Shade effects on yield across different Coffea arabica cultivars — how much is too much? A meta-analysis

The coffee research community has maintained a long ongoing debate regarding the implications of shade trees in coffee production. Historically, there has been contrasting results and opinions on this matter, thus recommendations for the use of shade (namely in coffee agroforestry systems) are often deemed controversial, particularly due to potential yield declines and farmers' income. This study is one of the first demonstrating how several Coffea arabica cultivars respond differently to shade with respect to yield. By standardising more than 200 coffee yield data from various in-field trials, we assembled the so-called “Ristretto” data pool, a one of a kind, open-source dataset, consolidating decades of coffee yield data under shaded systems. With this standardised dataset, our meta-analysis demonstrated significant genotypic heterogeneity in response to shade, showing neutral, inverted U-shaped and decreasing trends between yield and shade cover amongst 18 different cultivars. These findings encourage the examination of C. arabica at the cultivar level when assessing suitability for agroforestry systems. Comparison of productivity is also encouraged across a range of low to moderate shade levels (10–40%), in order to help elucidate potential unknown optimal shade levels for coffee production.

Saved in:
Bibliographic Details
Main Authors: Koutouleas, Athina, Sarzynski, Thuan, Bertrand, Benoît, Bordeaux, Mélanie, Skovmand Bosselmann, Aske, Campa, Claudine, Etienne, Hervé, Turreira-Garcia, Nerea, Leran, Sophie, Markussen, Bo, Marraccini, Pierre, Cochicho Ramalho, José, Vaast, Philippe, Raebild, Anders
Format: article biblioteca
Language:eng
Subjects:F07 - Façons culturales, Coffea arabica, ombre, ombrage, agroforesterie, lumière du jour, rendement des cultures, banque de données, analyse de données, traitement des données, http://aims.fao.org/aos/agrovoc/c_1721, http://aims.fao.org/aos/agrovoc/c_14232, http://aims.fao.org/aos/agrovoc/c_7020, http://aims.fao.org/aos/agrovoc/c_207, http://aims.fao.org/aos/agrovoc/c_2135, http://aims.fao.org/aos/agrovoc/c_10176, http://aims.fao.org/aos/agrovoc/c_24833, http://aims.fao.org/aos/agrovoc/c_15962, http://aims.fao.org/aos/agrovoc/c_10289,
Online Access:http://agritrop.cirad.fr/601173/
http://agritrop.cirad.fr/601173/1/Koutouleas%20et%20al%20Agron%20Sustain%20Dev%202022.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-cirad-fr-601173
record_format koha
spelling dig-cirad-fr-6011732024-02-16T19:02:38Z http://agritrop.cirad.fr/601173/ http://agritrop.cirad.fr/601173/ Shade effects on yield across different Coffea arabica cultivars — how much is too much? A meta-analysis. Koutouleas Athina, Sarzynski Thuan, Bertrand Benoît, Bordeaux Mélanie, Skovmand Bosselmann Aske, Campa Claudine, Etienne Hervé, Turreira-Garcia Nerea, Leran Sophie, Markussen Bo, Marraccini Pierre, Cochicho Ramalho José, Vaast Philippe, Raebild Anders. 2022. Agronomy for Sustainable Development, 42:55, 13 p.https://doi.org/10.1007/s13593-022-00788-2 <https://doi.org/10.1007/s13593-022-00788-2> Shade effects on yield across different Coffea arabica cultivars — how much is too much? A meta-analysis Koutouleas, Athina Sarzynski, Thuan Bertrand, Benoît Bordeaux, Mélanie Skovmand Bosselmann, Aske Campa, Claudine Etienne, Hervé Turreira-Garcia, Nerea Leran, Sophie Markussen, Bo Marraccini, Pierre Cochicho Ramalho, José Vaast, Philippe Raebild, Anders eng 2022 Agronomy for Sustainable Development F07 - Façons culturales Coffea arabica ombre ombrage agroforesterie lumière du jour rendement des cultures banque de données analyse de données traitement des données http://aims.fao.org/aos/agrovoc/c_1721 http://aims.fao.org/aos/agrovoc/c_14232 http://aims.fao.org/aos/agrovoc/c_7020 http://aims.fao.org/aos/agrovoc/c_207 http://aims.fao.org/aos/agrovoc/c_2135 http://aims.fao.org/aos/agrovoc/c_10176 http://aims.fao.org/aos/agrovoc/c_24833 http://aims.fao.org/aos/agrovoc/c_15962 http://aims.fao.org/aos/agrovoc/c_10289 The coffee research community has maintained a long ongoing debate regarding the implications of shade trees in coffee production. Historically, there has been contrasting results and opinions on this matter, thus recommendations for the use of shade (namely in coffee agroforestry systems) are often deemed controversial, particularly due to potential yield declines and farmers' income. This study is one of the first demonstrating how several Coffea arabica cultivars respond differently to shade with respect to yield. By standardising more than 200 coffee yield data from various in-field trials, we assembled the so-called “Ristretto” data pool, a one of a kind, open-source dataset, consolidating decades of coffee yield data under shaded systems. With this standardised dataset, our meta-analysis demonstrated significant genotypic heterogeneity in response to shade, showing neutral, inverted U-shaped and decreasing trends between yield and shade cover amongst 18 different cultivars. These findings encourage the examination of C. arabica at the cultivar level when assessing suitability for agroforestry systems. Comparison of productivity is also encouraged across a range of low to moderate shade levels (10–40%), in order to help elucidate potential unknown optimal shade levels for coffee production. