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Evaluation of the Diploid Wild Potatoes Pollen Traits under Heat Stress

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13 June 2024

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Abstract
Screening of pollen traits in diploid wild potatoes (Solanum sect. Petota, Solanaceae) is desirable to develop heat-tolerant potato (S. tuberosum) cultivars. To accomplish this goal requires exploring potato genetic resources that are conserved in genebanks. The goal of this study was to assess pollen viability and 2n pollen production of the diploid potato wild relatives under heat stress condition. We assessed pollen viability and size of nine potato accessions conserved at the Embrapa Potato Gene Bank, including eight wild potatoes S. chacoense (BRA 00167447-2, BRA 00167017-3, BRA 00167023-1, BRA 00167028-0), S. commersonii (BRA00167007-4, BRA00167420-9, BRA00183760-8), and S. malmeanum (BRA 00183755-8), along with a control accession from the cultivated species S. tuberosum (BRA 00167251-8). The plant accessions were cultivated in different growth chambers, subjected to both control temperature (ranging from 14 to 27°C) and supraoptimal temperature conditions (ranging from 24 to 34°C). At heat stress, the accessions BRA 00167251-8 did not bloom, and BRA 00167023-1 did not produce pollen. The remaining accessions did not exhibit a significant reduction in pollen viability as the temperature increased. Pollen viability at the control temperature had the lowest value in BRA-00167420-9 (S. commersonii) with 68.5% and the highest in BRA 00183755-8 (S. malmeanum) with 100%. At the supraoptimal temperature the lowest value was in BRA 00167420-9 (S. commersonii) with 54.5% and the highest in BRA 00167017-3 (S. chacoense) with 94%. The average of pollen diameter was 20 μm in all wild potato genotypes, and the increase of temperature did not lead to 2n pollen production. Estimated Genotypic Coefficient of Variation (GCV) was lower than Phenotypic Coefficient of Variation (PCV) for pollen viability. The observed heritability values ranged from 58.82% in BRA00167007-4 to 91.32% in BRA 00183755-8. Our results highlight the genetic variability available in wild potato germplasm concerning pollen viability under heat stress. Furthermore, these first insights offer valuable guidance for ongoing and future endeavors in diploid potato breeding.
Keywords: 
Crop wild relatives
;  
diploid breeding
;  
pre-breeding
;  
Solanaceae
;  
variability
Subject: 
Biology and Life Sciences  -   Plant Sciences

