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REVIEW article

Front. Nutr., 27 August 2024
Sec. Nutrition and Metabolism
This article is part of the Research Topic Dietary Protein for Human Health View all 19 articles

Potential impact of climate change on dietary grain protein content and its bioavailability-a mini review

Sindhu Kashyap,Sindhu Kashyap1,2Bellam H. Rajashekar ReddyBellam H. Rajashekar Reddy2Sarita DeviSarita Devi2Anura V. Kurpad
Anura V. Kurpad3*
  • 1Research Scholar, Manipal Academy of Higher Education, Manipal, India
  • 2Division of Nutrition, St. John’s Research Institute, St. John’s National Academy of Health Sciences (A Unit of CBCI Society for Medical Education), Bengaluru, India
  • 3Department of Physiology, St. John’s Medical College, Bengaluru, India

The changing global climate brings a gradual yet constant and adverse shift in crop production. Grain crop plants, particularly cereals and legumes, respond varyingly to adverse climate, including reduction in grain yield and changes to their nutrient densities. An understanding of specific changes to crop systems under differing climatic conditions can help in planning diets to meet human nutrient sufficiency. Grain protein content is also affected by adverse environmental factors. Deficits in protein yield, linked to changes in grain or seed protein and antinutrient concentrations, have been reported in major food crops when exposed to elevated carbon dioxide, high temperature, drought, and humidity. These changes, in addition to affecting the quantity of indispensable or essential amino acids (IAA), also impact their bioavailability. Therefore, it is important to assess consequences of climate change on grain protein quality. An important tool to measure grain protein quality, is measuring its digestibility at the level of the ileum and its IAA concentration, linked to a metric called the Digestible IAA Score (DIAAS). A minimally invasive technique called the dual isotope tracer technique, which measures IAA digestibility after simultaneous administration of two different intrinsically labelled protein sources, one a test protein (2H/15N) and one a reference protein (13C) of predetermined digestibility, has been used in evaluation of grain protein IAA digestibility, and promises more in the evaluation of changes based on climate. This review discusses climate induced changes to grain protein quality through the prism of IAA digestibility, using the dual isotope tracer technique.

1 Introduction

Agriculture and sustainable food production depends, in the short term on the weather and in the long term on climate (1). Recent trends in climate change have largely been attributed to emission of greenhouse gases like carbon dioxide (CO2), methane, nitrous oxide which has led to various important consequences such as increased atmospheric temperature, drought, and changes in rainfall pattern to name a few (2). Unseasonal environmental changes might impact seasonal crops as they require optimal conditions to achieve their vegetative and reproductive potential (1, 2). When crop plants fail to adapt to the changing environment or activate mechanisms to conserve organic matter, this results in a lower grain yield (3). Further, the mobility of reserves from leaves and roots to the grain is altered and this causes modifications in nutrient densities (4). For instance, macronutrients such as protein and micronutrients such as zinc and iron deposition in major food crops such as wheat, corn, rice, and soy decreased by approximately 3 to 9% when grown under high CO2 (5). Variations in nutrient densities co-occur with changes in secondary metabolite concentrations in the grain; for example, the concentration of antinutrients, such as polyphenols, can affect nutrient bioavailability from the grain (6). These shifts are also found in the vegetative parts of the crops which serve as the fodder for livestock and can potentially impact productivity in terms of meat, eggs, and milk (7, 8). These effects on food systems can be multifaceted, and therefore the evaluation of climate induced changes in food systems can help plan global food production to achieve nutrient security and sufficiency.

More specifically, the impact of climate change on protein nutrition needs evaluation as protein is critical for growth and maintenance of body structural and functional proteins encoded by the human genome (9). The grain protein quantity of cereals and legumes, grown under a predicted atmospheric CO2 that would occur in 2050, would decline by 4% (10). It also is important to determine the effect of climatic changes to the grain components and protein composition, and antinutrient quantity which can affect protein digestibility and hence its quality (11). The quality of a protein is dependent on the ability of its indispensable or essential amino acid (IAA) content to satisfy age-specific requirement (amino acid score) and its digestibility (digestion and absorption) (12, 13). The measurement of ‘protein digestibility’ is now recommended for individual IAA as this can vary for each IAA, either due to the difference in their interactions with the food matrix, which could include antinutrients, like anti-proteases, or due to a varied effect of food processing on different IAA (14). The digestibility of grain proteins becomes critical to measure in different food matrixes, to define protein quality and the ability of specific plant foods to meet daily protein and IAA requirements. The present review aims to understand the effect of changes in three major environmental factors such as atmospheric CO2, temperature and water availability, which are critical for plant growth and productivity, on grain protein yield and content, protein composition, and antinutrient concentrations. Further, the review also examines a minimally invasive method of protein digestibility measurement in humans which can be used to assess protein quality against the background of climate induced grain composition changes.

2 Effect of climate change on grain protein yield

Crop plants grown under elevated atmospheric CO2 have increased grain yield resulting from higher carbon assimilation (15, 16). Free-air-CO2 enrichment field experiments show that the quantum of yield increase was greater in C3 cereals, such as rice and wheat (10–12%) at CO2 exposure of 500 to 700 ppm compared to C4 plants such as maize (1618). This is mainly due to increased photosynthetic efficiency of C3 plants under elevated CO2, while C4 plants such as maize which are already efficient photosynthetic assimilators do not respond equally to elevated atmospheric CO2 (15). However, increased yield is associated with ionomic imbalances and changes to protein concentration in most crop plants (5). A meta-analysis of 228 studies with elevated CO2 showed a reduction in the grain protein content (GPC) of major food crops such as rice, wheat, barley and soyabean (16). The decreased GPC in rice and wheat (7 to 15%) could be due to its dilution by higher quantities of carbohydrates synthesized or due to decreased leaf protein concentration which is the main source of cereal grain protein (1618). The reduction of GPC was lower in legumes compared to non-leguminous C3 plants, except for chickpea (8–10%). Smaller but significant decreases of GPC were found in soybean (4.8%), lentil (2%), and field pea (3%) (1922). This could be attributed to nodule-based nitrogen fixation and protein translocation to the seeds in legumes. Although GPC decreases under elevated CO2, the overall protein yield/hectare may not be reduced as it is compensated by increases in grain yield/hectare (23).

