1. Introduction
Quinoa (
Chenopodium quinoa Willd.) is an annual forb and seed crop that was domesticated for its robustness in the Andean regions of Peru and Bolivia [
1], mainly in the Altiplano, where the inhabitants practice a unique form of agriculture [
2]. Quinoa belongs to the Class
Magnoliopsida and the Family
Amaranthaceae (or
Chenopodiaceae-
Amaranthaceae) [
3]. Quinoa stands out for its elevated vitamin, protein, essential amino acid, fiber, lipid, and mineral nutrient contents [
4]. These attributes make it an important crop for alleviating hunger and promoting food security [
5], and its consumption is consequently spreading throughout the world [
6]. Quinoa is consumed for breakfast, lunch and dinner as a whole grain or is processed in different products [
7]. Additionally, certain medicinal properties are attributed to it within its center of domestication in the Andean region [
8].
The plant is able to tolerate extreme environmental conditions (salinity, cold, intense solar radiation, and drought) [
9]. Its remarkable agronomic adaptation to adverse climatic conditions makes it suitable for production in regions susceptible to the effects of climate change [
10]. However, that does not make the plant immune to various pests or pathogens. Downy mildew, caused by
Peronospora variabilis Gaum, is considered the main disease in quinoa [
11] and it can cause yield losses of up to 90% [
12]. Diseases of secondary importance include chupadera (
Rhizoctonia sp.,
Fusarium sp.,
Phyum sp.,
Scleroum rolfsii), brown rot (
Phoma exigua var.
fov) and leaf blotch (
Ascochyta hyalospora) [
13].
With the passage of time, the various quinoa strains have been exposed to the extreme environment, generating a large number of genotypes adapted to different local conditions, thus amplifying quinoa’s genetic diversity [
14]. It is important to identify the agronomic characteristics that have been shaped by these edapho-climactic conditions [
15]. The understanding of genetic variability plays an essential role in the genetic improvement of plant species [
16].
Diverse research efforts have demonstrated the wide genetic diversity of quinoa [
17], including those performed by [
18] while studying agronomic and morphological characteristics in 10 genotypes from diverse regions. They observed ample genetic variability for panicle color and diameter. Similarly, ref. [
19] investigated harvest and postharvest variables in 12 red quinoa lines (
Chenopodium quinoa Willd.) selected for their mildew resistance (
Peronospora variabilis), and found that the quantitative variables were significantly different among lines. They determined that taller plants were more highly developed, had higher quality grain, and had a higher percentage of medium-sized grain, with highly significant differences for processing characteristics and higher seed quality. Another group of researchers [
14] carried out a morphological characterization of 19 quinoa varieties using 27 morphological descriptors and measured the highest coefficients of variation for quantitative characters. In addition, others [
20] have evaluated selection indices based on yield components and morphological descriptors, identifying four accessions as potential progenitors for quinoa breeding programs in Colombia.
As much of the genetic diversity in cultivated quinoa exists within relatively unimproved, heterogeneous landrace accessions, phenotypic characterization of this diversity is a challenging but essential prerequisite when these genetic materials are to provide the foundation for a modern breeding program—in this case, for a low- and intermediate-elevation program breeding quinoa varieties for the hyper-arid Peruvian coastal desert at the National University of San Agustín—Arequipa. Andean quinoa producers and breeders are familiar with apparent transposon-mediated variegation in varieties such as ‘Sayaña’, with whole-genome sequencing having confirmed that transposons comprise over 55% of the genome in a single plant sequenced from the Andean ‘Real’ landrace [
21]. It is therefore reasonable to assume that a significant proportion of the phenotypic variability and instability for which Andean quinoa landraces are notorious, and which can complicate line purification from these materials, is due to quinoa’s dynamic genome.
Within this paradigm, the objective of the current research work was to characterize the phenology and morphology, agronomic traits, grain quality characteristics, and selection index of 27 quinoa accessions, the end goal being to provide information on potential adaptation to the irrigated desert production area of Majes, on the Peruvian coast.
