基于临界氮浓度模型的日光温室甜椒氮营养诊断

临界氮浓度稀释曲线是诊断作物氮营养状况的有效手段。该研究基于2 a温室小区试验,以参考作物蒸发蒸腾量(reference crop evapotranspiration,ET0)为基准,设置4个灌溉水平(105%ET0、90%ET0、75%ET0、60%ET0)和4个氮素水平(300、225、150、75 kg/hm2),构建和验证基于地上部生物量的甜椒在不同水分条件下的临界氮浓度稀释曲线经验模型。结果表明,植株氮素吸收量、地上部生物量、经济产量和水分利用效率(water use efficiency,WUE)随灌水量增加呈先增加后减小的趋势;灌溉水平75%ET0和90%ET0下,最优施氮量差...

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Published in农业工程学报 Vol. 32; no. 17; pp. 89 - 97
Main Author 向友珍 张富仓 范军亮 强生才 邹海洋 闫世程 吴悠 田建柯
Format Journal Article
LanguageChinese
Published 西北农林科技大学水利与建筑工程学院,旱区农业水土工程教育部重点实验室,中国旱区节水农业研究院,杨凌 712100 2016
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ISSN1002-6819
DOI10.11975/j.issn.1002-6819.2016.17.013

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Summary:临界氮浓度稀释曲线是诊断作物氮营养状况的有效手段。该研究基于2 a温室小区试验,以参考作物蒸发蒸腾量(reference crop evapotranspiration,ET0)为基准,设置4个灌溉水平(105%ET0、90%ET0、75%ET0、60%ET0)和4个氮素水平(300、225、150、75 kg/hm2),构建和验证基于地上部生物量的甜椒在不同水分条件下的临界氮浓度稀释曲线经验模型。结果表明,植株氮素吸收量、地上部生物量、经济产量和水分利用效率(water use efficiency,WUE)随灌水量增加呈先增加后减小的趋势;灌溉水平75%ET0和90%ET0下,最优施氮量差异较小,且可获得较高经济产量和WUE,但经济产量和WUE不能同时达到最佳。75%ET0灌溉水平可获得高于90%ET0灌溉水平约11%的水分利用效率,且经济产量仅降低约3%,鉴于研究区水资源较短缺,灌水量75%ET0施氮量190 kg/hm2左右为最佳策略。该研究可为西北地区温室甜椒实时精准灌水施氮提供理论依据和技术支持。研究可为西北地区温室甜椒实时精准灌水施氮提供理论依据和技术支持。
Bibliography:11-2047/S
The unreasonable application of water and nitrogen significantly affects the growth and the yield of greenhouse vegetables in northwest China, which has raised the need to adjust the crop irrigation and nitrogen(N) fertilizer requirements. Based on the aboveground biomass, the assessment of crop N status is an effective approach to optimize N management in greenhouse vegetable production. The research was conducted in a sunlit, ventilated greenhouse at the Key Laboratory of Agricultural Soil and Water Engineering in Arid Areas, Ministry of Education, in Yangling District, Shanxi Province, during the spring-summer(April-July) seasons of 2014 and 2015. The site is located at 34°20′N, 108°04′E. There were 4 irrigation levels(W1: 105%ET0, W2: 90%ET0, W3: 75%ET0, and W4: 60%ET0, ET0 is reference crop evapotranspiration) and four nitrogen levels(N1: 300, N2: 225, N3: 150, and N4: 75 kg/hm2), resulting in a total of 16 treatments. The plant samples at different treatments were taken 8 times during the study
ISSN:1002-6819
DOI:10.11975/j.issn.1002-6819.2016.17.013