Cane productivity and attributes, and yield gaps of different sugarcane (Saccharum officinarum) varieties in south-western Punjab, India


211 / 93

Authors

  • AMARJEET SINGH SANDHU Farm Advisory Service Centre, Bathinda, Punjab 151 001, India
  • PRITPAL SINGH Farm Advisory Service Centre, Bathinda, Punjab 151 001, India
  • NAVNEET KAUR Farm Advisory Service Centre, Bathinda, Punjab 151 001, India

https://doi.org/10.56093/ijas.v95i2.132881

Keywords:

Cane productivity, Soil salinity, Sugarcane varieties, Yield contributing attributes, Yield gap

Abstract

Sugarcane (Saccharum officinarum L.) varieties differ significantly for agronomic attributes which affect their yield potential in response to management practices. The present study was carried out during 2020–21 and 2021–22 at four different locations in Bhatinda (Sukha Singh Wala, Bhai Roopa, Dayalpura Mirza and Mehta villages), Punjab to investigate the variation in agronomic attributes of three early maturing (Co J-85, Co J-64, Co Pb-96) and two late maturing (Co Pb-98 and Co J-88) sugarcane varieties at four different locations. These results revealed that variety Co Pb-98 outperformed with significantly (P<0.05) higher cane height (23.8%), stalk diameter (17.9%), number of tillers/plant (34.4%), stalk height (22.8%), number of internodes (26.7%) and internode length (42.9%) over Co J-64, which contribute towards cane productivity. The cane productivity exhibited a linear significant relationship with single cane weight (R2=0.753; P<0.05). These results revealed existence of yield gaps of 2.9-8.9 Mg/ha over the state average yield; the highest for Co J-85 (~207%) than the Co Pb-98 variety. Regardless of the sugarcane variety, a significantly higher single cane weight (17.1%) and cane productivity (11.1%) at Dayalpura Mirza as compared to at Sukha Singh Wala showed that high soil salinity was responsible for decreased cane productivity.

Downloads

Download data is not yet available.

References

Anonymous. 2022. Package of Practices for Crops of Punjab. Punjab Agricultural University, Ludhiana, Punjab.

Aqiuno G S, Medina C C, Costa D C, Shahab M and Santiago A D. 2017. Sugarcane straw management and its impact on production and development of ratoons. Industrial Crops and Products 102: 58–64. DOI: https://doi.org/10.1016/j.indcrop.2017.03.018

Chaudhary R R and Joshi B K. 2005. Correlation and path coefficient analysis in sugarcane. Nepal Agricultural Research Journal 6: 24–27.

Cheema H S and Singh B. 1991. Software Statistical Package CPCS-I. Department of Statistics, Punjab Agricultural University, Ludhiana, Punjab, India.

Ellail A, Gadallah A F I and Gamal H E. 2020. Genetic variance and performance of five sugarcane varieties for physiological, yield and quality traits influenced by various harvest age. Journal of Plant Production Mansoura University 11: 429–38. DOI: https://doi.org/10.21608/jpp.2020.102763

FAO. 2016. Food and Agriculture Organization of the United Nations (FAO), FAOSTATS.

Gomathi R and Thandapani P V. 2004. Sugar metabolism and carbon partitioning of sugarcane genotypes under salinity stress condition. Sugar Tech 6: 151–58. DOI: https://doi.org/10.1007/BF02942716

Kashyap L, Sanghera G S and Anuradha. 2019. Effect of variety and season on cane yield and quality traits in sugarcane (Saccharum spp. Hybrid complex) under subtropical conditions. Research Journal of Agricultural Sciences 10: 8–12.

Kaur G, Rajni and Sivia J S. 2024. Integrating data envelopment analysis and machine learning approaches for energy optimization, decreased carbon footprints, and wheat yield prediction across north-western India. Journal of Soil Science Plant Nutrition 24: 1424–47. https://doi.org/10.1007/s42729-024-01647-7 DOI: https://doi.org/10.1007/s42729-024-01647-7

Khan M A, Keerio H K, Junejo S, Panhwar R N, Rajput M A and Qazi B R. 2003. Evaluation of new sugarcane genotypes developed through fuzz correlation of cane yield and yield components. Journal of Applied Sciences 3: 270–73. DOI: https://doi.org/10.3923/jas.2003.270.273

Liu D L and Bull T A. 2001. Simulation of biomass and sugar accumulation in sugarcane using a process-based model. Ecological Modelling 144(2–3): 181–211. DOI: https://doi.org/10.1016/S0304-3800(01)00372-6

Raman K, Bhat S R and Tripathi B K. 1985. Ratooning ability of sugarcane genotypes under late harvest conditions. Indian Sugar 35: 445–48.

