Statistical Approach to Assess Chill and Heat Requirements of Olive Tree Based on Flowering Date and Temperatures Data: Towards Selection of Adapted Cultivars to Global Warming

Delineating chilling and forcing periods is one of the challenging topics in understanding how temperatures drive the timing of budburst and bloom in fruit tree species. Here, we investigated this question on olive trees, using flowering data collected over six years on 331 cultivars in the worldwid...

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Main Authors: Omar Abou-Saaid, Adnane El Yaacoubi, Abdelmajid Moukhli, Ahmed El Bakkali, Sara Oulbi, Magalie Delalande, Isabelle Farrera, Jean-Jacques Kelner, Sylvia Lochon-Menseau, Cherkaoui El Modafar, Hayat Zaher, Bouchaib Khadari
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Agronomy
Subjects:
Online Access:https://www.mdpi.com/2073-4395/12/12/2975
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author Omar Abou-Saaid
Adnane El Yaacoubi
Abdelmajid Moukhli
Ahmed El Bakkali
Sara Oulbi
Magalie Delalande
Isabelle Farrera
Jean-Jacques Kelner
Sylvia Lochon-Menseau
Cherkaoui El Modafar
Hayat Zaher
Bouchaib Khadari
author_facet Omar Abou-Saaid
Adnane El Yaacoubi
Abdelmajid Moukhli
Ahmed El Bakkali
Sara Oulbi
Magalie Delalande
Isabelle Farrera
Jean-Jacques Kelner
Sylvia Lochon-Menseau
Cherkaoui El Modafar
Hayat Zaher
Bouchaib Khadari
author_sort Omar Abou-Saaid
collection DOAJ
description Delineating chilling and forcing periods is one of the challenging topics in understanding how temperatures drive the timing of budburst and bloom in fruit tree species. Here, we investigated this question on olive trees, using flowering data collected over six years on 331 cultivars in the worldwide collection of Marrakech, Morocco. Using a Partial Least Squares approach on a long-term phenology (29 years) of ‘Picholine Marocaine’ cultivar, we showed that the relevance of delineating the chilling and forcing periods depends more on the variability of inter-annual temperatures than on the long-term datasets. In fact, chilling and forcing periods are similar between those delineated by using datasets of 29 years and those of only 6 years (2014–2019). We demonstrated that the variability of inter-annual temperatures is the main factor explaining this pattern. We then used the datasets of six years to assess the chill and heat requirements of 285 cultivars. We classified Mediterranean olive cultivars into four groups according to their chill requirements. Our results, using the Kriging interpolation method, indicated that flowering dates of most of these cultivars (92%) were governed by both chilling and forcing temperatures. Our investigations provided first insights to select adapted cultivars to global warming.
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spelling doaj.art-97e0892c9913462c9e3f1aa0befdefe02023-11-24T12:44:15ZengMDPI AGAgronomy2073-43952022-11-011212297510.3390/agronomy12122975Statistical Approach to Assess Chill and Heat Requirements of Olive Tree Based on Flowering Date and Temperatures Data: Towards Selection of Adapted Cultivars to Global WarmingOmar Abou-Saaid0Adnane El Yaacoubi1Abdelmajid Moukhli2Ahmed El Bakkali3Sara Oulbi4Magalie Delalande5Isabelle Farrera6Jean-Jacques Kelner7Sylvia Lochon-Menseau8Cherkaoui El Modafar9Hayat Zaher10Bouchaib Khadari11INRA, UR Amélioration des Plantes, Marrakech 40005, MoroccoEcole Supérieur de Technologie, Université Sultan Moulay Slimane, Khenifra 54006, MoroccoINRA, UR Amélioration des Plantes, Marrakech 40005, MoroccoINRA, UR Amélioration des Plantes et Conservation des Ressources Phytogénétiques, Meknes 50102, MoroccoINRA, UR Amélioration des Plantes, Marrakech 40005, MoroccoAGAP Institut, Université de Montpellier, CIRAD, INRA, Institut Agro, 34398 Montpellier, FranceAGAP Institut, Université de Montpellier, CIRAD, INRA, Institut