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Nasrullah, nFn
Universitas Gadjah Mada
Agriculture, Biological Sciences & Forestry Computer Science & IT

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ANALISIS GGE BIPLOT PADA HASIL KLON-KLON UBI KAYU MENGGUNAKAN METODE RESTRICTED MAXIMUM LIKELIHOOD Noerwijati, Kartika; Nasrullah, nFn; Taryono, nFn; Prajitno, Djoko
Informatika Pertanian Vol 25, No 1 (2016): JUNI 2016
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (725.469 KB) | DOI: 10.21082/ip.v25n1.2016.p89-98

Abstract

The study was conducted in five locations i.e Kediri, Ponorogo, Probolinggo, Malang, and Mojokerto, from November 2010 until August 2011. The planting materials used were 15 cassava clones. The research objective was to compare analysis methods of the genotype × environment interaction, namely: a) GGE technique using REML without A matrix by assuming homogeneous residual error variance, b) GGE technique using REML with A matrix by assuming homogeneous residual error variance, c) GGE technique using REML without A matrix by assuming heterogeneous residual error variance, and d) GGE technique using REML with A matrix by assuming heterogeneous residual error variance. The results showed that GGE technique using REML without A matrix by assuming heterogeneous residual error variance was more appropriate. Clones CMM 03038-7 (G8) had a wide adaptability and high yield potential, and its clone was closest to the ideal criteria for genotype compared with other genotypes. Clones CMM 03094-4 (G10) had specific adaptability in the environments S2 (Malang) and S5 (Mojokerto), and it had higher yield potential than the control varieties UJ5, Malang 6, and Adira 4. Environment Kediri (S1) had the highest yield among other environments and Kediri was a suitable environment for the growth and selection of cassava. 
ANALISIS STABILITAS HASIL GENOTIPE KEDELAI MENGGUNAKAN METODE ADDITIVE MAIN EFFECT AND MULTIPLICATIVE INTERACTION (AMMI) Krisnawati, Ayda; Basunanda, Panjisakti; Nasrullah, nFn; Adie, M Muchlish
Informatika Pertanian Vol 25, No 1 (2016): JUNI 2016
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (675.955 KB) | DOI: 10.21082/ip.v25n1.2016.p41-50

Abstract

An ideal soybean cultivar is the one that achieves the greatest yield consistently across many environments regardless of environmental conditions. The objective of this experiment was to determine the soybean seed yield stability by AMMI method. A total of ten soybean genotypes, which consisted of eight soybean promising lines (G100H/SHRW-60-38, SHRW-60/G100H-73, SHRW-60/G100H-68, SHRW-60/G100H-66, G100H/SHRW-34, SHRW-60/G100H-5, SHRW-60/G100H-70, and SHRW-60/G100H-75) and two soybean check varieties (Kaba and Wilis) was evaluated at six soybean production centers in Yogyakarta, Banyuwangi and West Nusa Tenggara during 2011. The field experimental design for each location was completely randomized design with four replicates. Each genotype was planted on 2.4 m x 4.5 m plot size, 40 cm x 15 cm plant distance, with 2 plants/hill. Stability analysis on seed yield was based on the AMMI method.The combined analysis showed that the genotype and GEI were highly significant for seed yield. The AMMI of the first significant interaction principal component (PC1) accounted for 66.07% of the total variation. Based on AMMI1 biplot, G1 (G100H/SHRW-60-38) and G5 (G100H/SHRW-34) showed higher yield stability. However, the most stable genotype (G5) produced low yield. The other stable genotype (G5) showed highest soybean yield, and therefore it is proposed to be released as a new improved soybean variety.
Co-Authors Adie, M Muchlish Djoko Prajitno Krisnawati, Ayda Noerwijati, Kartika Panjisakti Basunanda Taryono, nFn