REVIEW article

Front. Sustain. Food Syst., 26 October 2022

Sec. Climate-Smart Food Systems

Volume 6 - 2022 | https://doi.org/10.3389/fsufs.2022.960159

Diversity of quinoa genetic resources for sustainable production: A survey on nutritive characteristics as influenced by environmental conditions

  • 1. Gene Bank, Crop Research Institute, Prague, Czechia

  • 2. Faculty of Tropical AgriSciences, Czech University of Life Sciences Prague, Prague, Czechia

  • 3. Quality of Plant Products, Crop Research Institute, Prague, Czechia

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Abstract

Environmental extremes and climatic variability have enhanced the changes in numerous plant stressors. Researchers have been working to improve “major” crops for several decades to make them more adaptable and tolerant to environmental stresses. However, neglected and underutilized crop species that have the potential to ensure food and nutritional security for the ever-growing global population have received little or no research attention. Quinoa is one of these crops. It is a pseudocereal, considered a rich and balanced food resource due to its protein content and protein quality, high mineral content, and health benefits. This review provides currently available information on the genetic resources of quinoa and their quality in terms of variability of economically important traits such as yield, and the content of bioactive compounds, such as protein and amino acid composition. The influence of variety and environmental conditions on selected traits is also discussed. The various types of nutrients present in the different varieties form the basis and are key for future breeding efforts and for efficient, healthy, and sustainable food production.

Introduction

Most staple foods comprise grain crops; therefore, feeding the ever-increasing global population means increasing the production of these crops (Bvenura and Kambizi, 2022). But it is well known that climate change is rapidly degrading the conditions of crop production. Salinization and aridity are forecasted to increase in most parts of the world (Choukr-Allah et al., 2016). Moreover, globally, the food crisis is mainly triggered by shocks such as drought and escalated by trade restrictions leading to price rises as an impact of the Covid-19 pandemic and as a consequence of the current war in Ukraine (Rahut et al., 2022).

As a consequence of this reality, new stress-tolerant or new alternative crops or species must be identified and used for future food security (Choukr-Allah et al., 2016). The present situation is that common wheat, rice, and maize as major crops seem to be near 80% of their potential. This shows the potential of many small-scale and marginal crops and wild plants that can be used as high-quality food sources. Since many of these species are well adapted to extreme environments, their role in the current scenario of climate change has become extremely important (Chrungoo and Chettry, 2021).

These crops have the potential to complement the major cereals and play a greater role in a safe household diet. A better understanding of these crops that feed the world and their potential role in nutrition will help secure their future and ensure food and nutrition security. Chenopodium quinoa Willd. was selected as one of the crops that will contribute to food security in the twentifirst century, because of its high resilience to extreme environmental conditions and its qualities as a functional food (Bvenura and Kambizi, 2022; Singh et al., 2022) and a potentially strategic crop that plays a vital role in food security and sovereignty (Rojas et al., 2015). In addition, quinoa has gained importance in international consumer markets in the last decade, which provides economic opportunities for Andean producers (Anaya et al., 2022). On the other hand, quinoa could be used for crop diversification in Europe and other parts of the world, outside of its genetic origin, as an alternative for marginal agricultural land (Jacobsen, 2017).

In the present work, we attempt to summarize the available information about quinoa genetic resources for the whole world by highlighting the situation in the Czech Republic. We also explore the results of current research focused on nutraceutical properties, including carbohydrates, lipids, proteins, amino acids, vitamins, and minerals. This overview provides an insight into the enormous variability of morpho-phenological traits and nutritive components which are possessed by quinoa germplasm cultivated in different global conditions and shows us how important it is to conserve and protect this richness.

Conservation of global quinoa genetic resources and history of research on quinoa in the Czech Republic

Quinoa plant genetic resources are essential for food and nutrition security and sovereignty of peoples, and they make a significant contribution to meeting the basic needs of humanity. They are part of ancestral and cultural heritage, especially for the countries of the Andean region. Their conservation and sustainable use are therefore the responsibility of society as a whole (Rojas et al., 2015). Quinoa is one of the underutilized crops with public breeding or evaluation programmes in South American countries such as Peru, Ecuador, and Bolivia (Galluzzi and Noriega, 2014). Quinoa seeds of different accessions are currently being conserved in several gene banks around the world (ex situ conservation). However, conservation of agrobiodiversity means conservation of the associated culture, that of indigenous farmers living in the Andean region (Bazile et al., 2016a; Jacobsen, 2017). Thus, although the importance of gene banks for biodiversity conservation is well known, the success of future conservation and breeding programmes depends on the transfer of knowledge and associated practices that can help to adapt quinoa to new regions (Ruiz et al., 2014).

Quinoa germplasm and its wild relatives are estimated at 16,422 accessions worldwide; it is held in 59 institutions (universities, gene banks, research, and agricultural institutions) in 30 countries around the world. 88% of accessions are conserved within the Andean region. The largest collections of quinoa and its wild relatives are held by institutions in Bolivia and Peru, with more than 6,000 accessions (Rojas et al., 2015). Compared to published data from many years ago about quinoa accessions conserved in gene banks (Jacobsen and Mujica, 2002), the collection, characterization, and evaluation of quinoa genetic resources have greatly improved in recent years.

According to available data, the genetic resources of quinoa conserved in collections outside the Andean region comprise a total of 2,137 accessions (Table 1). In the database, the biological status of 1,329 accessions is indicated as traditional cultivar/landrace, 552 accessions are listed as wild, while 1,007 accessions are shown as advanced/improved cultivar, and 100 accessions as others (Genesys, 2022). The provenance of accessions is mostly Peru, followed by the USA and Bolivia. In 1,329 accessions the type of germplasm storage is not identified, 543 genetic resources are kept in as long-term seed collection, 193 are conserved in seed collection, and 45 accessions in the short-term collection. In total, 478 accessions have safety duplication in Svalbard Global Seed Vault in Norway and 143 accessions in National Seed Storage Laboratory, USDA-ARS in the USA. Most of the accessions (1,306) are conserved in the International Center for Biosaline Agriculture in the United Arab Emirates. In Europe, the largest collection (528 accessions) is held by the Genebank of Leibniz Institute of Plant Genetics and Crop Plant Research in Germany (Eurisco, 2022).

Table 1

CountryHolding InstituteInstitute codeNo. of accessions
United Arab EmiratesInternational Center for Biosaline AgricultureARE0031,306
GermanyGenebank, Leibniz Institute of Plant Genetics and Crop Plant ResearchDEU146528
United StatesNorth Central Regional Plant Introduction Station, USDA-ARS, NCRPISUSA020162
United KingdomGenetic Resources Unit, Institute of Biological, Environmental and Rural Sciences, Aberystwyth UniversityGBR01623
HungaryCentre for Plant DiversityHUN00319
SlovakiaNAFC-Research Institute of Plant ProductionSVK00114
AustraliaAustralian Grains Genebank, Agriculture VictoriaAUS16513
EthiopiaInternational Livestock Research InstituteETH01311
SloveniaCrops and Seed Production Department, Agricultural Institute of SloveniaSVN0195
AustraliaAustralian Pastures GenebankAUS1674
Others20
Total2,105

Quinoa genetic resources in collections outside the South American region (Genesys, 2022).

In the Czech Republic, research on quinoa genetic resources began in 1999 with Dr. Anna Michalová, who obtained 22 quinoa genotypes from South America. Subsequently, a working collection of quinoa genotypes was established in the gene bank of the Crop Research Institute in Prague. The quinoa accessions were evaluated under field conditions for selected agro-morphological traits (days to flowering, days to harvest, 1,000-seed weight, etc.), and selected nutritional components in the seeds (crude protein content) were also analyzed in the laboratory. Evaluation of the quinoa working collection was stopped until 2016 when Dr. Dagmar Janovská and Dr. Petra Hlásná Cepková resumed work on quinoa genetic resources cultivated under the conditions of the Czech Republic. Currently, the working collection of quinoa includes 70 genotypes. They are being tested under field conditions using descriptors for quinoa and its wild relatives (Bioversity International et al., 2013) while analyses are being conducted in the laboratory to determine the nutritional quality of the seeds of each genotype. The promising material will be used for future breeding purposes.

Global production of quinoa

At present, quinoa is grown throughout North and South America, Europe, Asia, Africa, and Oceania (Hinojosa et al., 2021). Alongside South American countries, China, India, and some European countries cultivate quinoa (Bazile and Baudron, 2015; Mosyakin and Schwartau, 2015; Yang et al., 2019). However, the biggest world producers remain countries of the traditional region of quinoa cultivation: Peru, with the production of 100,115 t; Bolivia, with 70,170 t (Faostat, 2022); and Ecuador, with more than 4,500 t (Hinojosa et al., 2021), while the United States is the top importer (Bvenura and Kambizi, 2022). The global harvested area of quinoa almost doubled last decade from 95,979 ha in 2010 to 188,878 ha in 2020. Annual production in China was 20,000 t in 2018 and harvested area reached nearly 12,000 ha (Yang et al., 2019). Globally, the average yield slightly increased from 0.83 t.ha−1 in 2010 to 0.93 t.ha−1 in 2020 (Faostat, 2022). For example, in Ecuador, the obtained yield in the variety comprises 66% of the total quinoa area which is 1.30 t.ha−1 (Hinojosa et al., 2021).

