Exploring the physiological efficiencies of promising rice (Oryza sativa) accessions for increasing grain yield

BABYRANI PANDA; SUSHANTA K DASH; SUBHANKAR MONDAL; JEETENDRA SENAPATY; MANASI DASH; KAILASH C SAMAL; CHITTA R SAHOO; KOUSHIK CHAKRABORTY

doi:10.56093/ijas.v93i11.140727

Authors

BABYRANI PANDA ICAR-National Rice Research Institute, Cuttack, Odisha 753 006, India
SUSHANTA K DASH ICAR-National Rice Research Institute, Cuttack, Odisha 753 006, India
SUBHANKAR MONDAL ICAR-National Rice Research Institute, Cuttack, Odisha 753 006, India
JEETENDRA SENAPATY ICAR-National Rice Research Institute, Cuttack, Odisha 753 006, India
MANASI DASH Odisha University of Agriculture and Technology, Bhubaneswar, Odisha
KAILASH C SAMAL Odisha University of Agriculture and Technology, Bhubaneswar, Odisha
CHITTA R SAHOO Odisha University of Agriculture and Technology, Bhubaneswar, Odisha
KOUSHIK CHAKRABORTY ICAR-National Rice Research Institute, Cuttack, Odisha 753 006, India

https://doi.org/10.56093/ijas.v93i11.140727

Keywords:

Grain yield, New generation rice, Photosynthetic rate, Physiological efficiency

Abstract

High grain yield in rice (Oryza sativa L.) is a cumulative contribution of different morphological and physiological traits. However, the selection of high-yielding genotypes based on physiological traits is difficult where a large set of genotypes is used. Therefore, a study was carried out during rainy (kharif) seasons of 2019 and 2020 at research farm of ICAR-National Rice Research Institute, Cuttack, Odisha to assess the physiological efficiency of 211 elite rice genotypes having varying yield potential. The elite genotypes were classified into high, medium, and low categories based on their field performance. The results revealed that 29, 41, 34, 31, 49, 35, 39, 29, and 30 genotypes showing high values for FLA (>51.51 cm²), TCC (>3.99 mg/g fresh weight), PN (>20.79), gs (>0.97), E (>9.03), TB (>15.95 t/ ha), GY (>6.27 t/ha), PR (>0.29 kg/cm), and CS (>42.12 g/stem) respectively. Among them, 3 genotypes i.e. IG-020, IG-211 and IG-010 were identified to be highly efficient in 4 traits, 2 genotypes i.e., IG-044 and IG-186 in 5 traits, and 2 genotypes; IG-008 and IG-161 were found to be superior in 7 traits along with high grain yield. The selection of these genotypes with superior morphological and physiological traits could be beneficial in the breeding programme in terms of increasing yield potential in rice.

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References

Arnon D I. 1949. Copper enzymes in isolated chloroplasts polyphenoloxidase in Beta vulgaris. Plant Physiology 24: 1–15. DOI: https://doi.org/10.1104/pp.24.1.1

Dash S K, Swain P, Bose L, Sah R, Chakraboty M, Umakanta N, Chakraborty K, Azharudheen M T P, Lenka S, Subudhi H N, Meher J, Sarkar S, Anandan A, Kar M, Munda S, Pradhan S K, Behera L and Singh O N. 2018. New generation rice for breaking yield ceiling. Rice Research for Enhancing Productivity, Profitability and Climate Resilience, pp. 160–79. H Pathak, A K Nayak, M Jena, O N Singh, P Samal and S G Sharma (Eds.). ICAR-National Rice Research Institute, Cuttack, Odisha.

FAO. 2018. Rice market monitor. Food and Agriculture Organization, United Nation XXI (1).

Gill H S, Singh A, Sethi S K and Behl R K. 2004. Phosphorus uptake and use efficiency in different varieties of bread wheat (Triticum aestivum L). Archives of Agronomy and Soil Science 50(6): 563–72. DOI: https://doi.org/10.1080/03650340410001729708

Gu J, Yin X, Stomph T J and Struik P C. 2014. Can exploiting natural genetic variation in leaf photosynthesis contribute to increasing rice productivity? A simulation analysis. Plant Cell Environ 37: 22–34. DOI: https://doi.org/10.1111/pce.12173

Hai L, Guo H, Xiao S, Jiang G, Zhang X and Yan C. 2005. Quantitative trait loci (QTL) of stem strength and related traits in a doubled-haploid population of wheat (Triticum aestivum L.). Euphytica 141: 1–9. DOI: https://doi.org/10.1007/s10681-005-4713-2

