Phenotypic characterization of Amaro coffee (Coffea arabica L.) local accessions using multi-variate techniques at Awada, Southern Ethiopia

被引:1
|
作者
Alemayehu, Desalegn [1 ]
Garedew, Weyessa [2 ]
Abebe, Abush Tesfaye [3 ]
机构
[1] Jimma Agr Res Ctr, Jimma, Ethiopia
[2] Jimma Univ, Coll Agr & Vet Med, Jimma, Ethiopia
[3] Int Inst Trop Agr, Ibadan, Nigeria
关键词
Clustering; Coffee arabica; phenotypic characterization; principal component; Shannon-Weaver index;
D O I
10.1017/S1479262122000119
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
As a country of origin of coffee, Ethiopia is endowed with an immense diversity of the crop in its diverse coffee-growing agro-ecologies. Amaro Kelo is one of the major coffee production agro-ecologies in Ethiopia, where the genetic diversity of its landrace coffee germplasm was not properly characterized previously. The study aimed to characterize 64 Amaro Kelo local coffee accessions to understand the potential of the accessions for utilization in future coffee genetic improvement efforts. The experiment was laid out in an 8 x 8 simple lattice design with two replications at Awada Agricultural Research Sub-Center. Data were collected on 19 quantitative and 10 qualitative traits, and subjected to multivariate analyses, i.e. cluster and principal component analyses. The cluster analysis identified five clusters based on the quantitative characters, and the distances between most of the clusters were highly significant at P < 0.01. Principal component analysis revealed the first six principal components with Eigenvalues greater than one accounted for 77.7% of the total variation. The first two principal components with respective contributions of 23.32 and 18.85% cumulatively accounted for 42.2% of the total variation in the accessions. In addition, high values of Shannon-diversity index were found for the qualitative traits: branching habit, growth habit, fruit shape, overall appearance and stem habit. In general, the multivariate analyses confirmed the presence of high variation among the studied Amaro-Kelo coffee accessions that might serve as an important genetic resource for future coffee genetic improvement or conservation efforts.
引用
收藏
页码:46 / 54
页数:9
相关论文
共 8 条
  • [1] Molecular characterization of Arabica Coffee (Coffea arabica L.) germplasms and their contribution to biodiversity in Ethiopia
    Dida, Gudeta
    Bantte, Kassahun
    Disasa, Tesfaye
    PLANT BIOTECHNOLOGY REPORTS, 2021, 15 (06) : 791 - 804
  • [2] Molecular characterization of Arabica Coffee (Coffea arabica L.) germplasms and their contribution to biodiversity in Ethiopia
    Gudeta Dida
    Kassahun Bantte
    Tesfaye Disasa
    Plant Biotechnology Reports, 2021, 15 : 791 - 804
  • [3] Diversity genotyping of Indian coffee (Coffea arabica L.) germplasm accessions by using SRAP markers
    Jingade, Pavankumar
    Huded, Arun Kumar
    Kosaraju, Bharathi
    Mishra, Manoj Kumar
    JOURNAL OF CROP IMPROVEMENT, 2019, 33 (03) : 327 - 345
  • [4] Characterization of Extracts of Coffee Leaves (Coffea arabica L.) by Spectroscopic and Chromatographic/Spectrometric Techniques
    Cangeloni, Lorenzo
    Bonechi, Claudia
    Leone, Gemma
    Consumi, Marco
    Andreassi, Marco
    Magnani, Agnese
    Rossi, Claudio
    Tamasi, Gabriella
    FOODS, 2022, 11 (16)
  • [5] Genetic diversity among commercial arabica coffee (Coffea arabica L.) varieties in Ethiopia using simple sequence repeat markers
    Benti, Tadesse
    Gebre, Endale
    Tesfaye, Kassahun
    Berecha, Gezahegn
    Lashermes, Philippe
    Kyallo, Martina
    Yao, Nasser Kouadio
    JOURNAL OF CROP IMPROVEMENT, 2021, 35 (02) : 147 - 168
  • [6] EVALUATION OF COFFEA ARABICA L. ACCESSIONS FROM ETHIOPIA FOR RESISTANCE TO THE KONA COFFEE ROOT-KNOT NEMATODE, MELOIDOGYNE KONAENSIS.
    Aoki, Sayaka
    Nagai, C.
    Sipes, B.
    JOURNAL OF NEMATOLOGY, 2009, 41 (04) : 304 - 304
  • [7] Assessment of Genetic Diversity among Elite Breeding Lines of Arabica Coffee (Coffea arabica L.) in Ethiopia using Simple Sequence Repeats Markers
    Benti T.
    Gebre E.
    Tesfaye K.
    Berecha G.
    Lashermes P.
    Kyalo M.
    Yao N.K.
    American Journal of Biochemistry and Biotechnology, 2022, 18 (04): : 394 - 404
  • [8] Urdbean (Vigna mungo L. Hepper) cultivar characterization based on multiple seed and flour properties and their multi-variate analysis using artificial neural network
    Sen Gupta, Debjyoti
    Sharanagat, Vijay Singh
    Chakraborty, Gourav
    Kumar, Jitendra
    Parihar, A. K.
    Yadav, Tanmay
    Swaraj, Srishti
    Upadhyay, Srishti
    Desai, Shivani
    Katiyar, P. K.
    Das, S. P.
    Rana, J. C.
    Dixit, G. P.
    FOOD PRODUCTION PROCESSING AND NUTRITION, 2025, 7 (01)