Gge Biplot Analysis for Genotype X Environment Interaction on Yield Trait of High Fe Content Rice Genotypes in Indonesian Irrigated Environments

Abstract

The prevalence of Iron (Fe) defficiency in Indonesia is around 31 -63.5 %. High Fe content rice lines had been developed to overcome the problem. This study was aimed to explore the effect of genotype (G) and genotype × environment inter-action (GEI) on yield of 21 high Fe content rice genotypes under 5 irrigated field environments. The research was conducted at DS 2011 in 2 locations and DS 2012 in 3 locations following randomized complete block design with three replications in each location. Combined analysis of variance showed genotype x environment inter-action at 1% probability level, where G and GEI captured totally 88.8% of total variability. There were two Mega-environments constructed, i.e. Mega-E 1 that contained environments of trials in dry season 2011 (E4 and E5) with the winner of G12 (BP9474C-1-1-B) and Mega-E 2 that contained environments of trials in dry season 2012 (E1, E2, and E3) with the winner of G3 (A69-1). E1 (Subang, DS 2012), E2 (Karawang, DS 2012, and E3 (Indramaru, DS 2012) had good discriminativeness and representasiveness for yield trait of high Fe content rice lines. Mean performance and stability of genotypes indicated that G3 (A69-1; average 6.72 t ha -1 ) was highly stable with high yield.

Kesesuaian Galur Padi (Oryza sativa) pada Lahan Sawah Tadah Hujan

“…Galur IR83383-B-B-129-4 adaptif di Purwakarta. Genotipe yang hanya unggul di lokasi tertentu dikategorikan memiliki daya adaptasi yang sempit (Sedghi-Azar et al 2008;Susanto et al 2015;Donoso-Ñanculao et al 2016).…”

Elucidation of Genotype × Environment Interaction for Identification of Stable Genotypes to Grain Yield of Rice (Oryza sativa L.) Varieties in Bangladesh Rainfed Condition

“…On the other hand, genotypes G5 (Binadhan-17), G10 (BR11), G12 (BR23) and G23 (BRRI dhan46) had above average yield with short vector. Susanto et al, (2015) and Akmal et al, (2014) reported that genotype with the highest yield average was not necessarily be the most stable and vice versa. In the present study, it was observed that the highest yield was obtained in Khulna (4.69 tha -1 ) followed by Barishal (4.53 tha -1 ) and Chattogram (4.21 tha -1 ) (Table 4a).…”

Analisis Stabilitas Parametrik Hasil Cabai Rawit (Capsicum fructescens L.) pada Empat Lokasi Dataran Rendah

“…AMMI biplot PC1 vs PC2 untuk karakter produksi buah 16 genotipe cabai di 4 lokasi (keterangan lihat Gambar 2) GGE biplot menghasilkan visualisasi grafik yang menggambarkan penampilan genotipe lingkungan spesifik, adaptabilitas genotipe beberapa lingkungan berbeda, mengidentifikasi genotipe terbaik pada masing-masing lingkungan, memvisualisasikan mega-environment, rata-rata penampilan genotipe dan stabilitasnya. GGE biplot juga mampu menampilkan genotipe terbaik dengan daya hasil tertinggi pada masing-masing mega-environment dan mampu menunjukkan genotipe serta lingkungan ideal (Farshadfar et al, 2013;Farshadfar dan Sadegi, 2014;Susanto et al, 2015). Yan and Tinker (2005) menyatakan bahwa sumbu AEA (sumbu X) memberikan gambaran rata-rata hasil, sedangkan sumbu Y merupakan garis tegak lurus terhadap sumbu AEA dan melalui titik asal biplot yang memberikan gambaran stabilitas agronomis.…”