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Baseline status and effect of genotype, environment and genotype × environment interactions on iron and zinc content in Indian chickpeas (Cicer arietinum L.)

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Abstract

Genetic biofortification is a cost-effective strategy to address iron (Fe) and zinc (Zn) deficiencies prevalent worldwide. Being a rich and cheap protein source, chickpea, a food legume grown and consumed across the globe, is a good target for biofortification. Nineteen popular commercial cultivars of India were analysed for Fe and Zn content at four locations representing different agro-climatic zones to study the genotypic and genotype × environment interactions on Fe and Zn. Distribution of phytic acid (PA), an important anti-nutrient that chelates and reduces the mineral bioavailability, was also analysed. Influence of other agronomic traits like days to flowering, plant height and 100 seed weight on Fe and Zn content was also studied. All the traits showed significant G and G × E interactions; however, the magnitude of variance of GXE was lesser than that of G alone. Genotype + genotype-by-environment and genotype-by-trait biplots were used to assess the relations between different environments, genotypes and traits. Iron and zinc content showed positive correlation between them indicating a possibility of their co-selection in breeding. A negative correlation between Zn and PA was observed. However, there was very low variability for PA content in the cultivars under study, indicating that moderate PA is naturally selected in these cultivars during breeding. Despite significant GXE interactions, cultivars with high Fe (> 70 µg/g) and Zn content (> 40 µg/g) at three out of four test locations were identified. Such genotypes will be useful in breeding programs for enhancing mineral micronutrient content and understanding the molecular mechanisms governing their differential uptake.

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References

  • Alajaji SA, El-Adawy TA (2006) Nutritional composition of chickpea (Cicer arietinum L.) as affected by microwave cooking and other traditional cooking methods. J Food Compost Anal 19:806–812. https://doi.org/10.1016/j.jfca.2006.03.015

    Article  CAS  Google Scholar 

  • Amarakoon D, Thavarajah D, McPhee K, Thavarajah P (2012) Iron-, zinc-, and magnesium-rich field peas (Pisum sativum L.) with naturally low phytic acid: a potential solution to global micronutrient. J Food Compost Anal 27:8–13. https://doi.org/10.1016/j.jfca.2012.05.007

    Article  CAS  Google Scholar 

  • Badigannavar A, Girish G, Ramachandran V, Ganapathi TR (2016) Genotypic variation for seed protein and mineral content among post-rainy season- grown sorghum genotypes. Crop J 4:61–67. https://doi.org/10.1016/j.cj.2015.07.002

    Article  Google Scholar 

  • Bueckert RA, Thavarajah D, Thavarajah P, Pritchard J (2011) Phytic acid and mineral micronutrients in field- grown chickpea (Cicer arietinum L.) cultivars from western Canada. Eur Food Res Technol 233:203–212

    Article  CAS  Google Scholar 

  • Diapari M, Sindhu A, Bett K, Deokar A, Warkentin TD, Tar’an B (2014) Genetic diversity and association mapping of iron and zinc concentrations in chickpea (Cicer arietinum L.). Genome 57:459–468

    Article  CAS  PubMed  Google Scholar 

  • Engle-Stone R, Yeung A, Welch RM, Glahn RP (2005) Meat and ascorbic acid can promote Fe availability from Fe-phytate but not from Fe-tannic acid complexes. J Agric Food Chem 53:10276–10284

    Article  CAS  PubMed  Google Scholar 

  • Food and Agriculture Organization (FAO) (2017) FAO-STAT Statistical Database of the United Nation Food and Agriculture Organization (FAO) Statistical Division. Rome. http://www.fao.org/faostat/en/#data/QC. Accessed 11 Feb 2020

  • Frutos E, Galindo MP, Leiva V (2014) An interactive biplot implementation in R for modelling genotype-by-environment interaction. Stoch Envrion Res Risk Assess 28:1629–1641

    Article  Google Scholar 

  • Guerinot ML (2000) The ZIP family of metal transporters. Biochim Biophys Acta 1465:190–198

