Genotypes selection of Sorghum bicolor L. based on interrelationship of quantitative traits using Genotype×Traits and Genotype by Yield×Traits biplot

Document Type : Research paper

Authors

1 Horticulture Crops Research Department, Golestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), P. O. Box: 491567-75555, Gorgan, Iran.

2 Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.

Abstract

Sorghum is one of the most important crops grown for human diet and bio-energy. An understanding of genotypes efficiency by evaluating multivariate methods like genotype by traits (GT) and genotype by yield×trait (GYT) biplot is essential to detect suitable genotypes of sorghum. Therefore, traits interrelationship of eighteen sorghum genotypes were investigated based on a randomized complete block design with three replications during 2016-2017. The data of various characters were subjected to ANOVA, Pearson correlation, the GT and the GYT biplot analysis via SAS and GGE biplot software. The analysis of variance depicted that there were significant differences among Genetype×Year interaction based on evaluated variables (P>0.01). The evaluation of traits and their association by GT and GYT biplot indicated that there were significant (P>0.001) differences among traits and yield-trait combination which was strongly approved by numerical Pearson correlation. Also, the GT biplot indicated that the best-ranked genotypes included G4>G15>G6>G17>G18>G16>G13>G3 and the GYT biplot superiority-ranked genotypes compris-ed of G4>G6>G17>G3>G15>G10>G2>G7>G11. Both the GT and GYT biplot confirmed that FGCSI04 (G4) was the most suitable and ideal genotype strongly suitable to sorghum production according to prominent performances on plant height, panicle length, panicle width, grain yield and biological yield. This genotype evaluation showed that there were existed a high genetic diversity among genotypes for the studied variables in which GT and GYT approach simultaneously can help breeders to select prominent genotypes and reduce genetic load in the breeding programs.
 

Keywords

References

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History

  • Receive Date: 06 July 2021
  • Revise Date: 10 September 2021
  • Accept Date: 26 September 2021

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