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. Shade effects on yield across different Coffea arabica cultivars — how much is too much? A meta-analysis. Agronomy for Sustainable Development, 42:55, 13 p.

https://doi.org/10.1007/s13593-022-00788-2

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Koutouleas et al Agron Sustain Dev 2022.pdf
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Résumé : 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.

Mots-clés Agrovoc : Coffea arabica, ombre, ombrage, agroforesterie, lumière du jour, rendement des cultures, banque de données, analyse de données, traitement des données

Mots-clés complémentaires : intensité lumineuse, dataset

Mots-clés libres : Coffee, Agroforesterie, Coffea arabica, Agroforestry systems, Climate Change, Crop management, Light intensity, Meta-analysis, Yield

Classification Agris : F07 - Façons culturales

Champ stratégique Cirad : CTS 2 (2019-) - Transitions agroécologiques

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