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/601173/1/Koutouleas%20et%20al%20Agron%20Sustain%20Dev%202022.pdf text Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1007/s13593-022-00788-2 10.1007/s13593-022-00788-2 info:eu-repo/semantics/altIdentifier/doi/10.1007/s13593-022-00788-2 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1007/s13593-022-00788-2 info:eu-repo/semantics/dataset/purl/https://erda.ku.dk/archives/f2f20f87a73abaeb7dbb31bd78086c58/published-archive.html
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic F07 - Façons culturales
Coffea arabica
ombre
ombrage
agroforesterie
lumière du jour
rendement des cultures
banque de données
analyse de données
traitement des données
http://aims.fao.org/aos/agrovoc/c_1721
http://aims.fao.org/aos/agrovoc/c_14232
http://aims.fao.org/aos/agrovoc/c_7020
http://aims.fao.org/aos/agrovoc/c_207
http://aims.fao.org/aos/agrovoc/c_2135
http://aims.fao.org/aos/agrovoc/c_10176
http://aims.fao.org/aos/agrovoc/c_24833
http://aims.fao.org/aos/agrovoc/c_15962
http://aims.fao.org/aos/agrovoc/c_10289
F07 - Façons culturales
Coffea arabica
ombre
ombrage
agroforesterie
lumière du jour
rendement des cultures
banque de données
analyse de données
traitement des données
http://aims.fao.org/aos/agrovoc/c_1721
http://aims.fao.org/aos/agrovoc/c_14232
http://aims.fao.org/aos/agrovoc/c_7020
http://aims.fao.org/aos/agrovoc/c_207
http://aims.fao.org/aos/agrovoc/c_2135
http://aims.fao.org/aos/agrovoc/c_10176
http://aims.fao.org/aos/agrovoc/c_24833
http://aims.fao.org/aos/agrovoc/c_15962
http://aims.fao.org/aos/agrovoc/c_10289
spellingShingle F07 - Façons culturales
Coffea arabica
ombre
ombrage
agroforesterie
lumière du jour
rendement des cultures
banque de données
analyse de données
traitement des données
http://aims.fao.org/aos/agrovoc/c_1721
http://aims.fao.org/aos/agrovoc/c_14232
http://aims.fao.org/aos/agrovoc/c_7020
http://aims.fao.org/aos/agrovoc/c_207
http://aims.fao.org/aos/agrovoc/c_2135
http://aims.fao.org/aos/agrovoc/c_10176
http://aims.fao.org/aos/agrovoc/c_24833
http://aims.fao.org/aos/agrovoc/c_15962
http://aims.fao.org/aos/agrovoc/c_10289
F07 - Façons culturales
Coffea arabica
ombre
ombrage
agroforesterie
lumière du jour
rendement des cultures
banque de données
analyse de données
traitement des données
http://aims.fao.org/aos/agrovoc/c_1721
http://aims.fao.org/aos/agrovoc/c_14232
http://aims.fao.org/aos/agrovoc/c_7020
http://aims.fao.org/aos/agrovoc/c_207
http://aims.fao.org/aos/agrovoc/c_2135
http://aims.fao.org/aos/agrovoc/c_10176
http://aims.fao.org/aos/agrovoc/c_24833
http://aims.fao.org/aos/agrovoc/c_15962
http://aims.fao.org/aos/agrovoc/c_10289
Koutouleas, Athina
Sarzynski, Thuan
Bertrand, Benoît
Bordeaux, Mélanie
Skovmand Bosselmann, Aske
Campa, Claudine
Etienne, Hervé
Turreira-Garcia, Nerea
Leran, Sophie
Markussen, Bo
Marraccini, Pierre
Cochicho Ramalho, José
Vaast, Philippe
Raebild, Anders
Shade effects on yield across different Coffea arabica cultivars — how much is too much? A meta-analysis
description The coffee research community has maintained a long ongoing debate regarding the implications of shade trees in coffee production. Historically, there has been contrasting results and opinions on this matter, thus recommendations for the use of shade (namely in coffee agroforestry systems) are often deemed controversial, particularly due to potential yield declines and farmers' income. This study is one of the first demonstrating how several Coffea arabica cultivars respond differently to shade with respect to yield. By standardising more than 200 coffee yield data from various in-field trials, we assembled the so-called “Ristretto” data pool, a one of a kind, open-source dataset, consolidating decades of coffee yield data under shaded systems. With this standardised dataset, our meta-analysis demonstrated significant genotypic heterogeneity in response to shade, showing neutral, inverted U-shaped and decreasing trends between yield and shade cover amongst 18 different cultivars. These findings encourage the examination of C. arabica at the cultivar level when assessing suitability for agroforestry systems. Comparison of productivity is also encouraged across a range of low to moderate shade levels (10–40%), in order to help elucidate potential unknown optimal shade levels for coffee production.
