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Identifikasi Karakter yang Berpengaruh terhadap Hasil Biji Beras Kopi Arabika di Kabupaten Garut Menggunakan Analisis Lintasan Bertahap Randriani, Enny; Dani, Dani; Sulistiyorini, Indah; Wardiana, Edi
Jurnal Tanaman Industri dan Penyegar Vol 1, No 3 (2014): Jurnal Tanaman Industri dan Penyegar
Publisher : Pusat Penelitian dan Pengembangan Perkebunan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jtidp.v1n3.2014.p175-184

Abstract

Keterkaitan antara karakter vegetatif, komponen buah, komponen biji, dan hasil biji beras 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 bertujuan mengidentifikasi karakter-karakter yang berpengaruh terhadap hasil biji beras kopi Arabika di daerah Garut, Jawa Barat melalui penggunaan analisis lintasan bertahap (ALB) dan model persamaan struktural (MPS). Penelitian dilaksanakan di Desa Marga Mulya, Kecamatan Cikajang, Kabupaten Garut, Jawa Barat, bulan Januari sampai Desember 2013 pada ketinggian tempat 1.300 m di atas permukaan laut dengan jenis tanah Andosol. Penelitian menggunakan metode survei dengan pengambilan contoh secara acak terhadap lima genotipe kopi Arabika, yaitu ABP-1, ABP-2, ABP-3, AGK-1, dan S 795. Hasil penelitian menunjukkan terdapat tiga karakter yang berpengaruh positif secara langsung, yaitu jumlah ruas pada batang, tebal buah, dan bobot 100 biji gabah. Karakter panjang cabang primer berpengaruh positif secara tidak langsung, sedangkan karakter jumlah cabang sekunder dan jumlah ruas cabang primer berpengaruh negatif secara tidak langsung. Karakter-karakter tersebut dapat digunakan sebagai kriteria seleksi pada populasi kopi Arabika di daerah Garut, Jawa Barat.Kata kunci: Kopi Arabika, seleksi karakter, analisis lintasan bertahap, model persamaan strukturalThe linkage between the vegetative characters, fruit components, production seeds component and rice seeds of the coffee plant is important in breeding and selection programs. Models of interrelations between these characters are causal models and can be analyzed through sequential path analysis (SPA). The objective of this study was to identify of several characters affecting on green bean yield of Arabica coffee in Garut, West Java by using sequential path analysis (SPA) and structural equation modeling (SEM). This research was conducted in the Marga Mulya Village, Cikajang District, Garut Regency, West Java, with altitude about 1300 m above sea level and Andosol type of soil, starting from January to December 2013. The research was conducted in survey method with random sampling method on the Arabica coffee genotypes such as ABP-1, ABP-2, ABP-3, AGK-1, and S795. The results showed that there are three characters having directly positive effect on green bean yield: number of internodes on stem, fruits thickness, and weight of 100 beans. On the other hand, length of primary branches has indirectly positive influence, while number of secondary branches and number of internodes on primary branches has indirectly negative influence. These characters can be used as selection criteria on the population of Arabica coffee in Garut, West Java. 
Evaluasi Keseragaman Klonal Enam Klon Kakao Unggul Berdasarkan Marka SSR Sulistiyorini, Indah; Rubiyo, Rubiyo; Sudarsono, Sudarsono
Jurnal Tanaman Industri dan Penyegar Vol 5, No 3 (2018): Jurnal Tanaman Industri dan Penyegar
Publisher : Pusat Penelitian dan Pengembangan Perkebunan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jtidp.v5n3.2018.p135-144

Abstract

Propagation of cacao plants is generally carried out vegetatively. Therefore, plants that are clonally propagated should be genetically uniform. Genetic uniformity in cacao clones is also very important information for germplasm conservation and in obtaining pure parental crosses. Evaluation of genetic uniformity can be seen through analysis using SSR markers. This study aimed to determine the genetic uniformity in six cacao clones using SSR markers. This experiment was conducted at IIBCRI Integrated Laboratory in Sukabumi and Plant Molecular Biology Laboratory, IPB Bogor, from September 2015 to December 2016.  Six cacao clones used (TSH 858, TSH 908, ICS 13, PA 300, GC 7 and UIT) are from Kalitelepak experimental station of  PTPN XII, Genteng District, Banyuwangi, East Java.  Ten samples were taken randomly to represent cacao clones. DNA amplification was carried out using 12 SSR markers. The result showed that 12 SSR markers generated 45 alleles with the number of alleles per locus was 3-4 alleles. The polymorphic information content (PIC) ranges from 0.37–0.67, which are identied as very informative molecular analysis in identifying the genetical uniformity of the evaluated cacao population. Six SSR loci generated variant alleles within both the TSH 858 and UIT clones, indicating there are off-type plants in these two samples. Clonal uniformity were detected for samples of the GC 7, ICS 13, PA 300 and TSH 908 clones. On the other hand, 8.33% of evaluated samples within the TSH 858 and UIT clones were off-type plants.