Correlation and Path Analysis Quantitative Character of 20 Genotype Chilli (Capsicum annuum L.)
Analisis Korelasi dan Sidik Lintas Karakter Kuantitatif 20 Genotipe Cabai (Capsicum annuum L.)
Abstract
ABSTRACT
Chili high yield is the target of plant breeding. High yielding chili selection can be done through direct selection of yield characters and indirectly through other characters. Indirect selection is more efficient than the selection of one character. This research aims to study the relationship between quantitative characters with yield as well as obtaining the selection criteria. Correlation analysis results showed that the fruit weight, fruit diameter, pericarp thickness, leaf width, and leaf length were positively correlated and were very significant on yield. Based on the path analysis, characters that have a positive direct effect on yield are fruit weight, fruit diameter, leaf width, and leaf length, while pericarp thickness had a negative direct effect but had a large indirect effect on yield.
Downloads
References
18Deviona, R. Yunianti, M. Syukur, M.R.A. Istiqlal. 2011. Analisis korelasi dan sidik lintas karakter fenotipik 15 genotipe cabai (Capsicum annuumL.) koleksi IPB. Prosiding Seminar Nasional PERHORTI 2011 (217-226).Selvamuthu, D., D. Das. 2018. Introduction to StatisticalMethods, Designof Experiments and StatisticalQuality Control. Springer. Singapore. 430hal.Moeljopawiro,S. 2002. Optimizing selection for yield using selection index. Zuriat. 13(1):35-43.Nasution, M.A. 2010. Analisis korelasi dan sidik lintas antara karakter morfologi dan Komponen buah tanaman nenas (Ananas comosus L. Merr.). Crop Agro 3(1):1-9.Oktavianti, R., Maizar, Rosmaina. 2019. Aplikasi PCR (polimerase chain reaction) menggunakan primer spesifik untuk mendeteksi cabai yang toleran terhadap kekeringan. Jurnal Agronomi dan Tanaman Tropika 1(2):49-https://doi.org/10.36378/juatika.v1i2.176
66.Rohaeni W. R. 2010. Pendugaan parameter genetik dan seleksi rilsF6 kedelai hasil SSD untuk toleransi terhadap intensitas cahaya rendah. [Thesis] sekolah pascasarjana Institut Pertanian Bogor. Singh, R.K.,B.D. Chaudhary. 2006. Biometrical Methods in Quantitative Genetics Analysis.Kalyani Publishers. New Delhi. 302p.Syukur,M., S. Sujiprihati, R. Yunianti, K. Nida. (2010). Pendugaan Komponen Ragam, Heritabilitas dan Korelasiuntuk Menentukan Kriteria Seleksi Cabai (Capsicum annuum L.) Populasi F5. Jurnal Hortikultura Indonesia 1(3): 74-80.Wahyuni, T.S., R. Setiamihardja, N. Hermiati, K.H. Hendroatmodjo. 2004. Variabilitas genetik, heritabilitas dan hubungan antara hasil umbi dengan beberapa karakter kuantitatif dari 52 genotipeubi jalar. Zuriat 15(2):109-117
Authors who publish with Jurnal Agronomi Tanaman Tropika (JUATIKA) agree to the following terms:
Authors retain copyright and grant the Jurnal Agronomi Tanaman Tropika (JUATIKA) right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY 4.0) that allows others to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material for any purpose, even commercially) with an acknowledgment of the work's authorship and initial publication in Jurnal Agronomi Tanaman Tropika (JUATIKA).
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in Jurnal Agronomi Tanaman Tropika (JUATIKA). Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.