不同节水灌溉模式对白茶品质及茶园土壤重金属含量的影响

陈康 王会全 陈竞楠

PDF(835 KB)
中国农村水利水电 ›› 2021 ›› (2) : 119-123.
农田水利

不同节水灌溉模式对白茶品质及茶园土壤重金属含量的影响

  • 陈康1,王会全1,2,陈竞楠1
作者信息 +

Effects of Different Irrigation Patterns on Quality of White Tea and Content of Heavy Metals in Tea Garden Soil

Author information +
稿件信息 +

摘要

为探究不同节水灌溉模式对白茶品质及茶园土壤重金属含量的影响,设计不同灌溉方式(喷灌和滴灌)和不同土壤水分控制下限(65%、75%和85%),观测白茶水浸出物、游离氨基酸、茶多酚、儿茶素等品质指标及茶园土壤铬、砷、镉、汞、铜和铅含量,同时引入投影寻踪分类模型,基于高优白茶品质和低重金属残留对节水灌溉模式进行综合评价。结果表明:喷灌处理对白茶品质形成的促进效果优于滴灌,以75%控水下限的白茶品质最佳;但在相同控水条件下,滴灌在剖面尺度上对重金属的消减效果强于喷灌;投影寻踪分类模型分析结果表明,滴灌65%控水下限和喷灌75%控水下限的综合评价结果较优,其中喷灌75%控水下限节水灌溉方案的投影值达到1.821,该灌溉模式下白茶水浸出物、游离氨基酸、茶多酚和儿茶素含量分别为47.6%、6.66%、14.2%和12.5%,主根区土层(20~40 cm)六种重金属离子总体呈降低趋势。

Abstract

In order to explore the effects of different irrigation patterns on the quality of white tea and the heavy metal content in the tea garden soil, different irrigation methods (sprinkling and drip irrigation) and different soil moisture control limits (65%, 75%, and 85%) are designed. The quality indexes of white tea including water extract, free amino acids, tea polyphenols, catechins and the content of chromium, arsenic, cadmium, mercury, copper and lead in tea garden soil are observed. At the same time, projection is introduced. The water-saving irrigation model is optimized based on high quality white tea and low heavy metal residue. The results show that the effect of sprinkler irrigation on the quality of white tea is better than that of drip irrigation, and the quality of white tea with 75% water control limit is the best. However, under the same water control condition, the effect of drip irrigation on the reduction of heavy metals on the profile scale is better than that of sprinkler irrigation. The analysis results of the projection pursuit classification model show that the 65% water control limit of drip irrigation and 75% water control limit of sprinkler irrigation is the better water-saving irrigation scheme and 75% water control limit of sprinkler irrigation obtains the projection value by 1.821. Under this irrigation mode, the contents of water extracts, free amino acids, tea polyphenols, and catechins are 47.6%, 6.66%, 14.2%, and 12.5%, and the six heavy metal ions in the soil layer (20~40 cm) in the main root zone show a decreasing trend.

关键词

白茶 / 节水灌溉 / 重金属 / 品质

Key words

white tea / water-saving irrigation / heavy metal content / quality

基金

福建省农业厅茶产业重大农技推广项目

引用本文

导出引用
陈康 王会全 陈竞楠. 不同节水灌溉模式对白茶品质及茶园土壤重金属含量的影响[J].中国农村水利水电, 2021(2): 119-123
. Effects of Different Irrigation Patterns on Quality of White Tea and Content of Heavy Metals in Tea Garden Soil[J].China Rural Water and Hydropower, 2021(2): 119-123

参考文献

[1]刘东娜,罗凡,李春华,等. 白茶品质化学研究进展[J]. 中国农业科技导报, 2018,20(4):79-91.

[2]卢翠,沈程文. 茶树白化变异研究进展[J]. 茶叶科学, 2016,36(5):445-451.

[3]俞少娟,李鑫磊,王婷婷,等. 白茶香气及萎凋工艺对其形成影响的研究进展[J]. 茶叶通讯, 2015,42(4):14-18.

