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INDONESIA
Jurnal Penelitian Pertanian Tanaman Pangan
Published by Pusat Penelitian dan Pengembangan Tanaman Pangan
ISSN : 25415166     EISSN : 25415174     DOI : 10.21082
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
Jurnal Penelitian Pertanian Tanaman Pangan merupakan publikasi yang memuat makalah ilmiah primer hasil penelitian tanaman pangan (padi dan palawija). Redaksi menerima makalah dari peneliti Puslitbang Tanaman Pangan, Balai Pengkajian Teknologi Pertanian (BPTP), maupun perguruan tinggi. Makalah yang dikirimkan hendaknya sudah mendapat persetujuan dari pimpinan instansi masing-masing. Ketentuan penulisan makalah untuk dapat dimuat di jurnal ini tertera dalam "Author Guidelines/Petunjuk bagi Penulis" di halaman terakhir Jurnal Penelitian Pertanian.
Arjuna Subject : -
Articles 2 Documents
 1 
Search results for , issue " Vol 34, No 2 (2015): Agustus 2015" : 2 Documents clear
Karakterisasi Sifat Morfologi dan Ketahanan terhadap Penyakit Hawar Daun Bakteri pada Beberapa Varietas Padi Yuliani, Dini; Wening, Rina Hapsari; Sudir, Sudir
Jurnal Penelitian Pertanian Tanaman Pangan Vol 34, No 2 (2015): Agustus 2015
Publisher : Pusat Penelitian dan Pengembangan Tanaman Pangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (129.097 KB) | DOI: 10.21082/jpptp.v34n2.2015.p121-130

Abstract

Bacterial leaf blight, caused by Xanthomonas oryzae pv oryzae (Xoo) is common disease on rice crop in Indonesia. Resistance variety when available, would be a good control measure to the disease, which could be easily adopted by farmers. Source of gene for resistance needs to be identified among rice genotypes, to be used as parents in the breeding program. This research was aimed to characterize the morphological traits and the degree of resistance among rice genotypes against Xoo pathotype III, IV, and VIII. The experiment was conducted at Sukamandi experimental field of Indonesian Center for Rice Research, during the wet season of 2012/2013 and dry season of 2013, using a randomized factorial design. The first factor was three Xoo pathotypes i.e. pathotype III, IV, and VIII, the second factor was 20 rice genotypes including three check varieties, i.e. Ciherang, Inpari 13, and Angke. Observations of morphological and agronomic characters were done on rice plants started from primordial to grain ripening phase. Observations on BLB disease severity were done by measuring the longest symptoms on the leaves at two, three, and four weeks after inoculation. The morphological characters of the isogenic lines showed moderate leaf surface type with an open habitus (60o). Plant height ranged from 99 to 190 cm, maturity between 109 to 157 days after sowing, and the number of tillers was 9-23 tillers/hill. Against the Xoo pathotype III, IV, and VIII, three genotypes of near isogenic lines i.e. IRBB 60, IRBB 61, and IRBB 55 each was resistance, not significantly different from resistance check variety Angke, in two cropping seasons. All three isogenic lines can be used as parent to develop new resistant variety to bacterial leaf blight.
Identifikasi Varietas Padi Menggunakan Pengolahan Citra Digital dan Analisis Diskriminan adnan, adnan; Widiastuti, Mira Landep; Wahyuni, Sri
Jurnal Penelitian Pertanian Tanaman Pangan Vol 34, No 2 (2015): Agustus 2015
Publisher : Pusat Penelitian dan Pengembangan Tanaman Pangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (237.329 KB) | DOI: 10.21082/jpptp.v34n2.2015.p89-96

Abstract

Identification of the authenticity of variety is important in order to ensure the purly of rice variety. Variety identification based on visual traits is a common technique, but it is difficult to be applied when ones encounter almost similar varieties. An alternative technique is using the image processing analysis combined with the discriminant analysis. The research objectives were: (1) to develop the geometrical, shape and textural description of rice varieties (Ciherang, Inpari 10 and Inpari 13) generated based on the image process properties, (2) to determine selective geometry, shape and texture variables, and (3) to identify rice variety using discriminant analysis. Digital image of rice grains was captured by a scanner, then was quantified by image process application in order to generate geometry, shape and texture data. Discriminant model was built using 5 of 17 input variables that have strong discriminant power. Discriminant model represented85.9% of the data variability. The model accuracy based on the cross validation method for Ciherang, Inpari 10 dan Inpari 13 varieties was 53.6%, 52.8% dan 76.0%, respectively. Image process technology and discriminant analysis has a potential as a technique for identifying rice variety based on the seed physical criteria. Further works need to be done in order to increase the accuracy of the model.

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