Introduction

As F1-hybrid potato breeding continues to progress, assessing pollen viability becomes an essential trait in germplasm screening (Li et al. 2022). In regions characterized by tropical climates with high temperatures, identify genotypes that exhibit robust blooming and maintain appropriate pollen viability under supraoptimal temperatures can be advantageous for cultivating True Potato Seeds (TPS) propagated cultivars (Malagamba 1988; Buckseth et al. 2022). In the context of global climate change, it is crucial to explore the phenotypic plasticity of crops in response to rising temperatures to anticipate potential heat-related effects (Bloomfield et al. 2014). Given future climate change scenarios projecting a 1 to 3°C increase in global average temperatures during the twenty-first century (IPCC, 2018; Portner et al. 2022), there is a potential for substantial reductions in agricultural production and impacts on natural populations of crop wild relatives in their natural distribution areas, including potatoes (Jarvis et al. 2008; Vincent et al. 2019).
Globally, potato (Solanum tuberosum L., Solanaceae) ranks as the third most important crop, behind rice and wheat (Silva and Lopes 2015; Stokstad 2019). Despite the genetic diversity of the commercially potato crop is relatively limited (Hardigan et al. 2017), potatoes encompass a phylogenetic branch comprising 107 wild species, four domesticated species, and their natural and artificial hybrids (Spooner et al. 2007; Ovchinnikova et al. 2011; Spooner et al. 2014). Natural populations of potato wild species have evolved in extreme environmental conditions, such as drought, high temperatures, intense sunlight, and high altitudes, given their extensive geographical distribution in the Americas continent, ranging from North America in the southwestern United States (latitude 38 °N), through Central and South America to Argentina, and adjacent mainland in Chile (39 °S), including Brazil (Hawkes and Hjerting 1969; Hijmans and Spooner 2001). Genetic variability is essential for maintaining and improving the genetic base of agricultural crops (Magal et al. 2021; Singer et al. 2021; Singh et al. 2023). This variability is abundant within crop wild relatives, which serve as natural repositories of genes possessing agronomic, industrial, and nutritional significance (Jansky 2006; Warschefsky et al. 2014; Bethke et al. 2017; Dempewolf et al. 2017; Bashir et al. 2021).
Domesticated and wild potatoes are members of Solanum sect. Petota, capable of both sexual reproduction, involving botanical seeds, and vegetative propagation through stolons and tubers (Hawkes 1958; Correll 1962). Particularly, the capacity to produce diploid inbred lines and propagate via TPS (Stokstad 2019; Lindhout et al. 2011; Jansky et al. 2016; Bradshaw 2022a) contrasts with the predominant method of propagating tetraploid commercial potato crops (2n=4x=48), which is through vegetative means using tubers (Bradshaw 2022b). Diploid potato cultivars propagated through TPS aid in preventing the transmission of viruses to subsequent generations and facilitate the storage and conservation of propagative material (Jansky et al. 2016; Bradshaw 2022a). This stark contrast has heightened significant interest among breeders, farmers, and the seed industry in the development of F1-hybrid potato cultivars (Bradshaw 2022a; De Vries et al. 2016; Bethke et al. 2022). Breeding potatoes, particularly through F1-hybrid approaches, can facilitate the genetic mapping studies (Endelman and Jansky 2016; Meijer et al. 2018; Song and Endelman 2023). This heightened interest is further fueled by the accessibility of modern plant breeding techniques and genetic tools (Li et al. 2022; Bethke et al. 2019; Watson et al. 2018).
The effect of heat stress can lead to the formation of unreduced (2n) gametes in many crop species, such as roses (Rosa sp.) (Pécrix et al. 2011), tomato (Solanum lycopersicon L.) (Schindfessel et al. 2023), and wheat (Triticum turgidum L.) (Omidi et al. 2014), causing pollen unviability (Alam et al. 2017; Jiang et al. 2015; Jian et al. 2019), and consequently disrupt the stability of the natural populations (Zhou et al. 2022). Pollen viability studies in wild potato species grown under heat stress conditions are scarce in the literature. The identification of heat-tolerant wild potato genotypes regarding pollen viability favors the direction of future studies that relate stress, as plants respond to heat stress, triggering a cascade of physiological, biochemical, and molecular processes and adapt by activating several stress-responsive genes (Hasanuzzaman et al. 2013; Paupière et al. 2014). Conducting a screening for the ability to produce viable pollen under heat stress conditions is crucial for identifying heat tolerant genotypes (Paupière et al. 2017; Mesihovic et al. 2016). This process paves the way for further molecular characterization of genes involved and facilitates the selection of promising genotypes for future stages of a plant breeding program (Paupière et al. 2014; Mesihovic et al. 2016; Ahmed et al. 2022), such as potato.
By investigating the impact of temperature on pollen viability and 2n pollen production in diploid potato wild relatives, our study aims to contribute to the identification of genotypes that can thrive in high-temperature environments. This research is crucial for developing pre-breeding potato lines capable of withstand the challenges posed by global climate change.

