RESUMO
This study aimed to identify the best genotypes using the genotype × yield × trait (GYT) method. To investigate the relationships was performed between yield × traits in four regions of Karaj, Birjand, Shiraz and Arak in two cropping years in a randomized complete block design (RCBD) with three replications. The average grain yield in four regions and two years of the experiment was calculated as 5966 kg/ha, and GYT was obtained based on the multiplication of grain yield with different traits. Comparing the average effect of genotype × year in different environments showed that KSC703 and KSC707 hybrids are among the most productive hybrids among the studied genotypes in grain yield. By examining the correlation coefficients between yield × traits in the tested areas, Y × TWG with Y × GW, Y × NRE, Y × NGR and Y × EL, Y × ED with Y × NGR, Y × NRE with Y × GW and the combination of Y × GW with Y × GL had a positive and significant correlation in all regions. The correlation diagrams were drawn on the evaluated areas' data and showed the correlation of most compounds except Y × GT with each other. Based on the analysis of the main components, the first three components explained the greatest diversity in the population. They were named the component ear grain profile, grain thickness component and plant height profile component.
Este estudo teve como objetivo identificar os melhores genótipos usando o método "genótipo × produção × característica (GYT)". Uma análise foi realizada para investigar as relações entre "rendimento × características", em quatro regiões de Karaj, Birjand, Shiraz e Arak durante dois anos de cultivo, em um delineamento de blocos completos ao acaso (RCBD) com três repetições. O rendimento médio de grãos em quatro regiões e dois anos de experimento foi calculado em 5966 kg/ha, e o GYT foi obtido a partir da multiplicação do rendimento de grãos com diferentes caracteres. A comparação do efeito médio de "genótipo × ano" em diferentes ambientes mostrou que os híbridos KSC703 e KSC707 estão entre os híbridos mais produtivos entre os genótipos estudados na produtividade de grãos. Examinando os coeficientes de correlação entre rendimento × características nas áreas testadas, Y × TWG com Y × GW, Y × NRE, Y × NGR e Y × EL, Y × ED com Y × NGR, Y × NRE com Y × GW e a combinação de Y × GW com Y × GL apresentaram correlação positiva e significativa em todas as regiões. Os diagramas de correlação foram desenhados nos dados das áreas avaliadas e mostraram a correlação da maioria dos compostos exceto Y × GT entre si. Com base na análise dos componentes principais, os três primeiros componentes explicaram a maior diversidade da população. Eles foram denominados de "componente perfil de grão da espiga", "componente de espessura de grão" e "componente de perfil de altura da planta".
Assuntos
Análise por Conglomerados , Zea mays , Melhoramento Vegetal , GenótipoRESUMO
This study aimed to identify the best genotypes using the genotype × yield × trait (GYT) method. To investigate the relationships was performed between yield × traits in four regions of Karaj, Birjand, Shiraz and Arak in two cropping years in a randomized complete block design (RCBD) with three replications. The average grain yield in four regions and two years of the experiment was calculated as 5966 kg/ha, and GYT was obtained based on the multiplication of grain yield with different traits. Comparing the average effect of genotype × year in different environments showed that KSC703 and KSC707 hybrids are among the most productive hybrids among the studied genotypes in grain yield. By examining the correlation coefficients between yield × traits in the tested areas, Y × TWG with Y × GW, Y × NRE, Y × NGR and Y × EL, Y × ED with Y × NGR, Y × NRE with Y × GW and the combination of Y × GW with Y × GL had a positive and significant correlation in all regions. The correlation diagrams were drawn on the evaluated areas' data and showed the correlation of most compounds except Y × GT with each other. Based on the analysis of the main components, the first three components explained the greatest diversity in the population. They were named the component ear grain profile, grain thickness component and plant height profile component.