In the last decade, quinoa has evolved from being a neglected traditional food to an important export crop, promoted as a “superfood” throughout the Western world (Bazile and Baudron, 2015; Nuñez De Arco, 2015). Rising demand among Western consumers has created new economic opportunities for quinoa farmers in Bolivia's southern Altiplano. The negative aspect of the high interest in quinoa and the extreme increase in demand for quinoa seeds is that it has caused a spectacular increase in market price (Tschopp et al., 2018). However, this quinoa boom has brought environmental disaster in the traditional regions of quinoa cultivation in Bolivia (Jacobsen, 2011). Similarly, in Peru, the area under quinoa cultivation has been expanded by 264% and its cultivation has spread to all regions of Peru (Bedoya-Perales et al., 2018) which had a strong negative impact on the environment – soil degradation, pest, and diseases occurrence; likewise on socio-economic links and relations in local communities (Jacobsen, 2011). In the context of the above-mentioned facts, countries of the Andean region have tried to make a great effort to establish a harmonious interaction between socio-economic and environmental demands (Bedoya-Perales et al., 2018) and apply strategies for saving quinoa diversity, established breeding and research priorities, built more transparent commercial chain policy, and ensure more efficient cooperation with local farmers and cooperatives to decrease the negative impact of quinoa growth expansion (Ruiz et al., 2014; Bazile and Baudron, 2015; Bazile et al., 2016a; Bedoya-Perales et al., 2018; Hinojosa et al., 2021).

Quinoa's adaptability to a diverse environment

In different countries around the world, farmers and researchers have been trying to find, test and introduce nutritionally valuable seed crops that would be suitable for diverse growing conditions, achieve satisfactory yields, and offer versatile applications in food production and consumption (Gardner et al., 2019; Toderich et al., 2020; Habiyaremye et al., 2022).

To fully exploit the potential of the crop for marginal environments, identification of new and high-yielding quinoa genotypes with good local adaptation and high nutritional quality are crucial, which requires intensified screening and adaptation research (Choukr-Allah et al., 2016).

Recently, the performance of different quinoa genotypes in different global environments with an emphasis on their adaptability and seed nutritional quality has been studied in many countries and regions (Table 2). The considerable variability in yield for different quinoa genotypes in the different environments was confirmed outside of the Andean region. The lower yields were observed at 0.08 t.ha−1 in Morocco (Taaime et al., 2022) and the highest at 7.86 t.ha−1 (Thiam et al., 2021) also in Morocco. The range of yield in experimental fields of the Czech Republic in 2018–2021 was estimated between 0.12 and 3.99 t.ha−1 (unpublished data). Observed yield levels in Northern Europe were 1–3 t.ha−1 (Pulvento et al., 2012; Jacobsen, 2017; Prager et al., 2018; De Bock et al., 2021b; Granado-Rodriguez et al., 2021b; Matías et al., 2021). However, quinoa yields over the years have remained unpredictable and very low, averaging between 1.2 and 1.4 t.ha−1 while the maximum attainable yield can be up to 8–10 t.ha−1 in Morocco. A range of factors was suggested as affecting production, such as the choice of cultivars, optimal sowing date, and nutrient management was suggested affecting the production (Choukr-Allah et al., 2016). In the same way, high salinity can reduce the yield significantly (Hussain et al., 2020). Grain yield was more influenced by the environment and the genotype-environment interactions. The results of (Thiam et al., 2021) confirmed the significance and challenge of evaluating the varietal grain yield stability across contrasting environments.

Table 2

Plant MaterialGrowing conditionLocality, countryAgro-morphological evaluationBiochemical markersSeed yieldsReferences
468 genotypesDrip irrigationDubai, the United Arab Emirates11 morphological traits400 seed metabolitesn.d.Tabatabaei et al. (2022)
two cultivar ICBA-Q5, TiticataField, supplemental irrigationRehamna region, MoroccoPhysiological and morphological traits in plants, yield, and its componentsn. d.0.08–0.84 t.ha−1Taaime et al. (2022)
nine novel quinoa genotypes and 1 commercial cultivar Regalona BaerField with full and reduced irrigationAtacama DesertPhysiological and morphological traits in plants, thermal infrared and hyperspectral imagingn. d.2.45–3.24 t.ha−1Dumschott et al. (2022)
15 quinoa varieties and five breeding linesEastern lowland region and Highland region, exp. fieldsthe Eastern lowland and northern highlands, RwandaEmergency, Days to flowering, Days to maturity, Plant height, Grain yieldn. d.Min: 0.14 t.ha−1 QuF9P1-20 Max: 3.00 t.ha−1 NL-6Habiyaremye et al. (2022)
30 quinoa accessionsGreenhouseTunja, Columbia12 qualitative and 9 qualitative traitsn. d.n.d.Manjarres-Hernandez et al. (2021)
13 quinoa commercial or selected varietiesField experimentsNorth-West European, Melle, BelgiumSeed characteristicsChemical composition of seedsMin: 0.47 t.ha−1 Atlas, Pasto Max: 3.42 t.ha−1 Vikinga, TiticacaDe Bock et al. (2021b)
Cultivars Regalona, Puno, titicaca, Vikinga, Q3, Q5Field experiments under irrigationZamadueñas, SpainSeed weight, area, viability, color, and germination rate, grain yieldSaponin content, protein content, AA profile, mineral content, FRAP assay, TPC, TFCMin: 0.70 t.ha−1 Vikinga Max: 3.25 t.ha−1 Q3 cultivarGranado-Rodriguez et al. (2021a)
Jessie, Marisma, Roja, Duquesa, PastoField experiments under irrigationSouthwestern SpainAbove-ground biomass, HI, seed yield, 1000-SW, nutrient uptakeMoisture, fat, total dietary fiber, protein, carbohydrate, mineral, and ash contentsMin: 1.58 t.ha−1 Roja Max: 3.04 t.ha−1 MarismaMatías et al. (2021)
Regalona, AG 2010, Cauhil, MoradoField experiments under 5 irrigation treatmentsDiguillín Province, Ñuble Region, ChileSeed yield, seed yield efficiencyTotal protein content, globulin and albumin yield, and technical efficiencyMin: 0.41 t.ha−1 Morado Max: 3.35 t.ha−1 CahuilPinto et al. (2021)
KVL-SRA2, Chipaya, Q-37Field experimentCairo, EgyptPlant growth performance, leaf pigmentProtein, ash, fat, dietary fiber, total carbohydrate content, total saponin, and tannin content, TPC, TFCMin: 1.20 t.ha−1 KVL-SRAZ Max: 2.40 t.ha−1 Q-37El-Serafy et al. (2021)
14 genotypesField experimentsRabat, El Kbab, Meknes, Berrechid, TinejdadGermination rate, seed size and yield, plant height, stem diameter, dry matter, HI, 1000-SW, Peronospora farinosa sensitivityn. d.Min: 0.00 t.ha−1 Amarilla de Marangani Max: 7.83 t.ha−1 SW2Thiam et al. (2021)
Q5 varietyThree levels of salinity, greenhauseKarakalpakstan, UzbekistanPlant height, shoot lengths, panicle weight, seed yield, 1,000-seed weightProtein content, AA content, oil content, FA content, Element contentn.d.Toderich et al. (2020)
six quinoa accessionsField experimentsNorthern IsraelBiomass and seed characterizationChemical composition of seeds and biomassMin: 1.54 t.ha−1 accession 5 Max: 6.36 t.ha−1 accession 4EAsher et al. (2020)
six quinoa genotypes - Q18, Q21, Q22, Q29, AMES 13761, NSL 106398Field experiments with three salinity treatments, drip irrigationDubai, United Arab EmiratesVarious morphological traits of plants, seed yield, yield stability, HIProtein contentMin: 1.27 t.ha−1 Q21 genotype
Max: 2.30 t.ha−1 Q18 genotype
Hussain et al. (2020)
Q5 varietyThe circular drainable lysimetersSemi-arid area with a warm climate, Bahgar, IranCrop evapotranspiration, grain yield, biomass, water productivityn. d.n.d.Ahmadi et al. (2019)
Different varietiesField24 provinces of ChinaGrain yieldProtein contentMin: 1.48 t.ha−1 Longli
Max: 5.27 t.ha−1 Qingli-1
Yang et al. (2019)
Cultivar Regalona, Salcedo-INIA, TiticacaRainfed field experimentsEl Pobo, Teruel, Spain; Arequipa, Peru; Río Hurtado, ChileGrain yield, seed weight per plant, HI, plant height, Stem diameter, panicle length and diameter, plant weight, days to flowering, and maturityMineral composition, phytate content, protein content, AA content, FRAP assay, fiber, and saponin contentMin: 1.53 t.ha−1 Titicaca
Max: 5.17 t.ha−1 Salcedo
Reguera et al. (2018)
Jessie, Titicaca, Puno, ZenoField experimentsSouthwestern GermanySoil mineral content, grain yield, 1000-SW,Total protein, lipid content, FA and AA profile, saponin content1.73–2.43 t.ha−1Prager et al. (2018)
Commercial genotype Regalona and one quinoa accessionsThree thermal treatments (increased night temperatures), exp. fieldsValvidia, ChilePhysiological and morphological traits of biomass, grain yields, chlorophyll content, water-soluble carbohydrates, grain protein contentn. d.Min: 2.93 t.ha−1 Accession
Max: 6.00 t.ha−1 Regalona
Lesjak and Calderini (2017)
F2:5 populationField experimentsCoastal environment, Rabat, Morocco16 qualitative and seven qualitative traitsn. d.n. d.Benlhabib et al. (2016)
10 landraces, eight varieties under development,three registered varieties2–5 sites in nine countriesNorth Africa, the Near East, Asia19 morphological and phenological traitsn.d.Min: 0.20 t.ha−1 Sajama Iranshar
Max: 2.05 t.ha−1 Titicaca
Bazile et al. (2016b)
10 quinoa cultivarsField experiments under irrigationEncalilla, North Western Argentina; Altiplano, BoliviaRoot, aerial, and seed biomass, plant height, grain yieldAA composition, total protein contentMin: 0.38 t.ha−1 Samaranti
Max: 3.86 t.ha−1 Sayana
Gonzalez et al. (2012)
TiticacaField experiment under three salinity treatments and three irrigation regimesSouthern ItalySeed yield, climatic conditions, soil water content, electrical conductivitySaponin content, carbohydrate, protein, oil, ash, and dietary fiber contentMax: 2.3 t.ha−1
Min: 2.7 t.ha−1
Pulvento et al. (2012)

Different quinoa genotypes performance in different environments.