3. Discussion
The phenological quantitative variables of quinoa that were evaluated included plant emergence, which varied from 94 to 98% for the 27 accessions and was noted to be strongly affected by temperature [
23]. Flower bud formation averaged 31 DAS, earlier than values observed by other authors but with similar genotypic variability [
24]. Anthesis or flowering initiation occurred on average at 53 DAS, while previous studies reported the onset of anthesis at 100 DAS [
25]. In our study, lines averaged 56 DAS until 50% of flowering, whereas others [
26] had measured 84 DAS for the earliest and 94 DAS for the latest lines. For number of days from flowering to the pasty grain stage, our average was 92 days, while others have reported shorter periods [
27], with 61 days in early varieties and 83 days in late varieties. We observed an average of 108 days from anthesis to 50% of physiological maturity, contrary to what was reported by [
26], who obtained higher values. It is worth noting that others [
28] had observed earlier maturation with average daily temperatures of 24 °C, which are similar to those in our experiment. When evaluating seedling emergence (EP), our values were very close to those of [
29], who achieved 100% as a percentage of emergence for Colombian ecotypes. Of course, all phenological characteristics can be heavily influenced by the environment where the crop is grown and not solely by intrinsic genetics of the quinoa lines.
For the quantitative morphological variables in our quinoa trial, we noted an average plant height of 199 cm, which differs from values reported by others [
30], who have reported a range of heights from 133.1 to 175.1 cm. Stem diameters in our study averaged 12.2 mm, which in another study had been reported to decrease by up to 17% under water-deficit conditions [
31]. Panicle lengths in our study averaged 69 cm; this trait is known to be a function of the processes of growth and differentiation within the apical meristem [
32]. For our 27 accessions, we identified a variability of 72%, indicative of differential genetic resistance/susceptibility among these lines, and contrasts with the results of others [
33]. The average number of leaf margin indentations for our study was 26, whereas ref. [
34] observed lower leaf teeth numbers in their study.
With respect to our quantitative seed measurements for quinoa, grain diameter across the 28 lines averaged 2.11 mm, which was higher than the report of [
35]. Our average grain thickness was 1.07 mm, similar to what was recorded by [
26], varying from 0.9 to 1 mm. For thousand-seed weight the average in our experiment was 2.72 g, results which are similar to those indicated by [
36], with an average of 2.59 g, and within the range reported by [
37], with values from 1 to 3 g, but which are lower than those of [
38], who observed a range from 3.37 to 3.46 g. Our average hectoliter weight value was 0.67 kg L
−1, which was close to the value of 0.73 kg L
−1 from [
39]. Saponin percentage in the 28 lines averaged 0.14%, which is higher than the 0.11% threshold for differentiating sweet from bitter lines [
40], and only six of our 27 genotypes would be considered sweet. Our average harvest index was 26%, close to the value obtained by [
41]. Our lines yielded an average of 3.7 t ha
−1 of grain, a figure similar in magnitude to that recorded in trials in the Cochabamba Valley [
26], where quinoa yielded 3.4–6.34 t ha
−1. As with others [
42] these data indicate that yield components are affected by various phenotypic characteristics, among them plant height, petiole length, leaf shape and size, etc. In addition, humidity can have significant effects on yield [
43].
For qualitative morphological variables, all 27 lines exhibited a simple growth pattern, though there is evidence that this growth habit can vary when the soil is saline [
44]. All our lines had cylindrical stems, as was also reported by [
25] but not by [
45], who observed 66% of lines with angular and 34% cylindrical stems. With respect to branching, none of our lines were highly branched, unlike ref. [
46] who reported branched accessions in the lower and middle thirds of the stems. As had been reported by [
45], all of our lines had triangular leaves. For panicle density, 57% were lax, 36% intermediate, and 7% compact, and these coincided with the observations of [
45]. For panicle shape, 71% were of intermediate form, 21% glomerulate, and 7% were amaranthiform, in keeping with the results of [
47], who reported intermediate (77%), glomerulate (15%), and amaranthiform (8%) panicles. However, in other studies, like [
25], 76% amaranthiform and 24% glomerulate panicles are recorded, while ref. [
45] reported 16% glomerulate, 38% intermediate, and 47% amaranthiform panicles in their studied genotypes. A majority of our lines had opaque seeds, in keeping with ref. [
46] who reported 100% of their lines as being opaque. In terms of seed shape, 54% were cylindrical, 42% elliptical, and 4% were lenticular, which differed from [
25], whose quinoas all had cylindrical seeds. All of our lines contained saponin as was previously noted by [
25].
