Sunflower seed yield estimation under the interaction of soil salinity and nitrogen application
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- 作者：Wenzhi Zeng zengwenzhi1989@whu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Chi Xu 262354957@qq.com" class="auth_mail" title="E-mail the corresponding author ; Jingwei Wu jingwei.wu@whu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Jiesheng Huang ; sdjshuang@whu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; huangjiesheng1962@gmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Artificial neural network ; Salt tolerance ; Jensen model ; Evapotranspiration ; Modeling
- 刊名：Field Crops Research
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：198
- 期：Complete
- 页码：1-15
- 全文大小：6263 K
文摘
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The salt tolerance threshold values for sunflower in different growth stages were quantified.
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Sunflower seed yield could be estimated using a modified Jensen model based on nitrogen and soil salinity.
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The optimal nitrogen application rates for sunflower in different concentrations of saline soils were determined.
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More experiments should be conducted to reveal the crop response mechanism for salinity and nitrogen in low-salinity soils.