• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

用于评估杏仁砧木种质资源中作物蒸散和水分状况的遥感能量平衡模型

Remote Sensing Energy Balance Model for the Assessment of Crop Evapotranspiration and Water Status in an Almond Rootstock Collection.

作者信息

Bellvert Joaquim, Nieto Héctor, Pelechá Ana, Jofre-Čekalović Christian, Zazurca Lourdes, Miarnau Xavier

机构信息

Efficient Use of Water in Agriculture Program, Institute of Agrifood Research and Technology, Fruitcentre, Parc Científic i Tecnològic Agroalimentari de Lleida, Lleida, Spain.

Complutum Tecnologías de la Información Geográfica, Madrid, Spain.

出版信息

Front Plant Sci. 2021 Mar 10;12:608967. doi: 10.3389/fpls.2021.608967. eCollection 2021.

DOI:10.3389/fpls.2021.608967
PMID:33790920
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8006460/
Abstract

One of the objectives of many studies conducted by breeding programs is to characterize and select rootstocks well-adapted to drought conditions. In recent years, field high-throughput phenotyping methods have been developed to characterize plant traits and to identify the most water use efficient varieties and rootstocks. However, none of these studies have been able to quantify the behavior of crop evapotranspiration in almond rootstocks under different water regimes. In this study, remote sensing phenotyping methods were used to assess the evapotranspiration of almond cv. "Marinada" grafted onto a rootstock collection. In particular, the two-source energy balance and Shuttleworth and Wallace models were used to, respectively, estimate the actual and potential evapotranspiration of almonds grafted onto 10 rootstock under three different irrigation treatments. For this purpose, three flights were conducted during the 2018 and 2019 growing seasons with an aircraft equipped with a thermal and multispectral camera. Stem water potential (Ψ ) was also measured concomitant to image acquisition. Biophysical traits of the vegetation were firstly assessed through photogrammetry techniques, spectral vegetation indices and the radiative transfer model PROSAIL. The estimates of canopy height, leaf area index and daily fraction of intercepted radiation had root mean square errors of 0.57 m, 0.24 m m and 0.07%, respectively. Findings of this study showed significant differences between rootstocks in all of the evaluated parameters. Cadaman and Garnem had the highest canopy vigor traits, evapotranspiration, Ψ and kernel yield. In contrast, Rootpac 20 and Rootpac R had the lowest values of the same parameters, suggesting that this was due to an incompatibility between plum-almond species or to a lower water absorption capability of the rooting system. Among the rootstocks with medium canopy vigor, Adesoto and IRTA 1 had a lower evapotranspiration than Rootpac 40 and Ishtara. Water productivity (WP) (kg kernel/mm water evapotranspired) tended to decrease with Ψ , mainly in 2018. Cadaman and Garnem had the highest WP, followed by INRA GF-677, IRTA 1, IRTA 2, and Rootpac 40. Despite the low Ψ of Rootpac R, the WP of this rootstock was also high.

摘要

育种计划开展的许多研究的目标之一是对适应干旱条件的砧木进行特征描述和选择。近年来,已开发出田间高通量表型分析方法来描述植物性状,并识别水分利用效率最高的品种和砧木。然而,这些研究均未能量化不同水分条件下杏仁砧木的作物蒸散行为。在本研究中,采用遥感表型分析方法评估嫁接到一组砧木上的“Marinada”品种杏仁的蒸散情况。具体而言,分别使用双源能量平衡模型以及Shuttleworth和Wallace模型,估算在三种不同灌溉处理下嫁接到10种砧木上的杏仁的实际蒸散量和潜在蒸散量。为此,在2018年和2019年生长季期间,使用配备了热成像和多光谱相机的飞机进行了三次飞行监测。在图像采集的同时还测量了茎水势(Ψ )。首先通过摄影测量技术、光谱植被指数和辐射传输模型PROSAIL评估植被的生物物理性状。冠层高度、叶面积指数和每日截获辐射比例的估算值的均方根误差分别为0.57米、0.24平方米和0.07%。本研究结果表明,在所有评估参数方面,砧木之间存在显著差异。卡达曼和加内姆的冠层活力性状、蒸散量、Ψ 和果仁产量最高。相比之下,Rootpac 20和Rootpac R在相同参数方面的值最低,这表明这是由于李属 - 扁桃属物种之间不亲和,或者是根系吸水能力较低所致。在冠层活力中等的砧木中,阿德索托和IRTA 1的蒸散量低于Rootpac 40和伊斯塔拉。水分生产率(WP)(每毫米蒸散水分的果仁产量,单位:千克)往往随Ψ 降低,主要在2018年如此。卡达曼和加内姆的WP最高,其次是INRA GF - 677、IRTA 1、IRTA 2和Rootpac 40。尽管Rootpac R的Ψ 较低,但其砧木的WP也很高。

