Next Article in Journal
Growth, Physiological, and Biochemical Responses of a Medicinal Plant Launaea sarmentosa to Salinity
Previous Article in Journal
Effect of Soaking, Germination, and Roasting on Phenolic Composition, Antioxidant Activities, and Fatty Acid Profile of Sunflower (Helianthus annuus L.) Seeds
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Assessment of Balkan Pepper (Capsicum annuum L.) Accessions for Agronomic, Fruit Quality, and Pest Resistance Traits

1
Maritsa Vegetable Crops Research Institute (MVCRI), Agricultural Academy, 4003 Plovdiv, Bulgaria
2
Department of Vegetable Breeding, Center of Plant Systems Biology and Biotechnology (CPSBB), 4000 Plovdiv, Bulgaria
3
Department of Horticulture, University of Georgia (UGA), Tifton, GA 31793, USA
4
Agricultural University, 4000 Plovdiv, Bulgaria
*
Author to whom correspondence should be addressed.
Horticulturae 2024, 10(4), 389; https://doi.org/10.3390/horticulturae10040389
Submission received: 9 February 2024 / Revised: 29 March 2024 / Accepted: 8 April 2024 / Published: 11 April 2024
(This article belongs to the Special Issue Vegetable Breeding: In the Era of Integrated Omics)

Abstract

:
To maintain the continuous genetic variation and increase the genetic gain, appreciable germplasm diversity and its comprehensive characterization is necessary to further utilize gene sources for pre-breeding. The diversity of pepper forms, cultivation traditions and diverse fruit usages are typical for Balkan countries. Considering this rich diversity, 21 pepper accessions from the Balkan region were evaluated for morphological, biochemical, and insect resistance traits during 2018 and 2019 at Maritsa Vegetable Crops Research Institute, Plovdiv, Bulgaria. Among the studied accessions, the highest productivity was observed in pumpkin shape K1115 and kapia type K1081 accessions, with 0.74 kg and 0.70 kg per plant, respectively. Concerning fruit quality, the highest total polyphenols and ferric reducing antioxidant power (FRAP) were observed in pumpkin shape K712 (203.44 mg GAE/100 g FW) and K1103A (11.49 µmol Fe2+/g FW) accessions, respectively. Concerning insect resistance, 38% of studied accessions showed no infestation of green peach aphid. The kapia type K697 accession was seen as the most reliable resistance source, as it was not infested by aphids and had the least thrips (20% on plants) and cotton bollworm (6.67% on plants and 8.34% on fruit) damage. Based on examined traits, accessions were identified for enhanced fruit quality and promising insect resistance and have been included in further pre-breeding efforts.

1. Introduction

Among the widely cultivated and economically significant vegetable crops, peppers (Capsicum annuum L.) are famous for the high nutritional value of their fruit, rich in many phenolic substances, vitamins, and antioxidants [1,2]. Many factors, including fruit maturity, environment, and cultivation techniques, likely affect the biochemical composition of the fruit [3,4,5,6]. However, major variation is contributed by the genetic background [7]. Within the germplasm collections, natural variation is a valuable source for genetic improvement of fruit nutrition and quality traits. Since awareness about healthy food is on the rise, so does the consumer’s interest in consuming food enriched with antioxidants and nutritional quality. Considering this new niche, breeding for enhanced fruit quality is becoming an important breeding objective for most pepper breeding programs [8]. Characterization of the pepper agro-biodiversity that exists in the Balkan germplasm collections can assist breeding programs, giving more insight on the fruit quality. Parameters such as antioxidant capacity and phenolic content need to be quantified alongside traditional quality attributes, including total soluble solids and dry matter content. A comprehensive germplasm characterization provides insights on the selection of promising breeding lines that could improve the fruit quality and nutritional value of future pepper varieties.
Due to widespread production and intense cultivation, it is often seen that widely cultivated varieties are attacked by different pests throughout the growing season (from sowing to harvest), and species composition of pests seem to have increased in recent years. The most commonly occurring insect infestations are caused by thrips, aphids, and cotton bollworm. These pests primarily damage leaf, fruit, and whole plants, whereas some pests also cause secondary damage by viral infections (aphids and thrips) and mycoplasma diseases (leafhoppers) in the form of vector carriers. Due to domestication, commercially grown hot and sweet peppers have lost their resistance against thrips and have become susceptible to several thrips species. Thrips species commonly found on Capsicum include Frankliniella occidentalis (western flower thrips) and Thrips tabaci (onion thrips) [9,10]. F. occidentalis is one of the most widespread thrips species. It causes damage on leaves, flowers and developing fruit by feeding and egg deposition. Moreover, it can transmit at least five types of tospoviruses [11]. T. tabaci is known to occur on a broad range of hosts, including Capsicum, and causes damage on the foliage [9]. Controlling thrips on Capsicum with pesticides is difficult, and the identification of resistant accessions is necessary for successful and sustainable production of pepper in the future [12]. Besides thrips, green peach aphid (Myzus persicae Sulz.) is one of the major pepper pests. It causes both direct damage and serves as a carrier of virus diseases. Tolerant varieties could be an important element in the integrated control of M. persicae. Along this line, screening tests have been carried out to determine the response of different pepper varieties and accessions that discern resistance against aphids [13,14]. Cotton bollworm (Helicoverpa armigera; Lepidoptera: Noctuidae) is the main moth that causes serious damage in pepper when larvae feed on the leaves, flowers, and fruit; however, it has been noted that the most serious damage is to the fruit [15].
Damage caused by pests results in the production of low-quality fruit and significant yield losses. Often, intensive use of chemical pesticides lead to a building of resistance among pest populations and even species evolution that leads to the development of new species [16]. The intensive application of pesticides also poses a danger to the environment and human health. The insecticides used are not always effective enough; therefore, integrated pest management (IPM) practices have been implemented and combined with chemical and biological strategies to grow healthy crops [17,18]. The economic burden and environmental damage caused by the use of synthetic chemicals highlights the importance of finding and incorporating resistance in emerging/new cultivars that could provide an alternative approach that is economic and sustainable. Conventionally, genetic resistance against different biotic stresses has been seen to be effective; therefore, breeders have been working on finding resistance sources and subsequently introducing them in a cultivated background to develop resistance cultivars that are adapted to the local environment.
The Balkan region and Bulgaria are well known for the diversity of pepper shapes, growing traditions, end-use consumption, and development of novel pepper cultivars. The availability of a rich collection of genetic resources and comprehensive trait characterization are a prerequisite to establish successful breeding programs [19]. In recent years, we have focused on studying the pepper’s genetic resources in terms of productivity, fruit morphology, quality, and resistance to different biotic stresses [20,21]. The purpose of this study was to carry out a comprehensive characterization of pepper accessions according to morphological, economic, and biochemical traits and assess pest infestation in a natural background of field conditions.

2. Materials and Methods

2.1. Germplasm Selection and Evaluation

The research was conducted in 2018 and 2019 at the Maritsa Vegetable Crops Research Institute (Maritsa VCRI), Plovdiv, Bulgaria. From the available pepper gene pool, 21 pepper accessions were selected based on their biomorphological and fruit quality attributes, including shape (Figure 1). The selection criteria that we used to select the included accessions were primarily based on how each accession performed for horticultural, fruit quality, and insect resistance. Additionally, during the accession selection, we sought those accessions that could be used to develop ideotypes with these desired traits. The selected accessions were comprised of breeding lines and local forms (landraces) and were mostly from different regions of Bulgaria (15 accessions), but also with representation from Greece (3 accessions), Albania (2 accessions), and North Macedonia (1 accession). Subsequently, selected accessions were divided into four different varietal types classified based on their shape, including corniform, blocky (dolma), pumpkin (ratund), and kapia. Corniform-type accessions formed elongated horned fruit suitable for frying and pickling (Figure 1A). The blocky type is a square or rectangular fruit with 3–5 apexes suitable for stuffing (Figure 1B). The pumpkin-shaped variety is a short but wider fruit suitable for roasting and pickling (Figure 1C). Kapia is a long triangular suitable for roasting, stuffing, and pickling (Figure 1D). A natural infestation of important pests was also studied in the tested accessions.

2.2. Experimental Design and Field Evaluation

Seedling production was carried out in unheated greenhouses from the middle of March till the middle of May. The open field where the experimental evaluation was done had an alluvial meadow soil type. During growing season, the weather is usually warm to hot and most of the precipitation occurs in June, while it is scarce in August and September. During our experiment, in 2018 and 2019, the total rainfall was 11.93 and 12.44 inches, respectively. More details on the average temperature and rainfall received each month across during the growing season is shown in Table S1. Additionally, soil content details for the experimental field are shown in Table S2. The experiments were conducted using the randomized complete block method with 3 replications and 10 plants per replication for each accession according to the scheme 120 + 40/15 cm. All accessions presented in this study were evaluated with 3 replications. The plants were transplanted on a high bed in two rows with 40 cm distance between them, as 15 cm was the distance between the plants in a row. During the cultivation, plants were tendered as per the cultivation practices adapted for mid-early open field pepper production [22]. Throughout the growing season, all agronomic practices, including fertilization, irrigation, and plant protection, were conducted regularly and plant nutrition was conducted with mineral fertilizers based on soil analysis. Concerning the plant nutrition, before each growing season, P14 and K25 were imported with subsequent soil tillage and plant nutrition was administered thrice with soil tillage across the growing season, so the total fertilization for each year was accomplished with N34 P14 K42 Ca12. The harvest period was two months’ duration—from the end of July to the end of September. We harvested the accessions according to their consumption timeline. The fruit from corniform and blocky accessions was harvested before botanical maturity as green and greenish white, while that from ratund (pumpkin) and kapia accessions was harvested at botanical maturity as red fruit.

