The effects of nitrogen and water stresses on the nitrogen-to-protein conversion factor of winter wheat
文献类型：期刊论文
| 作者 | Liu, Jianchao1,3; Feng, Hao2,3; He, Jianqiang1,3; Chen, Haixin1,3; Ding, Dianyuan3,4 |
| 刊名 | AGRICULTURAL WATER MANAGEMENT
 |
| 出版日期 | 2018-11-30 |
| 卷号 | 210页码:217-223 |
| 关键词 | Nitrogen-to-protein conversion factor Grain protein concentration Nitrogen stress Water stress |
| ISSN号 | 0378-3774 |
| DOI | 10.1016/j.agwat.2018.07.042 |
| 通讯作者 | Feng, Hao(nercwsi@vip.sina.com) |
| 英文摘要 | An accurate estimation of grain protein concentration (GPC) based on the nitrogen-to-protein conversion factor (Fp) and grain nitrogen concentration is crucial for scientific research and human nutrition. The aim of this study was to evaluate the effects of nitrogen and water stresses on Fp. Field experiments consisting of 16 treatments that included the coupled stresses of nitrogen and water were conducted over 2 wheat growing seasons from 2014 to 2016. The true GPC was determined based on the total amino acid concentration, and the wheat grain nitrogen concentration was determined using the Kjeldahl method. Water stress was estimated based on the soil volumetric water content, and nitrogen stress was estimated based on the crop nitrogen concentration. Water stress, nitrogen stress, and coupled water and nitrogen stresses were used to fit dynamic Fp (Fp'), which was different from common Fp value of 5.70. The results indicated that stresses resulted in the decline of Fp. The nitrogen concentration of total amino acid had a positive relationship with the minimum of the two stresses (S-MIN). The observed Fp' ranged from 5.14 to 5.86, and a certain significant negative linear relationship existed between S-MIN and Fp' (P < 0.001). The relative root mean square error (RRMSE) values of Fp' and GPC based on an Fp' were 0.024 and 0.072, respectively, while the RRMSE of GPC estimated based on an Fp value of 5.70 was 0.098. GPC estimated using a variable Fp value that accounted for coupled water and nitrogen stresses was more precise than GPC estimates based on Fp value of 5.70. The new general linear model provides an improved method to calculate GPC more accurately in different environment. |
| WOS关键词 | AMINO-ACID-COMPOSITION ; GRAIN NITROGEN ; YIELD ; MODEL ; TEMPERATURE ; NUTRITION ; DROUGHT ; LEGUMES ; CEREALS |
| 资助项目 | National High Technology Research and Development Program of China[2013AA102904] ; National Natural Science Foundation of China[41371234] ; 111 Project of the Ministry of Education and the State Administration of Foreign Experts Affairs[B12007] |
| WOS研究方向 | Agriculture ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000445715200023 |
| 出版者 | ELSEVIER SCIENCE BV |
| 资助机构 | National High Technology Research and Development Program of China ; National Natural Science Foundation of China ; 111 Project of the Ministry of Education and the State Administration of Foreign Experts Affairs |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/52851]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Feng, Hao |
| 作者单位 | 1.Northwest A&F Univ, Coll Water Resources & Architectural Engn, Yangling 712100, Shaanxi, Peoples R China 2.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China 3.Northwest A&F Univ, Inst Water Saving Agr Arid Areas China, Yangling 712100, Shaanxi, Peoples R China 4.Yangzhou Univ, Sch Hydraul Energy & Power Engn, Yangzhou 225009, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Jianchao,Feng, Hao,He, Jianqiang,et al. The effects of nitrogen and water stresses on the nitrogen-to-protein conversion factor of winter wheat[J]. AGRICULTURAL WATER MANAGEMENT,2018,210:217-223. |
| APA | Liu, Jianchao,Feng, Hao,He, Jianqiang,Chen, Haixin,&Ding, Dianyuan.(2018).The effects of nitrogen and water stresses on the nitrogen-to-protein conversion factor of winter wheat.AGRICULTURAL WATER MANAGEMENT,210,217-223. |
| MLA | Liu, Jianchao,et al."The effects of nitrogen and water stresses on the nitrogen-to-protein conversion factor of winter wheat".AGRICULTURAL WATER MANAGEMENT 210(2018):217-223. |
入库方式： OAI收割
来源：地理科学与资源研究所
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