Arid
DOI10.1016/j.fcr.2019.02.009
Newly developed water productivity and harvest index models for maize in an arid region
Ran, Hui1; Kang, Shaozhong2; Hu, Xiaotao1; Li, Fusheng3; Du, Taisheng2; Tong, Ling2; Li, Sien2; Ding, Risheng2; Zhou, Zhenjiang4; Parsons, David5
通讯作者Kang, Shaozhong ; Hu, Xiaotao
来源期刊FIELD CROPS RESEARCH
ISSN0378-4290
EISSN1872-6852
出版年2019
卷号234页码:73-86
英文摘要Simulating yield response to different irrigation scenarios is important for agricultural production, especially in the arid region where agriculture depends heavily on irrigation. To better predict yield under different irrigation scenarios, the variation of normalized water productivity (WV') over the whole growing period of maize for seed production and the effect of different irrigation treatments on harvest index (HI) were investigated using field experiments from 2012 to 2015 in an arid region of northwest China. Two new non-linear dynamic WP* (WP*(KR-L) and WP*(KR-S)) models derived from the Logistic and Sigmoid equations, and four new HI (HIKR-J, HIKR-M, HIKR-B and HIKR-S) models developed on the basis of water deficit multiplicative or additive models at different growth stages were compared with the measurements and the WP* (WP*(AC)) and HI sub-model (HIAC) in the original AquaCrop model (Version 4.0). In addition, the WPA*c and HIAc models in the original AquaCrop model were replaced by the optimal WP* and HI models to build the AquaCrop-KR model. Then the yield simulated by the AquaCrop-KR model was compared with the measured yield and the yield simulated by the original AquaCrop model. The results show that both WP*(KR-L) and WP*(KR-S) models improved the simulation of final biomass, especially for the WPiat model. The tested HI sub-models, namely HIKR-J, HIKR-M and HIKR-S models had good performance to simulate HI under different irrigation scenarios, and the HIKR-M model was the best among all tested sub-models. When both WP*(KR-L). and HIKR-M sub-models were embedded into Aquacrop, the performance of the AquaCrop model was improved significantly to simulate yield, especially under severe water stress condition, with R-2 increased from 0.496 to 0.653, NRMSE decreased from 26.2% to 16.1% and EF increased from 0.055 to 0.642.
英文关键词AquaCrop Harvest index model Water productivity model Water stress Yield simulation
类型Article
语种英语
国家Peoples R China ; Sweden
收录类别SCI-E
WOS记录号WOS:000461264200008
WOS关键词SIMULATE YIELD RESPONSE ; FAO CROP MODEL ; DEFICIT IRRIGATED MAIZE ; AQUACROP MODEL ; SEED PRODUCTION ; USE EFFICIENCY ; WINTER-WHEAT ; GRAIN-YIELD ; SOIL-WATER ; EVAPOTRANSPIRATION
WOS类目Agronomy
WOS研究方向Agriculture
来源机构西北农林科技大学 ; 中国农业大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/215631
作者单位1.Northwest A&F Univ, Minist Educ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Yangling 712100, Shaanxi, Peoples R China;
2.China Agr Univ, Ctr Agr Water Res China, Beijing 100083, Peoples R China;
3.Guangxi Univ, Coll Agr, Nanning 530005, Guangxi, Peoples R China;
4.Zhejiang Univ, Coll Biosyst Engn & Food Sci, Hangzhou 310058, Zhejiang, Peoples R China;
5.Swedish Univ Agr Sci, Dept Agr Res Northern Sweden, SE-90183 Umea, Sweden
推荐引用方式
GB/T 7714
Ran, Hui,Kang, Shaozhong,Hu, Xiaotao,et al. Newly developed water productivity and harvest index models for maize in an arid region[J]. 西北农林科技大学, 中国农业大学,2019,234:73-86.
APA Ran, Hui.,Kang, Shaozhong.,Hu, Xiaotao.,Li, Fusheng.,Du, Taisheng.,...&Parsons, David.(2019).Newly developed water productivity and harvest index models for maize in an arid region.FIELD CROPS RESEARCH,234,73-86.
MLA Ran, Hui,et al."Newly developed water productivity and harvest index models for maize in an arid region".FIELD CROPS RESEARCH 234(2019):73-86.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Ran, Hui]的文章
[Kang, Shaozhong]的文章
[Hu, Xiaotao]的文章
百度学术
百度学术中相似的文章
[Ran, Hui]的文章
[Kang, Shaozhong]的文章
[Hu, Xiaotao]的文章
必应学术
必应学术中相似的文章
[Ran, Hui]的文章
[Kang, Shaozhong]的文章
[Hu, Xiaotao]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。