2.3. Trait Characterization

Morphological plant and fruit traits were assessed in the second harvest according to the IPGRI, AVRDC, and CATIE [23] descriptor definitions. Productivity (kg/plant), plant height (cm), stem height (cm) and branches at the first order (number) were assessed after the end of vegetative growth, while the productivity was the sum of all harvests of the plant. Fruit of different pepper accessions were collected according to their usage either before maturity or at maturity stages. Corniform and blocky varietal types were harvested before maturity (in an intermediate stage of ripening), while pumpkin and kapia varietal types were harvested at maturity. Evaluated morphological traits of the fruit were length (cm), width (cm), wall thickness (mm), locules (number), fruit weight (g), and edible part (%).

2.4. Fruit Compositional Quality

To assess fruit quality, collected fruit was characterized for dry matter content, total soluble solids (TSSs), total polyphenols, and ferric reducing antioxidant power (FRAP). Immediately after the harvest, fruit from each sample was washed three times with distilled water and wiped dry. Half of the sample was freshly homogenized, while the rest was frozen at −20 °C and lyophilized. Fresh samples were used for determination of dry matter content and TSSs by drying the tissue in an oven at 105 °C to a constant weight and by an OPTi® digital handheld refractometer (Bellingham & Stanley Limited, Tunbridge Wells, UK), respectively. The lyophilized material was used for analysis of total polyphenol content and determination of ferric reducing antioxidant power (FRAP). Total polyphenols (TPs) were quantified according to Singleton and Rossi [24], and results are expressed as mg GAE/100 g fresh weight (FW), whereas antioxidant activity by ferric-reducing antioxidant power (FRAP) was measured according to Benzie and Strain [25], and results are expressed as µmol Fe2+/g FW.

2.5. Screening for Insect Resistance under Natural Conditions

Green peach aphid (Myzus persicae Sulz.): Aphid damage was measured as percentage damage to plants and degree of infestation. Damage was assessed on a scale of 0 to 4, as recommended by Leclant and Remaudiere [26]: 0—no aphids, 1—up to 5 aphids/plant, 2—from 6 to 25 aphids/plant, 3—from 26 to 50 aphids/plant, and 4—>50 aphids/plant.
Thrips (Frankliniella occidentalis Perg. and Thrips tabaci Lindeman): Thrips damage was assessed as percentage damage to plants and average number of mobile plant forms. Degree of infestation was assessed on a scale of 0 to 4, as recommended by Fery and Schalk [14]: 0—no symptoms, 1—minimal symptoms, 2—poorly expressed symptoms, 3—average expressed symptoms, 4—strongly expressed symptoms.
Cotton bollworm (Helicoverpa armigera Hubn.): A standard method of applied entomology was used to determine the damage from cotton bollworm. Damage readings were measured as percentage damage total plants, whereas the percentage of damaged fruit was recorded for 10 peppers per replication, so in total 30 peppers were assessed across all three replications.

2.6. Statistical Analysis

General descriptive statistics and histograms were estimated in Microsoft Excel (Version 2401). Analyses of variance for both morphological and fruit quality traits were performed for each year separately to assess the fixed effects of accessions and replication, and then both years’ data were analyzed together to check the interaction between fixed effects (accession) and random effect (year). Analysis of variance of quantitative traits was performed using generalized linear model (GLM). Statistical analysis was performed with XLSTAT version 15. The manuscript structure was adapted from a previous work on the biomorphological diversity of the Balkan pepper core collection [21]. Principal component analysis of biomorphological diversity was performed using correlation matrices of a total of 14 morphological and 4 fruit quality biochemical traits using R. Eigenvalues, eigenvectors, percentage variance of different principal components, and accession by trait (A*T) biplot were estimated using ggplot2 [27], missMDA [28], FactoMineR [29], and Factoextra [30] R packages (Version 4.2.2).

3. Results and Discussion

The studied accessions selected for more detailed characterization have a sweet fruit taste and belong to corniform/horned (var. corniform), blocky (var. dolma), kapia (var. kapia), and ratund/pumpkin (var. ratundum) varietal groups. The selected accessions were selected with an intention to further utilize them in subsequent ideotype development to improve horticultural traits, enhance fruit quality, and insect resistance. With that vision, the proposed study was planned and conducted accordingly.

3.1. Inter-Varietal Grouping Variation

Concerning fixed effects of accessions, significant differences among accessions were seen for all morphological and fruit quality traits evaluated during both years, except for branches, productivity, and edible part evaluated during 2019, the last two traits, and across years (Table 1). For replications, no differences were found in either year’s evaluation, whereas for the random effect of year, number of branches, productivity per plant, fruit width, and ferric reducing antioxidant power (FRAP) showed significant differences. Besides fixed and random effects, interactions between the main effects of accession and replication were significant in both years. However, when the data of each year were pooled together, the interaction between accession and replication was not significant for branches, productivity, or edible part. Similarly, the interaction between accession (fixed effect) and year (random effect) was significantly different for all morphological and fruit quality traits; however, there was no interaction between replication and year (Table 1). Overall, significant interactions between fixed (accession) and random effects (replication and year) indicated that the fixed effect was always significantly different when the interaction was significant, except in the case of number of branches evaluated in both years and productivity in 2019 and pooled across both years (Table 1).

3.2. Intra-Varietal Grouping Variation

3.2.1. Plant Traits

Concerning plant traits, no big differences among the varietal types were seen for plant height, stem height, branches of the first order, or productivity (Figure 2 and Table S3). The variation among varietal types for all plant traits was within 10% of the average across varietal groups. Among morphological traits, plants were tallest in the blocky varietal type, with 80.17 cm, while the pumpkin-shape type was the shortest, with 71.90 cm (Figure 2 and Table 2). Moon et al. reported similar averages for plant heights of C. annuum (138.93 cm) and C. frutescens (137.55 cm) accessions, but they established a wide variation between studied accessions in each group [31]. The abovementioned accessions also had the tallest stems and the highest productivity in their group. In our study, stem height was shortest in ratund or pumpkin shape (21.82 cm) and longest in the corniform type (25.25 cm). The blocky, kapia and ratund types formed 2.80, 2.79, and 2.76 primary branches, respectively, while the corniform type had 2.42 primary branches (Figure 2). The productivity per plant was from 0.50 kg/plant for the corniform type to 0.60 kg/plant for the blocky type.
Productivity and growth variables comprising plant height, stem height, and number of main branches were used in describing the pepper genotypes and determining their utility. Plant height and stem height are considered important for mechanical harvesting. Among all studied accessions, K1100 (92.08 cm), belonging to the blocky type, was the tallest, while the K1103B (57.50 cm) kapia type was the shortest (Table 2). The pumpkin-type accessions K1115 (17.92 cm) and K1103A (18.33 cm) demonstrated the lowest stem height, while kapia types K1093 (28.75 cm) and K1074 (27.92 cm) had the longest stems (Table 2). Elizondo-Cabalceta and Monge-Perez reported the biggest variation in stem height in bell peppers, ranging from 11.38 cm to 31.38 cm [32], while our results showed much smaller variation, ranging from 20.42 cm to 24.58 cm. Concerning the number of branches, we observed a range of 2.42 (genotypes K696 (corniform) and K1056 (pumpkin shape)) to 3.25 (K712 (pumpkin shape)). Our results corroborate an earlier study [33]; however, the latter reported larger variation in the number of branches (2.3 to 5.3) than we observed. Concerning productivity, K1115 (pumpkin shape) and K1112 (blocky) were the most and least productive accessions, with 0.74 kg per plant and 0.46 kg per plant, respectively (Table 2). Among the kapia-type accessions, K1081 stood out with 0.70 kg per plant, followed by K1094 (0.67 kg per plant).