HI, harvest index; TPC, total phenolic content; TFC, total flavonoid content; 1000-SW, weight of thousand seeds; n. d., not defined.

The marginal effect of salt stress on nutritional composition was presented by (Choukr-Allah et al., 2016), whereas (Hussain et al., 2020) reported a significant impact of salt stress on grain protein contents dependent on genotype. However, the salinity common in these regions promotes growth but up to a certain threshold, beyond which growth and productivity start to be negatively affected (Choukr-Allah et al., 2016). In testing 20 quinoa genotypes in two different environments in Rwanda, it was confirmed that low water availability affected the growth and yield of quinoa and there is a need to identify the best genotypes adapted to specific agro-ecological zones and even growing seasons (Habiyaremye et al., 2022).

Rising temperatures are challenge for quinoa as well as for other crops. High temperatures during flowering and heat stress during the vegetative stage in certain quinoa varieties considerably lowered yield and changed protein and fiber content (Matías et al., 2021). In the growing conditions of Chile, the influence of increased night temperature on quinoa plants was evaluated (Lesjak and Calderini, 2017). Grain yields were reduced in the range of 12–31% by increased night temperatures. Similarly, the aboveground biomass was affected negatively in contrast with values for harvest index, individual grain weight, grain protein content, and water-soluble carbohydrates, which have changed only slightly.

In Chile, the local landrace genotype Cahuil had the best performance regarding seed yield under water stress (Pinto et al., 2021). Further, the genotype Titicaca (originating from the Andes) showed a good adaptation to the Mediterranean environment with tolerance to salinity and drought (Pulvento et al., 2012). On the other side, in some regions of southeast China, the combination of the high temperatures and heavy rainfalls had negative effects on the growth of quinoa. Fortunately, quinoa germplasm collected from Taiwan showed resistance to high temperatures and heavy rainfalls (Yang et al., 2019). In quinoa growing in the conditions of Morocco, optimal temperatures (10–25°C), high and well-distributed precipitation, and short photoperiods contributed to better growth and the highest yield (Taaime et al., 2022). The susceptibility of quinoa to temperatures above 32°C was confirmed due to the flower closing during the day and limited pollination caused a reduction of the yield by up to 86% (Tovar et al., 2020).

The high degree of variability in the performance of nutritional profiles of quinoa seeds under various salinity stress was assessed while the nutritional value of seeds remained unchanged, especially the high protein content, all essential amino acids, high mineral content, and flavonoids (Pulvento et al., 2012; Toderich et al., 2020). On the other hand, high temperatures increased protein and fiber content (Matías et al., 2021).

However, the establishment of this crop in many agronomical areas outside South America is still limited. It could be considered that the quinoa cultivar selection process remains unfinished for new cultivation areas, including those located in southern Europe which are characterized by having intense precipitations at early growth stages and high temperatures at later stages of crop development (Granado-Rodriguez et al., 2021b). There is still very limited information regarding the stability of seed nutritional characteristics under changing environments (Granado-Rodriguez et al., 2021b).

As with any other new crop, one of the key factors for the successful introduction and establishment of quinoa under new climatic conditions will be the identification of appropriate planting material. Therefore, it is important to study the adaptation and yield of several potential quinoa genotypes from different provenances to select the most promising ones suitable for the local agro-climatic conditions (Choukr-Allah et al., 2016). Not only should adaptation of quinoa be discussed, but also sustainable establishment in a new environment.

Nutritional characteristics of quinoa seeds and plants

Quinoa has outstanding nutritional value in all its edible parts – seeds and leaves, which were recognized even by ancient populations that considered quinoa a sacred food (Jacobsen et al., 2003). Quinoa seeds are a superior source of vitamins, minerals, dietary fiber, and lipids with the presence of health-beneficial polyunsaturated fatty acids (Repo-Carrasco et al., 2003). As reported by Schlick and Bubenheim (1996), quinoa is one of the single food sources that can supply all essential macro and micronutrients required for balanced human nutrition.

Carbohydrates, starch, and total dietary fiber

Quinoa seeds contained a relatively high amount of carbohydrates, with the content ranging from about 42% reported in the variety “Roja” up to 83% found in accessions cultivated in Peru (Encina-Zelada et al., 2017). As summarized in Table 3, there are significant differences in carbohydrate content in various genotypes. For example, Miranda et al. (2012) detected higher carbohydrate content in Chilean highland ecotypes as opposed to southern ecotypes. Pereira et al. (2019) reported slightly higher mean carbohydrate content in black and white varieties but lower in red varieties. In spite of that, many other variables modify total carbohydrate content, such as environmental conditions and sowing date. For example, in sea level genotypes and one cross genotype cultivated in Argentina, winter sowing at 18°C resulted in expanded seed weight, and therefore higher carbohydrate content in seeds (Curti et al., 2018). On the other hand, high carbohydrate content negatively affects total protein content (Craine and Murphy, 2020; De Bock et al., 2021a,b).

Table 3

Sample GenotypeSeed colorProduction areaCarbohydrate contentReferences
Genotype nameHighland ecotypes: Ancovinto, Cancosa
Central ecotypes: Cahuil, Faro
Southern ecotypes: Regalona, Villarrica
n. d.ChileMin: 56.54 1 Villarrica
Max: 68.12 1 Ancovinto
Miranda et al. (2012)
n = 78 accessionsn. d.Bolivia
Brazil
Peru
Min: 43.64 1
Max: 76.37 1
Ferreira et al. (2015)
n = 77 accessionsBeige
Black
Orange
Yellow
PeruMin: 78.48 1
Max: 82.89 1
Encina-Zelada et al. (2017)
Realn. d.Colombia68.30 1Contreras-Jimenez et al. (2019)
Cica
Kamiri
Inga Pirca
ArgentinaMin: 72.81 2 Inga Pirca
Max: 74.74 2 Kamiri
Contreras-Jimenez et al. (2019)
F5:F6 advanced breeding lines
Cherry Vanilla
CO407 Dave Kaslaea
n. d.USAMin: 69.56 2
Max: 74.00 2
Craine and Murphy (2020)
Atlas
Jessie
Marisma
Pasto
Pot_4
Roja
n. d.SpainMin: 41.52 3 Roja
Max: 52.62 3 Pasto
Gomez et al. (2021)
Blanca real
Nariño
Pasankalla
Soracá
Puno
Titicaca
n. d.ColombiaMin: 56.00 1 Puno
Max: 70.66 1 Pasankalla
Garcia-Parra et al. (2022)
Iniap Tunkahuann. d.Ecuador60.37 1Villacres et al. (2022)
Seed colorCommercial – unknown (n = 29)
Blanca Kancolla
Blanca Hualhuas
Negra Collana
Negra Pasankalla
Pasankalla Roja
Pasankalla
Rosada de Huancayo
Salcedo INIA
Black
Red
White
Peru
Spain
Min: 75.3 2 Red quinoa
Max: 77.0 2 White quinoa
Pereira et al. (2019)

Variability of the carbohydrate content in quinoa seeds divided according to the genotype name and seed color.

1

The results are expressed as %.

2

The results are expressed as g.100 g−1 of dry weight.

3

The results are expressed as g.100 g−1 of fresh weight. Max, maximum value; Min, minimum value; n. d., not defined.

In terms of environmental influence, increased carbohydrate content was reported for lowland/coastal quinoa genotypes “Regalona Baer” and “Villarrica” in arid conditions with lower soil organic matter content and a mean temperature of approximately 18°C during the growing season (Miranda et al., 2013). Experiments conducted with genotypes cultivated in Spain resulted in decreased carbohydrate content in a growing season with a mean temperature of approximately 25°C, in contrast to a growing season with a mean temperature lowered by 5°C (Matías et al., 2021). This was also supported by Garcia-Parra et al. (2022), indicating the highest carbohydrate content (65.5%) in cultivars grown in a cold climate.

The most prevailing component of quinoa carbohydrates is starch, situated primarily in the perisperm, in contrast to the cereals (Burrieza et al., 2014). The minimal value for starch content was 44%, found in genotype “Cica” (Jimenez et al., 2019) cultivated in Argentina, whereas the most abundant starch content of 72.5% was described by (De Bock et al., 2021b) in genotype “Titicaca” grown under North-West European field conditions. Nonetheless, the values for total carbohydrate content in this study varied between different years of field experiments. Similarly, (Grimberg et al., 2022) characterized the genotype “Titicaca” as one with the most prominent starch content. (Aluwi et al., 2017) evaluated maximal starch content in genotype “CO 407D” [64% in dry weight (dw)] and the lowest for “UDEC-1” (55%), both cultivated in the USA.

