Koutouleas Athina, Blunt Conor, Bregar Aljoša, Hansen Jon Kehlet, Ræbild Anders, Etienne Hervé, Georget Frédéric
Department of Geosciences and Natural Resource Management, University of Copenhagen, Rolighedsvej 23, 1958 Frederiksberg C, Denmark.
CIRAD (Centre de Coopération Internationale en Recherche Agronomique pour le Développement), UMR DIADE, F-34398 Montpellier, France.
Data Brief. 2023 Sep 12;50:109560. doi: 10.1016/j.dib.2023.109560. eCollection 2023 Oct.
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 F1 hybrid plants ('H3 Caturra cv. X Ethiopian 531'), which were derived from a somatic embryogenesis clonal propagation process, an American pure line ('Villa Sarchi') and '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).
2018年至2021年期间，在哥斯达黎加收集了田间数据，这些数据涉及新种植的嫁接和未嫁接咖啡植株，这些植株生长在人工遮阳网下，并跨越一个海拔梯度（海拔1050米、1250米和1450米）。咖啡植株包括通过体细胞胚胎发生克隆繁殖过程获得的F1杂交植株（'H3卡杜拉品种×埃塞俄比亚531'）、一个美国纯系（'比利亚·萨尔基'）和'内马亚'（后两者均由种子培育而成）。收集了来自八种不同咖啡类型（包括这三种基因型）和不同嫁接组合（包括反向嫁接和自体嫁接）的数据。数据涉及植株性状，如嫁接亲和性（嫁接部位上方和下方的植株茎干直径）、农艺特征（地上部和根系性状）、叶片生态生理学（叶片气体交换和叶绿素荧光）、产量和品质属性（豆粒大小、圆豆百分比、WB100和特种咖啡协会评分）。还纳入了气候数据，以便在沿海拔梯度的农场地块上进行比较。使用线性混合模型来检验海拔（试验地点）、咖啡类型（嫁接或未嫁接组合）以及咖啡类型与海拔之间的相互作用的影响。对显著的固定效应计算最小二乘均值估计值，并应用Tukey检验进行成对检验。使用正切双曲线曲线分析叶片气体交换数据。这些数据集和R脚本可作为未来关于咖啡农艺学或其他植物物种生态生理相互作用分析的指南重新使用。其他潜在的重新用途可能是旨在比较不同环境条件下（如在农林复合系统的遮荫下或不同海拔地点）咖啡产量、品质或其他农艺性状的荟萃分析。
