Interpretasi Analisis AMMI Dengan BIPLOT (Kasus Analisis Interaksi Genotip Tanaman Padi dengan Lingkungan pada Percobaan Lokasi Ganda)  

Oleh:

Wahyuningrum, Endang

Jenis: Article from Journal - ilmiah nasional
Dalam koleksi: Jurnal Matematika, Sains, dan Teknologi vol. 4 no. 2 (Sep. 2003)
Topik: AMMI; Biplot; Komponen Utama Interaksi; Interaksi; Genotip; Lingkungan; Lokasi Ganda; Anova
Fulltext: Endang Wahyuningrum.pdf (211.58KB)

Isi artikel

Multilocation trials play an important role in agronomic research. These are often used to analyse the adaptability of genotypes in different environments. Multilocation trials also are used to find out which environment is the best location to adapt for each genotype that is the highest yielding in the environment and to determine the pattern of response of genotypes across environments. ANOVA is used to compute genotype and environment additive effects. However, it cannot be used to analyse a genotype-environmental interaction. Principle component analysis (PCA) is only used to analyse non additive interaction effects. The statistical analysis recommended here combines the Anova with PCA that is Additive Main effects and Multiplicative Interaction (AMMI) with PCA. It begins with the usual analysis of variance to compute genotype and environment additive effects, and then applies PCA to analyse non additive interaction effects. The results of AMMI analysis is presented graphically in the form of biplots. The use of these procedure is exemplified using secondary data set of the mean yield of padi from The Center of Indonesian Padi Research in Sukamandi.

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