Quinoa starch is rich in polysaccharide amylopectin, which represents 54–85% of dw (Dong et al., 2021; Kheto et al., 2022). Amylose content is, on the other hand, relatively low. It ranges from approximately 6% in “Tianjing Tibet Quinoa” (Li and Zhu, 2017) up to 20% in the Argentinian variety “Jujuy” (Nascimento et al., 2014). Specific starch and amylopectin structure give quinoa starch various functional properties that can be used in a wide range of food products (Li et al., 2016; Aluwi et al., 2017; Li and Zhu, 2017). Nevertheless, climatic conditions during the growing season may alter final functionality, even though starch biosynthesis is determined primarily by genetics (Garcia-Parra et al., 2021, 2022). Additionally, seed color seems to correlate with starch physiochemical properties, as reported by Peng et al. (2022), in opposition to Li et al. (2016), describing no correlation between the seed color and starch characteristics.

Total dietary fiber (TDF) content in quinoa is also highly heterogenous, ranging from approximately 7% (De Bock et al., 2021a) up to 23% (Granado-Rodriguez et al., 2021b). The variation can be explained by the genotype effect (Curti et al., 2018), but also by growing conditions since fiber content can be enhanced under saline conditions (Pulvento et al., 2012) and high temperatures during the grain filling period (Matías et al., 2021). Negative correlations were found between TDF, carbohydrate, and fat content (Vidueiros et al., 2015). Overall, high amounts of TDF (over 18% TDF) were found in genotypes “Rainbow”, “Faro”, “Baer”, “Colorado 407D” cultivated in Poland (Sobota et al., 2020), “Titicaca” grown in Italy (Pulvento et al., 2012), and “Roja” and “Duquesa” grown in Spain (Matías et al., 2021). Less prominent amounts (below 14% TDF) were presented in “Faro Red”, “Puno” (Sobota et al., 2020), “Pasto” (Matías et al., 2021), white Bolivian and Peruvian quinoas (Pellegrini et al., 2018), “Cica”, “Kamiri” and “Inga Pirca” (Jimenez et al., 2019).

Protein content and amino acid composition

Quinoa seeds are often considered high in protein; yet overall protein content is quite variable (Table 4) and sometimes comparable to or higher than in most cereals such as wheat (12%), oat (13%), rice (7%), and corn (6%) (USDA, 2020). Variations in protein content were significant in several genotypes cultivated in distinctive agro-ecological conditions. For example, the cultivar “Jessie” originating in France was cultivated in Belgium and reached almost 19% protein content (De Bock et al., 2021b), whereas the same genotype cultivated in Germany reached a protein content of approximately 12% (Prager et al., 2018). Nevertheless, “Jessie” cultivated for two years in southwest Spain showed a steady mean protein content of 16.7% (Matías et al., 2021).

Table 4

Genotype nameSeed colorProduction areaProtein contentReference
GenotypeHighland ecotypes: Ancovinto, Cancosa
Central ecotypes: Cahuil, Faro
Southern ecotypes: Regalona, Villarrica
n. d.ChileMin: 11.13 1 Cahuil
Max: 16.18 1 Villarrica
Miranda et al. (2012)
Breeding line AG2010
B080
Regalona
n. d.ChileMin: 17.40 2
Max: 18.90 2
Escuredo et al. (2014)
Jujuy
Salta
n. d.PortugalMin: 12.20 5 Jujuy
Max: 16.30 5Salta
Mota et al. (2016)
n = 12 accessionsCream
Gray
Orange
Yellow
PeruMin: 13.58 1 Quillahuaman INIA, cream
Max: 17.83 1 Pasankalla, gray
Apaza et al. (2015)
n = 9 commercial varieties
Ancovinto Blanco
Ancovinto Roja
Cancosa
Socaire
Cáhuil
Faro
Regalona
Villarrica
Black
Red
White
Bolivia
Chile
Ecuador
USA
Min: 7.47 2 Kalustyan's Black, Peru
Max: 15.73 2 Wegman's Red, Bolivia/Peru
Graf et al. (2016)
n = 28 accessionsn. d.USAMin: 13.00 1 CO 407D WMF
Max: 15.8 1 QuF9P39-64
Aluwi et al. (2017)
n = 77 accessionsBeige
Black
Orange
Yellow
PeruMin: 8.33 1
Max: 11.38 1
Encina-Zelada et al. (2017)
Kvl-sra2
Kvl-sra3
Regalona Q37 Q52
n. d.EgyptMin: 12.03 2 Kvl-sra3
Max: 19.03 2 Kvl-sra2
Saad-Allah and Youssef (2018)
Titicacan. d.Ethiopia13.57 2Agza et al. (2018)
Jessie
Puno
Titicaca
Zeno
n. d.GermanyMin: 16.10 1 Zeno
Max: ≈ 12 1 Jessie
Prager et al. (2018)
Regalona
Salcedo-INIA
Titicaca
n. d.Chile Peru SpainMin: ≈ 14 1 Salcedo, Peru
Max: ≈ 17 1 Regalona, Chile
Reguera et al. (2018)
Altiplano
Pasankalla
Regalona
Titicaca
n. d.n. d.Min: 15.40 1 Titicaca
Max: 20.80 1 Altiplano
Gargiulo et al. (2019)
n = 25 accessionsn. d.PolandMin: 12.40 2 Q629, USA
Max: 15.98 2 Faro, Argentina
Sobota et al. (2020)
F5:F6 advanced breeding lines
Cherry Vanilla
CO407 Dave
Kaslaea
n. d.USAMin: 10.04 3
Max: 13.68 3
Craine and Murphy (2020)
Puno Titicacan. d.MoroccoMin: 13.41 3 Puno
Max: 13.43 3 Titicaca
Mhada et al. (2020)
Q5n. d.Uzbekistan14.40 3Toderich et al. (2020)
n = 13 accessionsDark
White
BelgiumMin: 12.10 2, a Oro de Valle
Max: 18.80 2, a Jessie
De Bock et al. (2021b)
IC341709
IC329184
IC507733
IC107299
NIC22513
NIC22506
n. d.IndiaMin: 14.10 1 IC341709, IC507733
Max: 15.40 1 IC329184, NIC22506
Ghumman et al. (2021)
Puno
Q3
Q3
Regalona
Titicaca
Vikinga
n. d.SpainMin: 13.80 1
Max: 19.10 1
Granado-Rodriguez et al. (2021a)
n = 14 accessionsDark
White
SpainMin: ≈ 9 1 A-SE-06, white
Max: ≈ 16.50 1 A-SE-15, dark
Granado-Rodriguez et al. (2021b)
Gannan
Geermu
Haili
n. d.ChinaMin: 11.60 1 Geermu
Max: 12.60 1 Haili
Jiang et al. (2021)
Duquesa
Jessie
Marisma
Pasto
Roja
n. d.SpainMin: 13.20 1 Roja
Max: 20.40 1 Duquesa
Matías et al. (2021)
Atlas
Jessie
Marisma
Pasto
Pot_4
Roja
n. d.SpainMin: 15.59 4 Pasto
Max: 18.73 4 Atlas
Gomez et al. (2021)
Blanca Real
Nariño
Pasankalla
Soracá
Puno
Titicaca
n. d.ColombiaMin: 12.36 1 Soracá
Max: 16.56 1 Titicaca
Garcia-Parra et al. (2021)
Seed colorBolivian quinoa (BQ)
Peruvian quinoa (PQ)
Spanish quinoa (SQ)
Black
Red
White
Bolivia
Peru
Spain
Min: 11.62 4 SQ, white
Max: 13.66 4 BQ, white
Pellegrini et al. (2018)
Commercial – unknown (n=29)
Blanca Kancolla
Blanca Hualhuas
Negra Collana
Negra Pasankalla
Pasankalla Roja
Pasankalla
Rosada de Huancayo
Salcedo INIA
Black
Red
White
Peru
Spain
Min: 14.4 2 White quinoa
Max: 15.6 2 Red quinoa
Pereira et al. (2019)
n. d.Black
Yellow
PeruMin: 16.20 1 Black quinoa
Max: 18.70 1 Yellow quinoa
Sanchez-Resendiz et al. (2019)

Variability of protein content in quinoa seeds divided according to the genotype and seed color.

1

The results are expressed as %.

2

The results are expressed as g.100 g−1 of dry weight.

3

The results are expressed as g.100 g−1 sample.

4

The results are expressed as g.100 g−1 of fresh weight.

5

The results are expressed as g.100 g−1 of the edible portion on a fresh weight basis.

a

The protein content per variety averaged over the different years of field trials. Max, maximum value; Min, minimum value; n. d., not defined.

The Danish-bred cultivar “Titicaca” was analyzed in at least 10 studies under distinctive environmental conditions. Despite that, this genotype reached analogous values (13–15%) in the cultivation conditions of Ethiopia (Agza et al., 2018), Morocco (Mhada et al., 2020), Belgium (De Bock et al., 2021b), USA (Aluwi et al., 2017), and Germany (Prager et al., 2018). Besides this, slightly higher protein content (above 15%) was observed under cultivation in Poland (Sobota et al., 2020) and Colombia (Garcia-Parra et al., 2022). In addition, Reguera et al. (2018) reported higher protein content for “Titicaca” cultivated in Chile compared to Spain, which follows the results of Granado-Rodriguez et al. (2021a), reaching comparable values in mean protein content averaged for three cultivation years.