3.2.2. Fruit Morphology Traits

For fruit traits, noticeable differences were seen among different varietal types, wherein the corniform type had the longest fruit (22.67 cm), but was smallest in terms of width (2.12 cm), weight (29.29 g), locules (2.17), and wall thickness (2.09 mm). The blocky type had the most locules (3.35), while the pumpkin type had the shortest (3.91 cm), broadest (7.62 cm), and heaviest (124.13 g) fruit, as well as the thickest walls (5.69 mm) (Figure 3). However, the variation seen among the types was variable for each fruit trait in comparison to the average of all varietal groups, as most traits showed less than 10% variation, except on fruit length and fruit weight. The fruit trait variation among the groups was broad, with the main contributors appearing to be length (2.0–27.5 cm), width (1.70–10.40 cm), wall thickness (1.48–8.14 mm), and weight (15.5–245.0 g) (Table S4).
Accession-wise, the corniform-type K696 (22.67 cm) had the longest fruit, followed by the kapia-type K1114 (16.27 cm), while the pumpkin-shaped K1103A had the shortest (2.87 cm) fruit (Table 3). The pumpkin-shaped accessions K1055 and K1056 were the widest: 8.58 cm and 8.08 cm, respectively. These were also the heaviest in this group: 151.82 g and 148.11 g, respectively. K1055 also had the longest (4.48 cm) fruit in its group. Among all accessions, K1094 (kapia type) formed the heaviest (178.48 g) and widest (7.37 cm) fruit in this varietal type (Table 3). Fruit wall thickness was significantly greater in accession K1057 (6.66 mm), belonging to the pumpkin-shaped varietal, than other genotypes. All genotypes from the pumpkin-shaped varietal demonstrated thicker fruit walls than the rest of the studied accessions. Concerning the number of locules in the fruit of K1098 and K1099 (blocky type), these were mostly four-lobed (3.58). Moon et al.’s comprehensive study of 380 C. annuum accessions reported an average 10.06 cm fruit length with a range of 1.20 cm to 22.30 cm and average fruit weight of 26.93 g with a very broad range of 0.30 g to 218.40 g. In the same study, 133 accessions of C. frutescens had an average fruit length of 3.96 cm with a wide range of 1.00 cm to 16.00 cm, whereas the average fruit weight was 3.47 g with a range of 0.20 g to 42.30 g [31]. Furthermore, Moon et al. observed that the fruit weight, diameter (width), and wall thickness were highly correlated with one another, ranging from 0.84–0.93 [31], and we made a similar observation. Another study also reported a significant positive correlation of yield per plant with fruit length (0.602) and fruit weight (0.642), which demonstrates that yield components are highly correlated with one another [34].

3.2.3. Fruit Quality Traits

The comprehensive characterization of studied accessions included an assessment of major fruit quality traits (Table 4). Among six accessions harvested in the intermediate stage of maturity, K696 of the corniform type distinctly stood out, showing the highest values for all four quality traits, with 8.93% dry matter, 4.90 °Brix TSSs, 79.01 mg GAE/100 g FW total polyphenols, and 4.37 µmol Fe2+/g FW FRAP. Among the blocky-type accessions, K1100 and K1112 had the highest values for dry matter content (7.55% and 7.53%), and TSSs (4.50 and 4.47 °Brix), while K1086 and K1098 had the highest ferric reducing antioxidant power (3.72 and 3.12 µmol Fe2+/g FW) and total polyphenols (67.64 and 67.81 mg GAE/100 g FW). Predominantly, accessions that were harvested at botanical maturity had significantly higher levels of the studied traits than those that were harvested at intermediate maturity.
Among the accessions harvested at maturity, pumpkin-shaped K712 showed the highest content of total polyphenols (203.44 mg GAE/100 g FW) (Table 4) and ranked first in this group for dry matter content (10.73%). Accession K1103A showed high total polyphenols (189.55 mg GAE/100 g FW) and ferric reducing antioxidant power (11.49 µmol Fe2+/g FW). Among kapia-type accessions, K697 showed the highest values for total polyphenols (166.04 mg GAE/100 g FW) and ferric reducing antioxidant power (10.60 µmol Fe2+/g FW), whereas accession K1114 had the highest values of dry matter content (11.66%) and TSSs (9.38 °Brix) (Table 4). Wide variation was determined for ferric reducing antioxidant power (FRAP), from 2.20 (K1099) to 11.49 µmol Fe2+/g FW (K1103A), and total phenolic content, from 54.66 (K1099) to 203.44 mg GAE/100 g FW (K712). Luitel et al. [35] reported similar variation in total soluble solids—from 5.3 °Brix to 8.5 °Brix in a collection of 55 sweet pepper genotypes. Many other studies have shown that pepper fruit is rich in phytochemicals with antioxidant properties (Howard et al. [3], Bogusz Junior et al. [36], Constantino et al. [37] and examined the natural variation that occurs among species and cultivars. Similarly, we also demonstrated varying levels of important compounds, even in a small germplasm collection. All these factors can influence our dietary considerations on consumption of different pepper types.
Variation among varietal types was seen to be higher for all fruit quality traits (Figure 4 and Table S5). Most accessions belonging to the kapia type had higher dry matter content than those of pumpkin shape. Types that were harvested in the intermediate stage had lower accumulation of phytochemicals (Figure 4), wherein average dry matter content accumulated least in blocky (7.15%) and kapia (10.68%). A similar tendency was also seen for TSSs, wherein the lowest values were observed in the blocky type (4.40 °Brix) and the highest in the kapia type (8.63 °Brix). For phenolic compounds and ferric reducing antioxidant power (FRAP), the trend continued, wherein accumulation of these compounds was higher in varietal types harvested at a mature stage (pumpkin-shaped and kapia) than varietal types (blocky and corniform) harvested at an immature stage (Figure 4); however, pumpkin-shaped accessions had higher ferric reducing antioxidant power (9.59 µmol Fe2+/g FW) and total polyphenols (164.27 mg GAE/100 g FW) than kapia-type genotypes (Figure 4).

3.2.4. Insect and Pest Resistance

The range of pathogens affecting peppers is very broad, and includes fungi, viruses, bacteria, and insects. Considering the effect of biotic stresses limiting yield and productivity, a large number of domesticated and wild species accessions are stored in seed banks throughout the world, representing a valuable resource for breeding improvement by trait introgression and wide hybridization of traits associated with biotic stress resistance [38]. In recent years, there have been changes in the species composition and population density of insect pests, largely due to climate change, emergence of populations resistant to insecticides, and intensive commercial exchange of produce. Establishing well-adapted and resistant/tolerant sources of pest resistance is important to ensure optimal yield and increasing productivity at the producer level while maintaining food security at the global level. In this study, 21 pepper accessions were evaluated against a natural background of pest infestation of green peach aphid (Myzus persicae Sulz.), thrips (Frankliniella occidentalis Perg. and Thrips tabaci Lindeman) and cotton bollworm (Helicoverpa armigera Hubn.) in the field. During the evaluation, around 38% of accessions belonging to different varietal types showed no infestation by aphids (Table 5). A low population density of aphids was found, with the highest infestation rate reaching only 0.67, seen in K1098.
Significant differences were found among accessions for damage rate, number of aphids per plant, and number of aphids per leaf in another screening on 21 pepper accessions for resistance to green peach aphid. No accession investigated in this study showed strong resistance against aphid colonization, while commercial cultivars bred for virus resistance appear to have strong tolerance against green peach aphid and thus suffer little damage from it. Similarly, one study that screened a diverse collection of 50 Capsicum accessions showed no strong resistance against green peach aphid either [13], corroborating our observation. Considering current resistance status, tolerant cultivars can be important for integrated pest management of green peach aphid [13].
Beside aphids, all accessions were infected by thrips, with damaged plants ranging from 20% (kapia K697) to 41.55% (pumpkin-shaped K1055) and the infestation rate varying from 0.75 (K697) to 1.67 (K1093). Thrips control using biological crop management appears to be inadequate; therefore, the use of thrips-resistant cultivars would be useful to increase the effectiveness of thrips control. To date, there is no commercial pepper variety with a high level of resistance to thrips; however, several wild pepper cultivars have been identified that show resistance against thrips [39]. Additionally, resistance to thrips can also delay and reduce the transmission of viruses such as tomato spotted wilt viruses (TSWV); therefore, inclusion of thrips resistance must be part of pepper breeding programs [40]. However, the number of specimens confirmed to have a high level of thrips resistance as well as the number of thrips species tested is still limited, as there is limited information available on thrips resistance mechanisms in pepper [41].
Screening for cotton bollworm showed that it infected both plants and fruit of all accessions. Low infestation was seen in K1083 (5.00% on plants and fruit), followed by K696 (5.95% on plants and 6.67% on fruit), while severe infestation was seen in K1057 (10.27% damaged plants and 32.50% damaged fruit). Among all accessions, notably K1103B showed much greater plant damage (8.57%) than fruit damage (1.67%) (Table 5).
Among all varietal types, no aphid infestation was seen in accessions belonging to the corniform type, while accessions of the blocky type showed the highest infestation, with 3.51% damage to plants. Besides aphids, thrips infestation was seen to be similar across varietal types (<5%), whereas cotton bollworm infestation was seen least in corniform-type accessions and severe among blocky-type (14.89% plant and 11.67% fruit damage) and pumpkin-shaped (9.75% plant and 12.92% fruit damage) accessions (Figure 5 and Table S6). Overall, aphid infestation was relatively lower among accessions, while thrips and cotton bollworm infestation were highest (Figure 5 and Table S6).
Most breeding programs aim to develop breeding lines and cultivars that possess increased insect resistance and usually complement the integrated plant protection systems. Different studies have been set up to screen diverse pepper accessions and determine their response against pest infestation [14,39,42]. Usually, different indicators are used to evaluate the pepper accessions and provide information about the host response on one hand and its effect on the pest on the other hand. Biological parameters of population density, infection rate, relative growth, and generation time [14,43] are commonly used in host–pest interaction studies. Besides biological parameters, indicators of the degree of infestation, number of larvae or adults per plant, percentage of damaged fruit and plants are often used to assess damage [44]. Additionally, other research has also been conducted to uncover resistance mechanisms, which can be antibiosis or antixenosis. Free-choice and no-choice host tests are performed to assess the response of the plant [45].
Considering our goal of finding potential resistance sources against economically important insects to use for ideotype development, we evaluated the pepper accessions for their response to target insect pests and identified accessions that showed potential to utilize in future breeding efforts as we have utilized similar strategies in the past. Development of pepper cultivars resistant/tolerant to insects is an economic strategy, while uncovering resistance mechanisms is an important element of ecological control approaches, as pesticides have harmful effects on the environment and human health [43,44]. Therefore, alternative pest management strategies are needed in order to control pests frequently causing damage to the sweet pepper. Overall, the use of integrated techniques, including intercropping pepper with other crops, oviposition deterrents, releasing natural predators, and use of resistant cultivars as environment-friendly control methods, have been seen to be very effective [46]. The identified accessions that show promising prospects for the targeted morphological, fruit quality, and biotic stress tolerance traits could be further utilized in ideotype development and subsequently be included in trait introgression and cultivar development for an excellent combination of productivity, fruit morphology, quality, and insect resistance.