Agro, 34398 Montpellier, FranceAGAP Institut, Université de Montpellier, CIRAD, INRA, Institut Agro, 34398 Montpellier, FranceConservatoire Botanique National Méditerranéen de Porquerolles (CBNMed), 83400 Hyères, FranceCentre d’Agrobiotechnologie et Bioingénierie, URL-CNRST 05, Université Cadi Ayyad, Marrakech 40010, MoroccoINRA, UR Amélioration des Plantes, Marrakech 40005, MoroccoAGAP Institut, Université de Montpellier, CIRAD, INRA, Institut Agro, 34398 Montpellier, FranceDelineating chilling and forcing periods is one of the challenging topics in understanding how temperatures drive the timing of budburst and bloom in fruit tree species. Here, we investigated this question on olive trees, using flowering data collected over six years on 331 cultivars in the worldwide collection of Marrakech, Morocco. Using a Partial Least Squares approach on a long-term phenology (29 years) of ‘Picholine Marocaine’ cultivar, we showed that the relevance of delineating the chilling and forcing periods depends more on the variability of inter-annual temperatures than on the long-term datasets. In fact, chilling and forcing periods are similar between those delineated by using datasets of 29 years and those of only 6 years (2014–2019). We demonstrated that the variability of inter-annual temperatures is the main factor explaining this pattern. We then used the datasets of six years to assess the chill and heat requirements of 285 cultivars. We classified Mediterranean olive cultivars into four groups according to their chill requirements. Our results, using the Kriging interpolation method, indicated that flowering dates of most of these cultivars (92%) were governed by both chilling and forcing temperatures. Our investigations provided first insights to select adapted cultivars to global warming.https://www.mdpi.com/2073-4395/12/12/2975<i>Olea europaea</i> L.flowering datapartial least squares regressiondynamic modelchill requirementsclimate change
spellingShingle Omar Abou-Saaid
Adnane El Yaacoubi
Abdelmajid Moukhli
Ahmed El Bakkali
Sara Oulbi
Magalie Delalande
Isabelle Farrera
Jean-Jacques Kelner
Sylvia Lochon-Menseau
Cherkaoui El Modafar
Hayat Zaher
Bouchaib Khadari
Statistical Approach to Assess Chill and Heat Requirements of Olive Tree Based on Flowering Date and Temperatures Data: Towards Selection of Adapted Cultivars to Global Warming
Agronomy
<i>Olea europaea</i> L.
flowering data
partial least squares regression
dynamic model
chill requirements
climate change
title Statistical Approach to Assess Chill and Heat Requirements of Olive Tree Based on Flowering Date and Temperatures Data: Towards Selection of Adapted Cultivars to Global Warming
title_full Statistical Approach to Assess Chill and Heat Requirements of Olive Tree Based on Flowering Date and Temperatures Data: Towards Selection of Adapted Cultivars to Global Warming
title_fullStr Statistical Approach to Assess Chill and Heat Requirements of Olive Tree Based on Flowering Date and Temperatures Data: Towards Selection of Adapted Cultivars to Global Warming
title_full_unstemmed Statistical Approach to Assess Chill and Heat Requirements of Olive Tree Based on Flowering Date and Temperatures Data: Towards Selection of Adapted Cultivars to Global Warming
title_short Statistical Approach to Assess Chill and Heat Requirements of Olive Tree Based on Flowering Date and Temperatures Data: Towards Selection of Adapted Cultivars to Global Warming
title_sort statistical approach to assess chill and heat requirements of olive tree based on flowering date and temperatures data towards selection of adapted cultivars to global warming
topic <i>Olea europaea</i> L.
flowering data
partial least squares regression
dynamic model
chill requirements
climate change
url https://www.mdpi.com/2073-4395/12/12/2975
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