Decreased grain protein yield is associated with total crop yield losses. An analysis of the cereal yield, the largest contributors for global protein, over two decades (1990–2010), has shown a production plateau in major cereal producing areas across the world. This yield gain plateau could be due to maximum yield potential of these areas or due gradual climatic changes over the two decades (24). In Europe, between 1991 and 2015, cereal production decreased by 7.3% mainly due to extreme weather conditions such as heatwaves and drought (25). An increase in temperature by 1°C during cultivation of different varieties of wheat can reduce its yield by 3–10% (26). This is not limited to cereals, as the crop yield of legumes decreased by 4–31% with increases in temperature of 1–4°C (27, 28). Crop plants experience heat stress on exposure to increased temperature; and nutrient composition of grains are particularly affected if this exposure is during the reproductive and the seed filling stage as it reduces the seed filling time and impairs starch and protein synthesis (2931). The protein content of rice and wheat on a dry weight basis increased under heat stress, but the amount of protein/grain was not altered when compared to control (3234). However, in spring dry pea, protein/seed decreased when compared to control plants with every 1°C rise in temperature, but the magnitude of this decrease was lower compared to other dry matter components of the seed (0.032 mg of protein vs. 0.8 mg of other dry matter components/seed), such that the rise in temperature eventually resulted in an increased total grain protein on dry weight basis (35). Mixed results were observed for legumes, for instance in mung bean, lentil and chickpea, GPC reduced on an average by 7, 14, and 19% respectively, while it increased by 6.7% in soybean (3639) (Table 1).

Table 1
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Table 1. Effect of different abiotic stresses on crop grain protein content.

Water deficit (drought) which often accompanies increases in temperatures also has varying effects on grain protein yield. A meta-analysis of 48 studies on effect of drought on wheat showed a decrease in grain yield and grain protein yield/hectare by 57.32 and 46.04%, respectively, but GPC increased by 9.38% (40, 41). This effect is similar to that observed under high temperature. Decreased protein yield/hectare was also reported in chickpea and mung bean under drought where protein yield reduced by 41 and 88%, respectively, (42). While GPC decreased in chickpea by 5% and faba bean by 12%, it increased in mung bean, and a few common bean varieties by 10% and 6–10%, respectively, (4244). In sorghum, while heat stress on an average decreased GPC in 24 different cultivars by 9%, drought increased it by 8% (45). Although it is important to understand the effect of individual climatic changes, cultivated lands experience multiple stresses together; therefore, their simultaneous interaction on the GPC needs to be considered. For instance, rice cultivars grown under elevated CO2 and heat had 4–6% lower GPC when compared to elevated CO2 alone (46). In wheat, combined stress of ozone (80–100 ppb), elevated CO2 (700 ppm), and higher temperature (5°C) increased GPC by 4.6% (47) (Table 1). Combined heat and drought stress reduced GPC by 57% in lentil; however, this reduction in GPC was 14% when grown under heat stress alone (38). Overall, grain protein yield is affected by reduction of crop yield or reduction of GPC from exposure to various weather/climatic conditions. Selection of cultivars which are tolerant to different abiotic stresses with minimum yield and grain protein penalty can help in future climatic conditions. However, these varieties might also have increased quantities of antinutrients such as polyphenols and phytic acids which accumulate in grain in response to abiotic stresses (48, 49).

3 Effect of climate change on grain protein composition, amino acid and antinutrient concentration

The shifting climate not only changes the proximate nutritional make-up of the grain, but also leads to changes in the protein fractions deposited in the grain. The main storage proteins of cereals and legumes are albumin, globulin, prolamin and glutelins with crop specific variations in their type, proportions and subfractions (50). Climate change induced changes can co-occur in all the storage protein fractions, however the extent to which each protein fraction is affected defines the grain protein digestibility. This is because each protein fraction is digested with different efficiencies in different crops. In rice bran protein when assessed in vitro, glutelin had highest digestibility followed by albumin and globulin, and prolamin (51). Whereas in barley, hordeins (prolamins) had the highest digestibility followed by albumin and globulin, and glutelin (52).

A change in gliadin to glutenin ratio (reduction by 4.8%) was observed when wheat was grown under elevated CO2 conditions (53). The reduced gliadin to glutenin ratios could decrease the protein digestibility of wheat as the glutenin fraction is 6% less digestible than the gliadin fraction (54). On the contrary, the protein digestibility of maize grown under elevated CO2 was 9% higher in pigs, although the changes in the protein fractions were not reported in this study (55). Elevated CO2 decreased albumin (34%), prolamin (21%), glutelin (17%) and globulin (16%) concentrations in rice (56). A concurrent decrease in of all IAA concentrations in the range of 4.8 to 9.0% in wheat and 1.6 to 5.0% in rice was observed when grown under elevated CO2 (18). Heat stress that is experienced after anthesis in wheat also resulted in changes of gluten protein composition by decreasing the ratio of gliadin to glutenin (5.5%) (57). In rice, exposure to high temperature caused a reduction in prolamin by 12% and increase in glutelin by 31% (58). Changes in protein fractions were also observed in other crops including maize, barley, mung bean, lentils, and chickpea, at elevated CO2 and under heat stress (Table 2) (36, 37, 59, 60). It is important to note that the changes in protein fractions of the grains are dependent on various factors including the length and time of stress induction, variety of the crop, the type of stress induced and combination of environmental stresses that the crop experiences. In total, the alterations in AA concentration and protein fraction of grains have potential to influence their protein digestibility and quality.

Table 2
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Table 2. Effect of different abiotic stresses on grain protein composition, amino acid and antinutrient concentration.

