利用作物水分胁迫指数和冠层温度测量测定核桃园水分状况。

IF 4.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Lian Mao, Sen Lu, Linqi Liu, Zhipeng Li, Baoqing Wang, Dong Pei, Yongchao Bai
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引用次数: 0

摘要

背景:准确评价核桃不同生育期水分状况是实施亏缺灌溉策略和提高核桃产量的基础。基于冠层温度的作物水分胁迫指数(CWSI)是目前植物水分监测研究中最常用的工具之一。然而,在田间条件下,利用CWSI作为核桃水分状况指标的适宜性和有效性尚不清楚。以西北地区核桃园为研究对象,采用同步监测全灌和亏缺灌处理下核桃树冠层温度、气象参数和水分生理参数。目的是测试简化作物水分胁迫指数(CWSIs)和理论作物水分胁迫指数(CWSIt)在跟踪核桃园水分条件日变化和日变化方面的有效性。结果:CWSIs能反映核桃园水分状况的日变化和日变化。结果发现,在当地时间12时的水质监测指数,最能反映每日的水质变化。与实测蒸腾(CWSITr_day)计算的日平均CWSI相比,CWSI与CWSITr_day的相关系数、一致性指数和均方根误差分别为0.82、0.94和0.11。然而,由于核桃树空气阻力的计算误差,CWSIt无法跟踪核桃园水分状况的日变化,低估了水分胁迫的程度。此外,核桃园各生育期最小冠层阻力的变化也可能影响CWSIt指示水分状况季节变化的准确性。结论:CWSIs为监测核桃水分状况提供了一种无损、快速、有效的方法。然而,本研究结果表明,在CWSIt计算中,应注意气动阻力参数化的影响以及核桃园各生长阶段最小冠层阻力的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determining water status of walnut orchards using the crop water stress index and canopy temperature measurements.

Background: Accurately evaluating the water status of walnuts in different growth stages is fundamental to implementing deficit irrigation strategies and improving the yield of walnuts. The crop water stress index (CWSI) based on the canopy temperature is one of the most commonly used tools for current research on plant water monitoring. However, the suitability and effectiveness of using the CWSI as an indicator of the walnut water status under field conditions are still unclear. This paper focuses on walnut orchards in Northwest China using synchronous monitoring of the canopy temperature, meteorological parameters, and water physiological parameters of walnut trees under both full irrigation and deficit irrigation treatments. The aim is to test the effectiveness of the simplified crop water stress index (CWSIs) and the theoretical crop water stress index (CWSIt) in tracking the diurnal and daily variations of the water conditions in walnut orchards.

Results: The CWSIs can reflect the diurnal and daily changes in the water status of walnut orchards. It was found that the CWSIs at 12:00 local time had the best performance in tracking the daily changes in the water status. Compared to the daily averaged CWSI calculated using the measured transpiration (CWSITr_day), the correlation coefficient, index of agreement, and root mean squared error between the CWSIs and CWSITr_day were 0.82, 0.94, and 0.11, respectively. However, due to the calculation errors of the aerodynamic resistance in walnut trees, the CWSIt was unable to track the diurnal variations in the water status in walnut orchards and the degree of water stress was underestimated. In addition, the variations in minimum canopy resistance in the various growth stages of walnut orchards may also affect the accuracy of the CWSIt in terms of indicating the seasonal changes in the water status.

Conclusions: The CWSIs provides a non-destructive, quickly and effective method for monitoring the water status of walnuts. However, the results of this study suggest that the effects of aerodynamic resistance parameterization and variations in minimum canopy resistance in the various growth stages of walnut orchards in the CWSIt calculation should be noted.

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来源期刊
Plant Methods
Plant Methods 生物-植物科学
CiteScore
9.20
自引率
3.90%
发文量
121
审稿时长
2 months
期刊介绍: Plant Methods is an open access, peer-reviewed, online journal for the plant research community that encompasses all aspects of technological innovation in the plant sciences. There is no doubt that we have entered an exciting new era in plant biology. The completion of the Arabidopsis genome sequence, and the rapid progress being made in other plant genomics projects are providing unparalleled opportunities for progress in all areas of plant science. Nevertheless, enormous challenges lie ahead if we are to understand the function of every gene in the genome, and how the individual parts work together to make the whole organism. Achieving these goals will require an unprecedented collaborative effort, combining high-throughput, system-wide technologies with more focused approaches that integrate traditional disciplines such as cell biology, biochemistry and molecular genetics. Technological innovation is probably the most important catalyst for progress in any scientific discipline. Plant Methods’ goal is to stimulate the development and adoption of new and improved techniques and research tools and, where appropriate, to promote consistency of methodologies for better integration of data from different laboratories.
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