Pamukta (Gossypium hirsutum L.) tarımsal özellikler için generasyonlar arası ve generasyon içi ilişkiler

Yıl 2025, Cilt: 30 Sayı: 1, 216 - 225, 26.04.2025

Taner Topuz , Volkan Mehmet Çınar , Aydın Ünay

https://doi.org/10.37908/mkutbd.1601818

Öz

İleri generasyonlardaki popülasyonların performansını erken generasyonlarda tahmin etmek işgücünü azaltarak ıslah başarısını artırmaktadır. İncelenen özelliklerin genetik potansiyellerinin generasyonlar arası korelasyon yoluyla sonraki generasyonlara ne ölçüde aktarıldığını tahmin etmek bu çalışmanın temel amacıydı. Pamukta (Gossypium hirsutum L.) F3, F4 ve F5 çok ebeveynli melezlerde basit korelasyon kullanılarak verim, verim bileşenleri ve lif kalitesi parametreleri arasındaki ilişkiler hem generasyonlar içinde hem de generasyonlar arasında araştırılmıştır. 2022 yılında F3 ve F4, 2023 yılında ise F4 ve F5 generasyonlarında 13 farklı melez kombinasyon Bölünmüş Parseller Deneme Deseninde ekilmiştir. Generasyonlara ilişkin temel istatistikler lif inceliği dışında tüm özellikler için F3 ten F5 doğru minimum, maksimum ve ortalama değerlerdeki azalışı gösterdi. F3-F4 ve F4-F5 olmak üzere generasyonlar arası korelasyonlar saptandı. Generasyonlar arası önemli korelasyonlar, hem F3:4 hem de F4:5 de lif uzunluğu, lif dayanıklılığı ve tohum indeksi için pozitif, ancak bitki boyu için negatif bulunmuştur. Pozitif ve önemli korelasyonlar sadece F4:5'te kütlü pamuk verimi, çırçır randımanı ve lif inceliği için saptanmıştır. Üstün özelliklere sahip F4 popülasyonlarının çoğunun F5 generasyonunda da iyi performans sergilediği sonucuna varılmıştır. Generasyon içi korelasyonlar yüksek verim için koza sayısı ve koza ağırlığının artırılmasının ve yüksek çırçır randımanı için tohum indeksinin azaltılmasının seleksiyon için etkili olabileceğini göstermiştir.

Anahtar Kelimeler

Bulk popülasyonu , Korelasyon , Lif kalitesi , Seleksiyon , Verim

Inter-and intrageneration associations for agronomic traits in cotton (Gossypium hirsutum L.)

Öz

Estimating the performance of late-generation populations in early generations increases breeding achievement but reduces effort. The primary objective of this study was to estimate the extent to which the genetic potentials of the character are transmitted to the next generations through intergenerational correlation. Simple Pearson correlations between traits studied both within and between generations in F3, F4, and F5 multiparental cotton (Gossypium hirsutum L.) hybrids were evaluated. Thirteen different hybrid combinations were arranged in a split-plot design in 2022 for the F3 and F4 generations and in 2023 for the F4 and F5 generations. Basic statistics for generations indicated a decrease in minimum, maximum and mean values from F3 to F5 for all traits except fiber fineness. Intergenerational correlations were calculated between F3 and F4, and F4 and F5. Significant intergenerational correlations were positive for fiber length, fiber strength and seed index and negative for plant height in both F3:4 and F4:5. Significant and positive correlations were recorded for seed cotton yield, ginning out-turn and fiber fineness only in F4:5. It was concluded that many of the F4 populations with desirable values also performed well in the F5 generation. Intrageneration correlations indicated that increasing boll number and boll weight for high yield and decreasing seed index for high ginning yield can be effective for selection.

