ARID REGIONS ; PLANT-DENSITY ; FORAGE PRODUCTION ; YIELD ; LEGUME ; GROWTH ; PRODUCTIVITY ; ALFALFA ; GRASS |
WOS研究方向 | Chemistry ; Engineering ; Materials Science ; Physics |
WOS记录号 | WOS:000587160800001 |
出版者 | MDPI |
文献子类 | Article |
出版地 | BASEL |
EISSN | 2076-3417 |
资助机构 | National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [42071228] ; National Science and Technology Planning Project of China [2014BAC15B04] |
作者邮箱 | fanyao@mail.bnu.edu.cn ; libo@bnu.edu ; daixuhuan@mail.bnu.edu.cn ; 201521190039@mail.bnu.edu.cn ; 201731190007@mail.bnu.edu.cn ; 201531190023@mail.bnu.edu.cn ; zhyang@mail.bnu.edu.cn ; 03143@bnu.edu.cn |
作品OA属性 | gold |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ibcas.ac.cn/handle/2S10CLM1/21527 |
专题 | 植被与环境变化国家重点实验室 |
作者单位 | 1.Beijing Normal Univ, Fac Geog Sci, Beijing 100875, Peoples R China 2.Minist Nat Resources PRC, Poverty Alleviat Offi, Beijing 100034, Peoples R China 3.Shanxi Univ Finance & Econ, Coll Resources & Environm, Taiyuan 030006, Peoples R China 4.Chinese Acad Sci, Inst Bot, Beijing 100093, Peoples R China |
推荐引用方式 GB/T 7714 | Fan, Yao,Li, Bo,Dai, Xuhuan,et al. Optimizing Cropping Systems of Cultivated Pastures in the Mountain-Basin Systems in Northwest China[J]. APPLIED SCIENCES-BASEL,2020,10(19). |
APA | Fan, Yao.,Li, Bo.,Dai, Xuhuan.,Ma, Lingxiao.,Tai, Xiaoli.,...&Zhang, Xinshi.(2020).Optimizing Cropping Systems of Cultivated Pastures in the Mountain-Basin Systems in Northwest China.APPLIED SCIENCES-BASEL,10(19). |
MLA | Fan, Yao,et al."Optimizing Cropping Systems of Cultivated Pastures in the Mountain-Basin Systems in Northwest China".APPLIED SCIENCES-BASEL 10.19(2020). |
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Fan-2020-Optimizing (2425KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 |
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