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. 2020 Nov 19;15(11):e0242522. doi: 10.1371/journal.pone.0242522

Evaluation of coatings for application in raffia big bags in conditioned storage of soybean cultivars in seed processing units

Paulo Carteri Coradi 1,2,3,*, Roney Eloy Lima 2, Charline Zaratin Alves 2, Paulo Eduardo Teodoro 2, Ana Carina da Silva Cândido 2
Editor: C Anandharamakrishnan4
PMCID: PMC7676663  PMID: 33211739

Abstract

Different regions have different environmental conditions, which may be unfavorable for the preservation of the quality of stored soybean seeds over time. Thus, it is necessary to adopt specific technologies to control the storage environment conditions. Big raffia bags are widely used for the storage of soybean seeds, however these consist of a porous, permeable material that allows the exchange of gases between the packaging and the storage environment. In an effort to find a solution to this problem, in this study we evaluated low cost big bag coating alternatives, in order to minimize the effects of temperature and intergranular humidity on stored seeds. Thus, the aim of this work was to evaluate the quality of soybean cultivars subjected to different temperature and storage duration conditions and stored in raffia bags with or without internal coating. We used a completely randomized, three-factor (10 × 6 × 5) experimental design. We assessed 10 soybean cultivars, six storage environments, and five evaluation periods. Our results showed that seeds of the M-SOY 8866, M7110 IPRO, CD 2737 RR, and BMX DESAFIO 8473 RSF soybean cultivars preserved their physiological quality better in different storage environments. The storage duration had a cumulative effect on the negative factors that favor the deterioration of the quality of the stored seeds. The storage temperature was the main factor that affected the physiological quality of the stored seeds. The use of coated packaging was beneficial in preserving the physiological quality of stored soybean seeds; however, its effect was greater at ambient temperature than in a cold environment. The best storage environment for the preservation of the quality of the seeds was characterized by 10°C temperature conditions and the use of coated packaging, while the worst storage environment was characterized by ambient temperature conditions without the use of coated packaging. Thus, it was concluded that the use of coatings in raffia big bags can be an alternative for maintaining the quality of seeds of different soybean cultivars during storage in seed processing units.

1. Introduction

The expansion of soybean cultivation in the world necessitates the improvement of agricultural production processes with the use of precision technologies, which are associated with genetic improvements and seed conservation, thereby creating the need for the production of seeds with better physiological and sanitary qualities [1]. Among other factors, the physiological quality of the seeds depends on production management and the conduct of post-harvest operations [2].

Storage is an important post-harvest stage, the main objective of which is to conserve seed quality by reducing the speed and intensity of the deterioration process as much as possible [25]. When storage conditions are not adequate, soybean seeds suffer viability losses owing to the increased metabolic activity that promotes a reduction in their physiological quality [6,7]. According to Zuchi et al. [8], some soy producing areas are located in regions with tropical climate and high average temperatures, which are considered unfavorable for the preservation of the physiological quality of soybean seeds. Under these conditions, cooling the seeds can contribute to the preservation of stored seed quality.

Artificial cooling is a technique efficient in reducing metabolic activity and, consequently, preserving seed quality in storage [9,10]. This process can take place either during bagging or during the storage period [11]. Mbofung et al. [12] verified the negative effects of ambient temperature on seed deterioration during storage compared to refrigerated environments.

Another factor that interferes with physiological quality is the packaging material used for seed storage. On a commercial scale, soybean seeds are stored and transported from the processing units to rural producers in big, semi-permeable raffia bags. According to Santos et al. [13], the storage of seeds in permeable packaging without water content control facilitates the exchange of humidity with the environment. In turn, this causes an increase in the water content owing to the alteration of the hygroscopic balance of the seeds during storage, which deteriorate more and have reduced vigor and batch viability.

The storage duration of the seeds can intensify their deterioration; one of the techniques employed to minimize this problem is the artificial cooling of the seed mass [14]. Zuchi et al. [8] observed that artificially cooled stored seed lots preserved their physiological quality compared to uncooled stored seeds. According to Ferreira et al. [15], storing seeds at low temperatures reduces their metabolism and the chances of attack by pathogenic microorganisms, thereby preserving the vigor and viability of seed germination.

In view of the unfavorable climatic diversities that occur when it comes to storing soybean seeds in different producing regions, this work aimed to evaluate the effect of temperature and storage duration on the quality and physical and physiological characteristics of different soybean seed cultivars. To this end, we used raffia packaging, which was either coated or not coated with polyethylene material.

2. Material and methods

2.1 Characterization of the experiments

The research work was carried out at the Seed Laboratory of the Federal University of Mato Grosso do Sul (UFMS), Chapadão do Sul Campus (CPCS), in partnership with the Post-Harvest Laboratory (LAPOS) of the Federal University of Santa Maria (UFSM).

We used a completely randomized, three-factor (10 × 6 × 5) experiment experimental design. We assessed 10 soybean cultivars: (CD 2737 RR, BMX FLECHA 6266 RSF, NS 7209 IPRO, BMX FOCO 74I77 RSF IPRO, DM 75I76 RSF IPRO, ST 797 IPRO, BMX CHALLENGE 8473 RSF, BMX BONUS 8579 RSF IPRO, M7110 IPRO, and M-SOY 8866) and six storage environments (ambient temperature in the raffia bag, ambient temperature in the polyethylene coated raffia bag, cooled to 15°C in the raffia bag, cooled to 15°C in the polyethylene coated raffia bag, cooled to 10°C in the raffia bag, and cooled to 10°C in the polyethylene coated raffia bag) at five evaluation time points (0, 3, 6, 9, and 12 months). Every three months, three packages (i.e., three repetitions) of each treatment were sampled to make quality assessments. After this procedure, the packaging was discarded.

