Plant agronomy, leaf ecophysiology, yield and quality data of interspecific grafted Coffea arabica across an elevation gradient

In-field data were collected in Costa Rica between 2018–2021 on newly planted grafted and non-grafted coffee plants grown under artificial shade nets and across an elevation gradient (1050, 1250 and 1450 m.a.s.l). The coffee plants consisted of Coffea arabica F1 hybrid plants (‘H3 i.e. Caturra cv. X...

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Main Authors: Athina Koutouleas, Conor Blunt, Aljoša Bregar, Jon Kehlet Hansen, Anders Ræbild, Hervé Etienne, Frédéric Georget
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340923006601
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author Athina Koutouleas
Conor Blunt
Aljoša Bregar
Jon Kehlet Hansen
Anders Ræbild
Hervé Etienne
Frédéric Georget
author_facet Athina Koutouleas
Conor Blunt
Aljoša Bregar
Jon Kehlet Hansen
Anders Ræbild
Hervé Etienne
Frédéric Georget
author_sort Athina Koutouleas
collection DOAJ
description In-field data were collected in Costa Rica between 2018–2021 on newly planted grafted and non-grafted coffee plants grown under artificial shade nets and across an elevation gradient (1050, 1250 and 1450 m.a.s.l). The coffee plants consisted of Coffea arabica F1 hybrid plants (‘H3 i.e. Caturra cv. X Ethiopian 531’), which were derived from a somatic embryogenesis clonal propagation process, an American C. arabica pure line (‘Villa Sarchi’) and C. canephora ‘Nemaya’ (the latter two both being produced by seed). Data from eight different coffee types (including these three genotypes) and different grafting combinations (including reverse and auto-grafting) were collected. Data concerned plant traits such as grafting compatibility (plant collar diameters above and below graft union), agronomic characteristics (aerial and root traits), leaf ecophysiology (leaf gas-exchange and chlorophyll fluorescence), yield and quality attributes (bean size, peaberry percentage, WB100 and SCA note). Climate data were also included for comparison on the farm plots along the elevation gradient. Linear mixed models were used to test for effects of elevation (test sites), coffee types (grafted or non-grafted combinations) and interaction between coffee types and elevations. Least square mean estimates were calculated for significant fixed effects and Tukey tests applied for pairwise tests. A tangential hyperbola curve was used to analyse leaf gas-exchange data. These datasets and R scripts can be re-used as a guide for future analyses concerning coffee agronomy or eco-physiological interactions for other plant species. Other potential re-uses could be meta-analyses aimed at comparing coffee yield, quality, or other agronomic traits across different environmental conditions (such as under shade of an agroforestry system or across different elevation sites).
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spelling doaj.art-f18dfbc760a0471ea22d4aa00c46e3d92023-10-13T11:05:04ZengElsevierData in Brief2352-34092023-10-0150109560Plant agronomy, leaf ecophysiology, yield and quality data of interspecific grafted Coffea arabica across an elevation gradientAthina Koutouleas0Conor Blunt1Aljoša Bregar2Jon Kehlet Hansen3Anders Ræbild4Hervé Etienne5Frédéric Georget6Department of Geosciences and Natural Resource Management, University of Copenhagen, Rolighedsvej 23, 1958 Frederiksberg C, Denmark; Corresponding authors.Department of Geosciences and Natural Resource Management, University of Copenhagen, Rolighedsvej 23, 1958 Frederiksberg C, DenmarkDepartment of Geosciences and Natural Resource Management, University of Copenhagen, Rolighedsvej 23, 1958 Frederiksberg C, DenmarkDepartment of Geosciences and Natural Resource Management, University of Copenhagen, Rolighedsvej 23, 1958 Frederiksberg C, DenmarkDepartment of Geosciences and Natural Resource Management, University of Copenhagen, Rolighedsvej 23, 1958 Frederiksberg C, DenmarkCIRAD (Centre de Coopération Internationale en Recherche Agronomique pour le Développement), UMR DIADE, F-34398 Montpellier, France; UMR DIADE (Diversity, Adaptation, Development of Plants), University of Montpellier, CIRAD, IRD, F-34398 Montpellier, FranceCIRAD (Centre de Coopération Internationale en Recherche Agronomique pour le Développement), UMR DIADE, F-34398 Montpellier, France; Corresponding authors.In-field data were collected in Costa Rica between 2018–2021 on newly planted grafted and non-grafted coffee plants grown under artificial shade nets and across an elevation gradient (1050, 1250 and 1450 m.a.s.l). The coffee plants consisted of Coffea arabica F1 hybrid plants (‘H3 i.e. Caturra cv. X Ethiopian 531’), which were derived from a somatic embryogenesis clonal propagation process, an American C. arabica pure line (‘Villa Sarchi’) and C. canephora ‘Nemaya’ (the latter two both being produced by seed). Data from eight different coffee types (including these three genotypes) and different grafting combinations (including reverse and auto-grafting) were collected. Data concerned plant traits such as grafting compatibility (plant collar diameters above and below graft union), agronomic characteristics (aerial and root traits), leaf ecophysiology (leaf gas-exchange and chlorophyll fluorescence), yield and quality attributes (bean size, peaberry percentage, WB100 and SCA note). Climate data were also included for comparison on the farm plots along the elevation gradient. Linear mixed models were used to test for effects of elevation (test sites), coffee types (grafted or non-grafted combinations) and interaction between coffee types and elevations. Least square mean estimates were calculated for significant fixed effects and Tukey tests applied for pairwise tests. A tangential hyperbola curve was used to analyse leaf gas-exchange data. These datasets and R scripts can be re-used as a guide for future analyses concerning coffee agronomy or eco-physiological interactions for other plant species. Other potential re-uses could be meta-analyses aimed at comparing coffee yield, quality, or other agronomic traits across different environmental conditions (such as under shade of an agroforestry system or across different elevation sites).http://www.sciencedirect.com/science/article/pii/S2352340923006601AgroforestryAgronomyArtificial ShadeCoffea canephoraCoffeeCosta Rica
spellingShingle Athina Koutouleas
Conor Blunt
Aljoša Bregar
Jon Kehlet Hansen
Anders Ræbild
Hervé Etienne
Frédéric Georget
Plant agronomy, leaf ecophysiology, yield and quality data of interspecific grafted Coffea arabica across an elevation gradient
Data in Brief
Agroforestry
Agronomy
Artificial Shade
Coffea canephora
Coffee
Costa Rica
title Plant agronomy, leaf ecophysiology, yield and quality data of interspecific grafted Coffea arabica across an elevation gradient
title_full Plant agronomy, leaf ecophysiology, yield and quality data of interspecific grafted Coffea arabica across an elevation gradient
title_fullStr Plant agronomy, leaf ecophysiology, yield and quality data of interspecific grafted Coffea arabica across an elevation gradient
title_full_unstemmed Plant agronomy, leaf ecophysiology, yield and quality data of interspecific grafted Coffea arabica across an elevation gradient
title_short Plant agronomy, leaf ecophysiology, yield and quality data of interspecific grafted Coffea arabica across an elevation gradient
title_sort plant agronomy leaf ecophysiology yield and quality data of interspecific grafted coffea arabica across an elevation gradient
topic Agroforestry
Agronomy
Artificial Shade
Coffea canephora
Coffee
Costa Rica
url http://www.sciencedirect.com/science/article/pii/S2352340923006601
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