Genotype “Regalona”, originating in southern regions of Chile, was described in at least eight studies. The values for protein content were quite inconsistent. Miranda et al. (2012), Graf et al. (2016), and Granado-Rodriguez et al. (2021a) detected protein content reaching approximately 13–15% for “Regalona” cultivated in Chile and Spain, whereas other authors achieved higher values of approximately 17% under field experiments in Chile and Egypt (Lesjak and Calderini, 2017; Reguera et al., 2018; Saad-Allah and Youssef, 2018). Even higher values were achieved by Gargiulo et al. (2019) (18.30%); however, the authors did not define the cultivation location.

The protein content of the Danish cultivar “Puno” was described in at least seven studies. The majority of the results were quite consistent in diverse environments (USA, Germany, Poland, Belgium, Colombia), ranging between 13 and 15% (Aluwi et al., 2017; Sobota et al., 2020; De Bock et al., 2021b; Garcia-Parra et al., 2022). On the other hand, (Garcia-Parra et al., 2021) evaluated slightly reduced protein content, reaching almost 12% in “Puno” cultivated in Colombia.

Although the Peruvian genotype “Pasankalla” was tested in at least 4 studies, the referred values of protein content are quite distant. Apaza et al. (2015) and Gargiulo et al. (2019) discovered protein content of 18.73–20.60%, while Garcia-Parra et al. (2021) and Garcia-Parra et al. (2022) achieved lower values (14.5–15.5%, respectively) during experiments conducted in Colombia. Genotype “Cahuil” originating in central Chile was investigated in a total of three studies. Miranda et al. (2012) reported protein content of 11.13%, whereas Graf et al. (2016) presented a lower concentration of nearly 9%. Aluwi et al. (2017) recognized a much higher protein content of 14.4% under cultivation in the USA.

Nonetheless, there are many factors affecting the resulting protein content. Besides the influence of genotype, the importance of soil matric potential (SMP) and nitrogen fertilization was indicated (Wang et al., 2020). High SMP values (over −55 kPa) cause significant water stress and may also limit nitrogen uptake, which concurs with other studies (Sun et al., 2014; Walters et al., 2016). Therefore, to reach optimal protein content, irrigation is crucial for some genotypes cultivated in adverse soil-water conditions, although slight water stress may enhance protein content (Wang et al., 2020). The intense application of nitrogen from 80 to 240 kg/ha increased protein content by approximately 1.5%. The positive effect of nitrogen fertilization was also presented by Wu et al. (2016) and Jacobsen and Christiansen (2016).

In addition, protein content in quinoa rises under salinity treatment, which was reported for varieties “CO407D”, “UDEC-1”, “Baer”, “QQ065” (Wu et al., 2016), and “NSL106398” (Hussain et al., 2020). In contrast, Ruiz et al. (2016) expressed a drop in protein content by 7–12% in coastal lowland Chilean landraces (“VI-1”, “Villarrica”) and genotype “R49” (salares ecotype). In terms of temperature influence, protein content under heat stress was outstanding in varieties “Pasto”, “Marisma”, “Jessie”, “Roja”, and “Duquesa” (Matías et al., 2021). Garcia-Parra et al. (2022) detected slightly higher mean protein values for cultivation in the cold climate of Colombia, compared to temperate and warm conditions; but, as reported by the authors, protein content was not rapidly affected by elevated temperatures. The exception in this paper was the cultivar “Pasankalla”, showing a decline in protein content in hotter conditions.

Those results suggest the great potential of the selected quinoa genotypes for cultivation in adverse environments. A high correlation was detected between embryo weight ratio and protein content since proteins are mostly stored in the embryo (Gargiulo et al., 2019). Protein content negatively correlates with panicle height and panicle biomass, whereas positive correlations were determined for total phenolic content, antioxidant activity, and saponin content (Granado-Rodriguez et al., 2021b).

Probably even more important than overall protein content is the quality of protein, given by the composition of essential amino acids (EAA). Quinoa protein generally contains all EAAs and several authors throughout the literature have concluded that quinoa protein is complete due to the superior composition of amino acids (AA; Nowak et al., 2016; Maradini et al., 2017; Schmidt et al., 2021). Nonetheless, Craine and Murphy (2020) argue that many of those studies evaluated outdated daily requirements or considered AA requirement values only for adults, not for children, whose requirements for EAAs are greater. The authors further stated that the quinoa protein is only “nearly complete”. Regarding this statement, Boye et al. (2012) labeled valine and lysine as limiting AA for children up to the age of 10 years. In comparison, Gonzalez et al. (2012) suggested lysine, tyrosine, and tryptophan as limiting AA for the age group of 2–5 years. Craine and Murphy (2020) identified low leucine content, which does not achieve the recommended daily requirements for infants and children, therefore considering it as limiting AA.

As expressed in Table 5, the content of each EAA shifted between authors. The most abundant EAA was leucine with the highest content in the variety “Atlas” (Gomez et al., 2021), whereas the least represented EAA was tryptophan, with the content reaching 0.58–1.9 in g.100 g−1 protein in genotypes “Chucapaca” and “Bastille”, respectively (Escuredo et al., 2014; De Bock et al., 2021b). With regards to the previously mentioned limiting AAs, several genotypes accomplished the daily requirements for EAAs in infants and children (WHO/FAO/UNU, 2007). As such, sufficient lysine content (over 5.7 g.100 g−1 protein) was identified in genotypes “Jessie”, “Pasto”, and “CICA”. Valine content (over 4.3 g.100 g−1 protein) was satisfactory in genotypes “Ancovito”, “CICA”, “Jessie”, “Rouge Marie”, “Zwarte”, and “Roja”. Suitable leucine content (over 6.6 g.100 g−1 protein) was found in genotypes “Villarrica”, “Rataqui”, “Atlas”, and “Jessie”. Tryptophan content (over 0.85 g.100 g−1 protein) was met in genotypes “Sajama”, “B080”, “Regalona”, “Zeno”, “Puno”, and all genotypes analyzed by De Bock et al. (2021b) (Table 5).

Table 5

Miranda et al. (2012)Gonzalez et al. (2012) aEscuredo et al. (2014)aPrager et al. (2018)Wang et al. (2020)De Bock et al. (2021b)aGomez et al. (2021)
N. of accessions610346126
Production areaChileBolivia
NW Argentina (A)
Encalilla, Argentina (E)
ChileGermanyChinaBelgiumSpain
Growing seasons20112007–20092010–20112015–2016n. d.2017–20192017
Histidine2.70 Ancovinto, Cahuil
3.50 Villarrica
1.36 Sajama (E)
3.79 CICA (A)
1.71 Regalona
2.17 AG2010
1.33 Zeno (2015)
2.48 Puno (2016)
3.16 QWQ
3.70 QBQ
2.50 Bastille
3.20 Zwarte
3.67 Atlas
8.31 Roja
Isoleucine2.90 Cahuil
3.80 Ancovinto
1.65 Chucapaca (E)
3.40 CICA (A)
0.75 Regalona
0.82 AG2010, B080
2.00 Zeno (2015)
3.19 Puno (2016)
2.80 QWQ
3.58 QBQ
3.90 Zwarte
4.80 Rouge Marie
3.75 Pot_4
4.61 Roja
Leucine6.40 Cahuil
7.20 Villarrica
3.75 Sajama (E)
7.46 Ratuqui (E)
2.27 B080
2.52 Regalona
3.67 Zeno (2015)
5.55 Puno (2016)
5.07 QGQ
6.5 QBQ
7.00 Pasto
7.60 Atlas, Jessie
4.55 Pot_4
5.67 Pasto
Lysine4.10 Cancosa, Cahuil
4.80 Villarrica
2.44 Sajama (E)
6.72 CICA (A)
2.35 AG2010
2.42 B080
2.77 Zeno (2015)
4.99 Puno (2016)
5.07 QWQ
6.02 SWQ
4.60 Rouge Marie
5.90 Pasto
5.40 Atlas
13.55 Jessie
Methionine1.40 Ancovinto
1.90 Villarrica
0.73 Sajama (E)
1.87 CICA (A)
0.31 AG2010
0.69 Regalona
1.10 Zeno (2015)
1.80 Jessie, Puno (2016)
1.67 b QGQ
2.09 b SGQ, QBQ
2.00 Atlas
2.60 Puno
1.37 Pasto
1.64 Atlas
Phenylalanine3.90 Cancosa, Cahuil
4.50 Villarrica
2.26 Sajama (E)
4.55 CICA (A)
1.49 B080
1.54 AG2010
2.20 Zeno (2015)
3.55 Puno (2016)
2.62 c QGQ
3.70 c SWQ
3.60 Zwarte
4.50 Atlas
3.73 Atlas
4.81 Roja
Threonine3.20 Cancosa
3.60 Faro
2.09 Sajama (E)
4.59 CICA (A)
5.53 B080
8.89 Regalona
2.13 Zeno (2015)
3.27 Puno (2015)
1.79 QGQ
2.15 SWQ
3.60 Atlas, Bastille, Rouge Marie
4.40 Zwarte
3.43 Atlas
7.82 Jessie
Tryptophann. d.0.58 Chucapaca
1.05 Sajama
0.99 B080
1.07 Regalona
0.88 Zeno (2016)
1.11 Puno (2016)
n. d.1.50 n = 5 accessions b
1.9 Bastille b
0.40 Pot_4
0.58 Atlas
Valilne4.30 Regalona
4.90 Ancovinto
2.19 Chucapaca (E)
4.39 CICA (A)
1.83 AG2010
2.31 B080
3.80 Puno (2016)
5.67 Jessie (2016)
2.50 QWQ
3.58 QBQ
5.30 Bastille
6.40 Rouge Marie, Zwarte
3.76 Atlas
5.81 Roja

Minimum and maximum values of amino acid composition (g.100 g −1 protein) in various quinoa genotypes and production areas.

a

Amino acid content per variety is averaged over the different years of field trials.

b

Values are expressed for Methionine + cysteine.

c

Values are expressed for Phenylalanine + tyrosine. n. d., not defined; NW, Northwestern; QBQ, Big black quinoa; QGQ, Sanjiang Gray, gray quinoa; QWQ, Qingli No.1, white quinoa; SGQ, Aihua No.1, gray quinoa; SWQ, Jiaqi Diamond No.1, white quinoa.