Anahtar Kelimeler

Bulk population , Correlation , Fiber quality , Selection , Yield

Kaynakça

• Abbas, H.G., Abid Mahmood, A.M., & Qurban Ali, Q.A. (2015). Genetic variability and correlation analysis for various yield traits of cotton (Gossypium hirsutum L.). Journal of Agricultural Research (Lahore), 53 (4), 481-490.
• Acquaah, G. (2015). Conventional plant breeding principles and techniques. In J. Al-Khayri, S. Jain & D. Johnson (Eds.), Advances in Plant Breeding Strategies: Breeding, Biotechnology and Molecular Tools (pp. 115-118). Springer, Cham. https://doi.org/10.1007/978-3-319-22521-0_5
• Alkuddsi, Y., Patil, S.S., Manjula, S.M., Patil, B.C., Nadaf, H.L., & Nandihali, B.S. (2013). Identifying of extra-long staple suitable lines (Gossypium barbadense L.) with improved fiber qualities to release new lines as an alternative for Suvin variety of Barbadense. Cotton Genomics and Genetics, 4 (1), 1-12. https://doi.org/10.5376/cgg.2013.04.0001
• Anam, H., Shakeel, A., Saeed, A., Khan, A.I., Jabran, M., Iqbal, S., Abbas, A., & Ali, M.A. (2024). Assessment of genetic diversity in Bt cotton germplasm using multivariate analysis. Phytopathogen omics and Disease Control, 3 (2), 267-275. https://doi.org/10.22194/Pdc/3.1035
• Balcı, S., Cınar, V.M., & Unay, A. (2021). The effects of modified recurrent selection on fiber characteristics and neps in cotton (Gossypium hirsutum L.). Anadolu, J. of AARI, 31 (2), 137-142.
• Barut, A. (1998). Early generation bulk testing for predicting F4:5 line performance in cotton. [Master’s thesis, Mississippi State University].
• Bowman, D.T. (2000). Attributes of public and private cotton breeding programs. Journal of Cotton Science, 4 (2), 130-136.
• Çetin, M.D., & Güvercin, R.Ş. (2022). Comparison of yield and fiber properties by correlation, biplot and cluster analysis in some cotton (Gossypium hirsutum L.) hybrids. Romanian Agricultural Research, 39, 205-220.
• Clement, J.D., Constable, G.A., Stiller, W.N., & Liu, S.M. (2015). Early generation selection strategies for breeding better combinations of cotton yield and fibre quality. Field Crops Research, 172, 145-152. https://doi.org/10.1016/j.fcr.2014.11.009
• Cole, C.B., Bowman, D.T., Bourland, F.M., Caldwell, W.D., Campbell, B.T., Fraser, D.E., & Weaver, D.B. (2009). Impact of heterozygosity and heterogeneity on cotton lint yield stability. Crop Science, 49 (5), 1577-1585. https://doi.org/10.2135/cropsci2008.08.0450
• Constable, G.A., & Bange, M.P. (2015). The yield potential of cotton (Gossypium hirsutum L.). Field Crops Research, 182, 98-106. https://doi.org/10.1016/j.fcr.2015.07.017
• Desalegn, Z. (2016). High ginning out turn and the improvement of Ethiopian cotton production. In World Cotton Research Conference-6Goiânia-Goiás, Brazil (pp. 2-6).
• Echekwu, C.A. (2001). Correlations and correlated responses in upland cotton (Gossypium hirsutum L.). Tropicultura, 19 (4), 210-212.
• Hannachi, A., Fellahi, Z., Rabti, B., Guendouz, A., & Bouzerzour, H. (2017). Combining ability and gene action estimates for some yield attributes in durum wheat (Triticum turgidum L. var. durum). Journal of Fundamental and Applied Sciences, 9 (3), 1519-1534. https://doi.org/10.4314/jfas.v9i3.17
• Jones, D.G., & Smith, C.W. (2006). Early generation testing in upland cotton. Crop Science, 46 (1), 1-5. https://doi.org/10.2135/cropsci2004.0517
