Arid
DOI10.1080/03650340.2014.938645
A model to predict the dry matter and yield of rapeseed under salinity and deficit irrigation
Shabani, Ali; Sepaskhah, Ali Reza; Kamgar-Haghighi, Ali Akbar
通讯作者Shabani, Ali
来源期刊ARCHIVES OF AGRONOMY AND SOIL SCIENCE
ISSN0365-0340
EISSN1476-3567
出版年2015
卷号61期号:4页码:525-542
英文摘要

In this investigation, a model was developed to predict dry matter, seed yield and other crop parameters of rapeseed under deficit irrigation and salinity by using soil water and salt budget and other simple plant physiological relationships. Two-year experimental data were used. In calibration and validation of the presented model, results indicated that the model was able to estimate evapotranspiration, soil water content, leaf area index, evaporation, crop transpiration, dry matter and seed yield of rapeseed properly. The advantage of this model is its simplicity and easy calibration in other areas and climate conditions and it can be used to estimate yield and other crop parameters with common measurable data in the field. Prediction of crop yield by this model can be used for better management of agronomic systems to reduce administrative costs and in different environmental conditions. Finally, under scarce data, arid and semi-arid environments, this model is proposed to be used by irrigation managers and agricultural advisors.


英文关键词deficit irrigation evapotranspiration partitioning rapeseed modelling salinity
类型Article
语种英语
国家Iran
收录类别SCI-E
WOS记录号WOS:000346570100007
WOS关键词BRASSICA-NAPUS L. ; WATER EXTRACTION MODEL ; WINTER OILSEED RAPE ; SIMULATION-MODEL ; PLANTING METHOD ; GROWTH ; CALIBRATION ; SAFFRON ; STRESS ; ENVIRONMENT
WOS类目Agronomy ; Soil Science
WOS研究方向Agriculture
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/185970
作者单位Shiraz Univ, Coll Agr, Shiraz, Iran
推荐引用方式
GB/T 7714
Shabani, Ali,Sepaskhah, Ali Reza,Kamgar-Haghighi, Ali Akbar. A model to predict the dry matter and yield of rapeseed under salinity and deficit irrigation[J],2015,61(4):525-542.
APA Shabani, Ali,Sepaskhah, Ali Reza,&Kamgar-Haghighi, Ali Akbar.(2015).A model to predict the dry matter and yield of rapeseed under salinity and deficit irrigation.ARCHIVES OF AGRONOMY AND SOIL SCIENCE,61(4),525-542.
MLA Shabani, Ali,et al."A model to predict the dry matter and yield of rapeseed under salinity and deficit irrigation".ARCHIVES OF AGRONOMY AND SOIL SCIENCE 61.4(2015):525-542.
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