Environmental changes affect the quantity of antinutrients such as phytic acid (PA) and phenolics in grains. For example, PA concentrations increased by an average of 13.7% in 22 rice genotypes when exposed to heat stress, and the extent of this increase varied among different cultivars (61). Increases in PA concentration were found in lentil and sorghum while there was no change in wheat (62, 63). Elevated CO2 decreased PA content in wheat, while increases were observed in rice (5, 64) (Table 2). High temperature increased total phenolic content (free and bound) in wheat genotypes (4–33% for every 5°C increment) while elevated CO2 increased total phenolics in faba beans by 50% (65, 66). Both PA and phenolics can decrease protein digestibility by 3–31%, although the extent of this decrease varies on the concentration of PA and the type of polyphenols (11). A higher quantity of non-structural carbohydrate is observed in a few forms of abiotic stress. Under elevated CO2, wheat grains had significantly higher concentrations of fructose (5%) and fructan (4%). The concentrations of other carbohydrates such as sucrose, raffinose and maltose also increased, though this the change was not significant (17) (Table 2). The presence of these sugars, in excess, indirectly influences protein quality as they can be involved in Maillard reactions with grain protein during processing for consumption and form products which are not utilized functionally (11). Non-structural polysaccharides which impact protein digestibility such as arabinoxylan has been shown to increase in spring wheat by 11 and 10% under heat and drought stress, respectively, (67). Together these changes can result in a decrease of protein quality. While limited in vitro studies examine the digestibility under different abiotic stresses, there are no studies which examine the effect of climate on grain protein digestibility in humans. This is important as in addition to the above-mentioned factors, food matrices in which protein is habitually consumed can further affect bioavailability.

4 Protein digestibility measurement and the digestible indispensable amino acid score

The changing landscape of dietary protein quantity in the background of differing grain components make it important to measure protein digestibility in widely cultivated and emerging abiotic stress resistant crop cultivars, and alternative protein sources. It is also important for understanding the effectiveness of food processing techniques on improving protein digestibility. A protein quality metric which takes into account the amino acid score as well as its digestibility (digestion and absorption till the terminal ileum), called the digestible indispensable amino acid score (DIAAS), is currently recommended for protein quality assessment (12, 13), and briefly described below.

Protein digestibility was earlier measured by oro-fecal intestinal balance, as the difference in the protein content between intake and fecal excretion, expressed as a proportion of the intake (14). The colonic microbial protein transactions that trap body nitrogen in the colon (urea for example) can confound these measurements (14). Since digestion and absorption of dietary protein is mainly considered to occur in the small intestine, measurement of ileal amino acid digestibility (oro-ileal balance) is recommended, corrected for the contribution from endogenous protein secretions (14). Ileal digestibility measurements are invasive as the ileum is not easily accessible and requires measurement of the endogenous intestinal protein secretions as well. It is measured by naso-ileal intubation technique or fistulation of the terminal ileum to collect ileal effluents required for quantification of the amount of ingested protein that disappeared after digestion and absorption until the terminal ileum (14). As stated above, substantial amounts of endogenous protein, which are secreted into gastrointestinal tract, mix with the dietary protein leading to an underestimation of oro-ileal digestibility (14, 68). Therefore, an additional measure of endogenous protein losses on a separate day becomes necessary (14). When corrected for endogenous protein losses, the ileal IAA digestibility is termed as “true ileal IAA digestibility.” Using stable isotopically labelled test dietary protein which distinguishes it from the endogenous protein helps avoid this additional measurement (14). Due to the invasiveness of the ileal-balance method, it cannot be used widely to determine ileal protein digestibility.

A relatively recent, minimally invasive technique called the dual isotope tracer technique is promising for measurement of true IAA digestibility in different populations and age groups (69). In this technique, two intrinsically stable isotopically labelled protein, one a test protein (2H/15N) and another a differently labelled reference protein (13C) of known digestibility, are simultaneously administered in a plateau feeding protocol. The ratio of postprandial plasma enrichment of 2H/15N IAA from the test protein and 13C-IAA from the reference protein at plateau corrected for amounts ingested and the digestibility of the reference protein provides a measure of test protein digestibility (69). The equation used for the calculation of true IAA digestibility by dual isotope tracer technique is given below:

Dig test = Plasma 2 H I A A APE / Meal 2 H I A A APE / Plasma 13 C I A A APE / Meal 13 C I A A APE 100 Dig r e f / 100.

Where, Digtest is digestibility of test protein, Digref digestibility of reference protein, and APE is atom percent excess.

The dual isotope tracer technique makes two important assumptions, first, that the absorption kinetics of labelled IAA from both the test and reference protein are similar. Second, differently labelled IAA’s undergo similar splanchnic extraction and metabolism (14). Both of these assumptions are reasonable as an isotopic effect for these processes is not conclusively known. Several aspects of the measurement, to be considered while using this technique, such as intrinsic labelling of the test protein, selection of reference protein and feeding protocol have been discussed before (70).

To obtain intrinsically labelled plant protein, different methods are available, through foliar or soil applications of 15N labelled ammonium/potassium salts or by administration of heavy water (2H2O) to the soil, or through hydroponics during the reproductive and seed development phase of the plant (69, 7173). 15N-salts label the amino groups of all IAA, while deuterium atoms from 2H2O are fixed at different position into IAA during their synthesis (73). The extent of labelling of the IAA depends on the quantity of the precursors administered and the length of application. The incorporation of 15N into IAA is more efficient than 2H because 15N is incorporated into fewer molecules such as protein, and nucleic acids whereas 2H is incorporated into all molecules. It is important to consider losses of label which can occur during metabolic reactions, for instance, 15N from α-amino groups of labelled IAA are replaced by 14N during the reverse reaction of transamination and the α-2H of AA is replaced with H from body water (74, 75). Transamination correction factors can be derived in separate studies to account for these losses (69, 76).

The reference protein used could either be a 13C-labelled bound protein of known digestibility or free 13C-AA mixture (69, 77). Commercially available U-13C spirulina has been previously used as the reference protein in dual isotope tracer technique; however, the interindividual variability of spirulina IAA digestibility was found to be high (1–12%) (69). Animal source protein (egg, milk, whey, or casein) with high digestibility and lower inter-individual variability can also be used as reference protein. The other option is to use 13C-AA mixture which is considered to have 100% digestibility. A protein comparator as a reference is preferred as peptides have an absorption advantage over free AA (78).

