Assessment of Yield Performance and Stability of Winter Barley (Hordeum vulgare L.) Genotypes under Rainfed Conditions of Central Anatolia and Transition Regions

Year 2024, Volume: 10 Issue: 2, 85 - 93, 31.07.2024

Namuk Ergün Melih Bilir Emre Karahan Sinan Aydoğan İsmail Sayim Gülden Çetin Özkan

Abstract

Barley (Hordeum vulgare L.) is one of the most important agricultural crops in Türkiye. It is imperative to increase the
grain yield of barley to meet the growing demand. One of the most important ways to do this is to develop high-yielding
cultivars with good adaptation to varying environmental conditions. In breeding studies, the performance of candidate
lines should be determined through multiple yield trials. In this study, eighteen advanced barley lines with six check
cultivars were planted in nine locations under rainfed conditions of Central Anatolia and transitional regions in the
2019-2020 growing season. In addition to the yield performance of the genotypes, their yield stability in nine locations
was also determined. According to the result of the study, the highest and lowest-yielding locations were Konya
and Afyonkarahisar, respectively. This study revealed Sayım 40 had higher grain yield potential in Central Anatolia.
Additionally, advanced line G23 was identified as the most promising feed barley genotype yielding approximately
3959 kg/ha across nine locations in the Central and transitional ecological zones of Anatolia.

Keywords

Barley, grain yield, multi-location trials

References

• Akçura M, Kaya Y and Taner S, (2005). Genotypeenvironment interaction and phenotypic stability analysis for grain yield of durum wheat in the Central Anatolian Region. Turkish Journal of Agriculture and Forestry 29(5):369-375.
• Akgun N, Topal A and Akcura M, (2012). Evaluation of Central Anatolian barley landraces for crop improvement. Romanian Agricultural Research 29:87-93.
• Avcı M, (2023). Araştırma sonuçlarının excel addin makrosu ile istatistiksel analizi, https:// yeniavciistatistik.blogspot.com
• Becker HC and Léon J, (1988). Stability analysis in plant breeding. Plant Breeding 101:1-23. https:// doi.org/10.1111/j.1439-0523.1988.tb00261.x
• Eberhart SA and Russell WA, (1966). Stability parameters for comparing varieties. Crop Science 6:36-40.
• Ergün N, Aydoğan S, Sayim İ, Bilir M, Çetin ÖG and Karahan E, (2023). Grain yield and stability of feed barley (Hordeum vulgare L.) genotypes under dry conditions of Central Anatolia. In Çolak AM, Seydoşoğlu S. and Mertoğlu K. (Eds) 13th International Conference on Agriculture, Animal Science and Rural Development Proceeding Book. Uşak. p.23 https://doi.org/10.5281/ zenodo.10406033
• FAOSTAT (2023). Crops and livestock products. https://www.fao.org/faostat/en/#data/QCL. Accessed 06.12.2023
• Finlay KW and Wilkinson GN, (1963). The analysis of adaptation in a plant-breeding programme. Crop and Pasture Science 14:742-754.
• Francis TR and Kannenberg LW, (1978). Yield stability studies in short-season maize. I. A descriptive method for grouping genotypes. Canadian Journal of Plant Science 58(4): 1029-1034. https://doi. org/10.4141/cjps78-157
• Lee SY, Lee HS, Lee CM, Ha SK, Park HM, Lee SM, Kwon Y, Jeung JU and Mo Y, (2023). Multienvironment trials and stability analysis for yield-related traits of commercial rice cultivars. Agriculture 13(2):256. https://doi.org/10.3390/ agriculture13020256
• Montgomery DC, (2013) Design and analysis of experiments (Eighth edition). John Wiley & Sons, Newyork
• Newton AC, Flavell AJ, George TS, Leat P, Mullholland B, Ramsay L and Bingham IJ, (2011). Crops that feed the world 4. Barley a resilient crop? Strengths and weaknesses in the context of food security. Food Security 3: 141-178. https://doi. org/10.1007/s12571-011-0126-3
• Pinthus MJ, (1973) Estimate of genotypic value: A proposed method. Euphytica 22: 121–123. https://doi.org/10.1007/BF00021563
• Pour-Aboughadareh A, Yousefian M, Moradkhani H, Poczai P and Siddique KHM, (2019). STABILITYSOFT: A new online program to calculate parametric and non-parametric stability statistics for crop traits. Applications in Plant Sciences 7(1): e1211. https://doi.org/10.1002/ aps3.1211
• Pour-Aboughadareh A, Barati A, Koohkan SA, Jabari M, Marzoghian A, Gholipoor A and Kheirgo M, (2022). Dissection of genotype-by-environment interaction and yield stability analysis in barley using AMMI model and stability statistics. Bulletin of the National Research Centre 46(1):19. https://doi.org/10.1186/s42269-022- 00703-5
• Sabaghnia N, Mohammadi M and Karimizadeh R, (2013). Yield stability of performance in multienvironment trials of barley (Hordeum vulgare L.) genotypes. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 61(3):787- 793. https://doi.org/10.11118/actaun201361030787
• Saisho D and Purugganan MD, (2007). Molecular phylogeography of domesticated barley traces expansion of agriculture in the Old World. Genetics 177(3):1765–1776. https://doi. org/10.1534/genetics.107.079491
• T eich AH, (1983). Yield stability of cultivars and lines of winter wheat. Cereal Research Communications 197-202. http://www.jstor.org/stable/23781406 Tokgöz M, (1997). The effect of rainfall to barley yield in Turkey. Journal of Agricultural Sciences 03(02):97-102. https://doi.org/10.1501/ Tarimbil_0000000319
• TSI, (2023). Database of Turkish Statistical Institute. https://data.tuik.gov.tr/Kategori/ GetKategori?p=Tarim-111. Accessed 06.12.2023
• Yan W and Tinker NA, (2006). Biplot analysis of multi-environment trial data: Principles and applications. Canadian journal of plant science 86(3): 623-645. https://doi.org/10.4141/P05-169
• Yüksel S and Akçura M, (2012). Pattern analysis of multi-environment yield trials in barley (Hordeum vulgare L.). Turkish Journal of Agriculture and Forestry 36(3): 285-295. https://doi.org/10.3906/ tar-1103-41