The raffia bags were made of 20 cm (wide) x 30 cm (height) x 0.25 cm polypropylene material. The polyethylene coating used to store the seeds in the raffia bags had dimensions of 20 cm (wide) x 30 cm (height) x 0.1 cm (thick of high density) being produced by the company specialized in food packaging (Videplast Company). The polyethylene packages were constituted by partially crystalline and flexible thermoplastic resin material obtained through the ethylene polymerization, having low density, high tenacity, good impact resistance, flexibility, easy processability, electrical properties and stability, and low permeability to water. It is formed by polar organic compounds and can be changed by temperature environment.

To assess the effects of the storage environments on the physical and physiological quality of the soybean seeds, the three conditions (packaging, temperatures conditions, and storage time) were grouped to define the storage environments (Table 1).

Table 1. Experimental design and grouping of storage environments.

Packaging Temperature Storage (°C) Storage time (months) Environments
With coating Ambient (range 20 to 30°C) 0 E1
With coating Ambient (range 20 to 30°C) 3 E2
With coating Ambient (range 20 to 30°C) 6 E3
With coating Ambient (range 20 to 30°C) 9 E4
With coating Ambient (range 20 to 30°C) 12 E5
With coating 15 0 E6
With coating 15 3 E7
With coating 15 6 E8
With coating 15 9 E9
With coating 15 12 E10
With coating 10 0 E11
With coating 10 3 E12
With coating 10 6 E13
With coating 10 9 E14
With coating 10 12 E15
Uncoating Ambient (range 20 to 30°C) 0 E16
Uncoating Ambient (range 20 to 30°C) 3 E17
Uncoating Ambient (range 20 to 30°C) 6 E18
Uncoating Ambient (range 20 to 30°C) 9 E19
Uncoating Ambient (range 20 to 30°C) 12 E20
Uncoating 15 0 E21
Uncoating 15 3 E22
Uncoating 15 6 E23
Uncoating 15 9 E24
Uncoating 15 12 E25
Uncoating 10 0 E26
Uncoating 10 3 E27
Uncoating 10 6 E28
Uncoating 10 9 E29
Uncoating 10 12 E30

The agronomic characteristics of the soybean cultivars are shown in Table 2.

Table 2. Cultivars and their main characteristics.

Cultivars Cycle (days) Maturity group Productivity (bags/hectare)
CD2737RR (1) 127–132 7.3 69.5
BMX FLECHA 6266 RSF IPRO (2) 100–112 6.6 106.3
NS 7209 IPRO (3) 105–115 7.3 81.8
BMX FOCO 74I77 RSF IPRO (4) 108–114 7.2 88
DM 75I76 RSF IPRO (5) 100–113 7.5 90.5
ST 797 IPRO (6) 118–120 7.9 58.3
BMX CHALLENGE 8473 RSF (7) 105–114 7.4 94.7
BMX BÔNUS 8579 RSF IPRO (8) 118–120 7.9 93
M7110 IPRO (9) 102–112 6.2 77
M-SOY 8866 (10) 125–130 8.8 76

2.2 Sampling and quality analysis of soybean seeds

The soybean seeds were obtained from the production fields of a rural property in the municipality of Chapadão do Céu-GO and were cleaned to remove impurities and foreign matter (LC 160 machine, Kepler Weber). Then, they were dried in drying silos with radial airflow (Rome Silos Company). The dryer is built in modulated wooden panels (2.11 m x 0.60 m) with treated boards interspersed with aluminum shutters, fixed by galvanized wire and structured with laminated angle arches, mounted overlapping on a self-draining metallic background. Radial ventilation through central tube and centrifugal fan. The temperature of the seed drying air, up to 12% (w.b.) of water content, was 40°C. Then, the seeds were processed using spiral equipment (brand Rota, model Rota II) and a dissymmetric table (brand Silomax, model SDS-80), in order to standardize their size and weight. The seed lots were stored in raffia bags (polypropylene) in air-conditioned warehouses with temperature control. Nine-kilogram seed samples were collected from the bags containing each cultivar, with the aid of a manual presser (EAGRI Equipments), in order to be stored experimentally in different storage environments.

During the storage period, the temperature of the seed mass was monitored weekly with the aid of a digital thermohygrometer (Novus®, model Logbox-RHT-LCD), and every three months, the seed samples were collected for quality assessment. The water content of the seeds was determined in a forced air circulation oven (220 L, Tecnal Company) at 105°C ± 1°C, for 24 h, with four repetitions. Then, the samples were removed and placed in a desiccator for cooling (5 L, Tecnal Company) and subsequent weighing (Shimadzu, model B13200H), according to the recommendations of the Rule for Seed Analysis [16]. The water content was determined by the mass difference of the initial and the final sample, and the results were expressed as a percentage (w.b.). The apparent specific mass of the seeds was determined with the aid of a 150 mL beaker and a precision scale, using the mass/volume ratio, with four repetitions [16].

The electrical conductivity evaluation was carried out with four sub-samples, each containing 25 seeds per experimental unit, weighed on a precision scale of 0.001 g, and placed in plastic cups with 75 mL of distilled water, and was undertaken in a incubator at 25°C, for 24 h. After imbibition, the electrical conductivity of the immersion solution was obtained with the aid of a digital conductivity meter (Digimed CD-21) and the results were expressed in μS cm-1 g-1 according to the methodology proposed by Brasil [16].

For the germination test, four sub-samples of 50 seeds from each experimental unit were used, distributed in paper towel rolls (Germitest), and moistened with distilled water in an amount that was 2.5 times the dry paper mass. Then, the rolls with the seeds were placed in a germinator (Mangesdorf), set at a temperature of 25°C ± 2°C. The evaluations were carried out on the fifth and eighth days after the test was installed, by counting normal and abnormal seedlings as well as dead seeds, according to the criteria established in the Rules for Seed Analysis [16].