Materials and Methods

Plant Material

In Brazil, three potato wild species are naturally distributed: Solanum chacoense Bitter, S. commersonii Dunal, and S. malmeanum Bitter (Spooner et al. 2014; 2016). We evaluated nine wild potato accessions from the species S. chacoense (BRA 00167447-2, BRA 00167017-3, BRA 00167023-1, BRA 00167028-0), S. commersonii (BRA00167007-4, BRA00167420-9, BRA00183760-8), and S. malmeanum (BRA 00183755-8), as well as a control accession from of the commercial cultivar of S. tuberosum named BRSIPR-BEL (BRA 00167251-8) which are conserved at the Embrapa Potato Gene Bank (Table 1).
Tubers of uniform size were planted in a 5L plastic container with TurfaFértil® organomineral substrate and supplemental fertilizer according to the crop instructions. The plants were transported to the growth chambers after 15 days of growth and exposed to two temperature gradients: control temperature, with thermal amplitude ranging from 14 to 27°C (Figure 1, blue line); and supraoptimal temperature, with amplitude ranging from 24 to 34°C (Figure 1, red line). The plant growth chamber was developed by InstalaFrio, a brazilian manufacturer. The photoperiod was programmed with 12 hours (7:00 to 19:00) in a supervisory software LabVIEW®, using ten groups of LED bulb lamps with a light intensity of about 400 mol m-2 s-1. Temperature control was carried out, for heating, by a reverse refrigeration system complemented by electrical resistance, and for cooling, by an air condenser refrigeration unit with hermetic compressor. The plants stayed under these two distinct treatments until harvest.
A double factorial experimental scheme 9 × 2 (genotype vs. temperature), was set up in randomized blocks with two replications each consisting of one plant.

Pollen Viability Assessment

Five flowers in the anthesis stage (when the floral bud opens) from each accession were collected on the same day for anther extraction and pollen processing (Alexander 1969). All the accessions from the two treatments opened the flowers in the same week, and pollen from each plant accession was collected seven days after the anthesis. Pollen from each plant was collected and preserved in 1.5 mL tubes in a freezer (-4°C) until analysis. To determine pollen viability, the percentage of staining pollen (PSP) was assessed in 400-grain sample dyed with red aceto-carmine glycerol (Marks 1954). Colored pollen was considered viable, and non-colored pollen was considered unviable (Figure 2). The examination of samples, as described in the technique provided by the protocol of CIP (International Potato Center) (Ordoñez et al. 2017), was conducted using an optical microscope with 200x magnification.
Pollen viability (percent) was calculated according to the formula:
V i a b i l i t y % = N u m b e r   o f   s t a i n e d   p o l l e n   g r a i n s T o t a l   n u m b e r   o f   p o l l e n   g r a i n s × 100
Based on the viability range data obtained, four distinct categories were defined to classify pollen viability (Ordoñez et al. 2017). The percentage of pollen viability was considered sterile (0%), low (> 0% and ≤ 50%), moderate (>50% and ≤ 80%), or high (> 80% and ≤ 100%).

Pollen Size

For analysis of pollen size, pollen from each accession subjected to both temperature treatments was collected and analyzed following the protocol described by CIP (Ordoñez et al. 2017; Quinn et al. 1974). To distinguish 2n pollen, 50 viable pollen grains were stained with a droplet of 2% (w/v) aceto-carmine solution on a microscope slide. Pollen size was measured using an optical microscope. Enlarged pollen grains were classified as 2n pollen if the average diameter under heat stress condition exceeds 1.2 times the average diameter of the pollen grains in the control condition (Ordoñez et al. 2017; Quinn et al. 1974).

Pollen Viability-Based Heat Susceptibility Index (HSIpv)

The pollen viability-based heat susceptibility index (HSIpv) was calculated in Microsoft Excel 2023 using percent pollen viability values of heat stress and normal conditions, following the formula below (Fischer and Maurer 1978; Khan et al. 2022):
H S I p v = ( 1 − x   s t r e s s x   n o r m a l ) / ( 1 − x ¯   s t r e s s x ¯   n o r m a l )
Building upon, HSIpv genotypes were grouped into three classes: tolerant (HSIpv <0.5), moderately tolerant (HSIpv 0.5-0.99), and susceptible (HSIpv >1.0).