The dual isotope tracer technique has not yet been validated with ileal-balance methods in an appropriately designed protocol. However, the true ileal IAA digestibility of animal source foods measured by dual isotope tracer technique was similar to that measured by other ileal balance methods (7982). Previous studies have shown that the mean true ileal IAA digestibility of desi chickpea and kabuli chickpea was estimated to be 56 and 74.6%, respectively, and extrusion increased this by 89% (69, 77, 83). Climate change induced increases in grain anti-nutrients, such as polyphenols and phytate, (65, 66) can potentially decrease grain protein digestibility through covalent or non-covalent interactions with either the grain protein or the gastrointestinal tract proteases which hydrolyze them. This effect on digestibility can be shown through traditional processing techniques such dehulling, which has been shown to increase the mean true IAA digestibility of whole mung bean by 7.7% (77). Dehulling removes antinutrients such as tannins and polyphenols present in the seed coat which can reduce protein digestibility. Further, the true mean IAA digestibility of egg protein decreased by 17% when it was co-ingested with black tea (84), with a polyphenol content of 4.6 mg/mL.

The main advantage of the dual isotope tracer technique over the traditional oro-ileal balance methods of digestibility measurement is that it is minimally invasive. The plateau feeding protocol employed in the dual isotope tracer technique minimizes the number of blood samples collected and hence it can be used across age groups. The use of intrinsically labelled protein prevents confounding by endogenous protein secretions and allows measurement of true digestibility of all IAA of a grain protein on a single study day. The technique is also sensitive to changes in true IAA digestibility of different crop varieties, varying food matrices, and food processing techniques. Therefore, it has the potential to be used to assess the effect of climate change on true IAA digestibility of different dietary grain protein sources across geographical locations in different populations.

5 Conclusion and future research directions

Climate change has the potential to reduce protein quality particularly in crop grains, by reduction in protein yield, protein content, IAA content, and decreased digestibility due to protein compositional changes and varied antinutritional factors. Systematic field-based analysis of effect of combined abiotic stresses on protein content and protein quality is required to plan a sustainable approach for improving protein nutrition. Mitigation strategies including selection of cultivars which are tolerant to environmental stresses, introgression of multiple abiotic stress tolerant traits in new cultivar by crop breeding, and alternative sources of protein needs to be evaluated. In addition to traditional crop breeding techniques, newer approaches such as quantitative trait loci mapping and marker assisted section, and CRISPR-Cas9 genome editing can be used to introduce multi-stress tolerances in important food crops. Selection of alternative crops to suit the climate of a particular production area to diversity cropping systems can help in sustaining or increasing nutrient production/hectare. Combination of different food processing techniques or development of processing techniques to reduce the effect of anti-nutrients can further improve protein quality. The dual isotope tracer technique, while expensive, is minimally invasive and can be used to evaluate the effect of changing climate on the protein digestibility of crops in humans and to determine the effectiveness of mitigation strategies in improving protein digestibility. It is also important to determine the fate of higher quantities of undigested crop protein which can enter the colon in background of climate change with controlled intervention studies, as several beneficial and adverse effects on health outcomes have been associated with protein fermentation products in the human colon.

Author contributions

SK: Writing – original draft, Writing – review & editing. BR: Writing – review & editing. SD: Writing – original draft, Writing – review & editing. AK: Conceptualization, Funding acquisition, Supervision, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. The work was supported by the Margdarshi Fellowship of the Wellcome Trust/DBT India Alliance and partly by IAEA CRP Code: E4.30.31, contract no: 19301 to AK.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

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References

1. Keutgen, AJ. Climate change: challenges and limitations in agriculture. IOP Conference Series: Earth and Environmental Science 2023, 1183, 12069. IOP Publishing

Google Scholar

2. Eisenach, C. How plants respond to climate change: a new virtual special issue of plant, cell & environment. Plant Cell Environ. (2019) 42:2537–9. doi: 10.1111/pce.13604

PubMed Abstract | Crossref Full Text | Google Scholar

3. Rezaei, EE, Webber, H, Asseng, S, Boote, K, Durand, JL, Ewert, F, et al. Climate change impacts on crop yields. Nat Rev Earth Environ. (2023) 4:831–46. doi: 10.1038/s43017-023-00491-0

Crossref Full Text | Google Scholar

4. Cotrina Cabello, GG, Ruiz Rodriguez, A, Husnain Gondal, A, Areche, FO, Flores, DD, Astete, JA, et al. Plant adaptability to climate change and drought stress for crop growth and production. CABI Rev. (2023) 2023:e4. doi: 10.1079/cabireviews.2023.0004

Crossref Full Text | Google Scholar

5. Myers, SS, Zanobetti, A, Kloog, I, Huybers, P, Leakey, AD, Bloom, AJ, et al. Increasing CO2 threatens human nutrition. Nature. (2014) 510:139–42. doi: 10.1038/nature13179

PubMed Abstract | Crossref Full Text | Google Scholar

6. Srivastava, AK, Mishra, P, and Mishra, AK. Effect of climate change on plant secondary metabolism: an ecological perspective. Evolutionary diversity as a source for anticancer molecules, (2021), 47–76. Academic Press

Google Scholar

7. Babinszky, L, Halas, V, and Verstegen, MW. Impacts of climate change on animal production and quality of animal food products. Climate change socioeconomic effects. Rijeka: InTech. (2011): 165–190

Google Scholar

8. Nadathur, S, Wanasundara, JP, Marinangeli, CP, and Scanlin, L. Proteins in our diet: challenges in feeding the global population. Sustainable protein sources, (2024), 1–29, Academic Press

Google Scholar

9. Wu, G. Dietary protein intake and human health. Food Funct. (2016) 7:1251–65. doi: 10.1039/C5FO01530H

Crossref Full Text | Google Scholar

10. Beach, RH, Sulser, TB, Crimmins, A, Cenacchi, N, Cole, J, Fukagawa, NK, et al. Combining the effects of increased atmospheric carbon dioxide on protein, iron, and zinc availability and projected climate change on global diets: a modelling study. Lancet Planet Health. 3:e307–17. doi: 10.1016/S2542-5196(19)30094-4

Crossref Full Text | Google Scholar

11. Gilani, GS, Xiao, CW, and Cockell, KA. Impact of antinutritional factors in food proteins on the digestibility of protein and the bioavailability of amino acids and on protein quality. Br J Nutr. (2012) 108:S315–32. doi: 10.1017/S0007114512002371

PubMed Abstract | Crossref Full Text | Google Scholar

12. Consultation, FE. Dietary protein quality evaluation in human nutrition. FAO Food Nutr Pap. (2011) 92:1–66.

Google Scholar

13. FAO. Protein and amino acid requirements in human nutrition: report of a joint FAO/WHO/UNU expert consultation, World Health Organization, (2007)

Google Scholar

14. FAO. Research approaches and methods for evaluating the protein quality of human foods: Report of an FAO expert working group, food and agriculture Organization of the United Nations. Rome: (2014).

