Warta Informatika Pertanian : Volume 13, Desember 2004

  • Karakter Nilai Tengah Dan Ragam Contoh Jagung Galur Cml Terhadap Tetua Bima-1
M Yasin HG, Syamsuddin Mas, dan Idar, Peneliti Balit Sereal Maros, Fakultas Pertanian dan Kehutanan UNHAS Makassar, Ext. Program


The inbred lines of MR4 and MR14 are parents of Bima-1 which is programmed to high acting protein hybrid. The parents of  both were to crossed CML161 and CML165 as female which contains gen o-2 acting to increase protein content maize. The two inbred lines was assume as heterotic pattern with MR4 and MR14. The objectives of the experiment was to identify characters of means(μ), varians(σ2), confidence limit on p(x-1,96.Se<μ<x+1,96.Se) and p[(n – 1)S2/χ2u< σ2 <(n-1) S2/ χ2l)]  in level of confident  95%. Hypothesis of μ by interested using t-student distribution and σ2 using χ2 (Chi-square) in d.f (n1+n2-2). The experiment conducted in Maros experimental field on dry season 2003. Crossing of plant was normally performed. The  experiment scale was 13-15 acre, spacing 75x30 cm one plant per hill, fertilizer used Urea, SP36, KCl (300-200-100) kg/ha. The sample of plant was from plant which is synchronize on  flowering, and health. The result showed that crossing of CML161 line was high value of mean of seed weight per cob than CML165. While range of various is smaller. Varians test which is significant is only in Mr4 for the diameter of cob.

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  • Pemanfaatan Mstat-C Dalam Analisa Faktorial Data Hasil Penelitian Pertanian
Sutarno, Pranata Komputer pada Balai Penelitian Tanaman Kacang-kacangan dan Umbi-umbian PO. Box 66 Malang 65101

The factorial treatment in randomized complete block design is usually used by researchers in agronomy, breeding, postharvest, pest and disease programmes. The handling of data can be started with data tabulation that compatible with the format of programme. Therefore the data entry would be easier. The manual data entry via keyboard in to data variable previously prepared could ease the data processing. If there were missing data or zero number in the variable, the data transformation could be employed. The Mstat-C program was used to analyze the data.  

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  • Aplikasi Analisis Regresi Non Linear Model Kuadratik Terhadap Produksi Susu Kambing Peranakan Etawah (Pe) Selama  90 Hari Pertama Laktasi
M.E. Yusnandar Balai Penelitian Ternak, Ciawi

The regression model is one of statistical test that has two types of analysis, which is linear and non linear models. The non linear model of statistic will result in  a decreasing (b2<0)  or increasing (b2>0) curve. The quadratic model analysis which was applied to the milk production of etawah grade goat of 90 days, showed a equation of Ŷ = 1.0369 – 0.0073X – 0.0025X2, where X was day of periode of lactation. The result showed that the milk production up to 20 days reached maximum level (>0.90 liter/doe), followed by significantly (P<0.05) decreased production. It was concluded that the quadratic model could be applied for quantifying the milk production of etawah grade goat. 

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  • Aplikasi Teknologi Penginderaan Jauh Dan Uji Validasinya Untuk Deteksi Penyebaran Lahan Sawah Dan Penggunaan/Penutupan Lahan (Application of Remote Sensing Technology and Its Accuracy Assessment on Detecting the Spatial Distribution of Wetland Rice and Land use/cover)
M.Wahyunto, Sri Retno Murdiyati dan Sofyan Ritung Soil Research Institute, CSARD of IAARD

Satellite remote sensing data provide up to date valuable information on landuse/cover existing condition. Developing standardized and methodology with sufficient accuracy, for assessment the spatial distribution of agricultural land is prime needed. Landsat Thematic Mapper were used to detect and assess the spatial distribution of wetland rice and land use/ cover in Lampung Province as a case study by applying digital analysis Hybrid (supervised) classification approach. To validate or the accuracy detection is to used a statistically approach sampling design (which are consist of point sampling accuracy and area sampling accuracy) in the selected sample blocks and sample segments. Area sampling accuracy mainly stressed to assess the accuracy wetland rice spatial distribution. To determine the correctness of land use/ cover types is assigned to that pixel matches the true classification of ground segment observation represented by pixel value of digital satellite images. The result of land use/ cover analysis and classification were compared with the ground data observation contain accuracy detection ranging from 76,7 % (bushes) and 100% (forest). Wetland rice accuracy detection have  about 84,5% accuracy. Wetland rice spatial distribution analysis over the segments and sample blocks, were compared with the ground data assessment and observations have only less than 6% and 21,7% deviation in flat areas and sloping areas respectively. Increasing on slope steepness, and the variety plant growth/ vegetation will be followed by increasing deviation. High accuracy detected existing agricultural land use, very helpful for strengthening food security and site selection potential areas for agricultural commodities extensification.

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