Genetic Parameters

The basic genetic parameters—phenotypic coefficient of variation (PCV%), genotypic coefficient of variation (GCV%), broad sense heritability (H²), genetic gain (GG) and genetic advance (GA)—were calculated. The PCV% and GCV% were calculated using the formulas: PCV%=(√VP)/mean×100 and GCV%=(√VG)/mean×100, respectively.
To categorize the GCV and PCV values, the classification proposed by Burton (1952) was employed. GCV and PCV values falling within the range of 0 to ≤10% were classified as low, values ranging from 10 to ≤20% were categorized as moderate, and values exceeding 20% were considered high.
Genotypic variance was calculated using the formula:
V G = M S t − M S e r
where:
MSt = Mean sum of squares for trait of genotype.
MSe = Mean sum of squares for error of genotype.
r = Number of replications.

Phenotypic Variance

V P = V G + V E
VP = Phenotypic variance for each trait of genotype.
VG = Genotypic variance for each trait of genotype.
VE = Environmental variation among the tested traits of genotype.

Heritability

Heritability was estimated as the ratio of total genotypic variance to the phenotypic variance (Allard 1960):
H 2 = V g V p × 100
where H2 = % broad sense heritability percentage. The heritability percentage was categorized as low (0–30%), moderate (30–60%), and high ≥60% as given by Robinson et al. (1949):
G G % = G A ∑ × 100
The genetic gain was calculated by the ratio of genetic advance (GA= (k× √(Vp)× H2), where k represents the constant value 2.06 at 5% selection intensity, and Vp is the phenotypic variance. The overall mean of the population used is denoted by ∑.

Statistical Analysis

The standard error and the significance of differences (p≤0.05) for temperature, genotype, and genotype interaction were determined using analysis of variance (ANOVA) for pollen viability and pollen size. Following that, the Tukey mean comparison test was used, and the analyses were carried out using the function fat2.dbc of the ‘ExpDes.pt’ package (Ferreira et al. 2021) in the RStudio environment (RStudio Team 2023).

Results and Discussion

Analysis of Variance

The results of the ANOVA indicated that the main effects, genotype and temperature, are significant, while block and the genotype by environment (G×E) interaction are not significant (Table 2).

Pollen Viability-Based Heat Susceptibility Index (HSIpv)

Table 3 presents the genetic parameters estimated for pollen viability. GCV (15.76%) was lower than PCV (17.84%). According to Johnston et al. (1955) genetic advance (% average) is categorized as low (<10%), moderate (10–20%) and high (>20%). In our study, the genetic advance for pollen viability was high (23.30%) (Table 3).
Pollen viability of the potato wild genotypes from two experimental conditions is presented in Table 4. As the genotype by environment (G×E) interaction was non-significant, the Tukey test was only applied for each treatment. At the control (CT) conditions, genotypes BRA 00183755-8, BRA 00167017-3, BRA 00167028-0, BRA 00167447-2, and BRA00167007-4 exhibited the highest pollen viability values. Conversely, genotypes BRA00167420-9 and BRA00183760-8 displayed the lowest pollen viability. Under heat stress (HS) conditions, the maximum pollen viability was observed in genotypes BRA 00167017-3, BRA 00183755-8, and BRA 00167028-0. However, the genotypes BRA 00167447-2, BRA00183760-8, BRA00167007-4, and BRA00167420-9 demonstrated lower pollen viability under HS conditions. A non-significant reduction in pollen viability was observed with increasing temperature in genotypes BRA00167007-4, BRA00167420-9, BRA 00167447-2, BRA 00167017-3, BRA 00167028-0, BRA 00183755-8, and BRA00183760-8 (Table 4). Conversely, BRA 00167023-1 failed to produce pollen, and BRA 00167251-8 did not bloom under elevated temperatures; hence, these two genotypes were not included in this analysis.
The heat susceptibility index (HSIpv) is a useful criterion to select heat-tolerant genotypes (Khan et al. 2022). Genotypes with HSIpv < 0.5 were considered as heat-tolerant, those with HSIpv ranging from 0.5–0.99 were considered moderately tolerant, and genotypes with HSIpv > 1.0 were deemed susceptible (Khan et al. 2022). The genotypes categorized as tolerant were BRA00183760-8 (0.06) and BRA 00167017-3 (0.36). BRA 00183755-8 (0.66) was moderately tolerant, while BRA 00167028-0 (1.01), BRA 00167447-2 (1.57), BRA00167420-9 (1.59), and BRA00167007-4 (1.89) were susceptible (Table 4).