Google Scholar

15. Taub, D. Effects of rising atmospheric concentrations of carbon dioxide on plants. Nat Educ Know. (2010) 1

Google Scholar

16. Taub, DR, Miller, B, and Allen, H. Effects of elevated CO2 on the protein concentration of food crops: a meta-analysis. Glob Chang Biol. (2008) 14:565–75. doi: 10.1111/j.1365-2486.2007.01511.x

Crossref Full Text | Google Scholar

17. Högy, P, Wieser, H, Köhler, P, Schwadorf, K, Breuer, J, Franzaring, J, et al. Effects of elevated CO2 on grain yield and quality of wheat: results from a 3-year free-air CO2 enrichment experiment. Plant Biol. (2009) 11:60–9. doi: 10.1111/j.1438-8677.2009.00230.x

Crossref Full Text | Google Scholar

18. Wang, J, Hasegawa, T, Li, L, Lam, SK, Zhang, X, Liu, X, et al. Changes in grain protein and amino acids composition of wheat and rice under short-term increased [CO2] and temperature of canopy air in a paddy from East China. New Phytol. (2019) 222:726–34. doi: 10.1111/nph.15661

PubMed Abstract | Crossref Full Text | Google Scholar

19. Saha, S, Chakraborty, D, Sehgal, VK, and Pal, M. Potential impact of rising atmospheric CO2 on quality of grains in chickpea (Cicer arietinum L.). Food Chem. (2015) 187:431–6. doi: 10.1016/j.foodchem.2015.04.116

PubMed Abstract | Crossref Full Text | Google Scholar

20. Bellaloui, N, Hu, Y, Mengistu, A, Abbas, HK, Kassem, MA, and Tigabu, M. Elevated atmospheric carbon dioxide and temperature affect seed composition, mineral nutrition, and 15N and 13C dynamics in soybean genotypes under controlled environments. Atlas journal of. Plant Biol. (2016) 114:56–65. doi: 10.5147/ajpb.v0i0.114

Crossref Full Text | Google Scholar

21. Bourgault, M, Brand, J, Tausz-Posch, S, Armstrong, RD, O’leary, GL, Fitzgerald, GJ, et al. Yield, growth and grain nitrogen response to elevated CO2 in six lentil (Lens culinaris) cultivars grown under free air CO2 enrichment (FACE) in a semi-arid environment. Eur J Agron. (2017) 87:50–8. doi: 10.1016/j.eja.2017.05.003

Crossref Full Text | Google Scholar

22. Bourgault, M, Brand, J, Tausz, M, and Fitzgerald, GJ. Yield, growth and grain nitrogen response to elevated CO2 of five field pea (Pisum sativum L.) cultivars in a low rainfall environment. Field Crop Res. (2016) 196:1–9. doi: 10.1016/j.fcr.2016.04.011

Crossref Full Text | Google Scholar

23. Uprety, DC, Sen, S, and Dwivedi, N. Rising atmospheric carbon dioxide on grain quality in crop plants. Physiol Mol Biol Plants. (2010) 16:215–27. doi: 10.1007/s12298-010-0029-3

PubMed Abstract | Crossref Full Text | Google Scholar

24. Grassini, P, Eskridge, KM, and Cassman, KG. Distinguishing between yield advances and yield plateaus in historical crop production trends. Nat Commun. (2013) 4:2918. doi: 10.1038/ncomms3918

PubMed Abstract | Crossref Full Text | Google Scholar

25. Brás, TA, Seixas, J, Carvalhais, N, and Jägermeyr, J. Severity of drought and heatwave crop losses tripled over the last five decades in Europe. Environ Res Lett. (2021) 16:065012. doi: 10.1088/1748-9326/abf004

Crossref Full Text | Google Scholar

26. You, L, Rosegrant, MW, Wood, S, and Sun, D. Impact of growing season temperature on wheat productivity in China. Agric For Meteorol. (2009) 149:1009–14. doi: 10.1016/j.agrformet.2008.12.004

Crossref Full Text | Google Scholar

27. Scheelbeek, PF, Bird, FA, Tuomisto, HL, Green, R, Harris, FB, Joy, EJ, et al. Effect of environmental changes on vegetable and legume yields and nutritional quality. Proc Natl Acad Sci. (2018) 115:6804–9. doi: 10.1073/pnas.1800442115

PubMed Abstract | Crossref Full Text | Google Scholar

28. Kalra, N, Chakraborty, D, Sharma, A, Rai, HK, Jolly, M, Chander, S, et al. Effect of increasing temperature on yield of some winter crops in Northwest India. Curr Sci. (2008) 82-88

Google Scholar

29. Lizana, XC, and Calderini, DF. Yield and grain quality of wheat in response to increased temperatures at key periods for grain number and grain weight determination: considerations for the climatic change scenarios of Chile. J Agric Sci. (2013) 151:209–21. doi: 10.1017/S0021859612000639

Crossref Full Text | Google Scholar

30. Hasanuzzaman, M, Nahar, K, Alam, MM, Roychowdhury, R, and Fujita, M. Physiological, biochemical, and molecular mechanisms of heat stress tolerance in plants. Int J Mol Sci. (2013) 14:9643–84. doi: 10.3390/ijms14059643

PubMed Abstract | Crossref Full Text | Google Scholar

31. Jumrani, K, Bhatia, VS, Kataria, S, and Rastogi, A. The interactive effect of high temperature and water deficit stress on nitrogen fixation, photosynthesis, chlorophyll fluorescence, seed yield and quality in soybean (Glycine max). Plant Physiol Rep. (2024) 29:125–40. doi: 10.1007/s40502-023-00763-3

Crossref Full Text | Google Scholar

32. Shimoyanagi, R, Abo, M, and Shiotsu, F. Higher temperatures during grain filling affect grain chalkiness and rice nutrient contents. Agronomy. (2021) 11:1360. doi: 10.3390/agronomy11071360

