Yield performance and stability analysis of three cultivars of Gayo Arabica coffee across six different environments

被引:0
|
作者
Wardiana, Edi [1 ]
Randriani, Enny [1 ]
Izzah, Nur Kholilatul [1 ]
Ibrahim, Meynarti Sari Dewi [1 ]
Sasmita, Kurnia Dewi [1 ]
Pranowo, Dibyo [1 ]
Herman, Maman [1 ]
Supriadi, Handi [1 ]
Aunillah, Asif [2 ]
Purwanto, Eko Heri [3 ]
Listyati, Dewi [4 ]
机构
[1] Natl Res & Innovat Agcy, Res Ctr Hort & Estate Crops, Jl Raya Jakarta Bogor Km 46, Bogor 16911, West Java, Indonesia
[2] Natl Res & Innovat Agcy, Res Ctr Agroind, Jl Raya Puspiptek 60, Tangerang City, Banten, Indonesia
[3] Natl Res & Innovat Agcy, Res Ctr Food Technol & Proc, Jl Jogja Wonosari KM 31, Yogyakarta 55861, Indonesia
[4] Natl Res & Innovat Agcy, Res Ctr Behav & Circular Econ, Jl Gatot Subroto 10, Jakarta 12710, Indonesia
来源
OPEN AGRICULTURE | 2024年 / 9卷 / 01期
关键词
AMMI biplot; combined ANOVA; ER method; GEI; GGE biplot; ALTITUDE;
D O I
10.1515/opag-2022-0249
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
The three cultivars of Gayo Arabica coffee (GAC) are distributed widely in the Gayo Highlands, Aceh Province, Indonesia, between 900 and 1,700 m above sea level (masl). The difference in altitude affects the yield and quality of coffee, and Arabica coffee has biennial bearing characteristics, so there are always annual yield fluctuations. This study aimed to determine the yield performance and stability level of the three GAC cultivars, Gayo 1, Gayo 2, and Gayo 3 (G3), across six different environments. The study used a randomized complete block design with three replications. The six environmental conditions are the combinations of two altitudes (900 and 1,500 masl) and 3 years of production (2019, 2020, and 2021). The estimation of coffee yields is based on the fruit value, which is calculated by the number of productive branches per tree, nodes per branch, berries per node, and the weight of a single cherry. An investigation of the genotype-by-environmental interaction using a combined analysis of variance and the yield performance and stability analysis performed using the Eberhart and Russell method, AMMI (additive main effects and multiplicative interaction) and GGE (genotype + genotype x environment) biplot analysis. Results showed that the yield performance of GAC was significantly affected by the interaction between genotype and environment. G3 was an ideal cultivar because it had high yield performance, was stable, and could adapt to broader environments in Gayo Highland. Therefore, G3 deserves high priority for Arabica coffee development in that region.
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页数:11
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