3.3. Principal Component Analysis

In order to assess the morphological and fruit quality diversity among Balkan pepper accessions, we examined qualities that reflected trait diversity. Principal component analysis (PCA) was performed on an array of pre-harvest plant and fruit morphological traits and insect screening, as well as fruit quality traits. The variation attributable to these traits can be seen in Figure 6. The variability generated for different morphological and quality traits consisted in a total of 18 principal components (PCs) (Figure S1). However, the first six PCs with eigenvalues >1 contributed around 84.76% of the total variance (Table 6 and Figure S1), wherein the first four components explained 30.74% (PC1), 21.77% (PC2), 11.46% (PC3), and 8.19% (PC4), respectively. Tsonev et al. found that the first three components accounted for 90% of the variance, wherein PC1 and PC2 explained 55.6% and 22.6%, respectively [47]. However, note that the variability explained in Tsonev et al.’s study was based on ISSR markers, which is different from the explained variance observed in our study, as it resulted from morphological and fruit quality variation. Likely the observed variance reported in our study may have been due to the genetic origin of studied germplasm as well as different uses associated with this germplasm. In the negative direction, fruit width, fruit weight, and pericarp thickness and in the positive direction, plant height were reported to be the most strongly correlated traits with the first axis and fruit length and stem height for the second. Martínez-Ispizua et al. determined 15 principal components that described around 98.86% of total variability between landraces, with the first four PCs contributing 52.71% cumulative variance [48]. Similarly to our study, Singh et al. study on chili pepper also reported that the PCs that had the highest eigenvalues contributed the most to cumulative variance explanation [49]. In this study, the first five PCs contributed almost 89% of the explained variance, and most of the PCs that explained the variation were related to plant height, primary branches per plant, days to flowering, and first harvest or picking [49]. However, fruit per plant, fruit length, and fruit width were the lowest contributors to variance, which contradicts our findings. Accession by trait (A*T) biplot between PC1 and PC2 showed that fruit wall thickness, fruit weight, edible part, dry matter, total soluble solids (TSSs), ferric reducing antioxidant power (FRAP), and total polyphenols (TP) were the primary contributing traits to PC1 variance (Figure 6 and Table 6), whereas stem height, fruit length, fruit width, locules, thrips damage and cotton bollworm damage contributed to PC2 variance (Figure 6 and Table 6). Bianchi et al. indicated that the diameter of the fruit (20.19%), height of the plant (19.46%), cup diameter (14.91%) and fruit length (14.57%) were the characters that contributed most to the total divergence (69.13%) among their evaluated accessions [50]. Tsonev et al. reported that fruit width, fruit weight and pericarp thickness in the negative direction and plant height in the positive direction were the most strongly correlated traits with the first axis, while fruit length and stem height correlated with the second axis [47]. Constantino et al. established that the flavonoid content (14.80%) contributed most to the genotype discrimination, followed by the fruit mass (12.81%) and fruit length (11.83%) while the ferric reducing antioxidant power (FRAP) contributed least to the phenotypic divergence (5.57%) of 22 C. baccatum accessions [37]. A biplot of PC1 and PC2 shows that the traits associated with PC1 distinctly separated accessions belonging to the kapia and pumpkin-shaped varietal types and those associated with PC2 separated accessions from blocky and corniform varietal types (Figure 6).

4. Conclusions

This study allowed us to comprehensively evaluate the diverse Balkan pepper collection representing pepper diversity and overcome the danger of eliminating accessions that are considered duplicates or non-significant for breeding. Additionally, the outlined comprehensive characterization also facilitated the identification of accessions that have unique fruit morphological features (highest productivity—K1115 and K1081), enhanced fruit quality (dry matter—K1114, TSSs—K697, TP—K712, and FRAP—K1103A), and noticeable resistance against green peach aphid (K1083), thrips (K1082), and cotton bollworm (K1083 and K697). These identified accessions are promising breeding resources and ideal for developing potential pepper ideotypes with high yield, enhanced fruit quality, and insect resistance that could be used in pre-breeding and breeding efforts in the foreseeable future.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/horticulturae10040389/s1. Figure S1: PCA variance plot depicting variance contributed by each principal component. Blue line depicts the cumulative variance and red line the variance contributed by each principal component; Table S1: Average temperature and rainfall recorded from May to September during 2018 and 2019 across the growing season; Table S2: Soil content details for the experimental field; Table S3: Evaluation of productivity and plant traits according to a varietal type; Table S4: Evaluation of fruit traits according to a varietal type; Table S5: Evaluation of biochemical traits according to a varietal type; Table S6: Evaluation of insect pest infestation according to a varietal type.

Author Contributions

Conceptualization: V.T., V.Y. and I.T.; methodology: V.T., V.Y. and I.T.; investigation: V.T., V.Y., I.T. and D.M.; data analysis: V.T., A.N.N., V.Y., I.T. and D.M.; writing—original draft preparation: V.T., A.N.N. and V.Y.; writing—review and editing: V.T., A.N.N., V.Y., I.T. and D.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Bulgarian Agricultural Academy (project ZEMDKT 15) and European Union’s Horizon 2020 research and innovation program, project PlantaSYST (SGACSA No. 739582 under FPA No. 664620) and the European Regional Development Fund through the Bulgarian “Science and Education for Smart Growth” Operational Programme (Project BG05M20P001-1.003-001-C01).

