Root architectural traits and yield stability in popular wheat (Triticum aestivum) varieties of India
278 / 103
Keywords:
Root architecture, Spring wheat varieties, Stability, YieldAbstract
The root system architecture has bearing on realizing the yield potential of genotypes. The 24 popular wheat (Triticum aestivum L.) varieties released during the last 50 years for North Western Plain Zone (NWPZ) of India were used to study root traits and yield contributing traits two years and three locations. Association between the deeper root angles and yield were significant and the number of tillers is also associated with the number and angular distribution of crown roots. There is a relative adjustment in yield attributing and root architectural traits of varieties. The varieties HD3086, PBW502, WH1124, DPW621-50, PBW550 and WH1105 have largely modulated the yield through root traits while, the varieties DBW17, WH1142, HD2967, HD2009 and HD2687 have modulated yield through TGW and tillers along with roots. The other old varieties were modulating yield through aboveground traits only. There were significant genotypic effects for deeper crown root angles, days to heading, and tillers per meter square and thousand-grain weight. WH1080 has the best combination of all the traits. The genotype × environment and environmental effects were significant for other traits. Inclusion of crown root angles, mesocotyl length along with other above-ground traits in selection can help in designing better genotypes for future.
Downloads
References
Alvarado G, López M, Vargas M, Pacheco Á, Rodríguez F. Burgueño J and Crossa J, 2017. META-R (Multi Environment Trail Analysis with R for Windows) Version 6.01. hdl:11529/10201, CIMMYT Research Data & Software Repository Network, V23.
Appels R et al. 2018. Shifting the limits in wheat research and breeding using a fully annotated reference genome. Science 361(6403): eaar7191. https://doi.org/10.1126/science.aar7191 DOI: https://doi.org/10.1126/science.aar7191
Bainsla N K, Yadav R, Sharma R K, Sharma A, Gaikwad K B, Kumar A, Singh V, Vyas P and Sharma Ambika. 2018. Mechanistic understanding of lodging in spring wheat (Triticum aestivum): An Indian perspective. Indian Journal of Agricultural Sciences 88(10): 1483–1495.
Peterson Brian G et al. 2018. Econometric Tools for Performance and Risk Analysis [R package PerformanceAnalytics version 1.5.2]. https://cran.r-roject.org/web/packages/PerformanceAnalytics/index.html
Frutos E, Galindo M P and Leiva V. 2014. An interactive biplot implementation in R for modeling genotype-by-environment interaction. Stochastic Environmental Research and Risk Assessment 28(7): 1629–1641. https://doi.org/10.1007/s00477-013-0821-z DOI: https://doi.org/10.1007/s00477-013-0821-z
Gupta S, Yadav R, Gaikwad K, Kushwah A, Singh A M and Bainsla N K. 2016. Genetic improvement trend analysis for end-use quality characteristics among wheat cultivars of North-Western India. Cereal Research Communications 45 (3). https://doi.org/10.5958/0975-6906.2016.00030.4 DOI: https://doi.org/10.5958/0975-6906.2016.00030.4
Hamada A, Nitta M, Nasuda S, Kato K, Fujita M, Matsunaka H and Okumoto Y, 2012. Novel QTLs for growth angle of seminal roots in wheat (Triticum aestivum L.). Plant and Soil 354(1-2): 395–405. https://doi.org/10.1007/s11104-011-1075-5 DOI: https://doi.org/10.1007/s11104-011-1075-5
Hamam K A, Khaled A and Khaled G A. 2009. Stability of wheat genotypes under different environments and their evaluation under sowing dates and nitrogen fertilizer levels. Australian Journal of Basic and Applied Sciences 3(1): 206–217.
Kazemi H, Chapman S and McNeal F. 1979. Components of genetic variance for root/shoot ratio in spring wheat. (In) Proceedings of 5th International Wheat Genetics Symposium 1979. Indian Society of Genetics and Plant Breeding, Indian Agricultural Research Institute, February 23-28, 1978.
Memon S, Qureshi M, Ansari A and Sial M A. 2007. Genetic heritability for grain yield and its related characters in spring wheat (Triticum aestivum L). Pakistan Journal of Botany 39(5): 1503–1509.
Monyo J and Whittington W. 1970. Genetic analysis of root growth in wheat. Journal of Agricultural Science 74 (2):329–338. DOI: https://doi.org/10.1017/S0021859600022954
https://doi.org/https://doi.org/10.1017/S0021859600022954 Raivo Kolde 2018. CRAN - Package "pheatmap: Pretty Heatmaps"https://cran.r-project.org/web/packages/ pheatmap/index.html
Rajaram S, Ginkel V M and Fischer R A. 1995. CIMMYT’s wheat breeding mega environments (ME). (In) Proceedings of the 8th International Wheat Genetics Symposium, July 19-24, 1993. Beijing, China.
Roychoudhry S and Kepinski S. 2015. Shoot and root branch growth angle control—the wonderfulness of lateralness. Current Opinion in Plant Biology 23:124–131. https://doi.org/10.1016/j. pbi.2014.12.004 DOI: https://doi.org/10.1016/j.pbi.2014.12.004
R-Studio Team 2016. RStudio: Integrated Development for R. RStudio. https://www. rstudio. com/
Sadhu D and Bhaduri P. 1984. Variable traits of root and shoot of wheat. II. Under different cultural conditions and ages. Journal of Agronomy and Crop Science 15(3): 216–224.
Sakhare A S, Kumar S, Kumar R, Bainsla N K, Gaikwad K, Sharma R K and Chinnusamy V. 2019. A facile and cheaper method to measure root angle of rice and wheat. Indian Journal of Agricultural Sciences 89: 934–939.
Trethowan R and Crossa J. 2007. Lessons learnt from forty years of international spring bread wheat trials. Euphytica 157: 385–390. https://doi.org/10.1007/s10681-006-9330-1 DOI: https://doi.org/10.1007/s10681-006-9330-1
Uga Y, Sugimoto K, Ogawa S, Rane J and Ishitani M. 2013. Control of root system architecture by DEEPER ROOTING 1 increases rice yield under drought conditions. Nature Genetics 45 (9). DOI: https://doi.org/10.1038/ng.2725
Waisel Y, Eshel A and Kafkafi U. (Eds.), 2002. Plant roots: The Hidden Half, 3rd ed. Marcel Dekker Inc., New York. DOI: https://doi.org/10.1201/9780203909423
Yadav R, Singh S S, Jain N, Singh G P and Prabhu K V. 2010. Wheat production in India: Technologies to face future challenges. Journal of Agricultural Science 2 (2). DOI: https://doi.org/10.5539/jas.v2n2p164
Zadok J C, Chang T T and Konzak C F. 1974. A decimal code for the growth stages of cereals. Weed Research 14(6): 415–421. https://doi.org/10.1111/j.1365-3180.1974.tb01084.x DOI: https://doi.org/10.1111/j.1365-3180.1974.tb01084.x
Downloads
Submitted
Published
Issue
Section
License
Copyright (c) 2020 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.