For color of the main stem, 18% of our lines were deep yellow-green and 14% were bright yellow-green; meanwhile, others [
45] had reported green as the predominant stem color in in 31% of their genotypes. Striae color along the stem was mainly light yellow-green or strong yellow-green, results conforming with those of [
25], who reported 76% of striae were green; however, others [
48] have observed pink stem striae at maturity. For petiole color, 46% of our accessions were strong yellow-green, whereas ref. [
46] had reported 81% of genotypes as having green petioles. For leaf blade color, 46% were medium olive green, as reported also by [
49] but different from [
50]. For glandular leaf trichome appearance, 89% were transparent while 11% were purple; others [
45] reported 16% as being violet. For panicle color at flowering, 29% were medium yellow-green, a similar result to that obtained by [
51], with green to violet panicles. Episperm color in 22 of our lines was whitish-yellow (cream), whereas ref. [
52] had noted a range of distinct episperm colors, including translucent, white, cream, and including darker colors like black, gray, purple, and red, among others. This variation for episperm color implies that a wide range of genetic variability for seed pigmentation exists in quinoa [
53].
We observed a strong positive correlation of 0.77 between main stem diameter and plant height. These results are concordant with [
54], who obtained a moderately positive correlation (r = 0.56) between these two traits.
For the PCA, the first component encompassed 30.2% of the variability, explained primarily by the variables D50F, PH, DEF, DSF, MLL, DMS, DS, and MLW, whose vectors projected toward the positive pole of the axis and which comprise lines that were taller, with greater vegetative biomass, later maturity, and higher disease susceptibility. The second component of the PCA accounted for 17.2% of the variability, associated primarily with PL and PW, complementing the contributions of HI, DFBF, GT, GW, and G1000W. The extreme positive axis grouped lines have large panicles, while the negative axis contained lines showing higher productivity. Others [
55] have reported the two principal components as explaining 51.1% of the total variation, with the first axis explaining 35.0% along a gradient of vegetative vigor and higher biomass, while the second accounted for 16.1% and projected a gradient for productivity and disease severity. These results contrast with those of [
56], who observed that days to 50% flowering, seed yield per plant, and panicle length were the main contributing variables to PC1.
Our cluster analysis identified six main groups. The study of [
57] had observed only three groups of clustered lines, whose groupings were highly influenced by panicle and seed characteristics along with plant height. Similarly, ref. [
58] had identified three groups based on similar characteristics. However, ref. [
59] had reported four groups dominated by genotypes from Peru and the Bolivian Altiplano (G1); the Bolivian Altiplano alone (G2); the USDA collection made by Ballón (and considered to be derived from crosses between Andean highland and coastal Chilean accessions, G3); and some accessions of Ballón along with some coastal Chilean lines (G4), with this last group being the most distinct genetically. Differences in these clustered groupings in the cited studies were most likely due to genetic differences of the source germplasm evaluated, along with different environmental conditions and other factors.
The selection indices of the 27 accessions and varietal check Salcedo-INIA varied between 1.10 and −0.93, with four accessions having the highest SI values (ACC 29, ACC 50, ACC33, and ACC 38) due to their combination of high yields, short statures, larger seeds, earliness, and lower saponin contents. In contrast, another study [
59] treated the yield variables along with the number of panicles as positive SI contributors, but early maturation as a negative factor, in their study of 30 quinoa varieties.
4. Materials and Methods
4.1. Study Site
The research trial was performed at the Center for Research, Teaching, and Agricultural Production “CIEPA-MAJES” of the National University of San Agustín of Arequipa, section B1 Specialized Zone; located in the Majes District, Caylloma Province, Arequipa Region, Peru, at 1431 m above sea level and 16°19′35″ south latitude and 72°13′01″ west longitude. The project was conducted under the specific agro-climatic conditions of this location (
Table 5;
Figure 11).
Water and soil analyses were performed in June, 2023 in the laboratory LABSAF-Arequipa, Santa Rita de Siguas. The soil was a sandy loam, with a moderately alkaline pH 7.7, non-saline electrical conductivity of 39.7 mS m−1, a low organic matter content of 1.1%, high in available phosphate at 12.1 mg kg−1, high in available potassium at 0.79 Cmol kg−1, a high calcium level of 10.42 Cmol kg−1, intermediate magnesium content of 2.05 Cmol kg−1, and with a modest cation exchange capacity of 14.28 meq 100 g−1. The irrigation water had a pH of 8, which is considered normal, along with a moderate electrical conductivity of 0.702 dS m−1, and moderately hard at 25.03 mg L−1.
Source: Automated meteorological station Pampa de Majes [
60] and the meteorological station of Autodema at plot E3–67 [
61].
4.2. Plant Material
The 27 selected experimental materials derived from native accessions were obtained from the Project Germplasm Bank of the National University of San Agustin of Arequipa (UNSA), using the commercial variety ‘Salcedo INIA’ (SAL) as a check (
Table 6).