Crossref Full Text | Google Scholar

33. Castro, M, Peterson, CJ, Rizza, MD, Dellavalle, PD, Vázquez, D, Ibanez, V, et al., Influence of heat stress on wheat grain characteristics and protein molecular weight distribution, Wheat production in stressed environments: Proceedings of the 7th international wheat conference, 27 November 2005, Mar del Plata, Argentina, (2007), 365–371. Springer, Netherlands

Google Scholar

34. Ferreira, MS, Martre, P, Mangavel, C, Girousse, C, Rosa, NN, Samson, MF, et al. Physicochemical control of durum wheat grain filling and glutenin polymer assembly under different temperature regimes. J Cereal Sci. (2012) 56:58–66. doi: 10.1016/j.jcs.2011.11.001

Crossref Full Text | Google Scholar

35. Larmure, A, and Munier-Jolain, NG. High temperatures during the seed-filling period decrease seed nitrogen amount in pea (Pisum sativum L.): evidence for a sink limitation. Front Plant Sci. (2019) 10:1608. doi: 10.3389/fpls.2019.01608

Crossref Full Text | Google Scholar

36. Batra, D, Dhull, SB, Rani, J, Meenakshi, M, Kumar, Y, and Kinabo, J. Effect of heat stress on seed protein quality in mungbean [Vigna radiata (L.) Wilczek]. Legume Sci. (2023) 5:e205. doi: 10.1002/leg3.205

Crossref Full Text | Google Scholar

37. Devi, P, Awasthi, R, Jha, U, Sharma, KD, Prasad, PV, Siddique, KH, et al. Understanding the effect of heat stress during seed filling on nutritional composition and seed yield in chickpea (Cicer arietinum L.). Sci Rep. (2023) 13:42586. doi: 10.1038/s41598-023-42586-0

Crossref Full Text | Google Scholar

38. Choukri, H, Hejjaoui, K, El-Baouchi, A, El Haddad, N, Smouni, A, Maalouf, F, et al. Heat and drought stress impact on phenology, grain yield, and nutritional quality of lentil (Lens culinaris Medikus). Front Nutr. (2020) 7:596307. doi: 10.3389/fnut.2020.596307

PubMed Abstract | Crossref Full Text | Google Scholar

39. Dornbos, DL, and Mullen, RE. Soybean seed protein and oil contents and fatty acid composition adjustments by drought and temperature. J Am Oil Chem Soc. (1992) 69:228–31. doi: 10.1007/BF02635891

Crossref Full Text | Google Scholar

40. Wan, C, Dang, P, Gao, L, Wang, J, Tao, J, Qin, X, et al. How does the environment affect wheat yield and protein content response to drought? A meta-analysis. Front Plant Sci. (2022) 13:896985. doi: 10.3389/fpls.2022.896985

Crossref Full Text | Google Scholar

41. Javed, A, Ahmad, N, Ahmed, J, Hameed, A, Ashraf, MA, Zafar, SA, et al. Grain yield, chlorophyll and protein contents of elite wheat genotypes under drought stress. J King Saud Univ Sci. (2022) 34:102279. doi: 10.1016/j.jksus.2022.102279

Crossref Full Text | Google Scholar

42. Farooq, M, Hussain, M, Usman, M, Farooq, S, Alghamdi, SS, and Siddique, KH. Impact of abiotic stresses on grain composition and quality in food legumes. J Agric Food Chem. (2018) 66:8887–97. doi: 10.1021/acs.jafc.8b02924

PubMed Abstract | Crossref Full Text | Google Scholar

43. Mejia, ED, Martínez-Resendiz, V, Castaño-Tostado, E, and Loarca-Piña, G. Effect of drought on polyamine metabolism, yield, protein content and in vitro protein digestibility in tepary (Phaseolus acutifolius) and common (Phaseolus vulgaris) bean seeds

Google Scholar

44. Ouzounidou, G, Ilias, I, Giannakoula, A, and Theoharidou, I. Effect of water stress and NaCl triggered changes on yield, physiology, biochemistry of broad bean (Vicia faba) plants and on quality of harvested pods. Biologia. (2014) 69:1010–7. doi: 10.2478/s11756-014-0397-1

Crossref Full Text | Google Scholar

45. Impa, SM, Perumal, R, Bean, SR, Sunoj, VJ, and Jagadish, SK. Water deficit and heat stress induced alterations in grain physico-chemical characteristics and micronutrient composition in field grown grain sorghum. J Cereal Sci. (2019) 86:124–31. doi: 10.1016/j.jcs.2019.01.013

Crossref Full Text | Google Scholar

46. Chaturvedi, AK, Bahuguna, RN, Pal, M, Shah, D, Maurya, S, and Jagadish, KS. Elevated CO2 and heat stress interactions affect grain yield, quality and mineral nutrient composition in rice under field conditions. Field Crop Res. (2017) 206:149–57. doi: 10.1016/j.fcr.2017.02.018

Crossref Full Text | Google Scholar

47. Galani, YJ, Hansen, EM, Droutsas, I, Holmes, M, Challinor, AJ, Mikkelsen, TN, et al. Effects of combined abiotic stresses on nutrient content of European wheat and implications for nutritional security under climate change. Sci Rep. (2022) 12:5700. doi: 10.1038/s41598-022-09538-6

PubMed Abstract | Crossref Full Text | Google Scholar

48. Basu, S, Shekhar, S, Kumar, A, Kumari, S, Kumari, N, Kumari, S, et al. Effect of stage-specific and multi-stage drought on grain nutrient quality in rice. Plant Growth Regul. (2023) 100:561–71. doi: 10.1007/s10725-023-00984-4

Crossref Full Text | Google Scholar

49. Meena, NL, Bhardwaj, R, Maheshwari, C, Prathap, V, and Tyagi, A. Drought-induced variations in nutritional composition of grain and bran of contrasting rice genotypes. Cereal Res Commun. (2024) 1–5:485. doi: 10.1007/s42976-023-00485-0

Crossref Full Text | Google Scholar

50. Jain, A. Seed storage protein, functional diversity and association with allergy. Allergie. (2023) 3:25–38. doi: 10.3390/allergies3010003

Crossref Full Text | Google Scholar

51. Uraipong, C, and Zhao, J. In vitro digestion of rice bran proteins produces peptides with potent inhibitory effects on α-glucosidase and angiotensin I converting enzyme. J Sci Food Agric. (2018) 98:758–66. doi: 10.1002/jsfa.8523

PubMed Abstract | Crossref Full Text | Google Scholar

52. Bhatty, RS, and Whitaker, JR. In vivo and in vitro protein digestibility’s of regular and mutant barleys and their isolated protein fractions. Cereal Chem. (1987) 64:144–9.

