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

Research output: Contribution to journalJournal articlepeer-review

Standard

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; Bosselmann, Aske Skovmand; Campa, Claudine; Etienne, Hervé; Turreira-García, Nerea; Léran, Sophie; Markussen, Bo; Marraccini, Pierre; Ramalho, José Cochicho ; Vaast, Philippe; Ræbild, Anders.

In: Agronomy for Sustainable Development, Vol. 42, 55, 2022.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Koutouleas, A, Sarzynski, T, Bertrand, B, Bordeaux, M, Bosselmann, AS, Campa, C, Etienne, H, Turreira-García, N, Léran, S, Markussen, B, Marraccini, P, Ramalho, JC, Vaast, P & Ræbild, A 2022, 'Shade effects on yield across different Coffea arabica cultivars — how much is too much? A meta-analysis', Agronomy for Sustainable Development, vol. 42, 55. https://doi.org/10.1007/s13593-022-00788-2

APA

Koutouleas, A., Sarzynski, T., Bertrand, B., Bordeaux, M., Bosselmann, A. S., Campa, C., Etienne, H., Turreira-García, N., Léran, S., Markussen, B., Marraccini, P., Ramalho, J. C., Vaast, P., & Ræbild, A. (2022). Shade effects on yield across different Coffea arabica cultivars — how much is too much? A meta-analysis. Agronomy for Sustainable Development, 42, [55]. https://doi.org/10.1007/s13593-022-00788-2

Vancouver

Koutouleas A, Sarzynski T, Bertrand B, Bordeaux M, Bosselmann AS, Campa C et al. Shade effects on yield across different Coffea arabica cultivars — how much is too much? A meta-analysis. Agronomy for Sustainable Development. 2022;42. 55. https://doi.org/10.1007/s13593-022-00788-2

Author

Koutouleas, Athina ; Sarzynski, Thuan ; Bertrand, Benoît ; Bordeaux, Mélanie ; Bosselmann, Aske Skovmand ; Campa, Claudine ; Etienne, Hervé ; Turreira-García, Nerea ; Léran, Sophie ; Markussen, Bo ; Marraccini, Pierre ; Ramalho, José Cochicho ; Vaast, Philippe ; Ræbild, Anders. / Shade effects on yield across different Coffea arabica cultivars — how much is too much? A meta-analysis. In: Agronomy for Sustainable Development. 2022 ; Vol. 42.

Bibtex

@article{34992aab57df466dab40538088c2fe1c,
title = "Shade effects on yield across different Coffea arabica cultivars — how much is too much?: A meta-analysis",
abstract = "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{\textquoteright} 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.",
author = "Athina Koutouleas and Thuan Sarzynski and Beno{\^i}t Bertrand and M{\'e}lanie Bordeaux and Bosselmann, {Aske Skovmand} and Claudine Campa and Herv{\'e} Etienne and Nerea Turreira-Garc{\'i}a and Sophie L{\'e}ran and Bo Markussen and Pierre Marraccini and Ramalho, {Jos{\'e} Cochicho} and Philippe Vaast and Anders R{\ae}bild",
year = "2022",
doi = "10.1007/s13593-022-00788-2",
language = "English",
volume = "42",
journal = "Agronomy for Sustainable Development",
issn = "1774-0746",
publisher = "Springer-Verlag France",

}

RIS

TY - JOUR

T1 - Shade effects on yield across different Coffea arabica cultivars — how much is too much?

T2 - A meta-analysis

AU - Koutouleas, Athina

AU - Sarzynski, Thuan

AU - Bertrand, Benoît

AU - Bordeaux, Mélanie

AU - Bosselmann, Aske Skovmand

AU - Campa, Claudine

AU - Etienne, Hervé

AU - Turreira-García, Nerea

AU - Léran, Sophie

AU - Markussen, Bo

AU - Marraccini, Pierre

AU - Ramalho, José Cochicho

AU - Vaast, Philippe

AU - Ræbild, Anders

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

U2 - 10.1007/s13593-022-00788-2

DO - 10.1007/s13593-022-00788-2

M3 - Journal article

VL - 42

JO - Agronomy for Sustainable Development

JF - Agronomy for Sustainable Development

SN - 1774-0746

M1 - 55

ER -

ID: 311119974