    Article  CAS  PubMed  Google Scholar 

  • Haas JD, Luna SV, Lung’aho MG, Ngabo F, Wenger M, Murray-Kolb LE, Beebe S, Gahutu JB, Egli IM (2017) Consuming iron biofortified beans significantly improved iron status in Rwandan women after 18 weeks. J Nutr 146:1586–1592

    Article  Google Scholar 

  • Hu Y, Cheng Z, Heller LI, Krasnoff SB, Glahn RP, Welch RM (2006) Kaempferol in red and pinto bean seeds (Phaseolus vulgaris L.) coats inhibits bioavailability using an in vitro digestion/human CaCO-2 cell model. J Agric Food Chem 54:9254–9261

    Article  CAS  PubMed  Google Scholar 

  • Joshi-Saha A, Reddy KS (2015) Repeat length variation in 5′UTR of myo-inositol monophosphatase gene is related to phytic acid content and contributes to drought tolerance in chickpea (Cicer arietinum L.). J Exp Bot 66:5683–5690

    Article  CAS  PubMed  Google Scholar 

  • Joshi-Saha A, Mehzabin P, Reddy KS, Ramachandran V (2018) Effect of seasonal variation on micronutrient content in chickpea (Cicer arietinum L.) and identification of accessions having high iron and zinc. J Food Legumes 3:1–4

    Google Scholar 

  • Kanatti A, Rai KN, Radhika K, Govindaraj M, Sahrawat KL, Rao AS (2014) Grain iron and zinc density in pearl millet: combining ability, heterosis and association with grain yield and grain size. Springer Plus 3:763

    Article  PubMed  Google Scholar 

  • Ma G, Li Y, Jin Y, Zhai F, Kok FJ, Yang X (2007) Phytate intake and molar ratios of phytate to zinc, iron and calcium in the diets of people in China. Eur J Clin Nutr 61:368–374

    Article  CAS  PubMed  Google Scholar 

  • Magallanes-López AM, Hernandez-Espinosa N, Velu G et al (2017) Variability in iron, zinc and phytic acid content in a worldwide collection of commercial durum wheat cultivars and the effect of reduced irrigation on these traits. Food Chem 237:499–505

    Article  PubMed  PubMed Central  Google Scholar 

  • Mallikarjuna MG, Thirunavukkarasu N, Hossain F, Bhat JS et al (2015) Stability performance of inductively coupled plasma mass spectrometry-phenotyped kernel minerals concentration and grain yield in maize in different agro-climatic zones. PLoS ONE 10:e0139067. https://doi.org/10.1371/journal.pone.0139067

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Muehlbauer FJ, Sarker A (2017) Economic importance of chickpea: production, value and world trade. In: Varshney RK, Thudi M, Muehlbauer FJ (eds) The chickpea genome, compendium of plant genomes. Springer, Berlin, pp 5–12

    Chapter  Google Scholar 

  • Muthayya S, Rah JH, Sugimoto JD, Roos FF, Kraemer K, Black RE (2013) The global hidden hunger indices and maps: an advocacy tool for action. PLoS ONE 8:e67860

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Phuke RM, Kotla A, Kommineni R, Jabeen F et al (2017) Genetic variability, genotype × environment interaction, correlation, and GGE biplot analysis for grain iron and zinc concentration and other agronomic traits in RIL population of Sorghum (Sorghum bicolour L. Moench). Front Plant Sci 8:172

    Article  Google Scholar 

  • Putto W, Patanothai A, Jogloy S, Hoogenboom G (2008) Determination of mega-environments for peanut breeding using the CSM-CROPGRO- peanut model. Crop Sci 48:973–982

    Article  Google Scholar 

  • Rakshit S, Ganapathy KN, Gomashe SS, Rathore A et al (2012) GGE biplot analysis to evaluate genotype, environment and their interactions in sorghum multi-location data. Euphytica 185:465–479

    Article  Google Scholar 

  • Saltzman A, Birol E, Bouis HE, Boy E, De Moura FF, Islam Y, Pfeiffer WH (2013) Biofortification: progress toward a more nourishing future. Glob food Secur 2:9–17. https://doi.org/10.1016/j.gfs.2012.12.003