Google Scholar

53. Panozzo, JF, Walker, CK, Partington, DL, Neumann, NC, Tausz, M, Seneweera, S, et al. Elevated carbon dioxide changes grain protein concentration and composition and compromises baking quality. A FACE study. J Cereal Sci. (2014) 60:461–70. doi: 10.1016/j.jcs.2014.08.011

Crossref Full Text | Google Scholar

54. Heger, J, Frydrych, Z, Fuchsova, D, and Šašek, A. Amino acid digestibility and biological value of protein fractions isolated from wheat. Cereal Res Commun. (1986) 14:352–61.

Google Scholar

55. Wroblewitz, S, Hüther, L, Berk, A, Lebzien, P, Kluth, H, Manderscheid, R, et al. The impact of free air carbon dioxide enrichment (FACE) on nutrient digestibility of maize grains in pigs and broiler chickens and on ruminal in sacco degradability. Anim Feed Sci Technol. (2014) 196:128–38. doi: 10.1016/j.anifeedsci.2014.06.018

Crossref Full Text | Google Scholar

56. Jing, L, Wang, J, Shen, S, Wang, Y, Zhu, J, Wang, Y, et al. The impact of elevated CO2 and temperature on grain quality of rice grown under open-air field conditions. J Sci Food Agric. (2016) 96:3658–67. doi: 10.1002/jsfa.7545

PubMed Abstract | Crossref Full Text | Google Scholar

57. DuPont, FM, Hurkman, WJ, Vensel, WH, Chan, R, Lopez, RO, Tanaka, CK, et al. Differential accumulation of sulfur-rich and sulfur-poor wheat flour proteins is affected by temperature and mineral nutrition during grain development. J Cereal Sci. (2006) 44:101–12. doi: 10.1016/j.jcs.2006.04.003

Crossref Full Text | Google Scholar

58. Liu, W, Yin, T, Zhao, Y, Wang, X, Wang, K, Shen, Y, et al. Effects of high temperature on rice grain development and quality formation based on proteomics comparative analysis under field warming. Front Plant Sci. (2021) 12:746180. doi: 10.3389/fpls.2021.746180

PubMed Abstract | Crossref Full Text | Google Scholar

59. Wroblewitz, S, Hüther, L, Manderscheid, R, Weigel, HJ, Wätzig, H, and Dänicke, S. Effect of rising atmospheric carbon dioxide concentration on the protein composition of cereal grain. J Agric Food Chem. (2014) 62:6616–25. doi: 10.1021/jf501958a

PubMed Abstract | Crossref Full Text | Google Scholar

60. Sita, K, Sehgal, A, Bhandari, K, Kumar, J, Kumar, S, Singh, S, et al. Impact of heat stress during seed filling on seed quality and seed yield in lentil (Lens culinaris Medikus) genotypes. J Sci Food Agric. (2018) 98:5134–41. doi: 10.1002/jsfa.9054

PubMed Abstract | Crossref Full Text | Google Scholar

61. Su, D, Lei, BT, Li, ZW, Cao, ZZ, Huang, FD, Pan, G, et al. Influence of high temperature during filling period on grain phytic acid and its relation to spikelet sterility and grain weight in non-lethal low phytic acid mutations in rice. J Cereal Sci. (2014) 60:331–8. doi: 10.1016/j.jcs.2014.04.010

Crossref Full Text | Google Scholar

62. Choukri, H, El Haddad, N, Aloui, K, Hejjaoui, K, El-Baouchi, A, Smouni, A, et al. Effect of high temperature stress during the reproductive stage on grain yield and nutritional quality of lentil (Lens culinaris Medikus). Front Nutr. (2022) 9:857469. doi: 10.3389/fnut.2022.857469

PubMed Abstract | Crossref Full Text | Google Scholar

63. Wu, G, Johnson, SK, Bornman, JF, Bennett, SJ, Singh, V, Simic, A, et al. Effects of genotype and growth temperature on the contents of tannin, phytate and in vitro iron availability of sorghum grains. PLoS One. (2016) 11:e0148712. doi: 10.1371/journal.pone.0148712

PubMed Abstract | Crossref Full Text | Google Scholar

64. Guo, X, Huang, B, Zhang, H, Cai, C, Li, G, Li, H, et al. T-FACE studies reveal that increased temperature exerts an effect opposite to that of elevated CO2 on nutrient concentration and bioavailability in rice and wheat grains. Food Energy Security. (2022) 11:e336. doi: 10.1002/fes3.336

Crossref Full Text | Google Scholar

65. Shamloo, M, Babawale, EA, Furtado, A, Henry, RJ, Eck, PK, and Jones, PJ. Effects of genotype and temperature on accumulation of plant secondary metabolites in Canadian and Australian wheat grown under controlled environments. Sci Rep. (2017) 7:9133. doi: 10.1038/s41598-017-09681-5

PubMed Abstract | Crossref Full Text | Google Scholar

66. Garmendia, I, Rashidi, S, Quezada-Salirrosas, MR, and Goicoechea, N. Atmospheric CO 2 concentration affects the life cycle, yield, and fruit quality of early maturing edible legume cultivars. J Sci Food Agric. (2022) 102:3964–71. doi: 10.1002/jsfa.11743

PubMed Abstract | Crossref Full Text | Google Scholar

67. Zhang, B, Liu, W, Chang, SX, and Anyia, AO. Water-deficit and high temperature affected water use efficiency and arabinoxylan concentration in spring wheat. J Cereal Sci. (2010) 52:263–9. doi: 10.1016/j.jcs.2010.05.014

Crossref Full Text | Google Scholar

68. Moughan, PJ, and Rutherfurd, SM. Gut luminal endogenous protein: implications for the determination of ileal amino acid digestibility in humans. Br J Nutr. (2012) 108:S258–63. doi: 10.1017/S0007114512002474

PubMed Abstract | Crossref Full Text | Google Scholar

69. Devi, S, Varkey, A, Sheshshayee, MS, Preston, T, and Kurpad, AV. Measurement of protein digestibility in humans by a dual-tracer method. Am J Clin Nutr. (2018) 107:984–91. doi: 10.1093/ajcn/nqy062