Heritability for Pollen Viability

The estimated heritability for pollen viability varied from 58.82% to 90.79%. The lowest H² was observed in BRA00167007-4 (58.82%), while the highest value was observed in BRA 00183755-8 (91.32%), followed by BRA 00167023-1 (90.79%), BRA 00167028-0 (88.56%), BRA 00167017-3 (88.35%), BRA00167420-9 (87.72%), BRA00183760-8 (83.82%), and BRA 00167447-2 (83.16%). Heritability is classified as low (<30%), medium (30–60%), and high (>60%) (Allard 1960; Johnson et al. 1955). High heritability indicates that selection for the trait is effective and is less influenced by environmental effects (Allard 1960; Johnson et al. 1955). Broad-sense heritability becomes particularly intriguing when it applies to situations where the full genetic variability can be harnessed in clones or single-cross hybrids (Bernardo 2010).
A non-significant difference in pollen viability was observed as the temperature increased, indicating that the genotypes maintained their performance under both treatments. Heat stress has been shown to adversely affect or even inhibit pollen viability in various agricultural crops, including corn (Zea mays L.) (Begcy et al. 2019), wheat (Triticum aestivum L.) (Ullah et al. 2022), rice (Oryza sativa L.) (Kumar et al. 2015), tomato (Solanum lycopersicum L.) (Paupière et al. 2017), and wild potatoes (Solanum sect. Petota) (Bamberg 1995). Consistent with our findings, Bamber and colleagues (1995) found that when explodes to elevated temperature stress conditions, certain wild potato genotypes displayed pollen viability rates above 45%. These genotypes included Solanum stoloniferum Schltdl. (cited as S. fendleri A. Gray, 50% for PI 275156, 56% for PI 497998, and 63% for PI 498004), S. stoloniferum Schltdl. (cited as S. polytrichon Rydb., with 49% for PI 255547), S. demissum Lindl. (70% for PI 160208 and 50% for PI 498232) and S. jamesii Torr. (both PI 458425 and PI 195190, each with 45%), S. chacoense (49% for PI 320293), S. commersonii (53% for PI 243503), S. infundibuliforme Phil. (68% for PI 498351), and S. boliviense Dunal (cited as S. megistacrolobum Bitter, with 47% for PI 473133). In our study, except for the genotypes that did not produce pollen and did not bloom under heat stress, S. chacoense (BRA 00167023-1) and S. tuberosum (BRA 00167251-8), respectively, the genotypes of the species S. chacoense (BRA 00167017-3, BRA 00167028-0, BRA 00167447-2), S. commersonii (BRA00167007-4, BRA00183760-8, BRA00167420-9), and S. malmeanum (BRA 00183755-8) exhibited similar pollen viability results to the study by Bamberg and collaborators (1995), with values higher than 54.5%.

