Selection criteria for yield in safflower (Charthamus tinctorius L.) genotypes under rainfed conditions
DOI:
https://doi.org/10.3989/gya.0449201Keywords:
Correlation, GT (Genotype by Trait)-biplot, Safflower, Selection, YieldAbstract
This research was conducted on 20 safflower genotypes and lasted 3 years (2014-2016) in the Central Anatolia Region of Turkey. The experiments were conducted in randomized block design with four replications. The relationships among yield 9 other traits in safflower genotypes were investigated. As the average of three years, the greatest seed yield (SY) was obtained from genotype G5 (PI 451952) with 3156.3 kg·ha-1. It was followed by genotypes G4 (PI 525458) and G9 (PI 306686) with 3013.2 and 2977.1 kg·ha-1, respectively. Among the standard cultivars, the greatest seed yield (2750.4 kg·ha-1) was obtained from the Dinçer cultivar. The greatest oil content (OC) was obtained from the genotype G11 (PI 537665) with 36.5%. It was followed by the genotypes G9 (PI 306686) (35.4%), G6 (PI 537598) (35.4%) and G14 (PI 560169) (35.3%). Oil contents varied between 29.1-36.5%. Yield-trait relationships were assessed through both correlation analysis and GT (Genotype by Trait) biplot analysis. Based on the results of the two approaches, plant height (PH), number of branches (NB), number of heads (NH) and thousand-seed weight (TSW) were identified as the most significant selection criteria for yield from safflower. The combined use of correlation and biplot analysis in the assessment of relationships among the traits improved the chance for success.
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Akbar AA, Kamran M. 2006. Relationship among yield components and selection criteria for yield improvement in safflower (Cathamus tinctorious L.). J. Appl. Sci. 6, 2853-2855. https://doi.org/10.3923/jas.2006.2853.2855
Akçura M. 2011. The relationships of some traits in Turkish winter bread wheat landraces. Turk. J. Agric. Forestry 35 (2), 115-125.
Ali F, Yilmaz A, Chaudhary HJ, Nadeem MA, Rabbani MA, Arslan Y, Nawaz MA, Habyarımanas E, Baloch FS. 2020. Investigation of morphoagronomic performance and selection indices in the international safflower panel for breeding perspectives. Turk. J. Agric. Forestry. 44 (2), 103-120. https://doi.org/10.3906/tar-1902-49
Alizadeh K. 2005. Safflower as a new crop in the cold drylands of Iran. Sesame and Safflower Newslatter 20, 92-94.
Arslan B. 2007. The path analysis of yield and its components in safflower (Carthamus tinctorius L.). J. Biologic. Sci. 7, 668-672. https://doi.org/10.3923/jbs.2007.668.672
Baljani R, Shekari F, Sabaghnia N. 2015. Biplot analysis of trait relations of some safflower (Carthamus tinctorius L.) genotypes in Iran. Crop Res. 50, 63-73.
Camas N, Cirak C, Esendal E. 2007. Seed yield, oil content and fatty composition of safflower (Carthamus tinctorius L.) grown in northern Turkey conditions. J. Agric. Fac. Ondokuz Mayıs University 22, 98-104.
Coşge B, Kaya D. 2008. Performance of some safflower (Carthamus tinctorius L.) varieties sown in late-autumn and late-spring. SDU J. Nat. Appl. Sci. 12, 13-18.
Eslam BP, Monirifar H, Ghassemi MT. 2010. Evaluation of late season drought effects on seed and oil yields in spring safflower genotypes. Turk. J. Agric. Forestry 34, 373-380.
Flores F, Moreno MT, Cubero JI. 1998. A comparison of univariate and multivariate methods to analyze G× E interaction. Field Crops Res. 56, 271-286. https://doi.org/10.1016/S0378-4290(97)00095-6
Golkar P, Arzani A, Rezai AM. 2012. Genetic analysis of agronomic traits in safflower (Carthamus tinctorious L.). Notulae Botanicae Horti Agrobotanici Cluj-Napoca 40 (1), 276-281. https://doi.org/10.15835/nbha4017209
Hussein A, Ibrahim AE, Hussein I, Idris S. 2018. Assessment of genotype x environment interactions and stability for seed yield of selected safflower (Carthamus tinctorius L.) genotypes in central and northern Sudan. Gezira J. Agric. Sci. 16.