Overall, the remarkable variations in EAA composition might be caused by genotype, environment, and their interactions. According to De Bock et al. (2021b), the content of EAAs varied between growing seasons, but not between varieties, in contrast to Prager et al. (2018), who noticed significant differences among cultivars and experimental years. In terms of cultivation area, Steffolani et al. (2016) pointed out that Bolivian varieties had higher essential AA content than Peruvian varieties. Gonzalez et al. (2012) indicated dissimilarities in AA content between two experimental sites with higher EAA content in the Bolivia/Argentina location, which authors then explain by adaptation of the genotypes to the conditions they were bred in. Reguera et al. (2018) noted that varieties grown in Chile did not exhibit inter-cultivar variations in AA content compared to the same varieties grown in Spain, except for cultivar “Titicaca” which had consistent AA content among varieties and locations. The highest EAA content in genotypes cultivated in the USA was recognized in samples from the Chimacum location, as opposed to Mount Vermont samples (Craine and Murphy, 2020).

Most of the EAAs were not negatively affected by salinity in “Q5”, a new salt- and drought-tolerant line, except for tyrosine (Toderich et al., 2020). Aloisi et al. (2016) found variations in genotype response to saline conditions. EAAs remained constant or declined, except for increased methionine in genotype “R49”, belonging to the group of salares ecotype; and leucine in genotype “Villarrica” (coastal-lowland ecotype). A strong decline in EAAs under salinity treatment was detected in genotype VI-1 (coastal-lowland ecotypes). Despite this, Ruiz et al. (2016) concluded better suitability of “VI-1” and “Villarrica” in saline environments in terms of growth, yield, phenolic content, and protein profiles compared to the “R49”; however, other nutritional characteristics were not studied in this paper. Therefore, the selection of saline-resistant genotypes and the analysis of nutritional modifications under stress are crucial.

An essential factor in protein quality evaluation is digestibility. The information about protein digestibility in available scientific literature is sparse and often outdated. For example, Ruales and Nair (1992) reported the true protein digestibility of raw and washed quinoa reaching almost 92%. In addition, the biological value of quinoa protein (above 80%) was considerably higher compared to common cereals or soybean. On the other hand, significantly lower protein biological values were reported by Paucar-Menacho et al. (2018). Recently, Shi et al. (2020) reported the in vitro protein digestibility (IVPD) in quinoa ranging from ~73 to 79% with in vitro protein digestibility corrected amino acid scores (IV-PDCAAS) of 48–57%. Authors reported lower values in cultivar “NQ94PT”, compared to the commercial blend of cultivars “Kankolla” and “Blanca Juli”. Further, Jimenez et al. (2019) reported quinoa IVPD of ~61–63% in varieties “Cica”, “Kamiri”, and “Inga Pirca” obtained from Argentina. In addition, Craine and Murphy (2020) evaluated the PDCAAS in varieties “Colorado D407” ranging from 0.74 to 0.90 and 0.78 to 0.95 for the 1–2 an10-year-old children, respectively.

Overall protein digestibility can be improved by various processing methods (Rizzello et al., 2016; Lorusso et al., 2017; Dong et al., 2021; He et al., 2022), as well as sprouting (Jimenez et al., 2019). On the other hand, digestibility is reduced by the presence of starch, fiber (Opazo-Navarrete et al., 2019), and various antinutritional compounds (Gilani et al., 2012).

Lipid content and composition

Lipid content is, among other factors, strongly affected by genotype (Curti et al., 2020; Garcia-Parra et al., 2022). Since the primary lipid storage is located in the embryo, embryo size may also correlate to overall seed lipid content (De Bock et al., 2021b). The highest lipid yield was described in the genotype “Yellow Marangí”, cultivated in Peru, reaching almost 10% (Apaza et al., 2015), whereas the lowest lipid content reached nearly 3% in quinoa variety “QU5”, cultivated in Belgium (De Bock et al., 2021a) and commercial variety “Gramolino” from Ecuador (Graf et al., 2016; Table 6). In addition, colored seed samples tend to exhibit higher lipid content than white seed samples (Pellegrini et al., 2018); yet Tang et al. (2015) and Shen et al. (2022) obtained the opposite findings. Overall oil content was negatively correlated to protein content (Matías et al., 2021).

Table 6

Genotype nameSeed colorProduction areaLipid contentReferences
GenotypeHighland ecotypes: Ancovinto, Cancosa
Central ecotypes: Cahuil, Faro
Southern ecotypes: Regalona, Villarrica
n. d.ChileMin: 5.57 1 Villarrica
Max: 7.06 1 Cahuil
Miranda et al. (2012)
n = 12 accessionsCream
Gray
Orange
Yellow
PeruMin: 4.88 1 Illpa Inia, cream
Max: 9.78 1 Yellow Maranganí, orange
Apaza et al. (2015)
n = 9 commercial varieties
Ancovinto Blanco
Ancovinto Roja
Cancosa
Socaire
Cáhuil
Faro
Regalona
Villarrica
Black
Red
White
Bolivia
Chile
Ecuador
USA
Min: 2.93 2 Gramolino, white, Ecuador
Max: 5.62 2 Ancovinto Roja, white, Chile
Graf et al. (2016)
Ecologicos Quinoa
Mum's Original Heirloom Organic Quinoa
Quinta Quinoa-BC12a
Inca Gold Quinoa
Vitabio Royal Quinoa
Quinta Quinoa-BC12
Quinta Quinoa-BM12
Quinta Quinoa-Ch12
Quinta Quinoa-CVC12
GoGo Quinoa Red Organic Quinoa
Organic Garage Organic Red Quinoa
Golden
Red
White
Bolivia
Canada
Unknown
Min: 6.03 1 Mum's Original Heirloom Organic Quinoa
Max: 6.74 1 GoGo Quinoa Red
Organic Quinoa
Tang et al. (2016)
n = 28 accessionsn. d.USAMin: 5.08 1 Blanca
Max: 7.5 1 Red Head
Aluwi et al. (2017)
n = 77 accessionsBeige
Black
Orange
Yellow
PeruMin: 5.35 1
Max: 7.78 1
Encina-Zelada et al. (2017)
Kvl-sra2
Kvl-sra3
Regalona
Q37
Q52
n. d.EgyptMin: 6.20 2 Q37
Max: 8.04 2 Kvl-sra2
Saad-Allah and Youssef (2018)
Jessie
Puno
Titicaca
Zeno
n. d.GermanyMin: 5.50 1 Zeno
Max: 7.50 1 Titicaca
Prager et al. (2018)
Titicacan. d.Ethiopia6.30 2Agza et al. (2018)
Cica
Kamiri
Inga Pirca
n. d.ArgentinaMin: 6.53 2 Kamiri
Max: 7.48 2 Cica
Jimenez et al. (2019)
Amarilla de Maranganí
Blanca de Juli
Roja Pasankalla
Negra Collana
White
Red
Black
PeruMin: 4.97 1 Amarilla de Maranganí
Max: 6.46 1 Roja Pasankalla
Vera et al. (2019)
F5:F6 advanced breeding lines
Cherry Vanilla
CO407 Dave
Kaslaea
n. d.USAMin: 4.56 2
Max: 7.19 2
Craine and Murphy, 2020
n = 25 accessionsn. d.Argentina Chile Denmark Poland USAMin: 4.22 2 Faro Red
Max: 6.82 2 Titicaca Red
Sobota et al. (2020)
n = 13 accessionsDark
White
BelgiumMin: 5.42 2, a Pasto
Max: 8.54 2, a Summer Red, dark
De Bock et al. (2021b)
n = 7 commercial varietiesn. d.Belgium NetherlandsMin: 2.74 2 QU5
Max: 7.34 2 n. d.
De Bock et al. (2021a)
IC341709
IC329184
IC507733
IC107299
NIC22513
NIC22506
IC415403
n. d.IndiaMin: 7.50 1 IC341709
Max: 8.70 1 IC507733, IC107299
Ghumman et al. (2021)
Gannan
Geermu
Haili
n. d.ChinaMin: 4.00 1 Haili
Max: 5.21 1 Gannan, Geermu
Jiang et al. (2021)
Duquesa
Jessie
Marisma
Pasto
Roja
n. d.SpainMin: 5.90 1 Duquesa
Max: 6.60 1 Marisma
Matías et al. (2021)
Atlas
Jessie
Marisma
Pasto
Pot_4
Roja
n. d.SpainMin: 3.90 3 Pot_4
Max: 5.21 3 Marisma
Gomez et al. (2021)
Blanca real
Nari no
Pasankalla
Soracá
Puno
Titicaca
n. d.ColombiaMin: 5.77 Pasankalla
Max: 7.50 Soracá
Garcia-Parra et al. (2022)
Seed colorn. d.Black
Red
White
South AmericaMin: 6.57 1 Black quinoa
Max: 7.17 1 Red quinoa
Tang et al. (2015)
Bolivian quinoa (BQ)
Peruvian quinoa (PQ)
Spanish quinoa (SQ)
Black
Red
White
Bolivia
Peru
Spain
Min: 4.87 3 BQ, white
Max: 6.48 3 BQ, red
Pellegrini et al. (2018)
n = 29 commercial varietiesBlack
Red
White
Peru
Spain
Min: 6.00 2 White quinoa
Max: 6.80 2 Black quinoa
Pereira et al. (2019)
Blanca Kancolla
Blanca Hualhuas
Negra Collana
Negra Pasankalla
Pasankalla Roja
Pasankalla Rosada
de Huancayo
Salcedo INIA
n. d.Black
Red
White
China
Peru
Min: 5.68 2 Black quinoa
Max: 6.19 2 White quinoa
Shen et al. (2022)
Production arean. d.n. d.Argentina6.31 2Nascimento et al. (2014)
n. d.n. d.Egypt6.79 1El-Sohaimy and Mehany (2015)
n. d.n. d.ChinaMin: 5.61 1
Max: 5.68 1
Wu et al. (2020)

Variability of lipid content in quinoa seeds divided according to genotype name and seed color.