Pollen Size

Pollen size was compared using a non-parametric Wilcoxon-Mann-Whitney test. On average, pollen size measured 20 μm across all wild potato genotypes, ranging from 18 to 24 μm in the CT conditions and 16 to 22 μm in the HS conditions. Specifically, pollen size for BRA00167007-4 was 20 μm in the CT conditions and 22 μm in the HS conditions. BRA00167420-9, BRA 00167447-2, BRA 00167017-3, BRA 00167028-0, BRA 00183755-8, BRA00183760-8 exhibited consistent pollen size of 20 μm across both treatments. BRA 00167023-1 produces pollen with a size of 20 μm, while BRA 00167251-8 exhibited pollen with a size of 24 μm in the CT conditions. Notably, these two genotypes failed to produce pollen and did not bloom under the HS treatment (Figure 3).
The temperature elevation did not lead to the production of non-reduced (2n) pollen grains in any of the genotypes assessed in this study. According to Ordoñez et al. (2017), pollen grains are considered diploid if their size increases by 1.2 times compared to normal ones. However, under supraoptimal temperature condition, a 1.1-fold increase in pollen size was observed in BRA 00183755-8 compared to the control temperature condition.
The variations on pollen viability among the tested genotypes present opportunities for selecting desirable genotypes to enhance future potato crop improvement efforts. This variability suggests that promising genotypes can be identified based on their pollen viability trait. However, the phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) for all genotypes under both conditions were moderate. A moderate level of coefficient of variation indicates an equal influence of additive and nonadditive gene action (Allard and Hansche 1964). In this study, the PCV was higher than the GCV, although the differences between the PCV and GCV ranges were minimal, suggesting the limited impact of the environment on trait expression and implying the heritable nature of the traits (Allard and Hansche 1964). Several studies have also reported higher PCV than GCV (Nagalakshmi et al. 2018; Ganesan et al. 2010), indicating significant potential for precise trait selection based on the phenotypic expression (Schoper et al. 1986; Panthee et al. 2018; Hazra and Ansary 2008).
Heritability serves as a valuable metric for assessing the extent of variation within a population (Visscher et al. 2008). In this study, a high heritability was observed for pollen viability. Previous research consistently indicates that high heritability reflects minimal environmental influence on genotype expression (Bamberg 1995; Allard 1964; Petr and Frey 1966). Consequently, the limited environmental impact on the studied trait allowed for a high accuracy of 94% in selecting genotypes under HS conditions (Khan et al. 2022; Olakojo and Olaoye 2011; Aminu and Izge 2012; Azam et al. 2015). This insight into heritability from the current study aids in selecting optimal traits for crop improvement (Khan et al. 2022; Olakojo and Olaoye 2011; Aminu and Izge 2012; Azam et al. 2015).
Furthermore, this study unveiled a high level of heritability for pollen viability trait in potato wild genotypes. However, relying solely on heritability-based trait selection may not consistently yield success, as broad-sense heritability encompasses total genetic variance, including additive, dominant, and epistatic variances (Hill et al. 2008). Thus, estimating heritability alongside with high genetic advance is more reliable and efficient for selecting desirable traits across a population (Nyquist and Baker 1991). Our study identified high heritability coupled with significant genetic gain for the pollen viability, providing valuable information for selecting superior genotypes (Divakara et al. 2010; Kalloo 2012).
The abortion of pollen development observed in BRA 00167023-1 under HS conditions can be attributed to various factors. These include the degradation of membrane integrity, the accumulation of reactive oxygen species (ROS), alterations in carbohydrate metabolism (Liu et al. 2019), disruptions in protein and lipid metabolism (Narayanan et al. 2018), and changes in phospholipid profiles (Djanaguiraman et al. 2018). These factors collectively leads to degeneration and abnormalities in tapetum cells (Cecchetti et al. 2013).
A comprehensive understanding of the mechanisms underlying the response to supraoptimal temperatures during sexual reproduction, coupled with the identification of reproductive traits associated with thermo-tolerance, will enable breeders with more effective tools to develop heat stress-resilient crops and enhance crop productivity (Aiqing et al. 2018; Chaturvedi et al. 2021; Delph et al. 1997; Djanaguiraman et al. 2013; Djanaguiraman et al. 2014; Endo et al. 2009; Jain et al. 2010; Pécrix et al. 2011).
The identification of heat-tolerant wild potato genotypes exhibiting improved pollen viability is a crucial advancement in pre-breeding initiatives aiming at enhancing the potato crop. Heat stress triggers a series of physiological, biochemical, and molecular changes in plants, stimulating the activation of various stress-responsive genes as an adaptative mechanism (Li et al. 2022; Hasanuzzaman et al. 2013). The capacity to produce viable pollen under elevated temperatures, as demonstrated in this investigation, holds considerable significance in understanding heat tolerance and accelerates the subsequent molecular characterization of genes involved in this intricate process.