• Kamburova, V., Salakhutdinov, I., & Abdurakhmonov, I.Y. (2022). Cotton breeding in the view of abiotic and biotic stresses: challenges and perspectives. In Y. I. Abdurakhmonov (Ed.), Cotton. IntechOpen. https://doi.org/10.5772/intechopen.104761
• Kumar, S.V., Kumar, M., Singh, V., Sheokand, R.N., & Kumar, P. (2020). Regression analysis and inter generation trait association in F3 and F4 generation of wheat. Electronic Journal of Plant Breeding, 11 (1), 45-53.
• Lungu, D.M., Kaltsikes, P.J., & Larter, E.N. (1990). Intra-and intergeneration relationships among yield, its components and other related characteristics in spring wheat. Euphytica, 45, 139-153. https://doi.org/10.1007/BF00033281
• Malik, T.A. (2018). Correlation for economic traits in upland cotton. Acta Scientific Agriculture, 2 (10), 59-62. Meredith Jr, W.R. (1979). Inbreeding depression of selected F3 cotton progenies1. Crop Science, 19 (1), 86-88. https://doi.org/10.2135/cropsci1979.0011183X001900010020x
• Monisha, K., Premalatha, N., Sakthivel, N., & Kumar, M. (2018). Genetic variability and correlation studies in upland cotton (Gossypium hirsutum. L). Electronic Journal of Plant Breeding, 9 (3), 1053-1059.
• Nawaz, S., Malik, T.A., Ahmad, F., & Imran, H.M. (2019). Correlation of some morphological traits in upland cotton (G. hirsutum L.). International Journal of Scientific & Research Publications (IJSRP), 9 (3), 144-147. http://dx.doi.org/10.29322/IJSRP.9.03.2019.p8725
• Patil, A.E., Deosarkar, D.B., & Kalyankar, S.V. (2017). Impact of genotype x environment interaction on the heterosis and stability for seed-cotton yield on heterozygous and homozygous genotypes in cotton (Gossypium hirsutum L.). Indian Journal of Genetics and Plant Breeding, 77 (01), 119-125. https://doi.org/10.5958/0975-6906.2017.00016.0
• Percy, R.G. (2003). Comparison of bulk F2 performance testing and pedigree selection in thirty pima cotton populations. Journal of Cotton Science, 7, 170-178.
• Preetha, S., & Raveendren, T.S. (2008). Genetic appraisal of yield and fibre quality traits in cotton using interspecific F2, F3 and F4 population. International Journal of Integrative Biology, 3 (2), 136-142.
• R Studio Team (2020). RStudio: Integrated Development for R. RStudio, PBC, Boston, MA; 2020. Available from: http://www.rstudio.com/32
• Rao, P.J.M., & Gopinath, M. (2013). Association analysis of yield and fibre quality characters in upland cotton (Gossypium hirsutum L.). Australian Journal of Basic and Applied Sciences, 7 (8), 787-790.
• Rasheed, A., Haidar, S., & Hameed, A. (2020). Establishment of selection criteria for fibre quality characters in segregating F4 and F5 generations of cotton (Gossypium hirsutum L.). Pakistan Journal of Botany, 52 (5), 1777-1783. http://dx.doi.org/10.30848/PJB2020-5(23)
• Rathinavel, K., Kavitha, H., & Priyadharshini, C. (2017). Assessment of genetic variability and correlation analysis of seed and seed cotton yield attributing traits of tetraploid cotton genotypes (G. hirsutum L.). Electronic Journal of Plant Breeding, 8 (4), 1275-1283.
• Rauf, S., Khan, T.M., Sadaqat, H.A., & Khan, A.I. (2004). Correlation and path coefficient analysis of yield components in cotton (Gossypium hirsutum L.). International Journal of Agriculture & Biology, 6 (4), 686-688.