In the tetrazolium test, four sub-samples of 50 seeds from each experimental unit were used. These were pre-moistened on Germitest paper for 16 h at 25°C and then immersed in a 0.075% tetrazolium solution, in which they were kept for 3 h at 35°C in the dark. After this period, the seeds were washed in running water and their vigor, viability, and moisture damage [68] were evaluated according to the methodology established by França-Neto [17].

2.3 Statistical analysis

We used analysis of variance, and the treatments and significant interactions were analyzed by the Scott-Knott average test at 5% probability with SK.nest package of R software. Subsequently, data values (storage time and cultivars) were pooled out and compare for each packaging and temperature storage environments for linear regression analysis. We built two heatmap using an average Euclidean distance. The first to demonstrate the differences between storage environments and the second to demonstrate the differences between soybean cultivars. Principal component analysis was also performed to verify the similarity between storage environments and soybean cultivars with ellipses with confidence interval for groups. These analyzes were performed with R software.

3. Results

3.1 Temperature of stored seed mass

Under ambient conditions, we observed that the temperature of the stored soybean mass increased, and had greater variation than that of the soybean seed mass stored at 10°C and 15°C (Fig 1). For soybean seeds stored at ambient temperature, the average temperature was 26.7°C, the maximum and minimum temperatures were 32°C and 22°C, respectively, and the thermal range was 10°C. In the 15°C storage conditions, the average temperature was 15.25°C, the maximum and minimum temperatures were 17°C and 14°C, respectively, and the thermal range was 3°C. In the 10°C storage conditions, the average temperature was 9.98°C, the maximum and minimum temperatures were 11°C and 9°C, respectively, and the thermal range was 2°C.

Fig 1. Temperature of seed mass in storage environments.

Fig 1

In the analysis of variance (Table 3), it was found that the treatments and interactions were significant at 5% probability, for all seed quality tests.

Table 3. Analysis of variance (Mean Squares) of soybean cultivars in storage environments.

FV TA ME 1ªCG G
A 72.22* 4991.0* 12755.37* 7856.17*
C 1.3* 4153.67* 18609.09* 13677.49*
A x C 0.52* 438.45* 341.87* 274.64*
RES 0.09 363.16 32.44 17.69
CV (%) 2.96 2.78 7.44 4.76
Average 10.36 684.36 76.56 88.41
FV CE VG TZ VB TZ DU TZ
A 36710.43* 9391.36* 4808.68* 5269.43*
C 85227.55* 9717.86* 1685.65* 692.26*
A x C 596.25* 344.23* 157.09* 161.99*
RES 127.63 16.96 7.45 2.61
CV (%) 10.46 5.46 3.02 32.72
Average 108.05 75.43 90.44 4.94

FV—source of variation. A—environments. C—cultivars. RES—residue. CV (%)—coefficient of variation. TA—water content. ME—apparent specific mass. 1st CG—first germination count. G—germination. CE—electrical conductivity. VG TZ—tetrazolium vigor. VB TZ—tetrazolium viability. DU TZ—tetrazolium moisture damage.

*Significant at 5% probability by the F test.

The results of the linear regression analyses (Table 4) of the seed and soybean quality tests showed that the determination coefficients ranged from 60.13% to 98.98%, while the lines behaved similarly and this was indicative of the seed quality throughout the storage period.

Table 4. Regression equations and coefficients of determination.

Analyzes Coatings Environments Equations R2
Water content WC Ambient (range 20 to 30°C) y = -0.3171x + 11.617 88.15
WC 15°C y = -0.8189x + 12.69 92.12
WC 10°C y = -0.557x + 12.252 92.15
UC Ambient (range 20 to 30°C) y = 0.041x + 10.532 78.13
UC 15°C y = -1.1029x + 12.486 85.15
UC 10°C y = -0.4704x + 12.261 78.13
Apparent specific mass WC Ambient (range 20 to 30°C) y = -1.061x + 672.73 60.13
WC 15°C y = -5.4076x + 701.2 69.14
WC 10°C y = -6.0881x + 702.52 71.13
UC Ambient (range 20 to 30°C) y = -7.084x + 707.62 78.16
UC 15°C y = -4.8283x + 697.84 72.68
UC 10°C y = -6.096x + 702.12 75.43
Germination WC Ambient (range 20 to 30°C) y = -9.03x + 108.7 83.32
WC 15°C y = -0.71x + 94.16 86.73
WC 10°C y = 0.03x + 93.85 98.13
UC Ambient (range 20 to 30°C) y = -11.205x + 113.88 82.14
UC 15°C y = -0.08x + 90.41 76.20
UC 10°C y = 0.3x + 93.34 84.54
Electric conductivity WC Ambient (range 20 to 30°C) y = 20.215x + 61.378 90.21
WC 15°C y = 6.1505x + 81.874 78.92
WC 10°C y = 2.8927x + 84.083 88.76
UC Ambient (range 20 to 30°C) y = 31.346x + 38.801 79.54
UC 15°C y = 10.52x + 73.576 88.68
UC 10°C y = 2.6684x + 85.218 92.58
Vigor WC Ambient (range 20 to 30°C) y = -14.065x + 108.37 83.76
WC 15°C y = -1.515x + 85.415 88.74
WC 10°C y = -0.395x + 85.855 91.45
UC Ambient (average at 24°C) y = -16.61x + 114.68 79.42
UC 15°C y = -6.27x + 95.6 88.93
UC 10°C y = -0.41x + 87.2 92.14
Mechanical damage WC Ambient (range 20 to 30°C) y = 0.942x - 0.494 96.45
WC 15°C y = 0.84x - 0.38 93.65
WC 10°C y = 0.64x + 0.18 97.89
UC Ambient (range 20 to 30°C) y = 0.83x - 0.07 91.78
UC 15°C y = 1.51x - 1.63 94.56
UC 10°C y = 0.55x + 0.03 95.67
Damage mechanical vigor test WC Ambient (range 20 to 30°C) y = -9.4x + 95.98 92.35
WC 15°C y = 0.04x + 81.2 93.21
WC 10°C y = 2.04x + 75.36 96.78
UC Ambient (range 20 to 30°C) y = -14.23x + 105.85 97.89
UC 15°C y = -0.96x + 81.86 98.98
UC 10°C y = 2.56x + 71 94.61
Mechanical damage viability test WC Ambient (range 20 to 30°C) y = -6.27x + 104.13 96.54
WC 15°C y = -0.05x + 92.95 96.79
WC 10°C y = 0.35x + 90.87 97.32
UC Ambient (range 20 to 30°C) y = -9.63x + 111.93 98.69
UC 15°C y = 0.46x + 89.06 95.71
UC 10°C y = 0.11x + 93.63 97.48

WC–With coating, UC–Uncoating.