    Article  Google Scholar 

  • Swamy BPM, Rahman MA, Inabangan-Asilo MA et al (2016) Advances in breeding for high grain zinc in rice. Rice 9:49

    Article  PubMed  PubMed Central  Google Scholar 

  • Tan GZH, Das Bhowmik SS, Hoang TML et al (2018) Investigation of baseline iron levels in Australian chickpea and evaluation of a transgenic biofortification approach. Front Plant Sci 9:88

    Article  Google Scholar 

  • Thavarajah P, Thavarajah D, Vandenberg A (2009) Low phytic acid lentils (Lens culinaris L.): a potential solution for increased micronutrient availability. J Agric Food Chem 57:9044–9049

    Article  CAS  PubMed  Google Scholar 

  • Upadhyaya HD, Bajaj D, Das S et al (2016) Genetic dissection of seed-iron and zinc concentrations in chickpea. Sci Rep 6:24050

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Vandemark GJ, Grusak MA, McGee RJ (2018) Mineral concentrations of chickpea and lentil cultivars and breeding lines grown in the U.S. Pacific Northwest. Crop J 6:253–262. https://doi.org/10.1016/j.cj.2017.12.003

    Article  Google Scholar 

  • Velu G, Ortiz-Monasterio I, Cakmak I, Hao Y, Singh RP (2014) Biofortification strategies to increase grain iron and zinc concentrations in wheat. J Cereal Sci 59:365–372. https://doi.org/10.1016/j.jcs.2013.09.001

    Article  CAS  Google Scholar 

  • Yan W, Rajcan IR (2002) Biplot analysis of test sites and trait relations of soybean in Ontario. Can J Plant Sci 42:11–20

    Google Scholar 

  • Yan W, Tinker NA (2006) Biplot analysis of MET data: principals and applications. Can J Plant Sci 86:623–645. https://doi.org/10.4141/P05-169

    Article  Google Scholar 

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Acknowledgements

Authors thank Mr. P.N. Thokal for help in sample preparation for atomic absorption spectroscopy.

Funding

This research received no specific grant from any funding agency, commercial or not-for-profit sectors.

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Authors and Affiliations

  1. Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Trombay, Mumbai, 400 085, India

    G. Misra, A. Joshi-Saha, D. Salaskar & K. S. Reddy

  2. Homi Bhabha National Institute, Anushakti Nagar, Mumbai, 400 094, India

    A. Joshi-Saha

  3. ICAR-Indian Institute of Pulses Research, Kalyanpur, Kanpur, U.P., 208024, India

    G. P. Dixit & A. K. Srivastava

  4. Regional Agricultural Research Station, Acharya N.G. Ranga Agricultural University, Nandyal, A.P., 518 502, India

    V. Jayalakshmi

  5. Pulses Research Station, Junagadh Agricultural University, Junagadh, Gujarat, 362 001, India

    M. S. Pithia

  6. International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, 502 324, India

    P. M. Gaur

Authors
  1. G. Misra
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  2. A. Joshi-Saha
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  3. D. Salaskar
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  4. K. S. Reddy
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  5. G. P. Dixit
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  6. A. K. Srivastava
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  7. V. Jayalakshmi
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  8. M. S. Pithia
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  9. P. M. Gaur
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Contributions

GM prepared samples and estimated Fe, Zn and PA content. DS did the spectroscopic analysis. GPD, AKS, VJ, MSP collected the data for IIPR, NRC, Nandyal and Junagadh, respectively. AJS and GPD designed the study. AJS compiled and analysed the data statistically. AKS did biplot analysis. AJS, KSR, GPD and PMG wrote the manuscript.

Corresponding authors

Correspondence to A. Joshi-Saha or G. P. Dixit.

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Misra, G., Joshi-Saha, A., Salaskar, D. et al. Baseline status and effect of genotype, environment and genotype × environment interactions on iron and zinc content in Indian chickpeas (Cicer arietinum L.). Euphytica 216, 137 (2020). https://doi.org/10.1007/s10681-020-02673-z

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  • DOI: https://doi.org/10.1007/s10681-020-02673-z

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