Year 2023, Volume 8, Issue 2

Year : 2023
Volume : 8
Issue : 2
   
Authors : Boryana DYULGEROVA, Nikolay DYULGEROV
Title : GENOTYPE BY YIELD*TRAIT BIPLOT FOR GENOTYPE EVALUATION IN WINTER BARLEY
Abstract : Genotype selection in winter barley, considering multiple traits over several years, often faces challenges due to unpredictable rainfed conditions. The aim of this study was to utilize the genotype by yield*trait (GYT) biplot methodology for selecting genotypes using multi-trait data and analyzing trait profiles in winter barley under rainfed conditions in Southeast Bulgaria. In the experimental field of the Institute of Agriculture – Karnobat, Bulgaria 5 varieties and 15 advanced breeding lines of winter barley were evaluated in a complete block design with four replications in three growing seasons (2019/2020, 2020/2021, and 2021/2022). The GYT biplot method was used for ranking the genotypes based on their levels in combining grain yield with important grain quality traits. The variety Zemela (G5) demonstrated the most favorable combination of grain yield and grain quality. The advanced breeding line M102/10 (G20) outperformed not only the standard variety Veslets (G1), but also newly developed feed varieties like Bojin (G3), Bori (G4), and Zemela (G5), as indicated by the superiority index. These results highlight the potential usefulness of the GYT biplot for selecting genotypes with both desirable grain yield and crucial grain quality traits in winter barley, particularly under rainfed conditions.
For citation : Dyulgerova, B., Dyulgerov, N. (2023). Genotype by yield*trait biplot for genotype evaluation in winter barley. AGROFOR International Journal, Volume 8. Issue No. 2. pp. 61-68. DOI: 10.7251/AGRENG2302061D
Keywords : winter barley, genotype by yield*trait biplot, multi-traits, superiority index, rainfed condition.
   
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