Data Availability Statement

Research data would be made available on the appropriate request.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Wahyuni, Y.; Ballester, A.R.; Sudarmonowati, E.; Bino, R.J.; Bovy, A.G. Metabolite biodiversity in pepper (Capsicum) fruits of thirty-two diverse accessions: Variation in health-related compounds and implications for breeding. Phytochemistry 2011, 72, 1358–1370. [Google Scholar] [CrossRef] [PubMed]
  2. Liu, W.Y.; Kang, W.H.; Kang, B.C. Basic Information on Pepper. In Genetics, Genomics and Breeding of Peppers and Eggplants; Kang, B.-C., Kole, C., Eds.; CRC Press Taylor and Francis Group: Boca Raton, FL, USA, 2013; p. 1. [Google Scholar]
  3. Howard, L.R.; Talcott, S.T.; Brenes, C.H.; Villalon, B. Changes in Phytochemical and Antioxidant Activity of Selected Pepper Cultivars (Capsicum Species) As Influenced by Maturity. J. Agric. Food Chem. 2000, 48, 1713. [Google Scholar] [CrossRef] [PubMed]
  4. Gnayfeed, M.H.; Daood, H.G.; Biacs, P.A.; Alcaraz, C.F. Content of bioactive compounds in pungent spice red pepper (paprika) as affected by ripening and genotype. J. Sci. Food Agr. 2001, 81, 1580. [Google Scholar] [CrossRef]
  5. Guil-Guerrero, J.L.; Martinez-Guirado, C.; Rebolloso-Fuentes, M.; Carrique-Perez, A. Nutrient composition and antioxidant activity of 10 pepper (Capsicum annuum L.) varieties. Eur. Food Res. Technol. 2006, 224, 1–9. [Google Scholar] [CrossRef]
  6. Deepa, N.; Kaur, C.; George, B.; Singh, B.; Kapoor, H.C. Antioxidant constituents in some sweet pepper (Capsicum annuum L.) genotypes during maturity. LWT Food Sci. Technol. 2007, 40, 121–129. [Google Scholar] [CrossRef]
  7. Wahyuni, Y.; Ballester, A.R.; Tikunov, Y.; de Vos, R.C.H.; Pelgrom, K.T.B.; Maharijaya, A.; Sudarmonowati, E.; Bino, R.J.; Bovy, A.G. Metabolomics and molecular marker analysis to explore pepper (Capsicum sp.) biodiversity. Metabolomics 2013, 9, 130. [Google Scholar] [CrossRef]
  8. Jürkenbeck, K.; Spiller, A.; Meyerding, S.G.H. Tomato attributes and consumer preferences—A consumer segmentation approach. Br. Food J. 2020, 122, 328–344. [Google Scholar] [CrossRef]
  9. Walsh, B.; Maltby, J.E.; Nolan, B.; Kay, I. Seasonal abundance of thrips (Thysanoptera) in Capsicum and chilli crops in south-east Queensland, Australia. Plant Prot. Q. 2012, 27, 19–22. Available online: https://search.informit.org/doi/10.3316/informit.528420674116304 (accessed on 20 October 2023).
  10. Ssemwogerere, C.; Ochwo-Ssemakula, M.K.N.; Kovach, J.; Kyamanywa, S.; Karungi, J. Species composition and occurrence of thrips on tomato and pepper as influenced by farmers’ management practices in Uganda. J. Plant Prot. Res. 2013, 53, 158–164. [Google Scholar] [CrossRef]
  11. Riley, D.; Shimat, J.; Srinivasan, R.; Diffie, S. Thrips vectors of tospoviruses. J. Integr. Pest Manag. 2011, 1, 1–10. [Google Scholar] [CrossRef]
  12. Visschers, I.G.S.; Peters, J.L.; van de Vondervoort, J.A.H.; Hoogveld, R.H.M.; van Dam, N.M. Thrips Resistance Screening Is Coming of Age: Leaf Position and Ontogeny Are Important Determinants of Leaf-Based Resistance in Pepper. Front. Plant Sci. 2019, 10, 510. [Google Scholar] [CrossRef] [PubMed]
  13. Frantz, J.D.; Gardner, J.; Hoffmann, M.P.; Jahn, M.M. Greenhouse Screening of Capsicum Accessions for Resistance to Green Peach Aphid (Myzus persicae). Hort Sci. 2004, 39, 1332–1335. [Google Scholar] [CrossRef]
  14. Mdellel, L.; Ben Halima Kamel, M. Effects of different varieties of pepper on the biological parameters of the green peach aphid Myzus persicae Sulzer (Hemiptera, Aphididae) in Tunisia. Eur. J. Environ. Sci. 2014, 4, 102–105. [Google Scholar] [CrossRef]
  15. Sannino, L.; Espinosa, B.; Caponero, A. Helicoverpa armigera (Hübner) harmful to pepper crops in Italy. Inf. Fitopatol. 2004, 54, 23–25. [Google Scholar]
  16. Li, D.-G.; Shang, X.-Y.; Reitz, S.; Nauen, R.; Lei, Z.-R.; Lee, S.H.; Gao, Y.-L. Field resistance to spinosad in western flower thrips Frankliniella occidentalis (Thysanoptera: Thripidae). J. Integr. Agric. 2016, 15, 2803–2808. [Google Scholar] [CrossRef]
  17. Weintraub, P.G. Integrated control of pests in tropical and subtropical sweet pepper production. Pest Manag. Sci. 2007, 63, 753–760. [Google Scholar] [CrossRef]
  18. Mouden, S.; Sarmiento, K.F.; Klinkhamer, P.G.L.; Leissm, K.A. Integrated pest management in western flower thrips: Past, present and future. Pest Manag. Sci. 2017, 73, 813–822. [Google Scholar] [CrossRef]
  19. Todorov, Y.; Todorova, V. Results and perspectives in the breeding and research work with pepper /C annuum L./. In Proceedings of the First Symposium on Horticulturae, Ohrid, Macedonia, 16–20 October 2002; Faculty of Agricultura Skopje University st Cyril and Methodius: Skopje, Macedonia, 2002; pp. 214–218. [Google Scholar]
  20. Denev, P.; Todorova, V.; Ognyanov, M.; Georgiev, Y.; Yanakieva, I.; Tringovska, I.; Grozeva, S.; Kostova, D. Phytochemical composition and antioxidant activity of 63 Balkan pepper (Capsicum annuum L.) accessions. J. Food Meas. Charact. 2019, 13, 2510–2520. [Google Scholar] [CrossRef]
  21. Nankar, A.N.; Todorova, V.; Tringovska, I.; Pasev, G.; Radeva, V.; Ivanova, V.; Kostova, D. A step towards Balkan Capsicum annuum L. core collection: Phenotypic and biochemical characterization of 180 accessions for agronomic, fruit quality, and virus resistance traits. PLoS ONE 2020, 15, e0237741. [Google Scholar] [CrossRef]
  22. Todorova, V.; Boteva, H.; Masheva, S.; Cholakov, T.; Kostova, D.; Yankova, V.; Dincheva, T. Technologies for open field pepper production. In Technologies for Production of Vegetable Crops and Potatoes; Masheva, S., Mihov, M., Todorova, V., Nacheva, E., Yankova, V., Boteva, H., Eds.; Blakom: Plovdiv, Bulgaria, 2014; pp. 41–66. [Google Scholar]
  23. IPGRI; AVRDC; CATIE. Descriptors for Capsicum (Capsicum spp.); International Plant Genetic Resources Institute: Rome, Italy; The Asian Vegetable Research and Development Center: Taipei, Taiwan; The Centro Agronomico Tropical de Investigacion y Ensenanza: Turrialba, Costa Rica, 1995; p. 44. [Google Scholar]
  24. Singleton, V.L.; Rossi, J.A. Colorimetry of total phenolics with phosphomolybdic phosphotungstic. Acis Reagent. Acis Reagent. Amer. J. Enol. Viticult. 1965, 6, 144–158. [Google Scholar] [CrossRef]
  25. Benzie, I.F.F.; Strain, J.J. The ferric reducing ability of plasma (FRAP) as a measure of “antioxidant power”: The FRAP assay. Anal. Biochem. 1996, 239, 70–76. [Google Scholar] [CrossRef]
  26. Leclant, F.; Remaudiere, G. Elements pour la prise en consideration des aphides integree en vergers de peshers. Entomophaga 1970, 15, 53–81. [Google Scholar] [CrossRef]
  27. Wickham, H. ggplot2: Elegant Graphics for Data Analysis (Use R!); Springer: New York, NY, USA, 2010. [Google Scholar]
  28. Josse, J.; Husson, F. missMDA: A package for handling missing values in multivariate data analysis. J. Stat. Softw. 2016, 70, 1–31. [Google Scholar] [CrossRef]
