KnE Social Sciences

ISSN: 2518-668X

The latest conference proceedings on humanities, arts and social sciences.

Stability Analysis of Peko Production in Some Genotypes of Indonesian Tea Using AMMI

Published date: Aug 29 2024

Journal Title: KnE Social Sciences

Issue title: Annual Symposium on Applied Business Economics and Communication (ASABEC) 2023

Pages: 364–371

DOI: 10.18502/kss.v9i25.16984

Authors:

Gima SewiningratDepartment of Statistics, IPB University, Jl. Meranti Wing 22 Level 4 Kampus IPB Darmaga Bogor 16680, West Java

Aam AlamudiDepartment of Statistics, IPB University, Jl. Meranti Wing 22 Level 4 Kampus IPB Darmaga Bogor 16680, West Java

Budi Martonobudi077@brin.go.idResearch Center for Estate Crops, Research Organization for Agriculture and Food, National Research and Innovation Agency, Cibinong Science Center, Jl. Raya Jakarta-Bogor, Cibinong, Bogor 16915, West Java

Nur AjijahResearch Center for Estate Crops, Research Organization for Agriculture and Food, National Research and Innovation Agency, Cibinong Science Center, Jl. Raya Jakarta-Bogor, Cibinong, Bogor 16915, West Java

Rusli ‎ Research Center for Estate Crops, Research Organization for Agriculture and Food, National Research and Innovation Agency, Cibinong Science Center, Jl. Raya Jakarta-Bogor, Cibinong, Bogor 16915, West Java

Nana HeryanaResearch Center for Estate Crops, Research Organization for Agriculture and Food, National Research and Innovation Agency, Cibinong Science Center, Jl. Raya Jakarta-Bogor, Cibinong, Bogor 16915, West Java

Abstract:

White tea is made from peko shoots, which is beneficial for human health as an antivirus including avian influenza, antidiabetic, anticancer, antimicrobial, and reduces oxidative stress. White tea production is still low due to the lack of peko shoot production as its raw material. This study aims to evaluate the stability of peko production of 9 Indonesian tea genotypes in producing peko shoots. Nine tea genotypes were observed at six different times. The research was conducted in a randomized block design with four replications. The time is treated as a location factor in the AMMI model, and can be assumed to be independent of each other. The results of the study showed that the main effect of time was significant for KUI1 and KUI2 tea genotypes. In the biplot it appears that GMB 3, GMB 4, Tambi 1, and Kiara 8 are stable genotypes. GMB 3 and Tambi 1 have higher stability, respectively with an average percentage of peko shoots over banji shoots of 38% and 39%. The stable genotypes could be recommended for further development.

Keywords: white tea, AMMI, randomized block design

References:

[1] Sousa LB, Hamawaki OT, Nogueira APO, Batista RO, Oliveira VM, Hamawaki RL. Evaluation of soybean lines and environmental stratification using the AMMI, GGE biplot, and factor analysis methods. 2015;

[2] Hermeto LC, DeRossi R, Oliveira RJ, Pesarini JR, Antoniolli-Silva AC, Jardim PH, et al. Effects of intra-articular injection of mesenchymal stem cells associated with plateletrich plasma in a rabbit model of osteoarthritis. Genet Mol Res. 2016 Sep;15(3):gmr- 15038569.

[3] Rodrigues PC, Monteiro A, Lourenço VM. A robust AMMI model for the analysis of genotype-by-environment data. Bioinformatics. 2016 Jan;32(1):58–66.

[4] Vaezi B, Pour-Aboughadareh A, Mohammadi R, Armion M, Mehraban A, Hossein- Pour T, et al. GGE biplot and AMMI analysis of barley yield performance in Iran. Cereal Res Commun. 2017;45(3):500–11.

[5] Tena E, Goshu F, Mohamad H, Tesfa M, Tesfaye D, Seife A. Genotype× environment interaction by AMMI and GGE-biplot analysis for sugar yield in three crop cycles of sugarcane (Saccharum officinirum L.) clones in Ethiopia. Cogent Food Agric. 2019;5(1):1651925.

[6] Kendal E, Karaman M, Tekdal S, Doğan S. Analysis of promising barley (Hordeum vulgare L.) lines performance by AMMI and GGE biplot in multiple traits and environment. Appl Ecol Environ Res. 2019;17(2):5219–33.

[7] Enyew M, Feyissa T, Geleta M, Tesfaye K, Hammenhag C, Carlsson AS. Genotype by environment interaction, correlation, AMMI, GGE biplot and cluster analysis for grain yield and other agronomic traits in sorghum (Sorghum bicolor L. Moench). PLoS One. 2021 Oct;16(10):e0258211.

[8] Mattjik AA, Sumertajaya IM, Silvianti P. Klasifikasi Genotipe Pada Data Tidak Lengkap Dengan Pendekatan Model AMMI. In: Forum Statistika dan Komputasi. 2007.

[9] Crossa J. Statistical analyses of multilocation trials. Adv Agron. 1990;44:55–85.

[10] PPTK. Petunjuk Kultur Teknis Tanaman Teh. Bandung: Pusat Penelitian Teh dan Kina (PPTK) Gambung; 2006.

[11] Wijoseno G, Indradewa D, Putra ET. Potensi Hasil dan Toleransi Curah hujan beberapa Klon Teh (Camelllia sinensis (L.) O. Kuntze) PGL di Bagian Kebun Kayulandak, PT. Pagilaran. Vegetalika. 2012;1(3):64–77.

[12] Kementan. -. Kepmentan RI No. 266/Kpts/KB.230/4/88; 1998.

[13] Kementan. Kepmentan RI No. 157/Kpts/KB 010/2/2018. Kepmentan RI No. 157/Kpts/KB 010/2/2018; 2018.

[14] Fentie M, Assefa A, Belete K. AMMI analysis of yield performance and stability of finger millet genotypes across different environments. World J Agric Sci. 2013;9(3):231–7.

Download
HTML
Cite
Share
statistics

11 Abstract Views

41 PDF Downloads