Open AccessSELECTION OF VEGETATIVE AND GENERATIVE CHARACTERS OF ARABICA COFFEE BY USING SEQUENTIAL PATH ANALYSIS AND STRUCTURAL EQUATION MODELS
Author(s) -
Edi Wardiana,
Dibyo Pranowo
Publication year - 2020
Publication title -
jurnal penelitian tanaman industri (industrial crops research journal)/jurnal penelitian tanaman industri
Language(s) - English
Resource type - Journals
eISSN - 2528-6870
pISSN - 0853-8212
DOI - 10.21082/jlittri.v20n2.2014.77-86
Subject(s) - path analysis (statistics) , selection (genetic algorithm) , yield (engineering) , horticulture , mathematics , arabica coffee , generative grammar , population , botany , chemistry , biology , statistics , physics , demography , computer science , artificial intelligence , sociology , thermodynamics
Interrelations among vegetative, generative and yield characters in coffee plantation is important in breeding and selection programs. Interrelationships among these characters are the causal model and it can be analyzed by Sequential Path Analysis (SPA). This research was carried out at Pakuwon Experimental Station located at 450 m above sea level, in Latosol soil type with B type of climate, from December 2010 to April 2012. The objectives of this research is to analyze the direct or indirect influence of several vegetative and generative characters on yield characters of Arabica coffee through the application of SPA and Structural Equation Models (SEM). The observation method with systematic sampling on 40 Arabica coffee plants of Kartika 1 and Kartika 2 varieties were used in this study. The results showed that the number of cherries of Arabica coffee var. Kartika 1 and 2 population in Pakuwon Experimental Station were affected directly by generative and indirectly by vegetative characters. Plant height and stem girth can be used as positive selection criteria for high yielding at vegetatite phase, while the character of width canophy can be used as negative selection criteria. In generative phase, the character of quantity of productive branches and the amount of berries and flower cluster can be used as positive selection criteria. Keywords: Coffea arabica, selection, vegetative, generative, yield, sequential path analysis, structural equation models ABSTRAK Keterkaitan antara karakter vegetatif, generatif dan hasil pada tanaman kopi merupakan hal penting dalam program pemuliaan dan seleksi. Model saling keterkaitan antar karakter tersebut adalah model sebab-akibat dan dapat dianalisis melalui Analisis Lintasan Bertahap (ALB). Penelitian ini dilakukan di Kebun Percobaan Pakuwon, pada ketinggian tempat 450 m dpl, jenis tanah Latosol, dan tipe iklim B, mulai bulan Desember 2010 sampai April 2012. Tujuan penelitian adalah untuk menganalisis beberapa karakter vegetatif dan generatif yang berpengaruh terhadap karakter hasil tanaman kopi Arabika melalui penggunaan ALB dan Model Persamaan Struktural (MPS). Metode yang digunakan adalah metode observasi dengan teknik penentuan pohon contoh secara sistematis sebanyak 40 tanaman kopi Arabika varietas Kartika 1 dan Kartika 2. Hasil penelitian menunjukkan bahwa jumlah buah pada populasi kopi Arabika varietas Kartika 1 dan 2 di KP Pakuwon dipengaruhi secara langsung oleh karakter generatif dan secara tidak langsung oleh karakter vegetatif. Pada fase vegetatif, karakter tinggi tanaman dan diameter batang dapat digunakan sebagai kriteria seleksi positif untuk produksi tinggi, sedangkan karakter lebar tajuk dapat digunakan sebagai kriteria seleksi negatif. Pada fase generatif, karakter jumlah cabang produktif serta jumlah klaster buah dan bunga dapat digunakan sebagai kriteria seleksi positif. Kata kunci: Kopi arabika, seleksi, vegetatif, generatif, hasil, analisis lintasan bertahap, model persamaan struktural