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

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 v...

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Autores principales: Bellvert, Joaquim, Nieto, Héctor, Pelechá, Ana, Jofre-Čekalović, Christian, Zazurca, Lourdes, Miarnau, Xavier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8006460/
https://www.ncbi.nlm.nih.gov/pubmed/33790920
http://dx.doi.org/10.3389/fpls.2021.608967
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author Bellvert, Joaquim
Nieto, Héctor
Pelechá, Ana
Jofre-Čekalović, Christian
Zazurca, Lourdes
Miarnau, Xavier
author_facet Bellvert, Joaquim
Nieto, Héctor
Pelechá, Ana
Jofre-Čekalović, Christian
Zazurca, Lourdes
Miarnau, Xavier
author_sort Bellvert, Joaquim
collection PubMed
description 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(stem)) 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(–1) 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(stem) 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(stem), 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(stem) of Rootpac(®) R, the WP of this rootstock was also high.
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spelling pubmed-80064602021-03-30 Remote Sensing Energy Balance Model for the Assessment of Crop Evapotranspiration and Water Status in an Almond Rootstock Collection Bellvert, Joaquim Nieto, Héctor Pelechá, Ana Jofre-Čekalović, Christian Zazurca, Lourdes Miarnau, Xavier Front Plant Sci Plant Science 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(stem)) 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(–1) 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(stem) 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(stem), 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(stem) of Rootpac(®) R, the WP of this rootstock was also high. Frontiers Media S.A. 2021-03-10 /pmc/articles/PMC8006460/ /pubmed/33790920 http://dx.doi.org/10.3389/fpls.2021.608967 Text en Copyright © 2021 Bellvert, Nieto, Pelechá, Jofre-Čekalović, Zazurca and Miarnau. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Bellvert, Joaquim
Nieto, Héctor
Pelechá, Ana
Jofre-Čekalović, Christian
Zazurca, Lourdes
Miarnau, Xavier
Remote Sensing Energy Balance Model for the Assessment of Crop Evapotranspiration and Water Status in an Almond Rootstock Collection
title Remote Sensing Energy Balance Model for the Assessment of Crop Evapotranspiration and Water Status in an Almond Rootstock Collection
title_full Remote Sensing Energy Balance Model for the Assessment of Crop Evapotranspiration and Water Status in an Almond Rootstock Collection
title_fullStr Remote Sensing Energy Balance Model for the Assessment of Crop Evapotranspiration and Water Status in an Almond Rootstock Collection
title_full_unstemmed Remote Sensing Energy Balance Model for the Assessment of Crop Evapotranspiration and Water Status in an Almond Rootstock Collection
title_short Remote Sensing Energy Balance Model for the Assessment of Crop Evapotranspiration and Water Status in an Almond Rootstock Collection
title_sort remote sensing energy balance model for the assessment of crop evapotranspiration and water status in an almond rootstock collection
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8006460/
https://www.ncbi.nlm.nih.gov/pubmed/33790920
http://dx.doi.org/10.3389/fpls.2021.608967
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