format article
topic_facet F07 - Façons culturales
Coffea arabica
ombre
ombrage
agroforesterie
lumière du jour
rendement des cultures
banque de données
analyse de données
traitement des données
http://aims.fao.org/aos/agrovoc/c_1721
http://aims.fao.org/aos/agrovoc/c_14232
http://aims.fao.org/aos/agrovoc/c_7020
http://aims.fao.org/aos/agrovoc/c_207
http://aims.fao.org/aos/agrovoc/c_2135
http://aims.fao.org/aos/agrovoc/c_10176
http://aims.fao.org/aos/agrovoc/c_24833
http://aims.fao.org/aos/agrovoc/c_15962
http://aims.fao.org/aos/agrovoc/c_10289
author Koutouleas, Athina
Sarzynski, Thuan
Bertrand, Benoît
Bordeaux, Mélanie
Skovmand Bosselmann, Aske
Campa, Claudine
Etienne, Hervé
Turreira-Garcia, Nerea
Leran, Sophie
Markussen, Bo
Marraccini, Pierre
Cochicho Ramalho, José
Vaast, Philippe
Raebild, Anders
author_facet Koutouleas, Athina
Sarzynski, Thuan
Bertrand, Benoît
Bordeaux, Mélanie
Skovmand Bosselmann, Aske
Campa, Claudine
Etienne, Hervé
Turreira-Garcia, Nerea
Leran, Sophie
Markussen, Bo
Marraccini, Pierre
Cochicho Ramalho, José
Vaast, Philippe
Raebild, Anders
author_sort Koutouleas, Athina
title Shade effects on yield across different Coffea arabica cultivars — how much is too much? A meta-analysis
title_short Shade effects on yield across different Coffea arabica cultivars — how much is too much? A meta-analysis
title_full Shade effects on yield across different Coffea arabica cultivars — how much is too much? A meta-analysis
title_fullStr Shade effects on yield across different Coffea arabica cultivars — how much is too much? A meta-analysis
title_full_unstemmed Shade effects on yield across different Coffea arabica cultivars — how much is too much? A meta-analysis
title_sort shade effects on yield across different coffea arabica cultivars — how much is too much? a meta-analysis
url http://agritrop.cirad.fr/601173/
http://agritrop.cirad.fr/601173/1/Koutouleas%20et%20al%20Agron%20Sustain%20Dev%202022.pdf
work_keys_str_mv AT koutouleasathina shadeeffectsonyieldacrossdifferentcoffeaarabicacultivarshowmuchistoomuchametaanalysis
AT sarzynskithuan shadeeffectsonyieldacrossdifferentcoffeaarabicacultivarshowmuchistoomuchametaanalysis
AT bertrandbenoit shadeeffectsonyieldacrossdifferentcoffeaarabicacultivarshowmuchistoomuchametaanalysis
AT bordeauxmelanie shadeeffectsonyieldacrossdifferentcoffeaarabicacultivarshowmuchistoomuchametaanalysis
AT skovmandbosselmannaske shadeeffectsonyieldacrossdifferentcoffeaarabicacultivarshowmuchistoomuchametaanalysis
AT campaclaudine shadeeffectsonyieldacrossdifferentcoffeaarabicacultivarshowmuchistoomuchametaanalysis
AT etienneherve shadeeffectsonyieldacrossdifferentcoffeaarabicacultivarshowmuchistoomuchametaanalysis
AT turreiragarcianerea shadeeffectsonyieldacrossdifferentcoffeaarabicacultivarshowmuchistoomuchametaanalysis
AT leransophie shadeeffectsonyieldacrossdifferentcoffeaarabicacultivarshowmuchistoomuchametaanalysis
AT markussenbo shadeeffectsonyieldacrossdifferentcoffeaarabicacultivarshowmuchistoomuchametaanalysis
AT marraccinipierre shadeeffectsonyieldacrossdifferentcoffeaarabicacultivarshowmuchistoomuchametaanalysis
AT cochichoramalhojose shadeeffectsonyieldacrossdifferentcoffeaarabicacultivarshowmuchistoomuchametaanalysis
AT vaastphilippe shadeeffectsonyieldacrossdifferentcoffeaarabicacultivarshowmuchistoomuchametaanalysis
AT raebildanders shadeeffectsonyieldacrossdifferentcoffeaarabicacultivarshowmuchistoomuchametaanalysis
_version_ 1792500362855317504