相似文献

1
Remote Sensing Energy Balance Model for the Assessment of Crop Evapotranspiration and Water Status in an Almond Rootstock Collection.用于评估杏仁砧木种质资源中作物蒸散和水分状况的遥感能量平衡模型
Front Plant Sci. 2021 Mar 10;12:608967. doi: 10.3389/fpls.2021.608967. eCollection 2021.
2
Performance of the Two-Source Energy Balance (TSEB) Model as a Tool for Monitoring the Response of Durum Wheat to Drought by High-Throughput Field Phenotyping.双源能量平衡(TSEB)模型作为一种通过高通量田间表型分析监测硬粒小麦对干旱响应的工具的性能。
Front Plant Sci. 2021 Apr 16;12:658357. doi: 10.3389/fpls.2021.658357. eCollection 2021.
3
Assessing Daily Evapotranspiration Methodologies from One-Time-of-Day sUAS and EC Information in the Project.在该项目中,根据单日小型无人机系统(sUAS)和涡度相关法(EC)信息评估日蒸散量方法。
Remote Sens (Basel). 2021 Aug 1;13(15):2887. doi: 10.3390/rs13152887. Epub 2021 Jul 23.
4
Agronomical and Physiological Behavior of Spanish Hazelnut Selection "Negret-N9" Grafted on Non-suckering Rootstocks.嫁接到非萌蘖砧木上的西班牙榛子品种“Negret-N9”的农艺和生理特性
Front Plant Sci. 2022 Feb 1;12:813902. doi: 10.3389/fpls.2021.813902. eCollection 2021.
5
Incorporation of Unmanned Aerial Vehicle (UAV) Point Cloud Products into Remote Sensing Evapotranspiration Models.将无人机(UAV)点云产品纳入遥感蒸散模型。
Remote Sens (Basel). 2020;12(1):50. doi: 10.3390/rs12010050.
6
A remote sensing-based three-source energy balance model to improve global estimations of evapotranspiration in semi-arid tree-grass ecosystems.基于遥感的三源能量平衡模型改进半干旱林草生态系统蒸散量的全球估算。
Glob Chang Biol. 2022 Feb;28(4):1493-1515. doi: 10.1111/gcb.16002. Epub 2021 Dec 2.
7
Architectural approach to evaluate the design and management of almond cultivars suitable for super high-density orchards.评估适合超高密度果园的杏仁品种设计与管理的架构方法。
Front Plant Sci. 2024 Jul 23;15:1407862. doi: 10.3389/fpls.2024.1407862. eCollection 2024.
8
A Remote Sensing Approach for Assessing Daily Cumulative Evapotranspiration Integral in Wheat Genotype Screening for Drought Adaptation.一种用于评估小麦基因型抗旱适应性筛选中每日累积蒸散积分的遥感方法。
Plants (Basel). 2023 Nov 16;12(22):3871. doi: 10.3390/plants12223871.
9
Rootstocks Comparison in Grafted Watermelon under Water Deficit: Effects on the Fruit Quality and Yield.缺水条件下嫁接西瓜砧木的比较:对果实品质和产量的影响
Plants (Basel). 2023 Jan 22;12(3):509. doi: 10.3390/plants12030509.
10
Use of thermal and visible imagery for estimating crop water status of irrigated grapevine.利用热成像和可见光成像估算灌溉葡萄藤的作物水分状况。
J Exp Bot. 2007;58(4):827-38. doi: 10.1093/jxb/erl115. Epub 2006 Sep 12.