Ramdoyal K. 1999. Genetic correlation and repeatability of agronomic characters in sugarcane population in contrasting environment and different crop years. Sugarcane 4: 6–12.

Saini S P, Sidhu A S and Singh P. 2012. Crop yield, efficiency and economics of autumn and spring sown single bud sugarcane intercropped with pulse crops. International Journal of Forestry and Crop Improvement 3(2): 60–65.

Sanghera G S, Tyagi V, Kumar R and Thind K S. 2014. Selection indices for earliness yield and quality traits in sugarcane for sub-tropical region of India. (In) International Conference on “Crop Productivity and Sustainability-Shaping the Future, Baba Farid Group of Institution Bathinda, pp. 31–34.

Singh A, Singh P and Mahajan M. 2023a. Agronomic and biochemical quality attributes and economic indices of sugarcane (Saccharum officinarum L.) cultivation in saline vis-a-vis non-saline soils of south-western Punjab, India. The Indian Journal of Agricultural Sciences 93(1): 106–09. https:// doi.org/10.56093/ijas.v93i1.130246 DOI: https://doi.org/10.56093/ijas.v93i1.130246

Singh A, Singh P and Mahajan M. 2023b. Net primary production, biochemical composition and economics of sugarcane (Saccharum officinarum L.) cultivation in saline and non-saline soils of south-western Punjab, India. International Journal of Plant Production 17(3): 557–77. https://doi.org/10.1007/ s42106-023-00248-1 DOI: https://doi.org/10.1007/s42106-023-00248-1

Singh G, Singh P and Sodhi G P S. 2018. Status of crop management practices for rice and basmati cultivation in south-western Punjab. Journal of Community Mobilization and Sustainable Development 13: 457–62.

Singh P and Saini S P. 2011. Effect of rice straw mulching and irrigation intervals on sugarcane (Saccharum officinarum) yield and water productivity in sub-tropics of Punjab. Crop Research 41: 88–93.

Singh P, Pathak S K, Singh M M, Mishra V and Sharma B L. 2017. Impact of high sugar early maturing varieties for sustainable sugar production in sub-tropical India. Sugarcane Technology 19(4): 368–72. DOI: https://doi.org/10.1007/s12355-016-0477-3

Singh P, Singh G and Sodhi G P S. 2019a. Energy auditing and optimization approach for improving energy efficiency of rice cultivation in south-western Punjab. Energy 174: 169–79. https://doi.org/10.1016/j.energy.2019.02.169 DOI: https://doi.org/10.1016/j.energy.2019.02.169

Singh P, Singh G and Sodhi G P S. 2019b. Applying DEA optimization approach for energy auditing in wheat cultivation under rice-wheat and cotton-wheat cropping systems in north- western India. Energy 181: 18–28. https://doi.org/10.1016/j.energy.2019.05.147 DOI: https://doi.org/10.1016/j.energy.2019.05.147

Singh R K and Singh D N. 2004. Evaluation of early sugarcane varieties for sustaining high sugar recovery in Uttar Pradesh. Cooperative Sugar 31: 797–804.

Sohu I A, Memon A H and Abro B A. 2008. Performance of sugarcane varieties in comparison with commercial varieties. Life Sciences: An International Journal 2: 760–64.

Tyagi V K, Sharma S and Bhardwaj S B. 2011. A study on the nature and magnitude of variations in different traits in sugarcane. Electronic Journal of Plant Breeding 2: 334–41.

Wiegand C L, Escobar D E and Lingle S E. 1996. Growth and yield responses of sugarcane to saline soils: I. Sensing and mapping using aerial videography. (In) Proceedings of International American Sugarcane Seminar, pp. 15–17.

Downloads

Submitted

2023-02-03

Published

2025-02-17

Issue

Section

Articles

How to Cite

SANDHU, A. S. ., SINGH, P. ., & KAUR, N. . (2025). Cane productivity and attributes, and yield gaps of different sugarcane (Saccharum officinarum) varieties in south-western Punjab, India. The Indian Journal of Agricultural Sciences, 95(2), 167–172. https://doi.org/10.56093/ijas.v95i2.132881
Citation