Karuppunel: A promising donor for high zinc content in rice (Oryza sativa) grain

HARITHA BOLLINEDI; C N NEERAJA; KRISHNENDU CHATTOPADHYAY; GIRISH CHANDEL; H E SHASHIDHAR; JEYA PRAKASH; ASHOK KUMAR SINGH; S R VOLETI; R M SUNDARAM

doi:10.56093/ijas.v92i10.117906

Authors

HARITHA BOLLINEDI ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
C N NEERAJA ICAR-Indian Institute of Rice Research, Hyderabad, Telangana
KRISHNENDU CHATTOPADHYAY ICAR-National Rice Research Institute, Cuttack, Orissa
GIRISH CHANDEL Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh
H E SHASHIDHAR Plant Breeding and Biotechnology College of Agriculture, University of Agricultural Sciences, Bengaluru, Karnataka
JEYA PRAKASH Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu
ASHOK KUMAR SINGH ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
S R VOLETI ICAR-Indian Institute of Rice Research, Hyderabad, Telangana
R M SUNDARAM ICAR-Indian Institute of Rice Research, Hyderabad, Telangana

https://doi.org/10.56093/ijas.v92i10.117906

Keywords:

Biofortification, Donor for high zinc, Environments, G × E interactions, Rice genotypes

Abstract

Complex inheritance of high iron (Fe) and zinc (Zn) traits in polished grains, coupled with large genotype (G) × environment (E) interaction components are major challenges for rice biofortification programmes. Understanding such G × E interactions through multi-location trials and quantifying their magnitude using appropriate statistical models is the major pre-requisite in identification of stable donors for micronutrient traits for development of nutrient rich varieties. In the present study, we evaluated a set of 28 rice genotypes for Fe, Zn and key agronomical traits during wet season 2017 in 5 diverse environments in India. Combined analysis of variance revealed significant main effects due to genotypic, environmental and G × E interaction effects. Grain Fe showed maximum contribution from the effect of the genotype while in case of Zn, it was influenced significantly by environmental effect. Mega-environments were identified for stable evaluation of genotypes for Zn and Fe content, based on GGE biplot analysis. Yield stability index identified the genotype, G14 (Karuppunel) to be superior for grain Zn content (41.1 ppm) with high mean performance and high stability across the environments followed by the genotypes G4 (Taraori Basmati), G18, G25 (Tilakasturi and IC36704) and G2 (Edavankudipokkali). The findings from the study have significant implications for the development of high grain Zn containing rice varieties, so that the hidden hunger can be addressed in the right perspective.

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References

Amiri R, Bahraminejad S, Sasani S, Jalali-Honarmand S and Fakhri R. 2015. Bread wheat genetic variation for grain’s protein, iron and zinc concentrations as uptake by their genetic ability. European Journal of Agronomy 67: 20–26. DOI: https://doi.org/10.1016/j.eja.2015.03.004

Anuradha A, Surekha, Batchu A K, Babu A P, Mallikarjuna Swamy B, Longvah T and Sarla N. 2012. Evaluating rice germplasm for iron and zinc concentration in brown rice and seed dimensions. Journal of Phytology 4: 19–25.

Babarmanzoor A, Tariq M, Ghulam A and Muhammad A. 2009. Genotype × environment interaction for seed yield in Kabuli Chickpea (Cicer arietinum L.) genotypes developed through mutation breeding. Pakistan Journal of Botany 41: 1883–90.

Bashir E M, Ali A M, Ali A M, Ismail M I, Parzies H K and Haussmann B I. 2014. Patterns of pearl millet genotype-by-environment interaction for yield performance and grain iron (Fe) and zinc (Zn) concentrations in Sudan. Field Crops Research 166: 82–91. DOI: https://doi.org/10.1016/j.fcr.2014.06.007

Bashir K, Takahashi R, Nakanishi H and Nishizawa N K. 2013. The road to micronutrient biofortification of rice: progress and prospects. Fronters in Plant Science 4: 15. Bouis H E, Saltzman A and Birol E. 2019. Improving nutrition through biofortification. Agriculture for improved nutrition: seizing the momentum 47. DOI: https://doi.org/10.1079/9781786399311.0047

De Mendiburu F and Simon R. 2015. Agricolae-Ten years of an open source statistical tool for experiments in breeding, agriculture and biology (No. e1748). PeerJ PrePrints. DOI: https://doi.org/10.7287/peerj.preprints.1404v1

Dixit S, Singh U M, Abbai R, Ram T, Singh V K, Paul A, Virk P and Kumar A. 2019. Identification of genomic region(s) responsible for high iron and zinc content in rice. Scientific Reports 9: 1–8. DOI: https://doi.org/10.1038/s41598-019-43888-y

Farshadfar E. 2008 Incorporation of AMMI stability value and grain yield in a single non-parametric index (GSI) in bread wheat. Pakistan Journal of Biological Sciences 11: 1791. DOI: https://doi.org/10.3923/pjbs.2008.1791.1796

Gangashetty P I, Salimath P and Hanamaratti N. 2013. Association analysis in genetically diverse non-basmati local aromatic genotypes of rice (Oryza sativa L.). Molecular Plant Breeding 4. DOI: https://doi.org/10.5376/mpb.2013.04.0004

Inabangan-Asilo M A, Swamy B M, Amparado A F, Descalsota- Empleo G I L, Arocena E C and Reinke R. 2019. Stability and G × E analysis of zinc-biofortified rice genotypes evaluated in diverse environments. Euphytica 215: 61. DOI: https://doi.org/10.1007/s10681-019-2384-7

Naik S M, Raman A K, Nagamallika M, Venkateshwarlu C, Singh S P, Kumar S, Singh S K, Ahmed T, Das S P, Prasad K and Izhar T. 2020. Genotype × environment interactions for grain iron and zinc content in rice. Journal of the Science of Food and Agriculture 100(11): 4150–64. DOI: https://doi.org/10.1002/jsfa.10454

Nassir A L and Ariyo O J. 2011. Genotype × environment interaction and yield-stability analyses of rice grown in tropical inland swamp. Notulae Botanicae Horti Agrobotanici Cluj- Napoca 39: 220–25. DOI: https://doi.org/10.15835/nbha3915591

Neeraja C N, Kulkarni K S, Madhu Babu P, Sanjeeva Rao D, Surekha K and Ravindra Babu V. 2018. Transporter genes identified in landraces associated with high zinc in polished rice through panicle transcriptome for biofortification. PLoS One 13(2): e0192362. DOI: https://doi.org/10.1371/journal.pone.0192362

Oladosu Y, Rafii M Y, Abdullah N, Magaji U, Miah G, Hussin G and Ramli A. 2017. Genotype × Environment interaction and stability analyses of yield and yield components of established and mutant rice genotypes tested in multiple locations in Malaysia. Acta Agriculturae Scandinavica Section B Soil and Plant Science 67: 590–606. DOI: https://doi.org/10.1080/09064710.2017.1321138

Rerkasem B, Jumrus S, Yimyam N and Prom-u-Thai C. 2015. Variation of grain nutritional quality among Thai purple rice genotypes grown at two different altitudes. Science Asia 41: 377–85. DOI: https://doi.org/10.2306/scienceasia1513-1874.2015.41.377