1

The results are expressed as %.

2

The results are expressed as g.100 g−1 of dry weight.

3

The results are expressed as g.100 g−1 of fresh weight.

a

The lipid content per variety averaged over the different years of field trials. Max, maximum value; Min, minimum value; n. d., not defined.

In terms of oil production, quinoa performed well in a temperate climate since heat stress reduced average oil content by almost 30% (Garcia-Parra et al., 2022). Curti et al. (2018) found strong interactions between cultivar and sowing date, related to the various photo-thermal conditions during sowing. In a two-year experiment with cultivars “Titicaca” and “Jessie”, stable results were achieved with a mean crude fat content of 7.5 and 7.3%, respectively (Prager et al., 2018). Unfortunately, there are only a small number of studies on quinoa oil production with regard to meteorological conditions during the growing season and the adaptive response of the genotype.

Quinoa lipid profile is composed predominantly of essential polyunsaturated ω-6 linoleic acid (C18:2), with a minimum of 43% in accession “CHEN 414” originating in dry valleys of North Argentina (Vidueiros et al., 2015) and a maximum value of 63% in variety “Temuko” cultivated in the USA (Chen et al., 2019). Quinoa oil also contains a relatively high volume of monounsaturated oleic acid (C18:1), reaching minimum values of 16% in commercial variety “Quinta Quinoa-BC12” (Tang et al., 2016) and maximum values of 33% in accession “CHEN 465” originating in the transition zone of Northwest Argentina (Vidueiros et al., 2015). Saturated palmitic acid (C16:0) was presented in 3.4–13% in genotype “QuF9P39-73” (Chen et al., 2019) and white quinoa genotype (Tang et al., 2016; Shen et al., 2022), respectively. A negative correlation was found between palmitic acid (C16:0) and oleic acid (C18:1), as reported by (Chen et al., 2019).

Less abundant fatty acid in quinoa lipid profile is an essential ω-3 α-linolenic acid (C18:3), which reaches 4–8% (Tang et al., 2016; De Bock et al., 2021a,b; Shen et al., 2022); yet (Vera et al., 2019) found values reaching 11% in yellow quinoa cultivar. Vidueiros et al. (2015) determined the range for α-linolenic acid as 3.2–9.4% for accessions “CHEN 465” and “CHEN 60”, respectively. Quinoa oil also has several minor fatty acids, such as myristic acid (C14:0), stearic acid (C18:0), behenic acid (C22:0), gadoleic acid (C20:1), arachidonic acid (C20:4), and erucic acid (C22:1); however, those are presented only in negligible amounts (below 2%; Tang et al., 2015; De Bock et al., 2021b; Shen et al., 2022).

Several authors noticed variations in fatty acid profiles between varieties (Tang et al., 2016; De Bock et al., 2021b; Shen et al., 2022), but Prager et al. (2018) did not report any significant alterations between varieties or years. Toderich et al. (2020) indicated changes in fatty acid composition in genotype “Q5” grown in saline soils. While the majority of fatty acids declined in medium salinity, the content of palmitoleic acid (C16:1) and arachidic acid (C20:0) was slightly raised. Besides that, the high mixed salinity of sodium chloride and sodium sulfate resulted in a significant increment of stearic acid (C:18:0). The authors also concluded that sulfate salinity affects the fatty acid composition more than sodium chloride type of salinity.

Elevated temperature, together with cultivar-specific response, resulted in lower content of some fatty acids, especially oleic acid (C18:1), stearic acid (C18:0), gadoleic acid (C20:1), and behenic acid (C22:0) (Matías et al., 2021). In contrast, the content of linoleic acid (C18:2) increased or remained unaffected in hot conditions in some cultivars (Curti et al., 2020; Matías et al., 2021). In terms of major fatty acid content, genotype “Jessie” with the shortest life cycle performed better in hot conditions compared to other genotypes. A very important role in quinoa oil quality is also played by optimal fertilization since correlations between some minerals and fatty acid content were observed by Matías et al. (2021).

Based on the available scientific literature, black genotypes tend to have higher polyunsaturated fatty acid (PUFA) content as opposed to red or white seed genotypes (Tang et al., 2015; Pellegrini et al., 2018; Pereira et al., 2019; Shen et al., 2022). Moreover, the highest monounsaturated fatty acid (MUFA) and saturated fatty acid (SFA) content were present in red genotypes (Tang et al., 2015; Pellegrini et al., 2018; Pereira et al., 2019; Vera et al., 2019), in contrast to Shen et al. (2022) who obtained opposed outcomes (Table 7). Nonetheless, as discussed in previous paragraphs, the content of fatty acids is strongly affected by genotype x environment interactions.

Table 7

Genotype nameSeed colorSFA (relative %)MUFA (relative %)PUFA (relative %)ω-6/ω-3 (relative %)References
GenotypeEcologicos Quinoa
Mum's Original Heirloom Organic Quinoa
Quinta Quinoa-BC12a
Inca Gold Quinoa
Vitabio Royal Quinoa
Quinta Quinoa-BC12
Quinta Quinoa-BM12
Quinta Quinoa-Ch12
Quinta Quinoa-CVC12
GoGo Red Organic Quinoa
Organic Garage Red Quinoa
Golden
Red
White
Min: ≈ 10 Ecologicos Quinoa
Max: ≈ 12 Quinta Quinoa-BC12
Min: ≈ 20 Quinta Quinoa-BC12
Max: ≈ 33 GoGo Quinoa Red Organic Quinoa
Min: ≈ 52 Organic Garage Red Quinoa
Max: ≈ 63 Quinta Quinoa-BC12
Min: 5.30 Quinta Quinoa-BM12
Max: 10.60 Mum's Original Heirloom Organic Quinoa
Tang et al. (2016)
n = 28 accessionsn. d.Min: 3.30 CO 407 WMF
Max: 9.10 QuF9P39-65
Min: 14.40 NL-7
Max: 28.30 UDEC2
Min: 36.70 NL-7
Max: 62.80 Temuko
n. d.Chen et al. (2019)
Amarilla de Maranganí
Blanca de Juli
Negra Collana
Roja Pasankalla
Black
Red
White
n. d.Min: ≈ 21 Amarilla de Maranganí
Max: ≈ 34 Roja Pasankalla
Min: ≈ 55 Roja Pasankalla
Max: ≈ 63 Amarilla de Maranganí
Min:4.68 Amarilla de Maranganí
Max: 19.59 Negra Collana
Vera et al. (2019)
n = 13 accessionsDark
White
Min: 10.20 Summer Red, dark
Max: 13.40 Titicaca
Min: 18.10 Puno
Max: 25.10 Vikinga
Min: 61.40 Vikinga
Max: 70.60 Puno
Min: 6.70 Bastille
Max: 12 Summer Red, dark
De Bock et al. (2021b)a
Atlas
Jessie
Marisma
Pasto
Pot_4
Roja
n. d.Min: 9.77 Jessie
Max: 11.29 Pot_4
Min: 19.67 Marisma
Max: 22.67 Roja
Min: 66.64 Pot_4
Max: 70.40 Jessie
Min: 7.03 Jessie
Max: 8.92 Pasto
Gomez et al. (2021)
Seed colorn. d.Black
Red
White
Min: 10.52 Black quinoa
Max: 11.09 Red quinoa
Min: 29.88 Black quinoa
Max: 33.29 Red quinoa
Min: 54.23 Red quinoa
Max: 58.34 Black quinoa
Min: 5.62 White quinoa
Max: 6.35 Red quinoa
Tang et al. (2015)
Bolivian quinoa (BQ)
Peruvian quinoa (PQ)
Spanish quinoa (SQ)
Black
Red
White
Min: 10.66 BQ, black
Max: 11.44 BQ, red
Min: 29.07 BQ, black
Max: 33.28 BQ, red
Min: 55.28 BQ, red
Max: 60.27 BQ, black
Min: 6.51 BQ, white
Max: 11.42 PQ, white
Pellegrini et al. (2018)
Unknown (n=29)
Blanca Kancolla
Blanca Hualhuas
Pasankalla
Roja Pasankalla
Rosada de Huancayo
Salcedo INIA
Negra Collana
Negra Pasankalla
Black
Red
White
Min: 27 Black, white quinoa
Max: 29 Red quinoa
40 Black, red, white quinoaMin: 31 Red quinoa
Max: 33 Black, white quinoa
n. d.Pereira et al. (2019)
n. d.Black
Red
White
Min: 14.48 Black quinoa
Max: 18.87 White quinoa
Min: 25.76 Red quinoa
Max: 27.76 White quinoa
Min: 52.53 White quinoa
Max: 56.87 Black quinoa
n. d.Shen et al. (2022)

Variability of lipid composition in quinoa seeds divided according to the genotype and seed color.

a

Fatty acid composition per variety averaged over the different years of field trials. Max, maximum value; Min, minimum value; n. d., not defined. MUFA, mono-unsaturated fatty acids; PUFA, poly-unsaturated fatty acids; SFA, saturated fatty acids.

