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All Journal AGRIVITA, Journal of Agricultural Science JURNAL BIOLOGI INDONESIA
Andari Risliawati, Andari
Balai Besar Penelitian dan Pengembangan Bioteknologi dan Sumberdaya Genetik Pertanian, Jl. Tentara Pelajar No. 3A, Bogor 16111 Telp. (0251) 8337975
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology

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Pengembangan Identitas Spesifik Berbasis Marka SSR pada 29 Varietas Kedelai Lokal Indonesia Lestari, Puji; Risliawati, Andari; Utami, Dwinita Wikan; Hidayatun, Nurul; Santoso, Tri Joko; Chaerani, Chaerani
JURNAL BIOLOGI INDONESIA Vol 12, No 2 (2016): JURNAL BIOLOGI INDONESIA
Publisher : Perhimpunan Biologi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (765.015 KB) | DOI: 10.14203/jbi.v12i2.2888

Abstract

ABSTRACTSoybean is an important legume crop in Indonesia and local varieties from different regions are diversed. Accurate identification of local varieties is needed to determine the genetic identity in order to protect them to indicate the geographical origin and registration purpose. This study aimed to analyze DNA fingerprints of local varieties of soybean in Indonesia to develop a specific identity using SSR markers along with the marker set. A total of 29 local varieties/accessions was analyzed using 9 selected SSR markers with semi automated genetic analyzer on the basis of capillary electrophoresis. Total markers successfully detected 50 alleles in all varieties, with the average polymorphism information content (PIC) of each locus (0.579) and the genetic diversity index (0.629) were quite high as a reflection of diversity of the local varieties. Based on the analysis of the genetic diversity index, PIC, rare alleles, dominant allele frequency, analysis of genetic distance, 6 SSRs (Satt009, Satt038, Satt177, Satt242, Satt308 and Satt114) were selected as a set of markers for variety identification. Although three varieties can not be distinguished because of their close genetic relationship, but the digital coding indicates that local varieties of soybeans have possessed specific identities (ID) representing variation of SSR alleles. The selected SSR loci with additional identifier can be used to develop ID of Indonesian local soybean in the germplasm collection. Overall, the marker set is a powerful tool to complement morphological markers for the protection of local soybean varieties that contribute in accelerating local varieties improvement in the future agriculture.Keywords: specific identity, SSR, Indonesian local soybean variety, DNA fingerprint.
PENGEMBANGAN IDENTITAS SPESIFIK BERBASIS MARKA SSR PADA 29 VARIETAS KEDELAI LOKAL INDONESIA Lestari, Puji; Risliawati, Andari; Utami, Dwinita Wikan; Hidayatun, Nurul; Santoso, Tri Joko; Chaerani, Chaerani
JURNAL BIOLOGI INDONESIA Vol 12, No 2 (2016): JURNAL BIOLOGI INDONESIA
Publisher : Perhimpunan Biologi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jbi.v12i2.2888

Abstract

ABSTRACTSoybean is an important legume crop in Indonesia and local varieties from different regions are diversed. Accurate identification of local varieties is needed to determine the genetic identity in order to protect them to indicate the geographical origin and registration purpose. This study aimed to analyze DNA fingerprints of local varieties of soybean in Indonesia to develop a specific identity using SSR markers along with the marker set. A total of 29 local varieties/accessions was analyzed using 9 selected SSR markers with semi automated genetic analyzer on the basis of capillary electrophoresis. Total markers successfully detected 50 alleles in all varieties, with the average polymorphism information content (PIC) of each locus (0.579) and the genetic diversity index (0.629) were quite high as a reflection of diversity of the local varieties. Based on the analysis of the genetic diversity index, PIC, rare alleles, dominant allele frequency, analysis of genetic distance, 6 SSRs (Satt009, Satt038, Satt177, Satt242, Satt308 and Satt114) were selected as a set of markers for variety identification. Although three varieties can not be distinguished because of their close genetic relationship, but the digital coding indicates that local varieties of soybeans have possessed specific identities (ID) representing variation of SSR alleles. The selected SSR loci with additional identifier can be used to develop ID of Indonesian local soybean in the germplasm collection. Overall, the marker set is a powerful tool to complement morphological markers for the protection of local soybean varieties that contribute in accelerating local varieties improvement in the future agriculture.Keywords: specific identity, SSR, Indonesian local soybean variety, DNA fingerprint.
Agronomic Traits Adaptation of Subtropical Soybean from East Asia in Indonesia Risliawati, Andari; Lestari, Puji; Terryana, Rerenstradika Tizar
AGRIVITA Journal of Agricultural Science Vol 48, No 2 (2026): IN PRESS
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v41i0.4970

Abstract

Soybean, a protein-source vegetable legume, is one of the major commodities in Indonesia, leading to intensive breeding activity. Around 120 soybean varieties have been released, with an average yield of 1.5–2 tons per hectare and an average in-country production of around 300 thousand tons per year. Introducing subtropical soybeans is an approach to enrich the genetic variance of local soybeans to increase the yields. A total of 112 subtropical soybeans from East Asia were planted in the lowland tropic region, and their agronomic traits adaptation was observed. The area was selected to assess the photoperiod sensitivity of soybean species, which originated from subtropical regions. All genotypes flowered and were able to produce mature pods. Principal Component Analysis (PCA) was used as a prior analysis to gain a better understanding of the dimensionality of datasets. Eight principal components (PC) were produced, with 67.60% of data variation explained by the first three PCs. Biplot analysis identified 30 potential genotypes that exhibited better performance, which were grouped into 4 distinct clusters, and each cluster had its specific identity traits. This preliminary finding could be a basis for further research for reference when selecting genotypes as gene sources in soybean breeding programs.
Co-Authors A.A. Ketut Agung Cahyawan W Chaerani Chaerani DWINITA WIKAN UTAMI Nurul Hidayatun Nurwijayanti PUJI LESTARI Rerenstradika Tizar Terryana, Rerenstradika Tizar TRI JOKO SANTOSO