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"[Target swasembada jagung di tahun 2016 perlu untuk dikaji ulang ketercapaiannya, karena target tersebut diiringi dengan beberapa kebijakan lainnya, seperti : penahanan stok di pelabuhan, pencabutan lisensi impor jagung oleh swasta, pemusatan manajemen stok jagung kepada Bulog. Apabila kebijakan-kebijakan tersebut tetap diimplementasikan di tengah kondisi pasar domestik yang kekurangan suplai, maka target swasembada jagung tahun 2016 akan menjadi malapetaka bagi para produsen pakan ternak yang memerlukan suplai jagung secara teratur. Studi ini ditujukan untuk meramal pencapaian target swasembada jagung di tahun 2016 dengan cara meramal produksi dan konsumsi pada tahun 2016 menggunakan beberapa alternatif metode : OLS, ARIMA, Time Trend Variable dan Recursive Model. Hasilnya, Indonesia akan mencapai swasembada jagung pada tahun 2016 dengan surplus sebesar 189.918 ton jagung pipilan kering dengan kadar air 25%. Namun mengingat kebutuhan industri pakan yang merupakan jagung pipilan kering dengan kadar air 15%, maka volume produksi yang menyusut akan membuat perhitungan di tahun 2016 malah menjadi defisit sebesar 2,51 juta ton. Apabila Indonesia ingin menutup defisit tersebut, diperlukan lahan jagung sebesar 4,3 juta hektar atau produktifitas lahan sebesar 63 kuintal per hektar.

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Corn self-sufficiency target in 2016 feasibility needs to be revisited because the program brings along several policies, such as : stock restricting at the ports, private’s import license abolishing and centering stock management to Bulog. Unless the domestic market being surplus, the policies implemented will cause a menace for livestock feed producers—for they need a regular corn supply. This study aims to forecast whether the target is going to be achieved by forecasting corn production and consumption in 2016 using several methods : OLS, ARIMA, Time Trend Variable and Recursive Model. The result shows that Indonesia is forecasted to achieve corn self-sufficiency by 2016; shown by a surplus of 189.918 tonne (with 25% moisture content). However, it is should be considered that feed-mill industry needs corn with 15% moisture content—and drying the corn shrinks its mass; leading to decrease of surplus and even change it into deficit of 2.51 million tonne. If Indonesia aims to self-suffice the deficit, then Indonesia needs 4.3 million hectares of corn land or land productivity of 6.3 tonne per hectare.

;Corn self-sufficiency target in 2016 feasibility needs to be revisited because the program brings along several policies, such as : stock restricting at the ports, private’s import license abolishing and centering stock management to Bulog. Unless the domestic market being surplus, the policies implemented will cause a menace for livestock feed producers—for they need a regular corn supply. This study aims to forecast whether the target is going to be achieved by forecasting corn production and consumption in 2016 using several methods : OLS, ARIMA, Time Trend Variable and Recursive Model. The result shows that Indonesia is forecasted to achieve corn self-sufficiency by 2016; shown by a surplus of 189.918 tonne (with 25% moisture content). However, it is should be considered that feed-mill industry needs corn with 15% moisture content—and drying the corn shrinks its mass; leading to decrease of surplus and even change it into deficit of 2.51 million tonne. If Indonesia aims to self-suffice the deficit, then Indonesia needs 4.3 million hectares of corn land or land productivity of 6.3 tonne per hectare.

;Corn self-sufficiency target in 2016 feasibility needs to be revisited because the program brings along several policies, such as : stock restricting at the ports, private’s import license abolishing and centering stock management to Bulog. Unless the domestic market being surplus, the policies implemented will cause a menace for livestock feed producers—for they need a regular corn supply. This study aims to forecast whether the target is going to be achieved by forecasting corn production and consumption in 2016 using several methods : OLS, ARIMA, Time Trend Variable and Recursive Model. The result shows that Indonesia is forecasted to achieve corn self-sufficiency by 2016; shown by a surplus of 189.918 tonne (with 25% moisture content). However, it is should be considered that feed-mill industry needs corn with 15% moisture content—and drying the corn shrinks its mass; leading to decrease of surplus and even change it into deficit of 2.51 million tonne. If Indonesia aims to self-suffice the deficit, then Indonesia needs 4.3 million hectares of corn land or land productivity of 6.3 tonne per hectare.

;Corn self-sufficiency target in 2016 feasibility needs to be revisited because the program brings along several policies, such as : stock restricting at the ports, private’s import license abolishing and centering stock management to Bulog. Unless the domestic market being surplus, the policies implemented will cause a menace for livestock feed producers—for they need a regular corn supply. This study aims to forecast whether the target is going to be achieved by forecasting corn production and consumption in 2016 using several methods : OLS, ARIMA, Time Trend Variable and Recursive Model. The result shows that Indonesia is forecasted to achieve corn self-sufficiency by 2016; shown by a surplus of 189.918 tonne (with 25% moisture content). However, it is should be considered that feed-mill industry needs corn with 15% moisture content—and drying the corn shrinks its mass; leading to decrease of surplus and even change it into deficit of 2.51 million tonne. If Indonesia aims to self-suffice the deficit, then Indonesia needs 4.3 million hectares of corn land or land productivity of 6.3 tonne per hectare.

, Corn self-sufficiency target in 2016 feasibility needs to be revisited because the program brings along several policies, such as : stock restricting at the ports, private’s import license abolishing and centering stock management to Bulog. Unless the domestic market being surplus, the policies implemented will cause a menace for livestock feed producers—for they need a regular corn supply. This study aims to forecast whether the target is going to be achieved by forecasting corn production and consumption in 2016 using several methods : OLS, ARIMA, Time Trend Variable and Recursive Model. The result shows that Indonesia is forecasted to achieve corn self-sufficiency by 2016; shown by a surplus of 189.918 tonne (with 25% moisture content). However, it is should be considered that feed-mill industry needs corn with 15% moisture content—and drying the corn shrinks its mass; leading to decrease of surplus and even change it into deficit of 2.51 million tonne. If Indonesia aims to self-suffice the deficit, then Indonesia needs 4.3 million hectares of corn land or land productivity of 6.3 tonne per hectare.

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"Microsatellite Marker-based Genetic Characterization of Indonesian Maize Inbred Collections. Marcia B. Pabendon, M. Dahlan, Sutrisno, and M. L. C. George. Information on genetic relationships among available crop germplasm such as maize inbred lines, has important implications to breeding programs. A set of 26 maize inbreds togeher with six standard lines from CIMMYT (CML51, CML292, CML202, CML206, CML236, dan CML396), was characterized using 26 SSR markers, which were coverage of the maize genomes. The objective of this study was to analyze genetic diversities among the Indonesian maize inbred collections. Polymorphism Information Content (PIC) value and the observed genetic distance indicated the existence of large variabilities among the inbreds. Cluster analysis based on 27% of the Jaccard’s similarity coefficient placed the inbreds into three groups. Genetic distances among all the possible pairs without the standard maize lines varied from 0.32 (KSX360F2-5-1-3-1v vs KSX2601F2-5-1-1-v) to 0.88 (PT963298-1-B-B-Bv vs Mr13). Cluster and Principal Coordinate Analysis of the genetic distances, revealed a clear differentiation of the inbred lines into groups according to their source populations. This clustering were consistent with those of the known pedigree records of the inbreds based on their morphological characters. These results support the use of morphological traits in the production of maize hybrids. The SSR markers proved to be effective to characterize, identify, and demonstrate genetic similarities among the maize inbred lines."