  29. Le, S.; Josse, J.; Husson, F. FactoMineR: An R package for multivariate analysis. J. Stat. Softw. 2008, 25, 1–18. [Google Scholar] [CrossRef]
  30. Kassambara, A.; Mundt, F. Factoextra: Extract and Visualize the Results of Multivariate Data Analyses. R Package Version 1.0.5. 2017. Available online: https://CRAN.R-project.org/package=factoextra (accessed on 24 July 2023).
  31. Moon, S.; Ro, N.; Kim, J.; Ko, H.-C.; Lee, S.; Oh, H.; Kim, B.; Lee, H.-S.; Lee, G.-A. Characterization of diverse pepper (Capsicum spp.) germplasms based on agro-morphological traits and phytochemical contents. Agronomy 2023, 13, 2665. [Google Scholar] [CrossRef]
  32. Elizondo-Cabalceta, E.; Monge-Perez, J.E. Morphological characterization of 15 bell pepper (Capsicum annuum) genotypes grown under greenhouse conditions in Costa Rica. InterSedes 2017, 18, 129–154. [Google Scholar] [CrossRef]
  33. Janaki, M.; Venkata Ramana, C.; Naram Naidu, L.; Paratpara Rao, M. Performance of chilli (Capsicum annuum L.) genotypes for yield and yield attributing traits. Plant Arch. 2015, 15, 661–666. [Google Scholar]
  34. Hasanuzzaman, M.; Golam, F. Selection of traits for yield improvements in chilli (Capsicum annuum L.). J. Innov. Dev. Strategy 2011, 5, 78–87. [Google Scholar]
  35. Luitel, B.P.; Lee, T.J.; Kang, W.H. Variation for fruit yield and quality characteristics in sweet pepper (Capsicum annuum L.) germplasm collection. Kor. J. Breed Sci. 2011, 43, 139–144. [Google Scholar]
  36. Bogusz Junior, S.; Libardi, S.H.; Dias, F.F.G.; Coutinho, J.P.; Bochi, V.C.; Rodrigues, D.; Melo, A.M.T.; Godoy, H.T. Brazilian Capsicum peppers: Capsaicinoids content and antioxidant activity. J. Sci. Food Agric. 2018, 98, 217–224. [Google Scholar] [CrossRef]
  37. Constantino, L.V.; Suzuki Fukuji, A.Y.; Douglas, M.Z.; Baba, V.Y.; Corte, L.E.-D.; Giacomin, R.M.; Resende, J.T.V.; Gonçalves, L.S.A. Genetic variability in peppers accessions based on morphological, biochemical and molecular traits. Bragantia 2020, 79, 558–571. [Google Scholar] [CrossRef]
  38. Parisi, M.; Alioto, D.; Tripodi, P. Overview of Biotic Stresses in Pepper (Capsicum spp.): Sources of Genetic Resistance, Molecular Breeding and Genomics. Int. J. Mol. Sci. 2020, 21, 2587. [Google Scholar] [CrossRef]
  39. Maharijaya, A.; Vosman, B.; Steenhuis-Broers, G.; Harpenas, A.; Purwito, A.; Visser, R.G.F.; Voorrips, R.E. Screening of pepper accessions for resistance against two thrips species (Frankliniella occidentalis and Thrips parvispinus). Euphytica 2011, 177, 401–410. [Google Scholar] [CrossRef]
  40. Maris, P.C.; Joosten, N.N.; Goldbach, R.W.; Peters, D. Restricted spread of tomato spotted wilt virus in thrips resistant pepper. Phytopathology 2003, 93, 1223–1227. [Google Scholar] [CrossRef]
  41. Maharijiva, A. Resistance to Thrips in Pepper. Ph.D. Thesis, Wageningen University, Wageningen, The Netherlands, 2013; p. 109. [Google Scholar]
  42. Maharijaya, A.; Vosman, B.; Verstappen, F.; Steenhuis-Broers, G.; Mumm, R.; Purwito, A.; Visser, R.G.F.; Voorrips, R.E. Resistance factors in pepper inhibit larval development of thrips (Frankliniella occidentalis). Entomol. Exp. Et Appl. 2012, 145, 62–71. [Google Scholar] [CrossRef]
  43. La Rossa, F.R.; Vasicek, A.; López, M.C. Effects of pepper (Capsicum annuum) cultivars on the biology and life table parameters of Myzus persicae (Sulz.) (Hemiptera: Aphididae). Neotrop. Entomol. 2013, 42, 634–641. [Google Scholar] [CrossRef] [PubMed]
  44. Fery, R.L.; Schalk, J.M. Resistance in pepper (Capsicum annuum L.) to western flower thrips [Frankliniella occidentalis (Pergande)]. HortScience 1991, 26, 1073–1074. [Google Scholar] [CrossRef]
  45. Tanpure, R.S.; Barbole, R.S.; Dawkar, V.V.; Waichal, Y.A.; Joshi, R.S.; Giri, A.P.; Gupta, V.S. Improved tolerance against Helicoverpa armigera in transgenic toma to over-expressing multi-domain proteinase inhibitor gene from Capsicum Annuum. Physiol. Mol. Biol. Plants 2017, 23, 597–604. [Google Scholar] [CrossRef]
  46. Dekebo, A. Major pests and pest management strategies in the sweet pepper (Capsicum annumm L.). In Capsicum—Current Trends and Perspectives; Yllano, O.B., Ed.; Intech: London, UK, 2022; pp. 82–134. [Google Scholar] [CrossRef]
  47. Tsonev, S.; Todorova, V.; Grozeva, S.; Popova, T.; Todorovska, E. Evaluation of diversity in Bulgarian pepper cultivars by agronomical traits and ISSR markers. Genetika 2017, 49, 647–662. [Google Scholar] [CrossRef]
  48. Martínez-Ispizua, E.; Calatayud, Á.; Marsal, J.I.; Mateos-Fernández, R.; Díez, M.J.; Soler, S.; Valcárcel, J.V.; Martínez-Cuenca, M.-R. Phenotypic Divergence among Sweet Pepper Landraces Assessed by Agro-Morphological Characterization as a Biodiversity Source. Agronomy 2022, 12, 632. [Google Scholar] [CrossRef]
  49. Singh, P.; Jain, P.K.; Tiwari, A. Principal component analysis approach for yield attributing traits in chilli (Capsicum annum L.) genotypes. Chem. Sci. Rev. Lett. 2020, 9, 87–91. [Google Scholar] [CrossRef]
  50. Bianchi, P.A.; Dutra, I.P.; Moulin, M.M.; Santos, J.O.; Júnior, A.C.S. Morphological characterization and analysis of genetic variability among pepper accessions. Cienc. Rural 2016, 46, 1151–1157. [Google Scholar] [CrossRef]
Figure 1. Pepper varietal types: corniform (A), blocky (B), pumpkin (C), and kapia (D) shapes.
Figure 1. Pepper varietal types: corniform (A), blocky (B), pumpkin (C), and kapia (D) shapes.
Horticulturae 10 00389 g001
Figure 2. Bar chart depicting plant trait variation among varietal types. Mean separation of varietal groups was assessed using t-test, (LSD), and means with the same letters do not show significant differences among varietal groups.
Figure 2. Bar chart depicting plant trait variation among varietal types. Mean separation of varietal groups was assessed using t-test, (LSD), and means with the same letters do not show significant differences among varietal groups.
Horticulturae 10 00389 g002
Figure 3. Bar chart depicting fruit morphology trait variation among varietal types. Mean separation of varietal groups was assessed using t-tests (LSD), and means with the same letters do not show significant differences among varietal groups.
Figure 3. Bar chart depicting fruit morphology trait variation among varietal types. Mean separation of varietal groups was assessed using t-tests (LSD), and means with the same letters do not show significant differences among varietal groups.
Horticulturae 10 00389 g003
Figure 4. Bar chart depicting fruit quality trait variation among varietal types. Mean separation of varietal groups was assessed using t-tests (LSD), and means with the same letters do not show significant differences among varietal groups.
Figure 4. Bar chart depicting fruit quality trait variation among varietal types. Mean separation of varietal groups was assessed using t-tests (LSD), and means with the same letters do not show significant differences among varietal groups.
Horticulturae 10 00389 g004