Fig 2 shows the results of the quality analysis of soybean seeds over the storage period.

Fig 2.

Fig 2

Water content (A), Apparent specific mass (B), Germination (C), Electrical conductivity (D), Vigor (E), Mechanical damage (F), Vigor test–tetrazolium (G), Viability test–tetrazolium (H) of soybean seeds stored in different environments over time. WC–With Coating, UC–Uncoated.

3.2 Water content of stored soybean seeds

According to the results shown in Table 5, the average water contents of the seeds varied depending on the different conditions and storage durations. During the storage period, the water contents of the cultivars ranged from 7% (w.b.) to 13% (w.b.). Our results showed that during storage, the relative humidity influenced the water contents of the hygroscopic materials of the seeds stored in the permeable packaging, which allowed greater water vapor exchanges with the environment. The use of coated packaging preserved a greater balance in terms of the exchange of humidity between the seeds and the storage environment.

Table 5. Breakdown of the interaction between storage environments and soybean cultivars for water content (%).

E/Cultivars 1 2 3 4 5 6 7 8 9 10
E1 12.15 aA 11.75 aB 12.10 aA 12.53 aA 11.93 aA 11.77 aB 12.13 aA 12.16 aA 11.04 cC 11.61 aC
E2 10.40 eB 10.79 cA 11.14 cA 10.49 dB 9.85 eC 10.15 dC 10.40 cB 9.76 eC 10.56 cB 10.04 cC
E3 10.61 dA 10.28 cA 9.50 eB 10.60 dA 10.75 cA 10.60 cA 10.61 cA 10.86 cA 10.84 cA 10.32 bA
E4 9.70 fB 10.12 cA 10.05 dB 9.96 eB 10.23 dA 10.63 cA 10.45 cA 10.25 dA 9.68 eB 9.84 cB
E5 10.61 dA 10.32 cB 10.15 dB 10.51 dA 10.57 cA 10.30 dB 10.17 dB 10.56 dA 10.75 cA 10.71 bA
E6 12.15 aA 11.75 aB 12.10 aA 12.53 aA 11.93 aA 11.77 aB 12.13 aA 12.16 aA 11.04 cC 11.61 aB
E7 11.13 cA 11.47 bA 11.30 bA 11.43 bA 10.51 cB 11.48 bA 10.19 dC 11.56 bA 11.07 cA 10.82 bB
E8 10.53 dB 10.48 cB 10.59 dB 8.53 hC 11.25 bA 10.66 cB 10.39 cB 10.47 dB 10.73 cB 10.11 cB
E9 8.84 gA 8.81 eA 8.63 bA 8.97 gA 8.92 fA 8.70 fA 8.79 fA 8.67 fA 9.07 fA 8.79 eA
E10 8.91 gB 9.10 eA 8.83 bB 9.26 fA 8.82 fB 9.11 fA 8.76 fB 8.72 fB 8.90 fB 9.20 dA
E11 12.15 aA 11.75 aB 12.10 aA 12.53 aA 11.93 aA 11.77 aB 12.13 aA 12.16 aA 11.04 cC 11.61 aB
E12 10.76 dB 11.10 bA 11.16 cA 10.51 dB 11.37 bA 11.48 bA 11.26 bA 11.41 bA 10.73 cB 10.64 bB
E13 10.27 eC 10.57 cB 10.24 dC 11.04 cA 10.49 cB 10.78 cA 10.47 cB 11.31 bA 10.06 dC 10.67 bB
E14 9.41 fA 9.49 dA 9.48 eA 9.70 eA 9.54 eA 9.49 eA 9.37 eA 9.67 eA 8.45 gB 9.42 dA
E15 10.16 eA 9.84 dB 10.26 dA 9.98 eA 9.81 eB 10.18 dA 9.61 eB 10.03 dA 9.83 eB 9.82 cB
E16 12.15 aA 11.75 aB 12.10 aA 12.53 aA 11.93 aA 11.77 aB 12.13 aA 12.16 aA 11.04 cC 11.61 aB
E17 8.82 gA 9.06 eA 7.70 gD 8.09 hC 8.16 gC 8.06 gC 7.33 hD 8.12 gC 8.51 gB 8.16 fC
E18 10.26 eC 11.43 Bb 10.93 cB 11.47 bB 11.22 bB 11.30 bB 10.24 dC 11.84 bA 11.43 bB 11.71 aA
E19 10.77 dD 11.48 bC 11.72 bB 11.55 bB 11.59 bB 12.11 aA 11.89 aA 11.56 bB 11.05 cD 11.31 aC
E20 10.64 dA 10.63 cA 10.24 dB 10.45 dA 10.58 cA 10.05 dB 9.97 dB 10.57 dA 10.92 cA 10.66 bA
E21 12.15 aA 11.75 aB 12.10 aA 12.53 aA 11.93 aA 11.77 aB 12.13 aA 12.16 aA 11.04 cC 11.61 aB
E22 10.06 eB 10.53 cA 10.49 dB 10.15 dB 10.11 dB 10.74 cA 10.23 dB 10.33 dB 10.26 dB 10.38 bB
E23 8.04 hB 8.63 eA 8.85 bA 8.41 hA 8.02 gB 8.88 fA 7.87 gB 8.25 gB 8.46 gA 8.19 fB
E24 7.00 jB 7.40 gB 7.53 gB 7.39 iB 7.32 hB 7.92 gA 8.00 gA 7.26 hB 7.37 hB 7.12 gB
E25 7.49 iA 7.93 fA 7.53 gA 7.50 iA 7.00 hB 7.49 hA 7.09 hB 7.19 hB 7.33 hB 11.61 aA
E26 12.15 aA 11.75 aB 12.10 aA 12.53 aA 11.93 aA 11.77 aB 12.13 aA 12.16 aA 11.04 cC 7.47 gB
E27 11.42 bB 12.05 aA 12.00 aA 12.24 aA 11.73 aB 11.65 aB 11.45 bB 11.09 cC 12.02 aA 11.94 aA
E28 11.06 cB 11.50 bA 11.03 cB 11.59 bA 11.54 bA 10.79 cB 10.73 cB 11.34 bA 11.49 bA 10.67 bB
E29 9.57 fA 9.81 dA 9.56 eA 9.45 fA 9.65 eA 9.53 eA 9.29 eA 9.54 eA 9.74 eA 9.55 dA
E30 10.32 eA 10.51 cA 10.06 dA 10.26 dA 10.29 dA 10.23 dA 9.92 dA 10.32 dA 10.23 dA 10.32 bA

