KMS Institute of soil and water conservation Chinese Academy of Sciences
| Partial Least Squares Regression for Determining Factors Controlling Winter Wheat Yield | |
| Hu, Yutong1,3; Wei, Xiaorong1,2; Hao, Mingde1,2; Fu, Wei5; Zhao, Jing1,3; Wang, Zhe1; Hao, MD (reprint author), Chinese Acad Sci, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China. | |
| 文章类型 | Article |
| 2018 | |
| 发表期刊 | AGRONOMY JOURNAL
 |
| ISSN | 0002-1962 |
| 通讯作者邮箱 | mdhao@ms.iswc.ac.cn |
| 卷号 | 110期号:1页码:281-292 |
| 摘要 | Wheat (Triticum aestivum L.) yield is influenced by many independent factors including precipitation, fertilization, soil nutrients, and crop variety. Due to high correlations of these factors, it is difficult to analyze their relative importance on wheat yield. This study quantified the effects of independent factors on wheat yield and identified the most important control factors through a long-term experiment on the Loess Plateau, China. The experiment consisted of 17 treatments, including five different levels of N and P fertilizer. Partial least squares regression (PLSR) was used to evaluate the factors on wheat yield in four variety groups-Qinmai4 (1985-1986), Changwu131 (1987-1996), Changwu134 (1997-2015), and 31-yr planting across the three varieties (1985-2015). Variable importance in projection (VIP) value revealed that N fertilizer had the greatest effect on wheat yield in all four groups (VIP = 1.266-2.313). The second most important factors were climate factors for Qinmai4 (VIP = 1.060), precipitation (February, annual, and fallow season) for Changwu131 (W-1 = 0.335-0.351, VIP = 1.381-1.474), and soil nutrients (total nitrogen [TN], soil organic matter [SOM], and available potassium [AK]) for Changwu134 (W-1 = -0.231-0.514, VIP = 1.084-2.317). When tested across varieties, TN and SOM were the second most important factors for 31-yr planting (W-2 = 0.455 and 0.313; VIP = 1.908 and 1.370, respectively). These results indicate that PLSR can reveal the control factors on wheat yield in the study area and provide a reference tool for analyses in other crops or areas. |
| 学科领域 | Agronomy |
| DOI | 10.2134/agronj2017.02.0108 |
| 收录类别 | SCI |
| 出版地 | 677 S SEGOE RD, MADISON, WI 53711 USA |
| 语种 | 英语 |
| WOS记录号 | WOS:000419306700026 |
| 出版者 | AMER SOC AGRONOMY |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | sbir.nwafu.edu.cn/handle/361005/7858 |
| 专题 | 水保所科研产出--SCI_2018--SCI |
| 通讯作者 | Hao, MD (reprint author), Chinese Acad Sci, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China. |
| 作者单位 | 1.Chinese Acad Sci, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China 2.Northwest Univ Agr & Forestry, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Northwest Univ Agr & Forestry, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China 5.Northwest Univ Agr & Forestry, Coll Nat Resource & Environm, Yangling 712100, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hu, Yutong,Wei, Xiaorong,Hao, Mingde,et al. Partial Least Squares Regression for Determining Factors Controlling Winter Wheat Yield[J]. AGRONOMY JOURNAL,2018,110(1):281-292. |
| APA | Hu, Yutong.,Wei, Xiaorong.,Hao, Mingde.,Fu, Wei.,Zhao, Jing.,...&Hao, MD .(2018).Partial Least Squares Regression for Determining Factors Controlling Winter Wheat Yield.AGRONOMY JOURNAL,110(1),281-292. |
| MLA | Hu, Yutong,et al."Partial Least Squares Regression for Determining Factors Controlling Winter Wheat Yield".AGRONOMY JOURNAL 110.1(2018):281-292. |
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| 33（2018.3.16）.pdf（2580KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
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