Field evaluation of genotypes and identification of traits for selection of nitrogen use efficient stable sugarcane (Saccharum Spp. hybrids) clones
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Authors
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Kuldeep Singh
Punjab Agricultural University
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Vikrant Singh
Punjab Agricultural University
https://orcid.org/0000-0002-1821-7465
Keywords:
GGE Biplot; NUE; Regressions; Stability; SugarcaneAbstract
Sugarcane has high nitrogen (N) requirement that normally exceeds the inherent capacity of soil to supply via mineralization. Moreover, long term N fertilization dose also contribute to artificial soil acidification, and eutrophication of surface and ground water. So, in order to identify nitrogen use efficient (NUE) genotypes and its contributing traits, 36 sugarcane genotypes (28 advanced lines + 8 cultivars) were analyzed for cane yield, CCS %, CCS t/ha and their contributing traits by growing them under N0 and N150 environments over two years at Faridkot, India. Significant differences were observed due to genotypes, nitrogen environments and their interactions with major effects on agro-morphological traits along with minor effects on quality traits. Inverse and counteracting relationships were observed between cane yield t/ha and CCS % along with their independent contributing traits. The results of the 'Eberhart and Russell Model' and 'Genotype + Genotype x Environment (GGE) Biplot' analysis were in accordance to each other; but Eberhart and Russell's model was more appropriate for judging the genotype(s) to environment specificity/adaptation while GGE Biplot was observed as the best approach to evaluate the environments for their discriminating power to genotypes as well as to find the most stable /ideal genotype(s) for a wide range of concerned environment and as well specific to a particular environment. The genotype namely F 194/10 was identified as most stable as well as NUE clone.
References
Anas M., Verma K.K., Riaz M., Qiang L., Liao F., Liu Y., Li Y.R. 2021. Physio-morphological and biochemical mechanism of nitrogen use efficiency in sugarcane (Saccharum spp.) genotypes under different growth stages and nitrogen levels. Journal of Plant Interactions, 16(1): 332–343.
https://doi.org/10.1080/ 17429145.2021.1933224.
Anderson DL, Bowen JE. 1990. Sugarcane Nutrition. Potash and Phosphate Institute, Atlanta, Georgia
Anonymous 2017. Package of Practices for Kharif Crops. Punjab Agricultural University, Ludhiana, pp. 72-89.
Bell MJ, Moody P, Salter B, Connellan J, Garside AL 2014. Agronomy and physiology of nitrogen use in Australian sugarcane crops. Final report in a review of nitrogen use efficiency in sugarcane. Indooroopilly, Sugar Research Australia Ltd. http:// hdl.handle.net/11079/14735.
Chen XP, Cui ZL, Fan MS, et al. 2014. Producing more grain with lower environmental costs. Nature 514: 486–489. doi: 10.1038/nature13609.
Das UK. 1936. Nitrogen nutrition of sugarcane. Plant Physiology 11: 251-317.
Eberhart SA, Russell WA. 1966. Stability parameters for comparing varieties. Crop Science 6: 36-40.
Gupta AP. 1977. Method for assessment of sugarcane quality. Indian Sugar Crops Journal 4: 87-88.
Han M, Okamoto M, Beatty PH, Rothstein SJ, Good AG. 2015. The Genetics of nitrogen use efficiency in crop plants. Annual Review of Genetics 49: 269-89. doi: 10.1146/annurev-genet-112414-055037.
Hirel B, Tetu T, Lea P, et al. 2011. Improving nitrogen use efficiency in crops for sustainable agriculture. Sustainability 3(9): 1452-1485.
IASRI. 2012. SPAR 2.0 for Windows. Statistical package for agricultural research, IASRI, Library Avenue, Pusa, New Delhi, India, 110012.
IBM Corp. 2013. IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY: IBM Corp. 143–153. doi: 10.1016/0378-4290(96) 00022-6.
Meade GP, Chen JCP. 1977. Cane Sugar Hand Book. Edn. 10. John Wiley & Sons, New York.
Muchow RC, Robertson MJ. 1994. Relating crop nitrogen uptake to sugarcane yield. Proceedings of the Australian Society of Sugar Cane Technologists 16: 122-130.
Muchow RC, Robertson MJ, Wood AW, Keating BA. 1996. Effect of nitrogen on the timecourse of sucrose accumulation in sugarcane. Field Crops Research 47: 143–153. doi: 10.1016/0378-4290(96) 00022-6.
PBTools, version 1.4. 2014. Biometrics and Breeding Informatics, PBGB Division, International Rice Research Institute, Los Baños, Laguna.
Robinson N, Brackin R, Vinall K, Soper F, Holst J, Gamage H, et al. 2011. Nitrate paradigm does not hold up for sugarcane. PloS ONE 6(4): e19045. doi: 10.1371/journal.pone. 0019045
Robinson N, Schmidt S, Lakshmanan P. 2014. Genetic improvement of nitrogen use efficiency in sugarcane. Final report in a review of nitrogen use efficieny in sugarcane. Indooroopilly, Sugar Research Australia Ltd. http://hdl.handle.net/ 11079/14735.
Salter B, Bonnet GD. 2000. High soil nitrate concentrations during autumn and winter increase suckering. Proceedings of the Australian Society of Sugar Cane Technologists 22: 322-327.
Singh K, Mishra SK, Singh V. 2019. Sugarcane and wheat productivity under different cropping systems. Sugar Tech 21(3): 415–420.
Singh V, Bhajan C. 2017. Evaluation of Indian mustard genotypes to heat stress in irrigated environment – seed yield stability and physiological model. Journal of Crop Science and Biotechnology 19: 333–339. https://doi.org/10.1007/s12892-016- 0142-0.
Stanford G. 1963. Sugarcane quality and nitrogen fertilisation. Hawaiian Planters Records 56: 289-333.
Van Reeuwijk L. 2002. Procedures for soil analysis. 6th Edition, ISRIC, FAO, Wageningen.
Wood RA. 1968. Nitrogen fertiliser use for cane. South African Sugar Journal 52: 3-15.
Yan W. 2001. GGE biplot - A Windows application for graphical analysis of multi-environment trial data and other types of two-way data. Agronomy Journal 93: 1111-1118.
Yan W. 2002. Singular-value partition for biplot analysis of multi-environment trial data. Agronomy Journal 94: 990–996.
Yan W, Kang MS, 2003. GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists and Agronomists. 1st Edn., CRC Press, Boca Raton, FL., USA., ISBN-13: 9781420040371, pp. 288.
Yan W, Glover KD, Kang MS. 2010. Comment on “biplot analysis of genotype×environment interaction: Proceed with caution”. Crop Science 50: 1121-1123
Yan W, Hunt LA, Sheng Q, Szlavnics Z. 2000. Cultivar evaluation and mega-environment investigation based on GGE biplot. Crop Science 40: 596-605.
Yan W, Kang MS, Ma B, Woods S, Cornelius PL. 2007. GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Science 47: 643-655.
Zoble RW, Wright MJ, Gauch HG. 1988. Statistical analysis of a yield trial. Agronomy Journal 80: 388-393.
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