Lihat Juga

• Leveraging the 3000 Rice Genome Data for Computational Design of Polymorphic Markers in a Local Rice Variety Lacking Sequence Data
  oleh: Satyawan, Dani; Indonesian Center for Agricultural Biotechnology and Genetic Resources Research and Development (ICABIOGRAD-IAARD), Bogor,16111, Indonesia, et al.
  Terbitan: (2021)
• THE USE OF ADVANCED GENOMIC PLATFORMS TO ACCELERATE BREEDING PROGRAMS OF THE INDONESIAN AGENCY FOR AGRICULTURAL RESEARCH AND DEVELOPMENT (A Review)
  oleh: Tasma, I Made; Indonesian Center for Agricultural Biotechnology and Genetic Resources Research andDevelopment (ICABIOGRAD)
  Terbitan: (2016)
• Phalaenopsis is one of the most interesting genera of orchids due to the members are often used as parents to produce hybrids. The establishment and development of highly reliable and discriminatory methods for identifying species and cultivars has become increasingly more important to plant breeders and members of the nursery industry. The aim of this research was to develop sequence-based microsatellite (eSSR) markers for the Phalaenopsis orchid designed from the sequence of GenBank NCBI. Seventeen primers were designed and thirteen primers pairs could amplify the DNA giving the expected PCR product with polymorphism. A total of 51 alleles, with an average of 3 alleles per locus and polymorphism information content (PIC) values at 0.674, were detected at the 16 SSR loci. Therefore, these markers could be used for identification of the Phalaenopsis orchid used in this study. Genetic similarity and principle coordinate analysis identified five major groups of Phalaenopsis sp. the first group consisted of P. amabilis, P. fuscata, P. javanica, and P. zebrine. The second group consisted of P. amabilis, P. amboinensis, P. bellina, P. floresens, and P. mannii. The third group consisted of P. bellina, P. cornucervi, P. cornucervi, P. violaceae sumatra, P. modesta. The forth group consisted of P. cornucervi and P. lueddemanniana, and the fifth group was P. amboinensis
  oleh: FATIMAH, .; Indonesian Center for Agricultural Biotechnology and Genetic Resources Research and Development (ICABIOGRAD), et al.
  Terbitan: (2011)
• Identification of A Major Quantitative Trait Locus for Grain Weight In Rice Using Microsatellite Marker
  oleh: Mariana Susilowati, et al.
  Terbitan: (2017)
• Identification of Quantitative Trait Loci (QTL) for Awn, Incomplete Panicle Exertion and Total Spikelet Number in an F2 Population Derived from A Backcross Inbred Line, Bio-148, and the Recurrent Parent, IR64
  oleh: Lina Herlina; Plant Breeding and Biotechnology, Institut Pertanian Bogor, Bogor 16680, Indonesia, et al.
  Terbitan: (2016)