Environments (E) according to the schema proposed by Table 1. Cultivars: CD 2737 RR (1), BMX FLECHA 6266 RSF (2), NS 7209 IPRO (3), BMX FOCO 74I77 RSF IPRO (4), DM 75I76 RSF IPRO (5), ST 797 IPRO (6), BMX CHALLENGE 8473 RSF (7), BMX BONUS 8579 RSF IPRO (8), M7110 IPRO (9) and M-SOY 8866 (10). The averages followed by the same lower case letters in the column and upper case letters in the row did not differ statistically at 5% probability by the Scott Knott test. The averages followed by the different lowercase letters in the column and uppercase letters in the row differed statistically at 5% probability by the Scott Knott test.

The increase in the storage duration reduced the water content of the seeds, regardless of packaging or storage temperatures (Fig 2A). The results obtained indicated that coated packaging had a beneficial effect on seed quality, as it allowed for better conservation of the water contents and low heat and mass transfers between the atmospheric air and the seeds in the storage environments. After nine months of storage, the soybean seeds stored at 10°C reached a hygroscopic balance with water levels similar to those of the initial storage conditions. The same pattern was observed in 15°C storage environments. However, in ambient temperature environments, the seeds reached a hygroscopic balance with water contents lower than those achieved in the 15°C and 10°C environment. The air-conditioned environment stabilized the water content of the seeds during storage.

3.3 Apparent specific mass of stored soybean seeds

A reduction was observed in the apparent specific mass of the seeds (Table 6), regardless of the storage environment. However, there was no significant difference among the different storage environments in terms of the apparent specific mass (kg m-3) of the cultivars. Seeds stored in coated packaging and at ambient temperature had the lowest apparent density values, which remained constant over time (Fig 2B).

Table 6. Breakdown of the interaction between storage environments and soybean cultivars for the apparent specific mass (kg m-3).