[4]LI X,LIU G J,ZHANG W,et al. Correction to Novel Flavoalkaloids from White Tea with Inhibitory Activity against the Formation of Advanced Glycation End Products[J]. Journal of agricultural and food chemistry, 2018,66(33):12-19.

[5]陈雅丽,翁莉萍,马杰,等. 近十年中国土壤重金属污染源解析研究进展[J]. 农业环境科学学报, 2019,38(10):2 219-2 238.

[6]曲磊,石琛. 土壤重金属修复技术研究进展[J]. 中国金属通报, 2019,3(9):178-179.

[7]乔振芳,彭世彰,徐俊增,等. 稻田土壤重金属赋存形态/运移规律及灌溉的影响[J].安徽农业科学,2011,39(16):9 698-9 700,9 702.

[8]茆智. 水稻节水灌溉及其对环境的影响[J].中国工程科学, 2002,12(7):8-16.

[9]杨净云,张兰芬,翟国亮,等. 不同灌溉方式对云南大叶茶树生长发育及产量的影响研究[J]. 节水灌溉, 2012(4):5-7.

[10]陈竞楠,邵孝侯,翟亚明,等. 膜下滴灌水氮协作对烤烟水肥利用效率及土壤养分含量的影响[J]. 节水灌溉, 2017(12):68-71.

[11]侯毛毛,邵孝侯,翟亚明,等. 基于~(15)N示踪技术的烟田肥料氮素再利用分析[J]. 农业工程学报, 2016,32(S1):118-123.

[12]侯毛毛,陈竞楠,杨祁,等. 暗管排水和有机肥施用下滨海设施土壤氮素行为特征[J]. 农业机械学报, 2019,50(11):259-266.

[13]周子维,李磊磊,孙云. 白茶加工工艺及其新品种适制性研究进展[J]. 中国茶叶加工, 2016,12(2):64-68.

[14]白亚欣,侯彩云.几种茶叶生化成分及其抗氧化活性分析[J].中国食物与营养, 2020,26(1):31-36.

[15]周世须,赖丽红,王秀萍. 鲜叶原料及造型方法对水仙有机白茶品质的影响探讨[J]. 福建茶叶, 2019,41(3):13-14.

[16]赵慧博,李丽丽,梁塔娜,等. 重金属铜、镉胁迫下植物响应的研究进展[J]. 安徽农业科学, 2019,47(21):14-16.

[17]葛峰,云晶晶,徐坷坷,等. 重金属铅的土壤环境基准研究进展[J]. 生态与农村环境学报, 2019,35(9):1 103-1 110.

[18]曾建兵,李巧云,何飞飞. 菜地土壤重金属污染及降污修复技术研究进展[J]. 湖南农业科学, 2011,8(16):49-50.

[19]侯毛毛,邵孝侯,陈竞楠,等. EM保水剂施用对烤烟的影响及其施用制度的优选研究[J]. 中国生态农业学报, 2016,24(5):628-636.

[20]FRIEDMAN J H,TURKEY J W. A projection pursuit algorithm for exploratory data analysis[J]. IEEE Trans On Computer, 1974,23(9):881-890.

[21]李芳花,王柏,孙艳玲,等. 基于微粒群算法的投影寻踪模型对调亏灌溉模式评价[J]. 东北农业大学学报, 2013,44(2):77-81.

[22]叶素飞,彭秀琴,季亚辉,等. 设施盐渍土壤暗管布局方案的优选研究[J]. 山东农业科学, 2015,47(11):75-79.

[23]LIU D,ZHANG G D,LI H,et al. Projection pursuit evaluation model of a regional surface water environment based on an Ameliorative Moth-Flame Optimization algorithm[J]. Ecological Indicators, 2019,8:107-109.

[24]LIU D, FENG J P, LI H, et al. Spatiotemporal variation analysis of regional flood disaster resilience capability using an improved projection pursuit model based on the wind-driven optimization algorithm[J]. Journal of Cleaner Production, 2019,7:241-248.

[25]彭盼盼,伍靖伟,刘聪,等. 基于数值模拟的土壤重金属铬污染预测分析[J]. 中国农村水利水电,2016(8):196-200.
PDF(835 KB)

访问

引用

详细情况

段落导航
相关文章

/