Evaluation of synthetic hexaploid wheat (Triticum aestivum) derived RILs for kernel traits
454 / 368 / 95
Keywords:
Kernel size, Kernel length, Synthetic hexaploid wheat, TKW, Yield potentialAbstract
In bread wheat (Triticum aestivum L.), kernel parameters are significant grain quality characteristics that affect yield and milling quality as well as market price. Utilization of synthetic hexaploid donor to harness the diverse alleles for broadening the genetic base is a novel breeding strategy of the bread wheat breeding programs across the globe. An experiment was conducted during winter (rabi) season 2017–18 and 2018–19 at the research farm of ICAR-Indian Agricultural Research Institute, New Delhi to evaluate 188 recombinant inbred lines (RILs) which were derived from HD 2932 (Indian bread wheat cultivar) and Synthetic 46 (Syn 46: Synthetic hexaploid donor) to identify the effect of the synthetic hexaploid donor on kernel parameters. Kernel parameters like kernel length (KL), kernel width (KW), kernel thickness (KT) and thousand kernel weight (TKW) were studied. Syn 46 had larger kernels and a high TKW with respect to HD 2932. Significant variation for all the traits was observed in the population with transgressive segregants. In this RILs population (188) KL ranged from 5.13–7.5 mm, KW ranged of 2.26–3.9 mm, KT ranged from 2.57–3.41 mm, and of TKW ranged from 25.2–53.17 g. Correlation analysis showed a significant positive correlation of TKW with KL and KT. Potential RILs identified with desirable allelic combinations may be used for future breeding programs, and RILs with contrasting kernel parameters may be used to create nested RILs for further generation of variability.
Downloads
References
Botwright T L, Condon A G, Rebetzke G J and Richards R A. 2002. Field evaluation of early vigour for genetic improvement of grain yield in wheat. Australian Journal of Agricultural Research 53: 1137–45. DOI: https://doi.org/10.1071/AR02007
Breseghello F and Sorrells M E. 2006. Association mapping of kernel size and milling quality in wheat (Triticuma estivum L.) cultivars. Genetics 172: 1165–77. DOI: https://doi.org/10.1534/genetics.105.044586
Cui F, Ding A M, Li J, Zhao C H, Li X F, Feng D S, Wang X Q, Wang L, Gao J R and Wang H G. 2011. Wheat kernel dimensions: how do they contribute to kernel weight at an individual QTL level?. Journal of Genetics 90: 409–25 DOI: https://doi.org/10.1007/s12041-011-0103-9
Cui F, Zhao C, Ding A, Li J, Wang L, Li X, Bao Y, Li J and Wang H. 2014. Construction of an integrative linkage map and QTL mapping of grain yield-related traits using three related wheat RIL populations. Theoretical and Applied Genetics 127(3): 659–75 DOI: https://doi.org/10.1007/s00122-013-2249-8
Dholakia B B, Ammiraju J S S, Singh H, Lagu M D, Roder M S and Setal R V. 2003. Molecular marker analysis of kernel size and shape in bread wheat. Plant Breeding 122: 392–95. DOI: https://doi.org/10.1046/j.1439-0523.2003.00896.x
Kilian B, Martin W and Salamini F. 2010. Genetic diversity, evolution and domestication of wheat and barley in the Fertile Crescent. Evolution in Action, Vol. 1, pp. 137–66. Glaubrecht M. (Eds). Springer, Berlin, Heidelberg. DOI: https://doi.org/10.1007/978-3-642-12425-9_8
Li J, Wan H S and Yang W Y. 2014. Synthetic hexaploid wheat enhances variation and adaptive evolution of bread wheat in breeding processes. Journal of Systematics and Evolution 52(6): 735–42. DOI: https://doi.org/10.1111/jse.12110
Li A, Liu D, Yang W, Kishii M and Mao L. 2018. Synthetic hexaploid wheat: yesterday, today and tomorrow. Engineering 4: 552–58. DOI: https://doi.org/10.1016/j.eng.2018.07.001
Morgan B C, Dexter J E and Preston K R. 2000. Relationship of kernel size to flour water absorption for canada western red spring wheat. Cereal Chemistry 77: 286–92. DOI: https://doi.org/10.1094/CCHEM.2000.77.3.286
Mondal S, Rutkoski J E, Velu G, Singh P K, Crespo-Herrera L A, Guzman C, Bhavani S, Lan C, He X and Singh R P. 2016. Harnessing diversity in wheat to enhance grain yield, climate resilience, disease and insect pest resistance and nutrition through conventional and modern breeding approaches. Frontiers in plant science 6(7): 991. DOI: https://doi.org/10.3389/fpls.2016.00991
Ramya P, Chaubal A, Kulkarni K, Gupta L, Kadoo N, Dhaliwal H, Chhuneja P M and Gupta L V. 2010. QTL mapping of 1000-kernel weight, kernel length, and kernel width in bread wheat (Triticum aestivum L.). Journal of Applied Genetics 51: 421–29. DOI: https://doi.org/10.1007/BF03208872
Reif J C, Gowda M, Maurer H P, Longin C F, Korzun V, Ebmeyer E, Bothe R, Pietsch C and Wurschum T. 2011. Association mapping for quality traits in soft winter wheat. Theoretical and Applied Genetics 122(5): 961–70. DOI: https://doi.org/10.1007/s00122-010-1502-7
Rosyara U, Kishii M, Payne T, Sansaloni C P, Singh R P, Braun H J and Dreisigacker S. 2019. Genetic contribution of synthetic hexaploid wheat to CIMMYT's spring bread wheat breeding germplasm. Scientific Reports 9(1): 12355. DOI: https://doi.org/10.1038/s41598-019-47936-5
Sun X Y, Wu K, Zhao Y, Kong F M, Han G Z, Jiang H M, Huang X J, Li R J, Wang H G and Li S S. 2009. QTL analysis of kernel shape and weight using recombinant inbred lines in wheat. Euphytica 165: 615–24 DOI: https://doi.org/10.1007/s10681-008-9794-2
Williams K, Munkvold J and Sorrells M. 2013. Comparison of digital image analysis using elliptic fourier descriptors and major dimensions to phenotype seed shape in hexaploid wheat (Triticum aestivum L.). Euphytica 190: 99–116 DOI: https://doi.org/10.1007/s10681-012-0783-0
Yang W, Liu D, Li J, Zhang L, Wei H, Hu X, Zheng Y, He Z and Zou Y. 2009. Synthetic hexaploid wheat and its utilization for wheat genetic improvement in China. Journal of Genetics and Genomics 36(9): 539–46. DOI: https://doi.org/10.1016/S1673-8527(08)60145-9
Downloads
Submitted
Published
Issue
Section
License
Copyright (c) 2022 The Indian Journal of Agricultural Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The copyright of the articles published in The Indian Journal of Agricultural Sciences is vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR.