Study on Fertitizer Model of Nitrogen and Phosphrous for Spring Wheat in Arid Hilly Area of South NingXia
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Study on Fertitizer Model of Nitrogen and Phosphrous for Spring Wheat in Arid Hilly Area of South NingXia
Bulletin of Soiland Water ConservationVol. 13, Issue 6, Pages: 23-30(1994)
作者机构:
1. 中国科学院水利部西北水土保持所 陕西杨陵,712100
2. 宁夏回族自治区固原基地办 固原县,756000
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Published:1994
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Dang Zengchun, Li Dingxin, Liu Yaohong, et al. Study on Fertitizer Model of Nitrogen and Phosphrous for Spring Wheat in Arid Hilly Area of South NingXia[J]. Bulletin of Soiland Water Conservation, 1994, 13(6): 23-30.
DOI:
Dang Zengchun, Li Dingxin, Liu Yaohong, et al. Study on Fertitizer Model of Nitrogen and Phosphrous for Spring Wheat in Arid Hilly Area of South NingXia[J]. Bulletin of Soiland Water Conservation, 1994, 13(6): 23-30.DOI:
Study on Fertitizer Model of Nitrogen and Phosphrous for Spring Wheat in Arid Hilly Area of South NingXia
Based on the field test of saturated D-optimal designs with a匆uare
This paper deals with the response equa-tion of N and P fertilizer
on Spring Whest in three different yild ecosystem in Shanghuang experimental station.The mathmatic model of fertilization with different adaptability has been established
The main effect and mutualeffects of N and P fertilizer have been analized and the optimum of fertilizer required has been caculated according tothe model. fertilizer amount applied and the optimum ratio of N and P of crops grown in low terrace have been cacu-lated as an example.
Spatiotemporal characteristics and decoupling elasticity of agricultural carbon emissions in Yimeng Mountainous area
Research status and hotspots of plant diversity in desertified areas of China based on CiteSpace
Impacts of seasonal drought on carbon-water coupling mechanism in China’s terrestrial ecosystems
Spatiotemporal evolution of productive-living-ecological space at county level of Qinling-Daba Mountains area under background of urban-rural integration
Influence of microtopography on spatiotemporal distribution of soil moisture during snowmelt period and short-term prediction