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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."

"Kacang kedelai merupakan komoditas pangan yang utama di Indonesia setelah padi dan jagung. Tren penurunan produksi kedelai dari tahun 1997-2006 merupakan persoalan sekaligus ancaman terhadap ketahanan pangan nasional. Penelitian ini bertujuan untuk mengetahui sebaran spasial lahan pertanian tanaman kedelai di Kabupaten Grobogan, karakteristik wilayah lahan pertanian tanaman kedelai, serta pola hubungan spasial antara lahan pertanian tanaman kedelai dan karakteristik wilayahnya. Analisis pola persebaran spasial dilakukan dengan menggunakan metode Rerata Tetangga Terdekat atau ANN (Average Nearest Neighboard) dan pembuatan model spasial menggunakan metode Analisis Pemetaan Komposit (Composite Mapping Analysis/CMA). Dalam penelitian ini ditunjukkan pola persebaran spasial lahan pertanian tanaman kedelai di Kabupaten Grobogan yang cenderung mengelompok (clustered). Pola tersebut dipengaruhi oleh faktor penggunaan lahan, iklim, topografi, geologi, geomorfologi, jenis tanah, dan jarak (dari pusat kota, permukiman, dan jalan). Di Kabupaten Grobogan, sebaran spasial lahan tanaman kedelai hanya dijumpai pada lahan pertanian ?kelas dua?, yaitu sawah tadah hujan dan tegalan serta hanya dibudidayakan sekali dalam setahun, yaitu selama musim hujan. Persebaran lahan pertanian tanaman kedelai berada pada karakteristik wilayah yang kurang mendukung bagi pertumbuhannya secara optimal.

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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 a threat to national food security. This study aims to determine the spatial distribution of soybean farms in Grobogan, regional characteristics soybean crop farms, as well as the pattern of spatial relationship between soybean crop farms and characteristics of territory. Analysis of the spatial distribution patterns were calculated using ANN (Average Nearest Neighboard) and spatial modeling using Composite Mapping Analysis.

In the present study demonstrated the spatial distribution 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 agricultural land is found only "second class", ie rainfed and upland and cultivated only once a year, that is during the rainy season. Distribution of soybean crop farms located in areas unfavorable characteristics for optimal growth."