PubMed Abstract | Crossref Full Text | Google Scholar

70. Kashyap, S, Bellam, HR, Preston, T, Devi, S, and Kurpad, AV. Measurement of true indispensable amino acid digestibility by the dual isotope tracer technique: A methodological review. J Nutr. (2023) 153:17–26. doi: 10.1016/j.tjnut.2022.11.017

PubMed Abstract | Crossref Full Text | Google Scholar

71. Mariotti, F, Mahe, S, Benamouzig, R, Luengo, C, Daré, S, Gaudichon, C, et al. Nutritional value of [15N]-soy protein isolate assessed from ileal digestibility and postprandial protein utilization in humans. J Nutr. (1999) 129:1992–7. doi: 10.1093/jn/129.11.1992

PubMed Abstract | Crossref Full Text | Google Scholar

72. Gausserès, N, Mahé, S, Benamouzig, R, Luengo, C, Drouet, H, Rautureau, J, et al. The gastro-ileal digestion of 15N-labelled pea nitrogen in adult humans. Br J Nutr. (1996) 76:75–85. doi: 10.1079/BJN19960010

PubMed Abstract | Crossref Full Text | Google Scholar

73. Grusak, MA. Intrinsic stable isotope labeling of plants for nutritional investigations in humans. J Nutr Biochem. (1997) 8:164–71. doi: 10.1016/S0955-2863(97)00017-X

Crossref Full Text | Google Scholar

74. Schadereit, R, Krawielitzki, K, and Herrmann, U. 15N transamination in the administration of various tracer substances. 1. Whole body studies in rats. Archiv fur Tierernahrung. (1986) 36:783–92. doi: 10.1080/17450398609434346

PubMed Abstract | Crossref Full Text | Google Scholar

75. Commerford, SL, Carsten, AL, and Cronkite, EP. The distribution of tritium among the amino acids of proteins obtained from mice exposed to tritiated water. Radiat Res. (1983) 94:151–5. doi: 10.2307/3575870

PubMed Abstract | Crossref Full Text | Google Scholar

76. van der Wielen, N, Khodorova, NV, Gerrits, WJ, Gaudichon, C, Calvez, J, Tomé, D, et al. Blood 15N: 13C enrichment ratios are proportional to the ingested quantity of protein with the dual-tracer approach for determining amino acid bioavailability in humans. J Nutr. (2020) 150:2346–52. doi: 10.1093/jn/nxaa205

PubMed Abstract | Crossref Full Text | Google Scholar

77. Kashyap, S, Varkey, A, Shivakumar, N, Devi, S, Reddy, BHR, Thomas, T, et al. True ileal digestibility of legumes determined by dual-isotope tracer method in Indian adults. Am J Clin Nutr. (2019) 110:873–82. doi: 10.1093/ajcn/nqz159

PubMed Abstract | Crossref Full Text | Google Scholar

78. Matthews, DM, and Adibi, SA. Peptide absorption. Gastroenterology. (1976) 71:151–61. doi: 10.1016/S0016-5085(76)80117-5

Crossref Full Text | Google Scholar

79. Gaudichon, C, Bos, C, Morens, C, Petzke, KJ, Mariotti, F, Everwand, J, et al. Ileal losses of nitrogen and amino acids in humans and their importance to the assessment of amino acid requirements. Gastroenterology. (2002) 123:50–9. doi: 10.1053/gast.2002.34233

PubMed Abstract | Crossref Full Text | Google Scholar

80. Evenepoel, P, Geypens, B, Luypaerts, A, Hiele, M, Ghoos, Y, and Rutgeerts, P. Digestibility of cooked and raw egg protein in humans as assessed by stable isotope techniques. J Nutr. (1998) 128:1716–22. doi: 10.1093/jn/128.10.1716

PubMed Abstract | Crossref Full Text | Google Scholar

81. Kashyap, S, Shivakumar, N, Varkey, A, Duraisamy, R, Thomas, T, Preston, T, et al. Ileal digestibility of intrinsically labeled hen's egg and meat protein determined with the dual stable isotope tracer method in Indian adults. Am J Clin Nutr. (2018) 108:980–7. doi: 10.1093/ajcn/nqy178

PubMed Abstract | Crossref Full Text | Google Scholar

82. Kashyap, S, Shivakumar, N, Sejian, V, Deutz, NE, Preston, T, Sreeman, S, et al. Goat milk protein digestibility in relation to intestinal function. Am J Clin Nutr. (2021) 113:845–53. doi: 10.1093/ajcn/nqaa400

PubMed Abstract | Crossref Full Text | Google Scholar

83. Devi, S, Varkey, A, Dharmar, M, Holt, RR, Allen, LH, Sheshshayee, MS, et al. Amino acid digestibility of extruded chickpea and yellow pea protein is high and comparable in moderately stunted south Indian children with use of a dual stable isotope tracer method. J Nutr. (2020) 150:1178–85. doi: 10.1093/jn/nxaa004

PubMed Abstract | Crossref Full Text | Google Scholar

84. Kashyap, S, Shivakumar, N, Varkey, A, Preston, T, Devi, S, and Kurpad, AV. Co-ingestion of black tea reduces the indispensable amino acid digestibility of hens’ egg in Indian adults. J Nutr. (2019) 149:1363–8. doi: 10.1093/jn/nxz091

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: climate change, grain protein, antinutrients, protein digestibility, dual isotope tracer technique

Citation: Kashyap S, Reddy BHR, Devi S and Kurpad AV (2024) Potential impact of climate change on dietary grain protein content and its bioavailability-a mini review. Front. Nutr. 11:1397219. doi: 10.3389/fnut.2024.1397219

Received: 07 March 2024; Accepted: 14 August 2024;
Published: 27 August 2024.

Edited by:

Wouter Hendriks, Wageningen University and Research, Netherlands

Reviewed by:

Yuri Shavrukov, Flinders University, Australia
Paul Moughan, Massey University, New Zealand
Cheng Xue, Hebei Agricultural University, China

Copyright © 2024 Kashyap, Reddy, Devi and Kurpad. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Anura V. Kurpad, a.kurpad@sjri.res.in

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