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"Soybean breeding program in Indonesia has been actively involved in improving the genetic yield potential to meet the needs of farmers in different parts of the country. The study aimed to determine the presence of soybean production mega-environments and to evaluate the yield performance and stability of 12 soybean genotypes. Soybean yield performances were evaluated in eight production centers in Indonesia during 2013 growing season. The experiment in each location was arranged in a randomized complete block design with four replications. Parameters observed included grain yield and yield components. The yield data were analyzed using GGE biplot and the yield components data were analyzed using analysis of variance. The results showed that the yield performances of soybean genotypes were highly influenced by genotype-environment interaction (GEI) effects. The yield components were significantly affected by GEI except per plant branch number. The partitioning of the G + GE sum of squares showed that PC1 and PC2 were significant components which accounted for 57.41% and 18.55% of G + GE sum of squares, respectively. Based on the GGE visual assessment, agro-ecology for soybean production in Indonesia was divided into at least three mega-environments. Genotypes 8 and 2 were the best yielding genotypes in the most discriminating environment, but adapted to specific environment, thus highly recommended for that specific location. Genotypes 9 and 10 were stable and had relatively high yield performances across environments. Those genotypes would be recommended to be proposed as new soybean varieties."

"[ABSTRAKKacang kedelai merupakan komoditas pangan yang utama di Indonesiasetelah padi dan jagung. Tren penurunan produksi kedelai dari tahun 1997-2006merupakan persoalan sekaligus ancaman terhadap ketahanan pangan nasional.Penelitian ini bertujuan untuk mengetahui sebaran spasial lahan pertanian tanamankedelai di Kabupaten Grobogan, karakteristik wilayah lahan pertanian tanamankedelai, serta pola hubungan spasial antara lahan pertanian tanaman kedelai dankarakteristik wilayahnya. Analisis pola persebaran spasial dilakukan denganmenggunakan metode Rerata Tetangga Terdekat atau ANN (Average NearestNeighboard) dan pembuatan model spasial menggunakan metode AnalisisPemetaan Komposit (Composite Mapping Analysis/CMA). Dalam penelitian iniditunjukkan pola persebaran spasial lahan pertanian tanaman kedelai diKabupaten Grobogan yang cenderung mengelompok (clustered). Pola tersebutdipengaruhi oleh faktor penggunaan lahan, iklim, topografi, geologi,geomorfologi, jenis tanah, dan jarak (dari pusat kota, permukiman, dan jalan). DiKabupaten Grobogan, sebaran spasial lahan tanaman kedelai hanya dijumpai padalahan pertanian ?kelas dua?, yaitu sawah tadah hujan dan tegalan serta hanyadibudidayakan sekali dalam setahun, yaitu selama musim hujan. Persebaran lahanpertanian tanaman kedelai berada pada karakteristik wilayah yang kurangmendukung bagi pertumbuhannya secara optimal.

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ABSTRACTSoybeans are the main food commodities in Indonesia after rice and maize.The downward trend of the 1997-2006 soybean production is an issue as well as athreat to national food security. This study aims to determine the spatialdistribution of soybean farms in Grobogan, regional characteristics soybean cropfarms, as well as the pattern of spatial relationship between soybean crop farmsand characteristics of territory. Analysis of the spatial distribution patterns werecalculated using ANN (Average Nearest Neighboard) and spatial modeling usingComposite Mapping Analysis. In the present study demonstrated the spatialdistribution patterns of soybean crop farms in Grobogan which tend to clustered.The pattern is influenced by land use, climate, topography, geology,geomorphology, soil type, and distances (from the center of town, settlements,and roads). In Grobogan, the spatial distribution of soybean crops on agriculturalland is found only "second class", ie rainfed and upland and cultivated only once ayear, that is during the rainy season. Distribution of soybean crop farms located inareas unfavorable characteristics for optimal growth., Soybeans are the main food commodities in Indonesia after rice and maize.The downward trend of the 1997-2006 soybean production is an issue as well as athreat to national food security. This study aims to determine the spatialdistribution of soybean farms in Grobogan, regional characteristics soybean cropfarms, as well as the pattern of spatial relationship between soybean crop farmsand characteristics of territory. Analysis of the spatial distribution patterns werecalculated using ANN (Average Nearest Neighboard) and spatial modeling usingComposite Mapping Analysis. In the present study demonstrated the spatialdistribution patterns of soybean crop farms in Grobogan which tend to clustered.The pattern is influenced by land use, climate, topography, geology,geomorphology, soil type, and distances (from the center of town, settlements,and roads). In Grobogan, the spatial distribution of soybean crops on agriculturalland is found only "second class", ie rainfed and upland and cultivated only once ayear, that is during the rainy season. Distribution of soybean crop farms located inareas unfavorable characteristics for optimal growth.]"