E/Cultivars 1 2 3 4 5 6 7 8 9 10
E1 698.2 aA 701.4 aA 703.9 aA 685.2 aA 710.3 aA 703.6 aA 704.8 aA 704.9 aA 701.3 aA 724.9 aA
E2 692.5 aA 678.4 bB 689.3 aB 685.0 aB 682.6 bB 676.1 bB 668.0 bB 700.8 aA 704.0 aA 713.0 aA
E3 676.7 aA 676.7 bA 682.3 bA 673.4 aA 674.1 bA 677.8 bA 684.0 bA 682.0 bA 687.7 aA 703.4 bA
E4 690.9 aA 535.6 cB 677.8 bA 671.3 aA 674.5 bA 687.0 bA 687.2 bA 682.8 bA 683.9 aA 689.3 bA
E5 681.8 aA 672.7 bA 662.1 bA 669.2 aA 666.2 bA 670.1 bA 672.2 bA 680.1 bA 688.6 aA 680.7 bA
E6 698.2 aA 701.4 aA 703.9 aA 685.2 aA 710.3 aA 703.6 aA 704.8 aA 704.9 aA 701.3 aA 724.9 aA
E7 683.4 aA 668.9 bA 674.7 bA 664.9 aA 680.6 bA 678.6 bA 671.9 bA 689.5 aA 686.2 aA 694.9 bA
E8 689.4 aA 683.0 bA 676.8 bA 674.4 aA 672.2 bA 664.7 bA 684.2 bA 690.0 aA 703.0 aA 702.0 bA
E9 676.1 aA 682.9 bA 675.0 bA 678.7 aA 675.1 bA 684.2 bA 681.6 bA 684.1 bA 689.3 aA 696.3 bA
E10 674.7 aA 679.0 bA 677.7 bA 669.2 aA 675.8 bA 670.7 bA 671.2 bA 678.1 bA 677.4 aA 679.8 bA
E11 698.2 aA 701.4 aA 703.9 aA 685.2 aA 710.3 aA 703.6 aA 704.8 aA 704.9 aA 701.3 aA 724.9 aA
E12 682.7 aA 672.6 bA 674.6 bA 670.4 aA 684.0 bA 680.6 bA 688.6 bA 672.2 bA 680.8 aA 687.9 bA
E13 692.9 aA 680.0 bA 677.8 bA 679.8 aA 678.7 bA 682.0 bA 670.6 bA 699.2 aA 694.8 aA 701.1 bA
E14 678.0 aA 672.4 bA 674.9 bA 669.6 aA 670.0 bA 684.2 bA 686.7 bA 679.3 bA 678.4 aA 690.1 bA
E15 674.2 aA 670.1 bA 670.8 bA 671.4 aA 671.8 bA 668.9 bA 674.6 bA 677.5 bA 677.7 aA 682.7 bA
E16 698.2 aA 701.4 aA 703.9 aA 685.2 aA 710.3 aA 703.6 aA 704.8 aA 704.9 aA 701.3 aA 724.9 aA
E17 692.4 aA 696.1 aA 688.8 aA 683.4 aA 685.6 bA 685.5 bA 683.5 bA 679.5 bA 687.6 aA 699.6 bA
E18 693.7 aA 686.5 aA 679.1 bA 674.1 aA 683.1 bA 666.8 bA 678.9 bA 693.8 aA 694.8 aA 680.9 bA
E19 681.7 aA 691.8 aA 693.2 aA 684.2 aA 679.7 bA 688.2 bA 684.2 bA 694.4 aA 683.5 aA 700.3 bA
E20 674.4 aA 664.6 bA 662.9 bA 656.4 aA 655.4 bA 670.4 bA 670.8 bA 672.6 bA 680.4 aA 677.0 bA
E21 698.2 aA 701.4 aA 703.9 aA 685.2 aA 710.3 aA 703.6 aA 704.8 aA 704.9 aA 701.3 aA 724.9 aA
E22 685.5 aA 672.6 bA 672.0 bA 666.3 aA 675.8 bA 668.4 bA 671.0 bA 671.4 bA 679.9 aA 677.3 bA
E23 676.9 aA 689.7 aA 681.0 bA 668.7 aA 678.0 bA 677.4 bA 681.6 bA 691.5 aA 685.6 aA 693.2 bA
E24 674.5 aA 687.9 aA 673.9 bA 683.7 aA 678.9 bA 679.7 bA 675.5 bA 677.9 bA 680.1 aA 684.1 bA
E25 680.7 aA 680.4 bA 673.7 bA 671.7 aA 672.9 bA 673.3 bA 672.3 bA 677.1 bA 680.7 aA 686.6 bA
E26 698.2 aA 701.4 aA 703.9 aA 685.2 aA 710.3 aA 703.6 aA 704.8 aA 704.9 aA 701.3 aA 724.9 aA
E27 687.1 aA 669.8 bA 667.7 bA 672.2 aA 668.8 bA 675.5 bA 679.1 bA 688.9 aA 686.1 aA 690.9 bA
E28 690.5 aA 688.8 aA 686.1 bA 673.7 aA 693.5 aA 686.9 bA 689.2 bA 667.7 bA 684.4 aA 693.1 bA
E29 675.4 aA 686.6 aA 672.4 bA 676.3 aA 675.0 bA 678.5 bA 674.6 bA 678.5 bA 675.6 aA 679.4 bA
E30 677.8 aA 673.7 bA 670.9 bA 667.7 aA 669.5 bA 672.1 bA 674.7 bA 674.3 bA 675.8 aA 684.2 bA

Environments (E) according to the schema proposed by Table 1. Cultivars: CD 2737 RR (1), BMX FLECHA 6266 RSF (2), NS 7209 IPRO (3), BMX FOCO 74I77 RSF IPRO (4), DM 75I76 RSF IPRO (5), ST 797 IPRO (6), BMX CHALLENGE 8473 RSF (7), BMX BONUS 8579 RSF IPRO (8), M7110 IPRO (9) and M-SOY 8866 (10). The averages followed by the same lower case letters in the column and upper case letters in the row did not differ statistically at 5% probability by the Scott Knott test. The averages followed by the different lowercase letters in the column and uppercase letters in the row differed statistically at 5% probability by the Scott Knott test.

3.4 Germination of stored soybean seeds

As is shown in Table 7, the germination percentages of seeds stored in uncoated packaging were reduced, mainly at ambient temperature storage conditions. Similar results were obtained for seeds stored at 10°C and 15°C temperatures, for up to six months. After the six-month period, the seeds stored at 10°C, both in coated and uncoated packaging, had better germination quality than the seeds stored at 15°C. The worst seed germination results were obtained after nine months of storage (Fig 2C). Coated packaging was efficient in preserving the quality of the stored seeds, as it reduced the effects of temperature and humidity variations. Among the cultivars, NS 7209 IPRO had the lowest germination percentage over the storage period.

Table 7. Breakdown of the interaction between storage environments and soybean cultivars for germination (%).

