DATASET FOR STABILITY OF HIGH BIOMASS AND YIELD IN MAIZE UNDER NORMAL AND INTERCROPPING CONDITIONS BASED ON BIPLOT, GENOTYPE STABILITY INDEX AND LAND EQUIVALENT RATIO

Description

The field evaluation was conducted in Arjasari, West Java, Indonesia, for two seasons in three different cropping systems, namely: maize sole cropping, maize+soybean intercropping and maize+sweet potato intercropping. The evaluation applied a randomized completed block design with three replications. The objectives of this study were to identify the effect of genotypes, environments, and their interactions (GEIs) on hybrid maize biomass and yield; identify representative environments and mega-environments for testing and development; and evaluate the adaptability of maize hybrids developed from crosses of elite strains with broad and specific adaptation in three maize cultivation systems in West Java, Indonesia. Combined of Anova Table is provided to identify the effect of genotype, environment and their interaction for the traits observed. Thus biplot of GGE and AMMI is provided to identify representative environment and mega-environment for testing and development of hybrid maize; and to evaluate tehir adaptability in sole cropping as well as in intercropping with soybean and sweetpotato

Steps to reproduce

The field evaluation was done in Arjasari, West Java, Indonesia, for two seasons in three different cropping systems, namely: maize sole cropping, maize+soybean intercropping and maize+sweet potato intercropping. The evaluation applied a randomized completed block design with three replications. The hybrids were planted in a 3 × 3 m plot with a spacing of 0.75 × 0.2 m. Data were gathered during harvest, 93 days following planting, using the Descriptor for Maize. Planting and harvesting were done manually. Each plot composed of 60 plants of maize for sole-cropping and 30 for intercropping. The yield in each plot was converted into tons ha-1. The data gathered were vegetative and yield traits. The traits evaluated were plant weight and cob weight with husks (CWH) for biomass and grain yield (GY) for yield. PBtools software was used to calculate the variance components of each trait. The GGE and AMMI biplot analysis was estimated using RStudio.

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