4.3. Variables Evaluated
Evaluations were done for 28 qualitative and 25 quantitative variables (
Table 7) from 15 randomly selected plants, within the two central rows of each accession.
4.4. Agro-Morphological Characterization
Data on each of the quantitative and qualitative variables were scored and recorded based on quinoa descriptors for the crop published by [
62]. Similarly, for the phenological stages were recorded the following: days to formation of the floral bud (DFBF); days to the start of flowering/anthesis (DSF); days to 50% flowering (D50F); days to the end of flowering (DEF); days to the milky grain stage (DMS); days to the pasty grain stage (DDS); days to 50% physiological maturity (D50PM); and, for each stage, days were counted from sowing. To determine hectoliter weight (GHW), a 10 mL precision test tube with an interior diameter of 12.18 mm was used for collected seed in a volume of 1 cm
3, after which the sample was weighed on an analytical balance.
Colors of the main stem (MSC), striae (STC), petioles (PC), leaf blades (LLC), leaf granular trichomes (LGC), flowering panicles (PCF), plants at physiological maturity (PCPMs), perigonium (PGC), pericarp (PCC), and episperm (EC) were measured utilizing the Royal Horticultural Society color Chart, sixth edition (London, UK, 2015), with each color being numerically coded.
4.5. Evaluation of the Specific Leaf Area
The specific leaf area (SLA) was determined using the formula proposed by [
63], for which 15 leaves from the middle third of the plant were collected, one from each plant sampled at 84 days post-sowing, which were later placed on a white surface and photographed from a height of 0.4 m. With the help of an IPAC, the photos were analyzed using Compu Eye, Leaf and Symptom Area (Doki, El Cairo, Egypt) in units of cm
2 [
64], after which the leaves were dried in a vacuum oven and then weighed on an analytical balance. The SLA was then calculated using the following formula:
where SLA = specific leaf area (cm
2/g), LA = leaf area (cm
2), and DW = dry weight (g).
4.6. Evaluation of Saponin Effusion (ES) and Saponin Content (SC)
Saponin effusion (ES) is the volume of foam measured using a modification of the protocol of [
40]. Some 0.50 ± 0.02 g of whole seeds were measured out, after which they were crushed in a porcelain mortar to obtain flour. The quinoa flour was then placed in a test tube (15 cm tall × 13.77 mm interior diameter) to which was then added 5 mL of distilled water, the tube was then capped and agitated vigorously for 30 s, and then set aside to settle for 5 min. Afterwards the foam height was measured in cm. The data were then entered into the following equation to calculate saponin content (SC):
where h = foam height (cm) and m = sample weight (g).
4.7. Grain Yield (SY)
Yield per hectare was calculated based on weight of grain from 15 plants of the central row for each accession, taking into account the area occupied by each plant (0.09 m
2). The data were then entered into the following formula [
65]:
4.8. Mildew Severity (DS)
We evaluated mildew (
Peronospora variabilis) severity according to the procedure described by [
66], where a random leaf from each third of a plant was selected and the average percentage of damage on three leaves was calculated as the final value for infection severity per plant. This evaluation was done two weeks after sowing, in the absence of any fungicide application.
4.9. Pest Susceptibility (PSY)
For this evaluation we utilized the pest infection level scale according to Ponce and Badillo (2006), cited as [
67], and this was performed two weeks after sowing, prior to any insecticide application.
4.10. Selection Index (SI)
The agromorphological characterization of the quinoa accessions would facilitate selection of genetic materials suitable for breeding and production in areas with unique environmental conditions [
20]. Variables relating to yield, earliness, presence/absence of saponins, and other agronomic management variables (for example, plant height) were the most important for establishing a selection index (SI) based on linear equations proposed by [
68]:
where yield (t ha
−1), height (cm) and saponin (%)
4.11. Agronomic Management of the Study
Each experimental unit consisted of a 5 × 3.6 m plot containing four rows that were 0.9 m wide, for a total area of 18 m2 per genotype.
Sowing was performed on 23 July 2023, at 0.01 m deep, at a density of 11 kg ha−1, with 20 g of seed per accession and 5 g per row. At 27 days after sowing (DAS), plots were thinned, leaving 4 to 5 plants per hill for a final density of approximately 555,000 plants ha−1. Each accession was separated by a row of hybrid maize, sown 30 days prior to the quinoa planting. Irrigation was performed using a DREAM v4. 109.1203 automated drip system controlled by the console software Talgil DREAM (version 4.0.6.8832) and the application SPOT (version 4.0.2136) for Android (Talgil Computing and Control Ltd. Naaman Center, Haifa—Acco Road, Israel). The water volume applied during crop development was 7785.4 m3 ha−1.