The overall nutritional quality of oils is characterized by the ω-6/ω-3 ratio, with an ideal composition of 1–4/1 in the human diet, as recommended by Simopoulos (2002). Nevertheless, the ω-6/ω-3 ratio of quinoa did not meet the required values since it ranged from 4.7% in variety “Amarilla de Maranganí” up to nearly 20% in variety “Negra Collana” produced in Peru (Vera et al., 2019; Table 7). Despite that, the fatty acid proportion and related nutritional quality are better than in amaranth with values reaching 33–69% (Tang et al., 2016; Paucar-Menacho et al., 2018).

Vitamin and minerals

Quinoa seeds generally contain a sufficient amount of minerals, such as Ca, Fe, Mg, Na, P, K, and Zn (Granado-Rodriguez et al., 2021a,b). As indicated by several authors, quinoa seeds have an even higher content of many minerals than common cereals (Martin et al., 2014; Nascimento et al., 2014; Mhada et al., 2020; Hussain et al., 2021). The content of minerals fluctuates due to genotype, soil type, year, and fertilization (Miranda et al., 2013; Prado et al., 2014; Pellegrini et al., 2018; Granado-Rodriguez et al., 2021a; Bock et al., 2022).

According to Granado-Rodriguez et al. (2021b), the content of P, Ca, and Fe remained unmodified between varieties, as opposed to K, Mg, and Na. Almost equivalent conclusions were defined by Matías et al. (2021), reporting significant fluctuations between cultivars in K and Mg contents, but also in P content, which conflicts with the previous study. Furthermore, Granado-Rodriguez et al. (2021a) stated that the content of Mg, Fe, and Zn was not strongly modified by cultivar x year interactions. Reguera et al. (2018) noticed changes only in Zn between diverse locations, but not within cultivars, whereas De Bock et al. (2021b) recorded no variations in P and Ca content over the years but among the varieties. In addition, no difference between varieties was observed in P, Mg, and Fe concentrations; however, a higher accumulation of P was specific in dark-colored varieties. Higher content of P positively influenced the content of linoleic acid (C18:2) and negatively affected several MUFAs (Matías et al., 2021), which may explain, to some extent, why black seeded varieties contain higher PUFA content than red or white genotypes, as seen in Table 5. Strong correlations were also determined in P and protein content (Granado-Rodriguez et al., 2021b; Matias et al., 2022).

Significant contrasts in mineral concentration between cultivars were also analyzed between hot and cool years, which were probably caused due to little-understood heat-induced adaptation mechanisms and/or interactions among nutrients (Matías et al., 2021). Similar results were also confirmed by Tovar et al. (2020), who highlighted the relationship between heat exposure and specific stages of panicle development. Reguera et al. (2018) investigated aberrations in mineral content between varieties and the agro-ecological conditions they were grown in. According to their findings, the largest accumulation of Mg and Fe in seeds was characteristic of genotypes cultivated in Chile (Río Hurtado). Also, “Regalona” stored a larger amount of almost all analyzed minerals when cultivated in Chile, whereas “Salcedo-INIA” had a larger amount of Mg, Fe, Ca, and Zn when cultivated in Peru (Arequipa). In contrast to that, “Regalona”, cultivated in Chile was characterized as the genotype with the lowest mineral content (Martin et al., 2014).

Genotypes “Pasto”, “Dutchess”, “Atlas”, and “Summer Red” cultivated in Belgium had the highest amount of minerals, in contrast to the other studied genotypes in the experiment of De Bock et al. (2021b). Granado-Rodriguez et al. (2021b) also identified “Pasto”, together with “Marisma”, as genotypes with significantly higher mineral content. On the other hand, Matías et al. (2021) determined “Jessie” as the genotype with the highest mineral content. All genotypes in both studies were cultivated in Spain. In terms of adaptability to adverse conditions, Toderich et al. (2020) referred to the genotype “Q5” as suitable for saline environments since there was a remarkable increment of Fe, Zn, and Ca content under salinity. Mineral concentration varied under contrasting irrigation treatments, except for Mn concentration, which was not significantly different (Walters et al., 2016). The authors also estimated that heterogeneity in concentrations might occur due to the dilution effect.

Although there is not enough current data on overall vitamin content in quinoa, it was concluded in previous studies that quinoa has a satisfactory concentration of thiamine (B1), riboflavin (B2), niacin (B3), pyridoxine (B6), folic acid, and vitamins A, C, and E (Koziol, 1992; Ruales and Nair, 1992). Vitamin E is a general term for tocopherols (α-, β-, γ-, and δ-) and tocotrienols (α-, β-, γ-, and δ-), also named vitamin E homologs. According to Fischer et al. (2013), vitamin E content in quinoa seeds was ranging between 1.04–1.28 mg.100g−1, and overall content was not altered by escalated moisture deficit in genotypes “Regalona”, “B080”, and “AG2010”. Tang et al. (2016) found significant variations in overall vitamin E content and the composition of vitamin E homologs. The most abundant vitamin E homolog in quinoa was γ-tocopherol followed by α-tocopherol, and δ-tocopherol, which is in accordance with the results of Pereira et al. (2019) and Granda et al. (2018). No tocotrienols were detected in any of mentioned studies. Pereira et al. (2019) also determined higher content of γ- and β-tocopherols in the black genotype, but higher α-tocopherol content in the red genotype.

Miranda et al. (2013) uncovered significant alterations in vitamin B content caused by distinct environmental conditions in two studied localities with the highest concentration of B vitamins in the arid locality Vicuña in Chile. Granda et al. (2018) also observed diverse content of vitamin B. While the content of B2 and B6 was relatively similar among varieties, diverse values were determined for B1. The highest concentration of B1 was found in non-pigmented varieties “Tunkahuan” and “Titicaca”. Increased content of B2 appeared in colored varieties and the highest content of B6 was identified in pigmented variety “Pasankalla”. The vitamin C content also shows some changes between distinctive locations with the highest content (49.30 mg 100.g−1 dw) in genotype “Villarrica” cultivated in location Temuco with a cold temperate climate (Miranda et al., 2013).

Summary

This overview provides a summary focused on current research of different quinoa genetic resources in diverse growing conditions. Quinoa is considered a highly nutritive crop that is also resistant to drought and salt suitable for marginal regions. According to our findings, the different environmental condition can have a strong impact on the nutritive compounds of quinoa seeds. Further, the adaptation of quinoa to adverse conditions has limitations in the case of elevated temperatures, high salinity levels, or a combination of weather extremes – heavy rainfall followed by temperatures over 30°C – together with cultivar-response may negatively affect growth and productivity which can result in changed content of nutritive compounds. However, an insight into the enormous variability of nutritive components possessed by quinoa germplasm cultivated in the different conditions of the world shows us how important it is to conserve and protect this richness, and to select outstanding accessions suitable to different conditions. It gives us the potential and hope to develop new varieties of quinoa adapted to different environments and production systems.

Funding

This work was financially supported by the Ministry of Agriculture of the Czech Republic (No. RO0418) and by the Internal Grant Agency of the Faculty of Tropical AgriSciences, Czech University of Life Sciences Prague IGA (Project No. 20223105).

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Statements

Author contributions

DJ and PC: conceptualization. PC and LD: resources and writing–original draft preparation. DJ, MJ, PC, and IV: writing–review and editing. DJ: supervision. DJ, PC, IV: funding acquisition. All authors contributed to the article and approved the submitted version.

Acknowledgments

We gratefully acknowledge the Subsidy Programme-the National Programme for the Conservation and Use of Plant Genetic Resources and Agrobiodiversity (No. 6.2.5/51834/2017-MZE-17253) for information about quinoa genetic resources in the Czech Republic.

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.

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Summary

Keywords

amino acids, genetic resources, nutritive value, protein, quinoa, environmental conditions

Citation

Hlásná Cepková P, Dostalíková L, Viehmannová I, Jágr M and Janovská D (2022) Diversity of quinoa genetic resources for sustainable production: A survey on nutritive characteristics as influenced by environmental conditions. Front. Sustain. Food Syst. 6:960159. doi: 10.3389/fsufs.2022.960159

Received

02 June 2022

Accepted

10 October 2022

Published

26 October 2022

Volume

6 - 2022

Edited by

Ivan Kreft, University of Ljubljana, Slovenia

Reviewed by

Sapna Langyan, National Bureau of Plant Genetic Resources (ICAR), India; Mateja Germ, University of Ljubljana, Slovenia

Updates

Copyright

*Correspondence: Dagmar Janovská

This article was submitted to Climate-Smart Food Systems, a section of the journal Frontiers in Sustainable Food Systems

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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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