Conclusions

Pollen viability in wild potato germplasm exhibits genetic variability when cultivated at optimum temperature (control) and high temperature (stress).
The S. chacoense genotypes (BRA 00167017-3) and S. commersonii (BRA 00183760-8) were identified as heat-tolerant based on their pollen viability, highlighting their potential as promising candidates for future improvement studies.
Elevated temperatures did not result in the formation of 2n pollen in the evaluated potato wild genotypes.

Author Contributions

Performed the experiments: Nicolao, R.; Bashir, I. Conceptualization: Nicolao, R. Data curation: Nicolao, R. Formal analysis: Nicolao, R.; Bashir, I. Supervision: Heiden, G.; Castro, C.M. Writing & editing: Nicolao, R.; Bashir, I.; Heiden, G.; Castro, C.M.

Acknowledgments

This work was supported by CAPES/PROAP and EMBRAPA. RN acknowledges the CAPES (88887.622551/2021-00), The International Association for Plant Taxonomy for the IAPT 2022 Research Grants Program and Botanical Society of America for the BSA 2023 Research Grants Program. IB acknowledges CNPq (429368/2016-0) and its partnership with TWAS (TWAS/CNPq 154585/2017-3). GH acknowledges CNPQ (314590/2020-0) for the productivity research fellowship. CC acknowledge USDA Potato Genebank for sending S. chacoense germplasm.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Temperature profiles of the control temperature (represented by the blue line) and supraoptimal temperature (heat stress, represented by the red line).
Figure 1. Temperature profiles of the control temperature (represented by the blue line) and supraoptimal temperature (heat stress, represented by the red line).
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Figure 2. Pollen viability was assessed under an optical microscope using red acetic carmine staining (scale bar = 20 µm). Arrows indicate unviable (uncolored) and viable (colored) pollen grains.
Figure 2. Pollen viability was assessed under an optical microscope using red acetic carmine staining (scale bar = 20 µm). Arrows indicate unviable (uncolored) and viable (colored) pollen grains.
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Figure 3. A non-parametric Wilcoxon-Mann-Whitney test comparing pollen size from each genotype of wild potatoes (Solanum sect. Petota, Solanaceae) from Embrapa Potato Genebank (referred to as local code BGB) under both control (CT; represented by green points) and heat stress (HS; represented by orange points) conditions. Each accession (BGB code) is depicted in the violin plot.
Figure 3. A non-parametric Wilcoxon-Mann-Whitney test comparing pollen size from each genotype of wild potatoes (Solanum sect. Petota, Solanaceae) from Embrapa Potato Genebank (referred to as local code BGB) under both control (CT; represented by green points) and heat stress (HS; represented by orange points) conditions. Each accession (BGB code) is depicted in the violin plot.
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Table 1. Accessions of potato wild species conserved at Embrapa evaluated in this study. The heading information is followed by local code, genesys code, scientific name (species), origin (city, state, country), latitude (Lat), and longitude (Lon) in UTM.
Table 1. Accessions of potato wild species conserved at Embrapa evaluated in this study. The heading information is followed by local code, genesys code, scientific name (species), origin (city, state, country), latitude (Lat), and longitude (Lon) in UTM.
Local code* Genesys code** Species Origin Lat Lon
BGB447 BRA 00183755-8 S. malmeanum Porto Lucena, RS, Brazil -27.856100 -55.016400
BGB100 BRA 00167017-3 S. chacoense Catamarca, Argentina -28.471588 -65.787721