Fertilizers were applied at 301, 118, 360, 50, and 40 units per hectare of nitrogen, phosphorus, potassium, calcium, and magnesium, respectively and were based on the recommendations of the National Institute of Agrarian Innovation (INIA) of Peru with research done within the zone.
Phytosanitary control was performed using a manual hydraulic sprayer with an open cone head, taking into account rotation recommendations of action sites of the Action Committee Against Insect Resistance (IRAC) and the Action Committee Against Fungicide Resistance (FRAC). Prior to sowing, the quinoa seeds were impregnated with the fungicide Homai® (Thiophanatemethyl + Thiram; Nippon Soda Co., Ltd., Tokyo, Japan), for preventative control of the rot fungus Rhizoctonia solani, at a dose of 0.01 g per 20 g of seeds. To control Delia platura, Orthene® (Acephato; AMVAC Chemical Corporation, Newport Beach, CA, USA) was applied at 500 g ha−1. To prevent mildew (Peronospora variabilis), the fungicide Legasus® (Metiram + Pyraclostrobin; BASF SE, Ludwigshafen, Germany) was applied at 27 DAS at the rate of 100 g per 20 L in a backpack sprayer; Helios® (Propineb + Cymoxanil; Point Agro China Ltd., Wan Chai, China)) at 33 DAS at a dose of 100 g 20 L−1 of water; Acrobat® (Dimethomorph + Mancozeb; BASF SE, Ludwigshafen, Alemania) at 44 DAS at a rate of 100 g 20 L−1 of water; and Curtine® (Mancozeb + Cymoxanil; Zhejiang Well-Done Chemical Co., Ltd., Hangzhou, China) at 65 DAS at the rate of 50 g 20 L−1 of water.
Accessions were harvested manually, independently for each one and when the plants had reached physiological maturity. Cut panicles were allowed to dry in the sun, after which they were threshed and the seeds measured.
4.12. Data Analysis
To compare the qualitative variables, the mode was calculated and frequency analysis was performed, while for the quantitative data the medians (
), standard deviations (σ), and coefficients of variation (CVs) were calculated. Additionally, the quantitative variables were subjected to analyses of variance (ANOVA) and Duncan tests to compare the accessions (
p ≤ 0.05), using R software version 4.4.1 and version 2024-06-14 ucrt of RStudio (Posit PBC, Boston, MA, USA). The packages used within this program included agricolae [
69]; corrplot [
70] was used to determine the correlation matrix; factoMineR [
71] and factoextra [
72] for the principal component analyses (PCA). Similarly, for the cluster dendrogram based on quantitative variables, the elbow method was used to determine the optimum number of groups using the factoextra package.
5. Conclusions
This study performed morphological and agronomic characterizations of 27 quinoa accessions within the hyper-arid Peruvian coastal region, so as to determine the capacity of these lines to respond or acclimatize to an adverse production environment in which they were neither originally domesticated nor selected through their hundreds of years of existence.
In terms of morphological characteristics, these lines matured at an average of 120 DAS, ranging from very early accessions like ACC 50 at 105 DAS and late ones like ACC 35, ACC 37, ACC 43, and SAL that matured by 132 DAS. We also identified lines with outstanding characteristics like ACC 29 and ACC 50, which stood out for their earliness, short stature, low saponin content, and superior productivity in comparison with the commercial check variety ‘Salcedo INIA’. On the other hand, all of the accessions performed similarly in their simple growth habit, cylindrical stems, triangular and toothed leaves, presence of striae, lack of male sterility, lack of branching, and presence of saponin. For the remaining characteristics the accessions displayed variability.
Based on analyses of the selection indices, we observed that ACC 29 and ACC 50 were superior to all the other tested lines and the Salcedo-INIA check, having SI values of 1.10 and 1.01, respectively.
Although this agro-morphological characterization was carried out in a single location, the results provide an essential catalog of the diversity present and identify those landrace accessions among the 27 that are most suitable for further line purification within the irrigated desert environment at Majes, Arequipa, Peru. By combining these most promising landrace selections together with internationally available germplasm of Chilean (coastal) origin and the extremely diverse lines being selected out of interspecific cross populations (quinoa X North American pitseed goosefoot,
C. berlandieri), a highly diverse foundation is being laid for low-elevation quinoa breeding at the UNSA–Arequipa [
36]. To supplement these findings and determine their adaptive attributes for other environments, these landrace accessions should be tested at different altitudes and latitudes.