Kaya Y, Evci G, Pekcan V, Gucer T, Yilmaz Mİ. 2009. The Determination Relationships between Oil Yield and Some Yield Traits in Sunflower. J. Agric. Sci. 15, 310-318.
Koç H, Keles R, Ulker R, Gumuscü G, Ercan B, Akcacik AG, Gunes A, Ozdemir F, Ozer E, Uludag E. 2010. Determination of yield, yield components and quality properties of some safflower (Carthamus tinctorius L.) lines and relations between these properties. J. Crop Res. 2, 1-7.
Kose A. 2017. Agricultural performances of some safflower (Carthamus tinctorius L.) varieties under Eskisehir vonditions. Selcuk J. Agric. Food Sci. 31, 1-7. https://doi.org/10.15316/SJAFS.2017.28
Kroonenberg PM. 1995. Introduction to biplots for G × E tables. Department of Mathematics. Research Report 51. University of Queensland, Australia. [Online] Available: http://three-mode.leidenuniv.nl/document/biplot.pdf.
Mozaffari K, Asadi A. 2006. Relationships among traits using correlation principal components and path analysis in safflower mutants sown in irrigated and drought stress condition. Asian J. Plant Sci. 5, 977-983. https://doi.org/10.3923/ajps.2006.977.983
Nabloussi A, Fechtali ME, Lyagoubi S. 2008. Agronomic and technological evaluation of a world safflower collection in Moroccan Conditions. VII. International Safflower Conference. Wagga -Australia.
Ozturk O, Ada R, Akinerdem F. 2009. Determınatıon of yield and yield components of some safflower cultivars under irrigated and dry condıtıons. Selcuk J. Agric. Food Sci. 23,16-27.
Rad MN, Kadir MA, Rafii MY, Jaafar HZ, Naghavi MR, Ahmadi F. 2013. Genotype environment interaction by AMMI and GGE biplot analysis in three consecutive generations of wheat (Triticum aestivum) under normal and drought stress conditions. Australian J. Crop Sci. 7, 956.
Rubio J, Cubero JI, Martin LM, Suso MJ, Flores F. 2004. Biplot analysis of trait relations of white lupin in Spain. Euphytica 135, 217-224. https://doi.org/10.1023/B:EUPH.0000014911.70355.c9
Weiss EA. 2000. Oilseed Crops. Blackwell Publishing Limited, London, UK.
Yan W, Kang MS, Manjit B, Woods CS, Corneliusd PL. 2007. GGE Biplot vs. AMMI Analysis of Genotypeby-Environment Data. Crop Sci. 47, 643-653. https://doi.org/10.2135/cropsci2006.06.0374
Yan W, Kang MS. 2003. GGE biplot analysis. A graphical tool for breeders, geneticists and agronomists. CRC press. https://doi.org/10.1201/9781420040371
Yan W, Rajcan I. 2002. Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Sci. 42, 11-20. https://doi.org/10.2135/cropsci2002.1100 PMid:11756248
Yan W, Frégeau-Reid J. 2008. Breeding line selection based on multiple traits. Crop Sci. 48, 417-423. https://doi.org/10.2135/cropsci2007.05.0254
Yan W, Tinker NA, Bekele WA, Mitchell-Fetch J, Fregeau-Reid J. 2019a. Theoretical unification and practical Integration of conventional methods and genomic selection in plant breeding. Crop breed. Genetics and Genomics 1 (2).
Yan W, Frégeau-Reid J, Mountain N, Kobler J. 2019b. Genotype and management evaluation based on genotype by yield* trait (GYT) analysis. Crop Breed Genetics and Genomics 1 (2).
Yau SK. 1995. Regression and AMMI analyses of genotype x environment interactions, an empirical comparison. Agronomy J. 87, 121-126. https://doi.org/10.2134/agronj1995.00021962008700010021x
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