Utilization of different Graphical and Simplified Statistical Model to Analyse The Stability of Various Summer Forage Genotypes

Baiumy,, K. A.; El Hosary, A. A. A.; Saad, A. M.

doi:10.21608/jpp.2023.198804.1226

Utilization of different Graphical and Simplified Statistical Model to Analyse The Stability of Various Summer Forage Genotypes

Document Type : Original Article

Authors

Agronomy Department, Faculty of Agric., Benha University

10.21608/jpp.2023.198804.1226

Abstract

Plant breeders are very concerned about the presence of genotype environment (G E) interaction since it can significantly lower selection gains and make it more difficult to identify superior genotypes. As an attempt to solve the problem of summer fodder in Egypt, an evaluation was made. Nine genotypes (six teosinte (T)-maize(M) genotypes (T x M (W)106, T x M 202-A, T x M Hytech 2031, T x M Pioneer 30k8(W), T x M pioneer 3444 (Y),T x M SC Giza 168, Pearl millet, Fodder maize and Sudan grass) were evaluated in three nitrogen level (0, 50 and 100 Kg N Fed^-1) through 2021 and 2022 summer seasons. The aim of this work is to assess the forage yield performance, determine the magnitude of (G × E) interaction and investigate the stability derived from regression and variance analyses besides using graphical analysis. The crosses T x M SC pioneer 3444 and M (W) 106 and M (Y) 202-A exhibited a significant increase in the fresh and dry matter yield followed by Sudan grass and Pearl millet. Low S²d and value of b around one with high yield over mean were found by T x M Y202-A, T x M pioneer for fresh yield and Pearl millet for dry matter. Graphical analysis confirmed the aforementioned results in addition it showed that fodder maize had the lowest values for fresh yield; meanwhile the highest values were detected by genotypes T x M W106, and T x M Pioneer 3444 for fresh and dry matter yield.

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