E/Cultivars 1 2 3 4 5 6 7 8 9 10
E1 100 aA 99 aA 64 cC 90 bB 94 aB 99 aA 99 aA 92 bB 99 aA 96 aA
E2 99 aA 96 aA 80 aB 94 aA 94 aA 100 aA 95 aA 98 aA 97 aA 97 aA
E3 93 aA 91 aA 41 fC 86 bB 81 bB 93 bA 98 aA 85 cB 96 aA 92 bA
E4 97 aA 86 bB 38 fE 86 bB 76 bC 99 aA 98 aA 78 dC 66 bD 75 dC
E5 69 bB 34 dD 20 hE 66 dB 50 dC 92 bA 92 aA 67 eB 17 cE 49 fC
E6 100 aA 99 aA 64 cC 90 bB 94 aB 99 aA 99 aA 92 bB 99 aA 96 aA
E7 99 aA 100 aA 61 cC 90 bB 87 aB 99 aA 96 aA 99 aA 97 aA 93 aB
E8 100 aA 99 aA 75 bD 98 aA 98 aA 87 bC 100 aA 93 bB 98 aA 93 aB
E9 99 aA 98 aA 57 dC 93 aB 93 aB 98 aA 100 aA 96 aA 99 aA 91 bB
E10 99 aA 96 aA 48 eD 95 aA 89 aB 100 aA 98 aA 91 bB 97 aA 82 cC
E11 100 aA 99 aA 64 cC 90 bB 94 aB 99 aA 99 aA 92 bB 99 aA 96 aA
E12 97 aA 99 aA 83 aB 92 bA 91 aA 95 bA 97 aA 96 aA 97 aA 94 aA
E13 99 aA 100 aA 78 bB 96 aA 99 aA 99 aA 100 aA 98 aA 99 aA 97 aA
E14 99 aA 97 aA 56 dB 97 aA 97 aA 100 aA 100 aA 98 aA 99 aA 96 aA
E15 94 aB 96 aA 73 bC 88 bB 93 aB 99 aA 98 aA 98 aA 100 aA 96 aA
E16 100 aA 99 aA 64 cC 90 bB 94 aB 99 aA 99 aA 92 bB 99 aA 96 aA
E17 99 aA 99 aA 60 cB 97 aA 96 aA 100 aA 98 aA 98 aA 95 aA 98 aA
E18 99 aA 96 aB 69 cC 93 aB 92 aB 99 aA 99 aA 99 aA 95 aB 99 aA
E19 93 aA 75 cC 29 gG 49 eF 69 cD 93 bA 97 aA 83 cB 61 bE 95 aA
E20 69 bB 7 eE 0 if 10 fE 13 eE 37 cD 77 bA 4 fF 1 dF 62 eC
E21 100 aA 99 aA 64 cC 90 bB 94 aB 99 aA 99 aA 92 bB 99 aA 96 aA
E22 98 aA 97 aA 81 aC 90 bB 93 aB 100 aA 94 aB 99 aA 99 aA 95 aB
E23 97 aA 98 aA 62 cC 95 aA 89 aB 100 aA 99 aA 95 aA 95 aA 96 aA
E24 98 aA 95 aA 60 cB 97 aA 93 aA 99 aA 99 aA 94 bA 95 aA 91 bA
E25 97 aA 95 aA 53 dC 88 bB 92 aB 98 aA 99 aA 92 bB 90 aB 87 cB
E26 100 aA 99 aA 64 cC 90 bB 94 aB 99 aA 99 aA 92 bB 99 aA 96 aA
E27 100 aA 100 aA 87 aB 79 cC 93 aA 100 aA 97 aA 97 aA 94 aA 96 aA
E28 100 aA 99 aA 73 bC 99 aA 97 aA 99 aA 100 aA 99 aA 97 aA 99 aA
E29 99 aA 96 aA 62 cB 99 aA 95 aA 99 aA 99 aA 94 bA 99 aA 97 aA
E30 98 aA 98 aA 75 bB 95 aA 93 aA 99 aA 100 aA 96 aA 98 aA 98 aA

Environments (E) according to the schema proposed by Table 1. Cultivars: CD 2737 RR (1), BMX FLECHA 6266 RSF (2), NS 7209 IPRO (3), BMX FOCO 74I77 RSF IPRO (4), DM 75I76 RSF IPRO (5), ST 797 IPRO (6), BMX CHALLENGE 8473 RSF (7), BMX BONUS 8579 RSF IPRO (8), M7110 IPRO (9) and M-SOY 8866 (10). The averages followed by the same lower case letters in the column and upper case letters in the row did not differ statistically at 5% probability by the Scott Knott test. The averages followed by the different lowercase letters in the column and uppercase letters in the row differed statistically at 5% probability by the Scott Knott test.

3.5 Electrical conductivity test on stored soybean seeds

The electrical conductivity results are shown in Table 8. Higher electrical conductivity values and, consequently, greater deterioration were obtained in soybean seeds stored in ambient temperature environments, when compared to the 10°C and 15°C environments (Table 7). Refrigerated environments reduced the deterioration of soybean seeds during the storage period (Fig 2D). Soybean seeds stored in uncoated packaging had the highest electrical conductivity values compared to seeds belonging to the same cultivar and stored under the same temperature in coated packaging and duration, thereby demonstrating the benefit of the latter packaging type in preserving seed quality. The 10°C environment helped preserve soybean seed quality better, and resulted in a solute leaching increase only after six months of storage, with emphasis on the NS 7209 IPRO and M-SOY 8866 cultivars.

Table 8. Breakdown of the interaction between storage environments and soybean cultivars for electrical conductivity (μS cm-1 of sample).

