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.
Main Authors: | , , , , , , , , , , , , , |
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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 |
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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 |
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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 |
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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 |
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