• Reis, M.C., Cardoso, D.B.O., Silva Júnior, E.G., Gomes, B.C., Pereira, L.T.G., Gomes, D.A., & Sousa, L.B. (2017). Correlation among traits as criterion of cotton genotypes indirect selection. Genetics and Molecular Research, 16 (3), 1-9.
• Saha, S., Wu, J., Jenkins, J.N., McCarty Jr, J.C., Gutierrez, O.A., Stelly, D.M., Percy, R.G., & Raska, D.A. (2004). Effect of chromosome substitutions from Gossypium barbadense L. 3-79 into G. hirsutum L. TM-1 on agronomic and fiber traits. Journal of Cotton Science, 8, 162-169.
• Salahuddin, S., Abro, S., Rehman, A., & Iqbal, K. (2010). Correlation analysis of seed cotton yield with some quantitative traits in upland cotton (Gossypium hirsutum L.). Pakistan Journal of Botany, 42 (6), 3799-3805.
• Schloerke, B., Crowley, J., Cook, D., Briatte, F., Marbach, M., Thoen, E., Elberg, A., & Larmarange, J. (2018). Package ‘ggally’. Extension to ‘ggplot2’, 713. Available from: https://cran.r-project.org/web/packages/GGally/index.html
• Shruti, Sowmya, H.C., Nidagundi, J.M., Lokesha, R., Arunkumar, B., & Murthy, S.M. (2020). Correlation and path coefficient analysis for seed cotton yield, yield attributing and fibre quality traits in cotton (Gossypium hirsutum L.). International Journal of Current Microbiology and Applied Sciences, 9 (2), 200-207. https://doi.org/10.20546/ijcmas.2020.902.025
• Snider, J.L., Collins, G.D., Whitaker, J., Chapman, K.D., & Horn, P. (2016). The impact of seed size and chemical composition on seedling vigor, yield, and fiber quality of cotton in five production environments. Field Crops Research, 193, 186-195. https://doi.org/10.1016/j.fcr.2016.05.002
• Soliman, A.M., Elshamy, A.I., & Mahmoud, B.A. (2023). Response to selection for lint yield in F2 and F3 populations of Egyptian cotton hybrid. Egyptian Journal of Plant Breeding, 27 (2), 247-268. https://doi.org/10.12816/ejpb.2023.314390
• Soomro, Z.A., Larik, A.S., Kumbhar, M.B., Khan, N.U., & Panhwar, N.A. (2008). Correlation and path analysis in hybrid cotton. SABRAO Journal of Breeding & Genetics, 40 (1), 49-56.
• Worley, S., Culp, T.W., & Harrell, D.C. (1974). The relative contributions of yield components to lint yield of upland cotton, Gossypium hirsutum L. Euphytica, 23 (2), 399-403. https://doi.org/10.1007/BF00035885
• Wynne, J.C., & Gregory, W.C. (1981). Peanut breeding. Advances in Agronomy, 34, 39-72. https://doi.org/10.1016/S0065-2113(08)60884-6
• Yadav, S., Singh, V., Yashveer, S., & Kumar, M. (2020). Regression analysis, heritability and inter-generation correlation in wheat (Triticum aestivum L.). Indian Journal of Pure & Applied Biosciences, 8 (4), 306-312. http://dx.doi.org/10.18782/2582-2845.8240
• Yang, Z., Gao, C., Zhang, Y., Yan, Q., Hu, W., Yang, L., Wang, Z., & Li, F. (2023). Recent progression and future perspectives in cotton genomic breeding. Journal of Integrative Plant Biology, 65 (2), 548-569. https://doi.org/10.1111/jipb.13388
• Yaqoob, M., Fiaz, S., & Ijaz, B. (2016). Correlation analysis for yield and fiber quality traits in upland cotton. Communications in Plant Sciences, 6 (3-4), 55-60.
• Zhang, J., Percy, R.G., & McCarty, J.C. (2014). Introgression genetics and breeding between Upland and Pima cotton: A review. Euphytica, 198, 1-12. https://doi.org/10.1007/s10681-014-1094-4