Figure 5. Bar chart depicting insect pests’ infestation evaluated across varietal types.
Figure 5. Bar chart depicting insect pests’ infestation evaluated across varietal types.
Horticulturae 10 00389 g005
Figure 6. Accession by trait (A*T) biplot discerning accession distinctness. The A*T biplot was constructed based on the variability of biochemical and morphological traits.
Figure 6. Accession by trait (A*T) biplot discerning accession distinctness. The A*T biplot was constructed based on the variability of biochemical and morphological traits.
Horticulturae 10 00389 g006
Table 1. Analysis of variance (ANOVA) for plant and fruit morphological and quality traits of studied accessions.
Table 1. Analysis of variance (ANOVA) for plant and fruit morphological and quality traits of studied accessions.
20182019Across Years
TraitsAccesReplA*R InterAccesReplA*R InterAccesReplYearA*R InterA*Y InterR*Y Inter
DF224224221422
Morphological Traits:
Plant Height3.20 **0.0146.95 ***4.41 ***0.797757 ***4.99 ***0.1421.775.03 ***3.98 ***1.06
Stem Height2.02 *0.204487 ***3.44 **0.8329.01 ***2.71 ***0.010.152.58 **3.05 ***0.03
Branches1.880.36576.38 ***1.250.0321.39 ***1.72*1.014.98 *1.581.92 *1.88
Productivity2.45 **0.0171.99 ***1.830.951086 ***0.860.0116.7 ***0.902.27 **0.01
Fruit Length73.94 ***0.2611.08 ***106.12 ***0.023.77 ***97.67 ***0.100.0371.15 ***64.82 ***0.42
Fruit Width10.23 ***0.395.20 ***25.81 ***0.035.64 ***23.29 ***0.066.71 **15.75 ***15.39 ***0.13
Fruit Wall Thickness 10.94 ***0.0412.02 ***7.06 ***0.366.85 ***10.13 ***3.530.069.79 ***9.35 ***1.26
Locules3.44 **0.0221.80 ***3.98 ***0.3222.10 ***6.41 ***0.180.305.03 ***4.29 ***0.67
Fruit Weight10.32 ***0.0712.07 ***8.38 ***0.0114.83 ***13.10 ***0.210.188.58 ***8.61 ***0.05
Edible Part2.98 **0.15267.76 ***1.711.86556.17 ***1.233.281.921.162.78 ***2.17
Fruit Quality Traits:
Dry Matter13.50 ***0.01508.26 ***31.30 ***0.0173.64 ***24.31 ***0.150.3623.16 ***23.68 ***0.003
TSSs19.82 ***0.1442.51 ***32.08 ***0.0325.74 ***37.28 ***0.030.9630.58 ***33.17 ***0.28
FRAP1.930.49145.52 ***16.15 ***0.0329.70 ***6.17 ***0.4117.2 ***4.99 ***8.30 ***0.04
Total Polyphenols7.65 ***0.79105.50 ***37.14 ***0.0136.41 ***11.36 ***0.620029.39 ***25.99 ***0.11
*, **, *** Significant differences among accessions at p < 0.05, <0.01, and <0.001, respectively. Abbreviations: A: accession, R: replication, Y: year, Inter: interaction, DF: degrees of freedom, TSSs: total soluble solids, and FRAP: ferric reducing antioxidant power.
Table 2. Passport data of the evaluated pepper accessions along with plant traits and productivity means and standard errors. Mean separation of the evaluated accessions was assessed using t-test, (LSD), and means with the same letters do not show significant differences.
Table 2. Passport data of the evaluated pepper accessions along with plant traits and productivity means and standard errors. Mean separation of the evaluated accessions was assessed using t-test, (LSD), and means with the same letters do not show significant differences.
CodeAccessionNameOriginPopulation TypePlant Height (cm)Stem Height(cm)Branches (n)Productivity (kg/plant)
Corniform
G1K696Chorbadzhiyski SladakBulgariaLocal Form75.42 E–H ± 13.3925.25 A–D ± 7.562.42 E ± 0.510.50 B–D ± 0.15
Dolma (Blocky)
G2K1086B2E0048BulgariaLocal Form70.42 G–J ± 9.6420.42 E,F ± 4.502.58 C–E ± 0.510.66 A–C ± 0.33
G3K109889601135/25466GreeceBreeding Line74.17 E–I ± 17.922.08 C–F ± 7.822.92 A–C ± 0.510.61 A–D ± 0.34
G4K109989601136/25467GreeceBreeding Line76.25 D–H ± 13.5122.08 C–F ± 3.343.00 A,B ± 0.000.53 B–D ± 0.21
G5K110089601137/25468GreeceBreeding Line92.08 A ± 12.3324.58 A–E ± 7.823.00 A,B ± 0.600.64 A–D ± 0.23
G6K1112B1E0372AlbaniaLocal Form87.92 A,B ± 9.8823.75 B–E ± 6.082.50 D,E ± 0.520.46 B–D ± 0.11
Pumpkin
G7K1053B1E0021BulgariaLocal Form75.00 D–H ± 9.5326.67 A–C ± 5.372.67 B–E ± 0.490.50 B–D ± 0.12
G8K1055B1E0059BulgariaLocal Form72.08 F–J ± 10.7622.08 C–F ± 4.982.75 B–E ± 0.450.50 C,D ± 0.11
G9K1056B1E0061BulgariaLocal Form82.92 A–E ± 12.5221.67 D–F ± 3.892.42 E ± 0.510.59 A–D ± 0.15
G10K1057B1E0062BulgariaLocal Form80.42 B–G ± 9.8823.34 B–E ± 4.442.67 B–E ± 0.670.65 A–D ± 0.12
G11K1083B2E0040BulgariaLocal Form74.58 D–H ± 10.7620.42 E,F ± 3.962.58 C–E ± 0.510.49 B–D ± 0.09
G12K1103ARuminska SipkaUnknownNot Applicable68.33 H–J ± 13.8718.33 F ± 5.772.83 B–D ± 0.580.67 A–C ± 0.12
G13K1115B1E0405AlbaniaLocal Form69.17 H–J ± 12.9417.92 F ± 5.422.92 A–C ± 0.510.74 A ± 0.31
G14K712Kambi S-34BulgariaLocal Form86.67 A–C ± 11.3524.17 A–E ± 4.693.25 A ± 0.450.64 A–D ± 0.17
Kapia
G15K1074B1E0250North MacedoniaLocal Form77.08 C–H ± 11.3727.92 A,B ± 4.503.00 A,B ± 0.430.56 A–D ± 0.20
G16K1081B2E0034BulgariaLocal Form64.17 I–K ± 9.2523.75 B–E ± 7.722.67 B–E ± 0.490.70 A,B ± 0.33
G17K1093B1E0504BulgariaLocal Form75.00 D–H ± 12.6128.75 A ± 5.282.83 B–D ± 0.390.55 A–D ± 0.12
G18K1094B1E0525BulgariaLocal Form84.58 A–D ± 13.7326.25 A–D ± 4.332.92 A–C ± 0.510.67 A–C ± 0.12
G19K1103BRuminska SipkaUnknownNot Applicable57.50 K ± 9.1720.00 E,F ± 3.692.67 B–E ± 0.490.54 A–D ± 0.16
G20K1114B1E0378BulgariaLocal Form82.08 A–F ± 12.1526.67 A–C ± 5.372.58 C–E ± 0.510.60 A–D ± 0.20
G21K697Kapia Sladka S-11BulgariaLocal Form62.92 J,K ± 6.8922.08 C–F ± 3.962.83 B–D ± 0.390.48 B–D ± 0.11
Table 3. Evaluation of pepper accessions for important fruit morphology traits. Uppercase letters represent accession mean differences within each varietal group.
Table 3. Evaluation of pepper accessions for important fruit morphology traits. Uppercase letters represent accession mean differences within each varietal group.
CodeAccessionLocules (n)FruitEdible Part (%)
Length (cm)Width (cm)Thickness (mm)Weight (g)
Corniform
G1K6962.17 H ± 0.3922.67 A ± 2.722.12 G ± 0.292.09 J ± 0.4629.29 J ± 8.4784.98 D–G ± 6.11
Blocky
G2K10863.25 A,B ± 0.457.65 D ± 1.476.03 F ± 1.094.42 E–G ± 1.0587.06 H,I ± 32.2388.41 A–C ± 3.60
G3K10983.58 A ± 0.517.53 D ± 0.676.20 E,F ± 0.383.48 I ± 0.5476.38 I ± 14.5985.29 C–F ± 2.37
G4K10993.58 A ± 0.677.63 D ± 0.796.64 E,F ± 0.803.35 I ± 0.6998.69 G,H ± 19.8584.58 E–G ± 3.96
G5K11003.25 A,B ± 0.627.44 D ± 0.706.23 E,F ± 0.573.81 G–I ± 1.1481.27 H,I ± 15.0483.89 G–F ± 2.60
G6K11123.08 B–D ± 0.516.78 D ± 0.896.06 F ± 0.643.76 G–I ± 0.4874.62 I ± 16.5684.52 E–G ± 6.04
Pumpkin
G7K10533.08 B–D ± 0.513.42 E,F ± 0.947.61 B,C ± 0.795.14 D,E ± 0.87124.64 D,E ± 13.3286.94 A–F ± 3.45
G8K10553.25 A,B ± 0.454.48 E ± 0.948.58 A ± 0.895.96 A,B ± 1.07151.82 B ± 45.1486.84 A–F ± 2.90
G9K10563.17 B,C ± 0.394.06 E,F ± 1.068.08 A,B ± 1.165.71 B,C ± 1.10148.11 B,C ± 31.2987.24 A–F ± 7.37
G10K10573.08 B–D ± 0.674.35 E ± 0.927.59 B,C ± 0.806.66 A ± 1.26129.59 C–E ± 13.7285.23 C–F ± 3.04
G11K10832.83 C–F ± 0.724.13 E ± 0.747.54 B–D ± 0.885.83 B,C ± 0.87128.85 C–E ± 48.2188.98 A,B ± 3.70
G12K1103A2.75 D–F ± 0.452.87 F ± 0.686.18 E,F ± 0.385.28 B–D ± 1.0568.86 I ± 11.0983.44 G ± 5.02
G13K11153.17 B,C ± 0.394.08 E,F ± 0.927.68 B,C ± 0.795.65 B,C ± 0.97120.16 D–F ± 17.8687.39 A–E ± 3.50