引用本文的文献

1
Productive, Physiological, and Soil Microbiological Responses to Severe Water Stress During Fruit Maturity in a Super High-Density European Plum Orchard.超高密度欧洲李果园果实成熟期间对严重水分胁迫的生产、生理及土壤微生物学响应
Plants (Basel). 2025 Apr 16;14(8):1222. doi: 10.3390/plants14081222.
2
A Remote Sensing Approach for Assessing Daily Cumulative Evapotranspiration Integral in Wheat Genotype Screening for Drought Adaptation.一种用于评估小麦基因型抗旱适应性筛选中每日累积蒸散积分的遥感方法。
Plants (Basel). 2023 Nov 16;12(22):3871. doi: 10.3390/plants12223871.
3
Identification of Quantitative Trait Loci Hotspots Affecting Agronomic Traits and High-Throughput Vegetation Indices in Rainfed Wheat.

本文引用的文献

1
GlyPh: a low-cost platform for phenotyping plant growth and water use.GlyPh:一个用于植物生长和水分利用表型分析的低成本平台。
Funct Plant Biol. 2012 Nov;39(11):905-913. doi: 10.1071/FP12052.
2
Evaluation of TSEB turbulent fluxes using different methods for the retrieval of soil and canopy component temperatures from UAV thermal and multispectral imagery.利用不同方法从无人机热成像和多光谱影像中反演土壤和冠层组分温度来评估TSEB湍流通量
Irrig Sci. 2019;37(3):389-406. doi: 10.1007/s00271-018-0585-9.
3
Advancing Agricultural Production With Machine Learning Analytics: Yield Determinants for California's Almond Orchards.
影响雨养小麦农艺性状和高通量植被指数的数量性状位点热点的鉴定
Front Plant Sci. 2021 Sep 20;12:735192. doi: 10.3389/fpls.2021.735192. eCollection 2021.
4
Performance of the Two-Source Energy Balance (TSEB) Model as a Tool for Monitoring the Response of Durum Wheat to Drought by High-Throughput Field Phenotyping.双源能量平衡(TSEB)模型作为一种通过高通量田间表型分析监测硬粒小麦对干旱响应的工具的性能。
Front Plant Sci. 2021 Apr 16;12:658357. doi: 10.3389/fpls.2021.658357. eCollection 2021.
利用机器学习分析推进农业生产:加利福尼亚杏仁果园的产量决定因素
Front Plant Sci. 2020 Mar 13;11:290. doi: 10.3389/fpls.2020.00290. eCollection 2020.
4
An efficient RGB-UAV-based platform for field almond tree phenotyping: 3-D architecture and flowering traits.一种基于RGB无人机的高效田间杏仁树表型分析平台:三维结构与开花特性
Plant Methods. 2019 Dec 26;15:160. doi: 10.1186/s13007-019-0547-0. eCollection 2019.
5
Multi-scale high-throughput phenotyping of apple architectural and functional traits in orchard reveals genotypic variability under contrasted watering regimes.果园中苹果结构和功能性状的多尺度高通量表型分析揭示了不同浇水制度下的基因型变异性。
Hortic Res. 2019 May 1;6:52. doi: 10.1038/s41438-019-0137-3. eCollection 2019.
6
High-resolution imagery acquired from an unmanned platform to estimate biophysical and geometrical parameters of olive trees under different irrigation regimes.利用无人平台获取高分辨率图像,估算不同灌溉制度下油橄榄树的生物物理和几何参数。
PLoS One. 2019 Jan 22;14(1):e0210804. doi: 10.1371/journal.pone.0210804. eCollection 2019.
7
Breeding to adapt agriculture to climate change: affordable phenotyping solutions.培育适应气候变化的农业:负担得起的表型解决方案。
Curr Opin Plant Biol. 2018 Oct;45(Pt B):237-247. doi: 10.1016/j.pbi.2018.05.003. Epub 2018 May 28.
8
Unmanned aerial systems-based remote sensing for monitoring sorghum growth and development.基于无人机系统的遥感监测高粱生长发育。
PLoS One. 2018 May 1;13(5):e0196605. doi: 10.1371/journal.pone.0196605. eCollection 2018.
9
Translating High-Throughput Phenotyping into Genetic Gain.高通量表型分析转化为遗传增益。
Trends Plant Sci. 2018 May;23(5):451-466. doi: 10.1016/j.tplants.2018.02.001. Epub 2018 Mar 16.
10
High Throughput Determination of Plant Height, Ground Cover, and Above-Ground Biomass in Wheat with LiDAR.利用激光雷达高通量测定小麦株高、地面覆盖度和地上生物量
Front Plant Sci. 2018 Feb 27;9:237. doi: 10.3389/fpls.2018.00237. eCollection 2018.