Jurnal Pertanian http://repository.ipb.ac.id/handle/123456789/52119 2026-04-16T04:47:00Z 2026-04-16T04:47:00Z seno, Djarot Sasongko Hami Hasan, Akhmad Endang Zainal Santoso, Tri Joko Kusbiantoro, Bram Mas'ud, Zainal Alim http://repository.ipb.ac.id/handle/123456789/76065 2015-09-02T00:01:58Z 2011-01-01T00:00:00Z

Identifikasi Gen Aroma Pada Progeni-Progeni Backcross Antara Varietas Ciherang Dengan Pandan Wangi seno, Djarot Sasongko Hami; Hasan, Akhmad Endang Zainal; Santoso, Tri Joko; Kusbiantoro, Bram; Mas'ud, Zainal Alim PCR berbantuan marka spesifik merupakan metpda deteksi aroma padi yang pada saat ini dianggap paling potensial. RM223 merupakan satu-satunya marka yanp dapat mengidentifikasi badh2termutasi varietas Pandan Wangi. Penelitian ini mengaplikasikan PCR berbantuan marka RM223 pada introgresi g~m aroma (badh2 termutasi) varietas Pandan Wangi, dalam rangka merekayasa varietas nontransgenik beraroma Pandan Wangi dengan karakter agronomi sebaik padi Ciherang. Intrpduksi dilakukan secara persilangan terarah (site-directed crossing), dimana Pandan Wangi disilang dan dibackcross dengan Ciherang hingga diperoteh BCSFl heterozygot yang kemudian diselfing untuk mendapatkan BCSF~ homozygot (Ciherang aromatik). Pada setiap generasi persilangan/ backcross dilakukan seleksi PCR t.erbantuan marka RM223. Didapatkan RM223 dapat mendeteksi badh2 utuh pada Ciherang, termutasi pada Pandan Wangi serta heterozygot pada progeni persilangan hingga BC3Fl. Oleh karena itu dapat teramati introgresi gen •adh2 termutasi pada progeni hasil persilangan/ backcross, dan status gen (native/termutasi) serta alel (homo1Ygot/ heterozygot) badh2. __ Backcross dan selfing untuk mendapatkan BCSF2 sedang dalam proses.

2011-01-01T00:00:00Z Herdiyeni, Yeni Adisantoso, Julio Damayanti, Ellyn K Zuhud, Ervizal AM http://repository.ipb.ac.id/handle/123456789/75946 2015-08-28T21:20:38Z 2013-01-01T00:00:00Z

Pemanfaatan Teknologi .Tepat Guna ldentifikasi Tumbuhan Obat Berbasis Citra Herdiyeni, Yeni; Adisantoso, Julio; Damayanti, Ellyn K; Zuhud, Ervizal AM Indonesia Is a mega biodiversity country Including many kind medicinal plants. It Is not easy to Identify the various kinds of the medicinal plants especially for common people. Therefore, we need a computer-based automatic system as a tool to identify these various types of the medicinal plants. Develop! ng of computer-based automatic system for medicinal plant Identification has been done based on leaf image. There are 30 species of medicinal plants used in this study. There are 3 features for identification, I.e. morphology, texture, and shape. To improve the accuracy of identification we applied probabilistic neural network to classify the species of medicinal plant. The experiment results showed that the accuracy of identification Increase to 74.6791 •. Developing of search engine has been done as well. We used 32 species of medicinal plant. The number of document was 132 documents. The document consists of name, family, description, diseases, and chemical substances. To improve the accuracy of searching, we applied KNN Fuzzy to classify document Into 2 categories, i.e., family and diseases. The experiment results showed that the accuracy of average of precision Is 9691. for only word of length query and s9•;. for two words of length query. The system ls very beneficial for people In society because It can be used to identify medicinal plants easily and the relevant communltis become independent In maintaining family health and giving opportunities as well as income of the people. Hence, the system Is promising for leaf Identification and supporting plant biodiversity In Indonesia.

2013-01-01T00:00:00Z Matangaran, Juang Rata Wibowo, Cahyo Suwarna, Ujang http://repository.ipb.ac.id/handle/123456789/65652 2013-10-08T03:11:58Z 2010-01-01T00:00:00Z

Pertumbuhan semai sengon dan mangium pada tanah padat Matangaran, Juang Rata; Wibowo, Cahyo; Suwarna, Ujang

2010-01-01T00:00:00Z Santosa, Yanto Paturohman, Gugum Gumilar http://repository.ipb.ac.id/handle/123456789/60734 2015-09-03T00:25:07Z 2009-01-01T00:00:00Z

Pendugaan model pertumbuhan dan bentuk sebaran spasial populasi banteng (Bos sondaicus d'Alton) di Taman Nasional Alas Purwo Jawa Timur Santosa, Yanto; Paturohman, Gugum Gumilar Population of bulls in the world is decreasing to 80%. On Java and Bali, the habitat of the species has declined by about 20% and 30% respectively (IUCN 2003). In Java, especially in Alas Purwo National Park, the decreasing population of bulls is caused by hunting and degradation of habitat. The estimation of growth bulls population in APN is increase. The size of population in the beginning is 588 individuals the rate of growth is 0.093 and carrying capacity of habitat is 4772 individuals. The population will reach the carrying capacity by the year of 2126. The pattern of spatial distribution of bulls in APNP based on analysis of chi-square test is grouped ƛ[2] hit > ƛ[2]20.025. The pattern of distribution in low-land forest and plataion forest is randomized ƛ[2]0.975 ≤ ƛ[2]hit ≤ ƛ[2]0.025, meanwhile it is grouped in coastal forest ecosystem. The pattern of distribution in each type of ecosystem is influenced by the factor of resources (feedings, water, and salty water) and predation factor.

2009-01-01T00:00:00Z