G14K7123.25 A,B ± 0.453.91 E,F ± 0.987.69 B,C ± 0.725.31 B–D ± 1.00121.01 D,E ± 24.1987.89 A–E ± 4.86
Kapia
G15K10742.33 H–G ± 0.4912.83 C ± 1.346.88 D,E ± 1.004.71 D–F ± 1.01131.69 B–D ± 27.6989.11 A,B ± 2.91
G16K10812.17 H ± 0.3912.93 C ± 1.396.14 F ± 1.334.37 E–H ± 1.07122.53 D,E ± 28.4488.10 A–D ± 2.88
G17K10932.58 F,G ± 0.5113.26 C ± 0.906.26 E,F ± 0.724.07 F–I ± 1.28138.60 B–D ± 21.4989.57 A ± 2.07
G18K10942.33 H–G ± 0.4913.57 C ± 1.597.37 C,D ± 0.804.66 D–F ± 0.31178.48 A ± 25.4188.10 A–D ± 2.73
G19K1103B2.67 E–G ± 0.7812.88 C ± 1.766.16 F ± 1.164.63 D–F ± 1.20111.02 E–G ± 28.7686.00 B–F ± 3.50
G20K11142.33 H–G ± 0.4916.27 B ± 3.135.11 G ± 0.444.02 F–I ± 1.0299.67 F–H ± 25.7786.29 A–F ± 6.07
G21K6973.00 B–E ± 0.0013.33 C ± 1.094.92 G ± 0.403.65 I,H ± 0.4980.16 H,I ± 9.4786.34 A–F ± 2.36
Table 4. Assessment of pepper accessions for fruit quality traits. Uppercase letters represent accession mean differences within each varietal group.
Table 4. Assessment of pepper accessions for fruit quality traits. Uppercase letters represent accession mean differences within each varietal group.
CodeAccessionHarvestingDry Matter (%)TSSs (Brix)FRAP
(µmol Fe2+/g FW)
Total Polyphenols (mg GAE/100 g FW)
Corniform
G1K696before #8.93 G ± 0.534.90 G ± 0.554.37 F,G ± 1.3479.01 J ± 25.92
Blocky
G2K1086before6.64 I ± 0.474.45 G,H ± 0.283.72 G ± 0.6767.64 J,K ± 17.43
G3K1098before7.40 H ± 0.564.43 G,H ± 0.733.12 G ± 0.7867.81 J,K ± 20.95
G4K1099before6.65 I ± 0.564.13 H ± 0.342.20 G ± 0.5454.66 K ± 10.21
G5K1100before7.55 H ± 0.244.50 G,H ± 0.472.81 G ± 0.3861.63 J,K ± 8.97
G6K1112before7.53 H ± 0.694.47 G,H ± 0.452.56 G ± 0.5161.47 J,K ± 19.10
Pumpkin
G7K1053at maturity ##10.02 D–F ± 1.358.07 C–E ± 1.478.40 B–E ± 3.87138.58 F–H ± 26.64
G8K1055at maturity9.97 D–F ± 0.587.87 D,E ± 0.5511.48 A ± 4.65161.82 C–E ± 34.04
G9K1056at maturity9.64 E,F ± 0.217.53 E,F ± 0.4310.17 A–C ± 3.11150.48 D–F ± 42.70
G10K1057at maturity10.02 D–F ± 0.777.58 E,F ± 0.778.67 B–E ± 4.74154.54 C–F ± 55.86
G11K1083at maturity10.52 C,D ± 1.018.50 B,C ± 1.018.46 B–E ± 2.82140.16 E–H ± 20.96
G12K1103Aat maturity10.23 C–E ± 0.707.80 D–F ± 0.7311.49 A ± 5.39189.55 A ± 43.79
G13K1115at maturity9.56 F,G ± 0.557.22 F ± 0.628.08 C–E ± 2.99175.59 B,C ± 53.50
G14K712at maturity10.73 B,C ± 0.537.97 C–E ± 0.739.99 A–D ± 3.98203.44 A ± 46.64
Kapia
G15K1074at maturity10.57 C,D ± 0.748.78 A,B ± 0.566.47 E,F ± 1.26114.51 I ± 20.86
G16K1081at maturity10.52 C,D ± 0.688.42 B–D ± 0.666.70 E ± 1.18122.90 H,I ± 27.68
G17K1093at maturity10.46 C,D ± 0.408.73 B ± 0.517.05 E ± 1.89123.31 G–I ± 23.88
G18K1094at maturity9.95 D–F ± 0.718.37 B–D ± 0.667.79 D,E ± 1.93125.78 G–I ± 30.29
G19K1103Bat maturity10.33 C,D ± 0.967.95 C–E ± 0.158.22 C–E ± 1.64138.55 F–H ± 27.99
G20K1114at maturity11.66 A ± 0.609.38 A ± 0.587.41 E ± 1.97144.97 D–G ± 12.77
G21K697at maturity11.28 A,B ± 0.748.78 A,B ± 0.7410.60 A,B ± 1.92166.04 C,D ± 19.42
Legend: # Well-ripened fruit in intermediate-maturity stage—green, pale yellow, etc.; ## well-ripened fruit at maturity—red, orange, brown, etc. Abbreviations: TSSs: total soluble solids and FRAP: ferric reducing antioxidant power.
Table 5. Infestation by insect pests in pepper accessions grown in open field.
Table 5. Infestation by insect pests in pepper accessions grown in open field.
CodeAccessionGreen Peach AphidThripsCotton Bollworm
Damaged Plants (%)Degree of InfestationDamaged Plants (%)Degree of InfestationDamaged Plants (%)Damaged Fruit (%)
Corniform
G1K6960.000.0030.951.425.956.67
Blocky
G2K10860.000.0039.051.1712.1511.67
G3K10984.780.6732.881.2514.3216.67
G4K10990.000.0030.001.4215.8410.00
G5K11003.130.5034.590.9218.968.34
G6K11129.670.5032.341.0813.1711.67
Pumpkin
G7K10530.840.0928.890.928.5210.84
G8K10552.500.1741.551.0912.1511.67
G9K10560.000.0033.341.0010.5615.84
G10K10570.000.0031.101.0910.2732.50
G11K10830.840.0040.841.005.005.00
G12K1103A0.000.0040.711.0012.697.50
G13K11152.500.0938.261.1713.268.34
G14K7120.000.0039.931.005.6111.67
Kapia
G15K10742.690.5930.930.9211.215.00
G16K10812.500.0939.651.2513.939.17
G17K10932.500.1727.981.6713.5710.84
G18K10940.840.0934.011.508.2310.84
G19K1103B1.790.5029.651.428.571.67
G20K11143.340.1728.240.927.8711.67
G21K6970.000.0020.000.756.678.34
Table 6. Discriminant analysis based on variable contribution, eigenvalue, eigenvector and correlation between eigenvectors of first two principal components (PCs).
Table 6. Discriminant analysis based on variable contribution, eigenvalue, eigenvector and correlation between eigenvectors of first two principal components (PCs).
TraitFeaturesCorr. Coeff. (R2)EigenvectorEigenvalueVariance (%)Cumulative Variance (%)
PC1PC2PC1PC212
Plant Height0.731.90−0.072−0.05−0.072−0.0455.53030.7430.74
Stem Height0.165.95−0.070.29−0.0720.2903.91021.7752.52
Branches0.312.230.01−0.100.011−0.0982.06011.4663.98
Productivity0.913.55−0.190.37−0.2000.3671.4708.1972.18
Fruit Length2.1418.660.29−0.260.291−0.2571.1806.5678.75
Fruit Width7.0011.170.39−0.170.398−0.1681.0806.0084.75
Fruit Wall Thickness12.125.64−0.06−0.42−0.061−0.4190.8904.9989.75
Locules0.5216.410.290.030.2960.0300.7704.2894.03
Fruit Weight9.380.690.220.160.2180.1550.3702.0896.11
Edible Part5.121.340.07−0.160.067−0.1580.2201.2697.38
Dry Matter10.957.480.280.330.2790.3300.1801.0298.40
Total Soluble Solids13.204.880.260.390.2590.3890.1300.7299.13
FRAP14.580.290.40−0.020.402−0.0170.0600.3499.47
Total Polyphenols14.540.080.39−0.020.392−0.0240.0400.2399.70
Aphid Damage3.210.23−0.150.08−0.1500.0760.0200.1599.86
Thrips-Damage1.207.290.15−0.290.150−0.2980.0100.0999.95
Cotton Ballworm Plant Damage3.807.91−0.24−0.23−0.240−0.2300.0040.0299.98
Fruit Damage0.144.29−0.01−0.20−0.001−0.2040.0020.01100.0
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Todorova, V.; Nankar, A.N.; Yankova, V.; Tringovska, I.; Markova, D. Assessment of Balkan Pepper (Capsicum annuum L.) Accessions for Agronomic, Fruit Quality, and Pest Resistance Traits. Horticulturae 2024, 10, 389. https://doi.org/10.3390/horticulturae10040389

AMA Style

Todorova V, Nankar AN, Yankova V, Tringovska I, Markova D. Assessment of Balkan Pepper (Capsicum annuum L.) Accessions for Agronomic, Fruit Quality, and Pest Resistance Traits. Horticulturae. 2024; 10(4):389. https://doi.org/10.3390/horticulturae10040389

Chicago/Turabian Style

Todorova, Velichka, Amol N. Nankar, Vinelina Yankova, Ivanka Tringovska, and Dima Markova. 2024. "Assessment of Balkan Pepper (Capsicum annuum L.) Accessions for Agronomic, Fruit Quality, and Pest Resistance Traits" Horticulturae 10, no. 4: 389. https://doi.org/10.3390/horticulturae10040389

APA Style

Todorova, V., Nankar, A. N., Yankova, V., Tringovska, I., & Markova, D. (2024). Assessment of Balkan Pepper (Capsicum annuum L.) Accessions for Agronomic, Fruit Quality, and Pest Resistance Traits. Horticulturae, 10(4), 389. https://doi.org/10.3390/horticulturae10040389

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop