Estimation of Genetic Parameters in F3 Segregating Spring Wheat Populations for Yield and Yield Related Traits

Year 2022, Volume: 32 Issue: 1, 1 - 10, 31.03.2022

Fawad Alı , Muhammad Azhar Nadeem , Iftikhar Khalil , Muzaffer Barut , İlker Yüce , Faheem Baloch

https://doi.org/10.29133/yyutbd.886006

Cited By: 2

Abstract

The knowledge about genetic diversity of wheat genotypes is useful for the development of efficient cultivars adapted to diverse conditions. Various genetic parameters like broad-sense heritability, expected selection response, and correlation analysis were estimated among 12 F3 spring wheat populations derived from eight parents. The 20 wheat genotypes exhibited highly significant differences (P≤ 0.01) for all the studied traits. BT4N-11 × Zam-2004 revealed maximum spikes plant-1, while highest spikelets and grains spike-1 were obtained for BTRF-1 × Zam-2004. BTRF-17 × Kohat-2010 and BT6N-5 × Kohat-2010 revealed maximum grain yield and harvest index plant-1, while BTRF-3 × Zam-2004 and BT4N-11 × Kohat-2010 showed maximum 1000-grain weight and biological yield plant-1 among 12 F3 populations. Moderate to high heritability estimates were obtained for all the studied traits among the evaluated 12 F3 populations. Principal component analysis revealed biological yield per plant (0.483), 1000-grain weight (0.586), and harvest index (0.601) as the major variability contributing traits. Correlation analysis for grain yield, biological yield, and 1000-grain weight exposed positive and significant associations among each other and also with other yield contributing traits. Hence, it is concluded that BT4N-11 × Zam-2004, BT4N-11 × Kohat-2010, BT6N-12 × Zam-2004 and BTRF-17 × Kohat-2010 exhibited high estimates of genetic parameters and multivariate analysis coupled with high mean performance for most of the yield traits among 12 F3 populations and therefore, should be further used as F4 populations for possible selection of desirable lines.

Keywords

Diversity, Grain yield, Heritability

Yazlık Buğdayda Verim ve Verim ile İlgili Genetik Parametrelerin F3 Açılan Populasyonlarında Tahmini

Abstract

Çeşitli koşullara adapte olmuş verimli çeşitlerin geliştirilebilmesi için buğday genotiplerinin genetik çeşitliliği hakkında bilgiye sahip olunması yararlıdır. Sekiz ebeveynden elde edilen 12 adet F3 yazlık buğday popülasyonu arasında geniş anlamda kalıtım derecesi, beklenen seleksiyon yanıtı ve korelasyon analizi gerçekleştirilmiştir. 20 adet buğday genotipi incelenen tüm özellikler için oldukça önemli farklılıklar göstermiştir (P≤ 0.01). BT4N-11 × Zam-2004 ile bitki başına en yüksek başak sayısı saptanırken, BTRF-1 × Zam-2004 ile bitki başına en yüksek başakçık sayısı ve bitki başına başakta en yüksek tane sayısı saptanmıştır. BTRF-17 × Kohat-2010 ile bitki başına en yüksek tane verimi ve hasat indeksi elde edilirken, 12 F3 popülasyonu arasında BTRF-3 × Zam-2004 ve BT4N-11 × Kohat-2010 ile en yüksek 1000 dane ağırlığı ve biyolojik verim elde edilmiştir. Değerlendirilen 12 F3 popülasyonu arasında incelenen tüm özellikler için orta ila yüksek kalıtsallık tahminleri elde edilmiştir. Temel bileşen analizi ile bitki başına biyolojik verim (0.483), 1000 tane ağırlığı (0.586) ve hasat endeksi (0.601) önemli varyasyon sağlayan özellikler olarak saptanmıştır. Korelasyon analizi tane verimi, biyolojik verim ve 1000 tane ağırlığı için birbirleri arasında ve ayrıca verime katkıda bulunan diğer özelliklerle pozitif ve anlamlı bir ilişki ortaya koymuştur. Sonuç olarak, BT4N-11 × Zam-2004, BT4N-11 × Kohat-2010, BT6N-12 × Zam-2004 ve BTRF-17 × Kohat-2010 ile üstün genetik parametreler sergilenmekle birlikte, 12 F3 popülasyonu arasındaki verim bileşenlerinin çoğunda iyi bir performansa sahip olduğu ve bu nedenle arzu edilen hatların seçimi için ileriki çalışmalarda ayrıca F4 popülasyonları olarak kullanılabileceği saptanmıştır.

Keywords

Çeşitlilik, Tane verimi, Kalıtsallık

References

• Adnan, M., Muhammad, F., Hussain, Q., Hussain, I., & Ali, F. (2017). Heritability estimates and correlation analysis in bread wheat (Triticum aestivum L.) under normal and late plantings. Pure and Applied Biology, 6, 1151-1160.
• Ahmad, I., Mahmood, N., Khaliq, I., Khan, N., & Secretariat, E. F. (2016). Genetic analysis for five important morphological attributes in wheat (Triticum aestivum L.). Journal of Animal and Plant Sciences, 26, 725-730.
• Ahmad, N., Chowdhry, M.A., Khaliq, I., & Maekawa, M. (2007). The inheritance of yield and yield components of five wheat hybrid populations under drought conditions. Indonesian Journal of Agricultural Science, 8, 53-59.
• Ali, F., Ahmad, S., Ali, J., Tunio, M. A., Afridi, M. S., & Iqbal, T. (2017). Heritability estimates and traits association in wheat advanced lines. International Multidisciplinary Research Journal, 27,13-17.
• Ali, F., Yilmaz, A., Chaudhary, H.J., Nadeem, M. A., Rabbani, M. A., Arslan, Y., Nawaz, M. A., Habyarimana, E., & Baloch, F. S. (2019b). Investigation of Morpho-Agronomic Performance and Selection Indices in the International Safflower Panel for Breeding Perspectives. Turkish Journal of Agriculture and Forestry, 43. doi: 10.3906/tar-1902-49.
• Ali, F., Yılmaz, A., Nadeem, M. A., Habyarimana, E., Subaşı, I., Nawaz, M. A., Chaudhary, H. J., Shahid, M. Q., Ercişli, S., Zia, M. A. B., & Chung, G. (2019a). Mobile genomic element diversity in world collection of safflower (Carthamus tinctorius L.) panel using iPBS-retrotransposon markers. PloS one, 14, p.e0211985.
• Almeselmani, M., Teixeira da Silva, J.A., & Deshmukh, P. (2011). Stability of different physiological characters, yield and yield components under high temperature stress in tolerant and susceptible wheat genotypes. Fruit, Vegetable and Cereal Science and Biotechnology, 5, 86-92.
• Azam, M. S., Mohammad, F., Ahmad, I., Khalil, I. H., Jadoon, S. A., & Nasim, A. (2013). Divergence in F3 segregating bread wheat populations. International Journal of Basic and Applied Sciences,13, 94-99.
• Baloch, F. S., Karaköy, T., Demirbaş, A., Toklu, F., Özkan H., & Hatipoğlu, R. (2014). Variation of some seed mineral contents in open pollinated faba bean (Vicia faba L.) landraces from turkey. Turkish Journal of Agriculture and Forestry, 38, 591-602.
• Chakravorty, A., Ghosh P. & Sahu, P. (2013). Multivariate analysis of phenotypic diversity of landraces of rice of west bengal. American Journal of Experimental Agriculture, 3, 110-123.
• Dutamo, D., Alamerew, S. S., Eticha, F., & Assefa, E. (2015). Genetic variability in bread wheat (Triticum aestivum L.) germplasm for yield and yield component traits. Journal of Biology, Agriculture and Healthcare, 5, 39-46.
• Ejaz-Ul-Hassan, S., & Khaliq, I. (2008). Quantitative inheritance of some physiological traits for spring wheat under two different population densities. Pakistan Journal of Botany, 40, 581-587.
• Farshadfar, E., Poursiahbidi, M. M., & Safavi, S. M. (2013). Assessment of drought tolerance in land races of bread wheat based on resistance/ tolerance indices. International Journal of Advances in Biological and Biomedical Research, 1, 143-158.
• Fehr, W. R. (1993). Principles of cultivar development. Vol. I. Theory and techniques. USA: McMillan Pub. Co.
• Gomez, K. A., & Gomez, A. A. (1984). Statistical procedures for agricultural research. 2nd Edition. New York, USA: John Wiley & Sons.
• Hossain, A., & Teixeira da Silva, J. A. (2013). Wheat production in Bangladesh: its future in the light of global warming. Annals of Botany – Plants, 5, pls042. https://doi: 10.1093/aobpla/pls042.
• Khalil, H. I., & Afridi, N. (2004). Heritability and selection responses for yield and yield associated traits in spring wheat. Sarhad journal of agriculture, 20, 401-404.
• Khan, A. J., Azam, F. & Ali, A. (2010). Relationship of morphological traits and grain yield in recombinant inbred wheat lines grown under drought conditions. Pakistan Journal of Botany, 42, 259-267.
• Khan, A. S., Saleem, I. & Ali, Z. (2003). Heritability of various morphological traits in wheat. International Journal of Agriculture and Biology, 5, 138-140.
• Kumar, N., Markar, S., & Kumar, V. (2014). Studies on heritability and genetic advance estimates in timely sown bread wheat (Triticum aestivum L.). Bioscience Discovery, 5, 64-69.
• Magda, E., & El-Rahman, A. (2013). Estimation of some genetic parameters through generation mean analysis in three bread wheat crosses. Alexandria journal of agricultural research, 58, 183-195.
• Mahmud, I., & Kramer, H. H. (1951). Segregation of yield, height and maturity following soyabean crosses. Agronomy Journal, 43, 605–606.
• Memon, S., Qureshi, M., Ansari, B. A., & Sial, M.A. (2007). Genetic heritability for grain yield and its related characters in spring wheat (Triticum Aestivum L.). Pakistan Journal of Botany, 39, 1503-1509.
• MNFSR. (2017). Ministry of national food security and research, Government of Pakistan Islamabad. http://www.mnfsr.gov.pk/frmDetails.aspx.
• Nadeem, M. A., Habyarimana, E., Çiftçi, V., Nawaz, M. A., Karaköy, T., Comertpay, G., Shahid, M. Q., Hatipoğlu, R., Yeken, M. Z., Ali, F., & Ercişli, S. (2018). Characterization of genetic diversity in Turkish common bean gene pool using phenotypic and whole-genome DArTseq-generated silicoDArT marker information. PloS one, 13, p.e0205363.
• Sial, A. M., Akhter, J., Mirbahar, A. A., Jamali, K. D., Ahmad, N., & Bux, H. (2013). Genetic studies of some yield contributing traits of F2 segregating generation of bread wheat. Pakistan Journal of Botany, 45, 1841-1846.
• Singh, R. K., & Chaudhary, B. D. (1985). Biometrical methods in quantitative genetic analysis. New Delhi, India: Kalyani Publishers.
• Vollmann, J., Grausgruber, H., Stift, G., Dryzhyruk, V., & Lelley, T. (2005). Genetic diversity in Camelina germplasm as revealed by seed quality characteristics and RAPD polymorphism. Plant Breeding, 124, 446-453.
• Vrijendra, S., Deshpande, M. B., Choudhari, S. V., & Nimbkar, N. (2004). Correlation and path coefficient analysis in safflower (Carthamus tinctorius L.). Sesame and Safflower Newsletter, (19).