BGB110 BRA 00167028-0 S. chacoense Unknown - -
BGB106 BRA 00167023-1 S. chacoense Unknown - -
BGB095 BRA 00167447-2 S. chacoense Cordoba, Argentina -31.13333 -64.48333
BRSIPR-BEL BRA 00167251-8 S. tuberosum Brazil - -
BGB001 BRA 00167007-4 S. commersonii Ijuí, RS, Brazil -28.388000 -53.915000
BGB453 BRA 00183760-8 S. commersonii Herval, RS, Brazil -32.023600 -53.395600
BGB068 BRA 00167420-9 S. commersonii São Gabriel, RS, Brazil -30.336000 -54.32000
* AleloVegetal, available at < https://av.cenargen.embrapa.br/avconsulta/Passaporte/busca.do >; ** Genesys, available at https://www.genesys-pgr.org/.
Table 2. Analysis of Variance (ANOVA) for pollen viability of wild potatoes (Solanum sect. Petota, Solanaceae) from Embrapa Potato Genebank cultivated under both control (CT) and heat stress conditions (HS).
Table 2. Analysis of Variance (ANOVA) for pollen viability of wild potatoes (Solanum sect. Petota, Solanaceae) from Embrapa Potato Genebank cultivated under both control (CT) and heat stress conditions (HS).
Df Sum Sq Mean Sq F-value Pr (>F)
Block 1 82.3 5 2.450 0.141
Genotype 6 4278.7 4 21.228 0.000*
Temperature 1 869.1 6 25.872 0.000*
Genotype×Temperature 6 340.9 3 1.532 0.200
Residue 13 436.7 2
Total 27 6007.7 1
CV (%) 7.13
The column headers include Block, Genotype, Temperature, Genotype × Temperature interaction, Residue, Total, and Coefficient of Variation (CV %). The row headers include Df: Degree of Freedom, Sum Sq: Sum of Squares, Mean Sq: Mean squares, F distribution, and *Pr(>F): p-value at <0.5%.
Table 3. Genetic Parameter Estimates for Pollen Viability of wild potatoes (Solanum sect. Petota, Solanaceae) from Embrapa Potato Genebank under Control (CT) and Heat Stress (HS) conditions.
Table 3. Genetic Parameter Estimates for Pollen Viability of wild potatoes (Solanum sect. Petota, Solanaceae) from Embrapa Potato Genebank under Control (CT) and Heat Stress (HS) conditions.
Components Pollen Viability
phenotypic variance 210.29
genotypic variance 164.10
residual variance 35.66
genotype × treatment interaction variance 10.54
broad sense heritability (%) 78%
accuracy in genotypic selection 0.96
phenotypic coefficient of variation 17.84
genotypic coefficient of variation 15.76
genetic gain % 28.68
Genetic advance 23.30
General average 81.29
Table 4. Pollen viability (%) of the wild potato genotypes (Solanum sect. Petota, Solanaceae) from Embrapa Potato Genebank under control (CT) and heat stress (HS) conditions.
Table 4. Pollen viability (%) of the wild potato genotypes (Solanum sect. Petota, Solanaceae) from Embrapa Potato Genebank under control (CT) and heat stress (HS) conditions.
Genotype Genesys code Species Temperature treatment HSIpv Score Heritability (h2) %
CT HS
BGB447 BRA 00183755-8 S. malmeanum 100 aA* 91.5 abcA 0.66 Moderately tolerant 91.32
BGB100 BRA 00167017-3 S. chacoense 98.5 aA 94.0 abA 0.36 Tolerant 88.35
BGB110 BRA 00167028-0 S. chacoense 96.0 aA 83.5 abcdA 1.01 Susceptible 88.56
BGB095 BRA 00167447-2 S. chacoense 89.5 abcdA 71.5 bcdeA 1.57 Susceptible 83.16
BGB001 BRA 00167007-4 S. commersonii 86.5 abcdA 65.5 deA 1.89 Susceptible 58.82
BGB453 BRA 00183760-8 S. commersonii 69.0 bA 69.5 bcA 0.06 Tolerant 83.82
BGB068 BRA 00167420-9 S. commersonii 68.5 cdeA 54.5 eA 1.59 Susceptible 87.72
* Significant differences determined by Tukey’s test (P<0.05) are indicated by average values labeled with different letters. These letters are represented in lowercase within the column when comparing genotypes within the same treatment and in upcase letter within the row when comparing genotypes from the two treatments.
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