Hybrid maize selection through GGE biplot analysis

Abstract

The cultivation of genotypes non-adapted to the cultivation region of interest is among the main factors responsible for low yield. The aim of the present study is to select hybrid maize through GGE biplot analysis and to assess its adaptability and stability in different environments in Northeastern Brazil. Twenty-five hybrid maize cultivars were assessed in ten different environments in Northeastern Brazil in 2012 and 2013 based on the randomized block design, with two replications. The analysis of variance and assessment of genotype adaptability and stability were made through GGE biplot analysis, based on grain yield. Analysis of variance results showed different performances depending on the genotype, as well as genotype/environment interaction. The biplot analysis

Yield and Quality Stabilities of Waxy Maize Genotypes using Biplot Analysis

“…The coefficient of variations for the yield, yield components and grain chemical characteristics determined in the experiment showed that the reliability of the experiment was within the acceptable limits for Corn experiments, and the values were in consistent with the literature [27,28].…”

“…The mean yields of ADAX-2>ADAX-9R>ADAX17 genotypes were lower than the mean yield of the experiment; thus, the stability of genotypes was considered low. Similar results have been reported many researcher [54,55,49,27]. The GGE biplot defines the relationships between all environments based on the general model of MET data, whereas the simple correlation coefficients describe the relationships between the two environments [20,21].…”

“…The significance of GE interaction (p<0.01) in both years can be explained by changes in the stabilities of genotypes under different environments. The variation of yield potentials for corn genotypes depending on the environment have been reported also by [48,49,27].…”

“…The most stable cultivars were Kalumet and P2088, while ADAX-11 and ADAX18 genotypes were determined as the most stable waxy Corn genotypes. Many researchers indicated that the comparison biplot model helps determine the ideal genotype based on the mean yield and quality values [27,49,56]. Placement of the varieties in different sectors indicated that these genotypes were genetically different in terms of yield.…”

Heat Stress Effect on the Grain Yield of Three Drought-Tolerant Maize Varieties under Varying Growth Conditions

“…GGE biplot had been used to explain yield variations in many economic crops, like Triticum aestivum L. [ 27 ], Saccharum officinirum L. [ 28 ], Zea mays L. [ 29 ], and Telfaria occidentalis L. [ 30 ]. GGE biplot is an efficient tool for interpreting genotype by trait interactions [ 31 ], as well as predicting the mean genotype yield per specific environments [ 29 ].…”