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基于综合评价的生菜低灌溉下限优化:田间试验

Optimization of a Lower Irrigation Limit for Lettuce Based on Comprehensive Evaluation: A Field Experiment.

作者信息

Hou Maomao, Zhang Houdong, Shaghaleh Hiba, Chen Jingnan, Zhong Fenglin, Alhaj Hamoud Yousef, Zhu Lin

机构信息

College of Horticulture, Fujian Agriculture and Forest University, Fuzhou 350000, China.

College of Agricultural Science and Engineering, Hohai University, Nanjing 210098, China.

出版信息

Plants (Basel). 2024 Mar 15;13(6):853. doi: 10.3390/plants13060853.

Abstract

When optimizing irrigation methods, much consideration is given to crop growth indicators while less attention has been paid to soil's gaseous carbon (C) and nitrogen (N) emission indicators. Therefore, adopting an irrigation practice that can reduce emissions while maintaining crop yield and quality is of great interest. Thus, open-field experiments were conducted from September 2020 to January 2022 using a single-factor randomized block design with three replications. The lettuce plants ("") were grown using four different irrigation methods established by setting the lower limit of drip irrigation to 75%, 65%, and 55% of soil water content at field capacity corresponding to DR1, DR2, and DR3, respectively. Furrow irrigation (FI) was used as a control. Crop growth indicators and soil gas emissions were observed. Results showed that the mean lettuce yield under DR1 (64,500 kg/ha) was the highest, and it was lower under DR3 and FI. The lettuces under DR3 showed greater concentrations of crude fiber, vitamin C, and soluble sugar, and a greater nitrate concentration. Compared with FI, the DR treatments were more conducive to improving the comprehensive quality of lettuce, including the measured appearance and nutritional quality. Among all the irrigation methods, FI had the maximum cracking rate of lettuce, reaching 25.3%, 24.6%, and 22.7%, respectively, for the three continuous seasons. The stem cracking rates under DR2 were the lowest-only 10.1%, 14.4%, and 8.2%, respectively, which were decreased to nearly half compared with FI. The entropy model detected that the weight coefficient evaluation value of DR2 was the greatest, reaching 0.93, indicating that the DR2 method has the optimal benefits under comprehensive consideration of water saving, yield increase, quality improvement, and emission reduction.

摘要

在优化灌溉方法时,人们更多地考虑作物生长指标,而对土壤气态碳(C)和氮(N)排放指标关注较少。因此,采用一种既能减少排放又能维持作物产量和品质的灌溉措施备受关注。于是,在2020年9月至2022年1月期间进行了田间试验,采用单因素随机区组设计,重复三次。生菜植株采用四种不同的灌溉方法种植,通过将滴灌下限分别设置为田间持水量时土壤含水量的75%、65%和55%来确定,分别对应DR1、DR2和DR3。采用沟灌(FI)作为对照。观测了作物生长指标和土壤气体排放情况。结果表明,DR1处理下生菜的平均产量最高(64500千克/公顷),DR3和FI处理下的产量较低。DR3处理下的生菜粗纤维、维生素C和可溶性糖含量较高,硝酸盐含量也较高。与FI相比,DR处理更有利于提高生菜的综合品质,包括外观和营养品质。在所有灌溉方法中,FI处理下生菜的裂茎率最高,连续三个季节分别达到25.3%、24.6%和22.7%。DR2处理下的裂茎率最低,仅分别为10.1%、14.4%和8.2%,与FI相比降低了近一半。熵权模型检测到DR2的权重系数评价值最大,达到0.93,表明在综合考虑节水、增产、提质和减排的情况下,DR2方法具有最佳效益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8afb/10974498/b6387c0a26a0/plants-13-00853-g001.jpg

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