Tritikale Islah Çalışmalarında Biplot Analiz Tekniğinin Seleksiyonda Kullanılması

Year 2022, Volume: 32 Issue: 1, 186 - 198, 31.03.2022

Enver Kendal

https://doi.org/10.29133/yyutbd.1035375

Cited By: 1

Abstract

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Thanks

Bu çalışmanın yürütülmesinde her türlü desteği sunan GAP Uluslararası Tarımsal Araştırma ve Eğitim Merkezi Müdrlüğü yöneticilerine ve Serin İklim Tahılları/Buğday Arapa Islah şubesi elemanlarına teşekkür ederim.

Using Biplot Analysis Technique to Selection in Tritikale Breeding Studies

Abstract

This study was carried out in Diyarbakır conditions with 20 advanced triticale lines and 5 standard varieties in 2012-2013 and 2013-14 growing seasons. According to variance analysis results, the interaction of year, genotype and year*genotype was found to be significant (p<0.01; p<0.05) in terms of many characteristics. the results showing that plant height was changed 3 237-5 389 kg/ha-1, hectoliter weight is 71.2-78.8 kg/hl-1, thousand grain weight is 28.0-40.2 g, protein content 14.6%-17.2%, the moisture rate in the grain varied between 7.9-8.1%. In terms of traits, many lines used in the research were superior to the varieties used as standard in the experiment. In addition, superior genotypes were determined by considering all characters together with GT biplot technique. In GT biplot technique, PC1 made up 36.83% of the variation, PC2 constituted 19.53% of the variation and 56.36% of the variation in total. According to the results of the research, depending on the ecological factors of the growing seasons, the plants were earlier spiked and reached higher height in the first year; It was determined that grain yield, thousand grain weight and hectoliter weight were higher than the second year, and on the contrary, the protein content was lower than the second year due to high precipitation. It was concluded that biplot analysis techniques facilitate the work of breeders in selection. It has been concluded that the results of a single growing season will be insufficient and the results of two growing seasons may be sufficient to evaluate the cultivar candidates.

Keywords

Adaptation, Bi-plot, Diyarbakir, Genotype

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