Haritha G, Vishnukiran T, Rao Y V, Gowthami C, Divya B, Sarla N and Subrahmanyam D. 2019. Characterization of Oryza nivara introgression lines: A potential prebreeding resource to improve net photosynthetic rate in elite cultivars of rice. Photosynthetica 57(1): 47–60. DOI: https://doi.org/10.32615/ps.2019.003

Irfan M, Shah J A and Abbas M. 2017. Evaluating the performance of mung bean genotypes for grain yield, phosphorus accumulation and utilization efficiency. Journal of Plant Nutrition 40(19): 2709–20. DOI: https://doi.org/10.1080/01904167.2017.1381718

Kalyan B, Krishna K R and Rao L S. 2017. Path coefficient analysis for yield and yield contributing traits in rice (Oryza sativa L.) genotypes. International Journal of Current Microbiology and Applied Sciences 6(7): 2680–87. DOI: https://doi.org/10.20546/ijcmas.2017.607.377

Kashiwagi T and Ishimaru K. 2004. Identification and functional analysis of a locus for improvement of lodging resistance in rice. Plant Physiology 134: 676–83. DOI: https://doi.org/10.1104/pp.103.029355

Laza R C, Peng S, Akita S and Saka H. 2003. Contribution of biomass partitioning and translocation of grain yield under sub- optimum growing conditions in irrigated rice. Plant Production Science 6: 28–35. DOI: https://doi.org/10.1626/pps.6.28

Lin W, Guo X, Pan X and Li Z. 2018. Chlorophyll composition, chlorophyll fluorescence, and grain yield change in esl mutant rice. International Journal of Molecular Sciences 19(10): 2945. DOI: https://doi.org/10.3390/ijms19102945

Mohanty A, Chakraborty K, Mondal S, Jena P, Panda R K, Samal K C and Chattopadhyay K. 2023. Relative contribution of ion exclusion and tissue tolerance traits govern the differential response of rice towards salt stress at seedling and reproductive stages. Environmental and Experimental Botany 206: 105131. DOI: https://doi.org/10.1016/j.envexpbot.2022.105131

Onfri A. 2007. Routine statistical analyses of field experiment by using an excel extension. (In) Proceedings of 6th National Conference, Italian Biometric Society, Pisa, 20–22 June 2007, pp. 93–96.

Panda B, Mondal S, Mohanty A, Senapaty J, Meher J, Sahoo C R, Samal K C, Dash M, Chakraborty K and Dash S K. 2023. Exploring the physiological basis of yield enhancement in new generation rice (NGR): A comparative assessment with non-NGR rice genotypes. Plant Physiology Reports. https://doi.org/10.1007/s40502-023-00745-5 DOI: https://doi.org/10.1007/s40502-023-00745-5

Qu M, Zheng G, Hamdani S, Essemine J, Song Q, Wang H, Chu C, Sirault X and Zhua X G. 2017. Leaf photosynthetic parameters related to biomass accumulation in a global rice diversity survey. Plant Physiology 175: 248–58. DOI: https://doi.org/10.1104/pp.17.00332

Saju S M and Thavaprakaash N. 2020. Dry-matter partitioning and nutrient uptake of rice (Oryza sativa L.) under modified system of rice intensification. Madras Agricultural Journal 107(march (1-3): 1. DOI: https://doi.org/10.29321/MAJ.2020.000340

Singh A L, Nakar R N, Chakraborty K and Kalariya K A. 2014. Physiological efficiencies in mini-core peanut germplasm accessions during summer season. Photosynthetica 52(4): 627–35. DOI: https://doi.org/10.1007/s11099-014-0072-3

Tuhina-Khatun M, Hanafi M M, Rafii Yusop M, Wong M Y, Salleh F M and Ferdous J. 2015. Genetic variation, heritability, and diversity analysis of upland rice (Oryza sativa L.) genotypes based on quantitative traits. BioMed Research International 2015: 1–7. DOI: https://doi.org/10.1155/2015/290861

Wu W G, Zhang H C, Qian Y F, Cheng Y, Wu G C, Zhai C Q and Dai Q G. 2008. Analysis on dry matter production characteristics of super hybrid rice. Rice Science 15: 110–18. DOI: https://doi.org/10.1016/S1672-6308(08)60028-1