E/Cultivars 1 2 3 4 5 6 7 8 9 10
E1 82.5 dC 81.2 eC 145.5 gA 79.0 eC 90.6 fC 87.3 dC 73.2 cC 83.6 fC 89.1 fC 107.7 dB
E2 76.9 dC 84.3 eC 153.6 gA 83.5 eC 89.6 fC 76.2 dC 75.9 cC 112.5 dB 120.8 eB 114.6 cB
E3 84.8 dD 98.1 dC 189.3 eA 96.1 eC 105.3 eC 91.6 dD 80.9 cD 104.8 dC 128.5 dB 104.8 dC
E4 97.4 cD 131.2 cC 238.5 cA 127.2 cC 152.2 cB 106.8 cD 98.5 bD 131.2 cC 161.7 cB 125.4 cC
E5 116.4 bF 184.2 bC 281.4 bA 182.4 bC 191.9 bC 134.2 bE 111.6 bF 172.7 bC 207.9 bB 156.8 bD
E6 82.5 dC 81.2 eC 145.5 gA 79.0 eC 90.6 fC 87.3 dC 73.2 cC 83.6 fC 89.1 fC 107.7 dB
E7 72.0 dC 74.7 eC 136.9 hA 77.6 eC 79.6 fC 76.8 dC 65.5 cC 81.5 fC 92.3 fB 95.4 dB
E8 87.9 dC 99.6 dC 167.3 fA 92.4 eC 108.6 eB 93.7 dC 83.9 cC 93.4 eC 115.6 eB 121.6 cB
E9 81.4 dC 99.3 dC 164.1 fA 99.8 eC 105.7 eC 86.9 dD 80.9 cD 97.8 eC 116.4 eB 122.4 cB
E10 80.6 dC 100.5 dD 190.2 eA 110.2 dC 109.1 eC 94.7 dD 87.1 cD 106.6 dC 129.9 dB 117.1 cC
E11 82.5 dC 81.2 eC 145.5 gA 79.0 eC 90.6 fC 87.3 dC 73.2 cC 83.6 fC 89.1 fC 107.7 dB
E12 63.8 dC 71.2 eC 132.5 hA 76.8 eC 89.4 fB 69.4 dC 72.7 cC 74.7 fC 94.8 fB 88.9 dB
E13 86.8 dC 88.3 eC 167.7 fA 90.8 eC 100.6 eB 86.3 dC 79.1 cC 94.8 eC 108.4 eB 106.7 dB
E14 76.8 dC 87.2 eC 160.0 fA 85.4 eC 103.3 eB 82.9 dC 76.5 cC 93.9 eC 106.5 eB 112.1 dB
E15 79.6 dC 89.7 eC 166.9 fA 86.4 eC 101.3 eB 87.5 dC 80.3 cC 88.7 eC 101.8 fB 107.1 dB
E16 82.5 dC 81.2 eC 145.5 gA 79.0 eC 90.6 fC 87.3 dC 73.2 cC 83.6 fC 89.1 fC 107.7 dB
E17 81.5 dC 91.1 eC 182.1 eA 92.9 eC 102.7 eB 77.3 dC 82.1 cC 103.9 dB 118.3 eB 107.7 dB
E18 78.2 dC 79.9 eC 178.3 eA 82.4 eC 105.9 eB 82.3 dC 75.5 cC 93.1 eC 114.3 eB 102.1 db
E19 97.1 cD 105.2 dD 239.7 cA 123.2 cC 139.1 dC 119.0 bC 95.5 bD 130.5 cC 193.4 bB 125.3 cC
E20 193.0 aD 258.6 aB 313.5 aA 220.7 aC 246.3 aB 223.4 aC 160.2 aE 214.0 aC 303.5 aA 189.5 aD
E21 82.5 dC 81.2 eC 145.5 gA 79.0 eC 90.6 fC 87.3 dC 73.2 cC 83.6 fC 89.1 fC 107.7 dB
E22 72.3 dC 78.8 eC 148.6 gA 77.7 eC 81.6 fC 82.2 dC 68.6 cC 73.4 fC 95.6 fB 104.3 dB
E23 74.2 dC 88.9 eC 157.3 gA 89.6 eC 104.9 eB 85.7 dC 82.6 cC 90.8 eC 100.5 fB 112.0 dB
E24 88.6 dE 93.5 dE 190.8 eA 105.1 dD 113.2 eD 94.1 dE 87.6 cE 106.5 dD 155.6 cB 125.6 cC
E25 100.5 cD 105.1 dD 215.9 dA 126.3 cC 131.2 dC 102.9 cD 99.5 bD 123.9 cC 151.6 cB 150.1 bB
E26 82.5 dC 81.2 eC 145.5 gA 79.0 eC 90.6 fC 87.3 dC 73.2 cC 83.6 fC 89.1 fC 107.7 dB
E27 69.4 dD 72.0 eD 126.6 hA 78.0 eC 83.9 fC 70.1 dD 66.7 cD 72.3 fD 88.5 fC 97.9 dB
E28 72.9 dC 79.8 eC 155.0 gA 82.7 eC 106.9 eB 82.9 dC 80.9 cC 79.6 fC 109.9 eB 117.6 cB
E29 75.8 dC 79.0 eC 164.4 fA 85.8 eC 86.8 fC 80.1 dC 75.8 cC 88.5 eC 118.6 eB 109.2 dB
E30 74.6 dC 81.0 eC 163.6 fA 87.9 eC 104.0 eB 89.9 dC 81.5 cC 91.5 eC 94.5 fC 115.2 cB

Environments (E) according to the schema proposed by Table 1. Cultivars: CD 2737 RR (1), BMX FLECHA 6266 RSF (2), NS 7209 IPRO (3), BMX FOCO 74I77 RSF IPRO (4), DM 75I76 RSF IPRO (5), ST 797 IPRO (6), BMX CHALLENGE 8473 RSF (7), BMX BONUS 8579 RSF IPRO (8), M7110 IPRO (9) and M-SOY 8866 (10). The averages followed by the same lower case letters in the column and upper case letters in the row did not differ statistically at 5% probability by the Scott Knott test. The averages followed by the different lowercase letters in the column and uppercase letters in the row differed statistically at 5% probability by the Scott Knott test.

3.6 First germination count (vigor) of stored soybean seeds

The first germination count of soybean seeds was better in the 15°C and 10°C storage environments than in the ambient temperature environments. These results were similar to those obtained from the electrical conductivity and germination assessments, which were favorable in the 15°C and 10°C storage environments and with the use of coated packaging (Table 9). Over the storage period, we observed reductions in the percentage of the first count of germinated seeds, with greater emphasis on storage at ambient temperature (Fig 2E).

Table 9. Breakdown of the interaction between storage environments and soybean cultivars for the 1st germination count (%).

E/Cultivars 1 2 3 4 5 6 7 8 9 10
E1 99 aA 95 aA 50 cC 84 bB 87 aB 94 aA 97 aA 84 bB 93 aA 95 aA
E2 97 aA 89 bB 76 aC 93 aB 83 aC 98 aA 88 bB 97aA 90 aB 95 aA
E3 72 cB 56 dC 18 fE 45 fD 49 dD 67 cB 88 bA 43 eD 48 dD 66 cB
E4 97 aA 85 bB 38 dE 86 bB 56 cC 99 aA 97 aA 47 eD 53 dC 56 dC
E5 47 dB 14 eD 11 fD 23 gC 18 eC 50 dB 58 dA 12 fD 10 fD 26 fC
E6 99 aA 95 aA 50 cC 84 bB 87 aB 94 aA 97 aA 84 bB 93 aA 95 aA
E7 96 aA 98 aA 48 cF 63 dE 62 cE 99 aA 72 cD 88 aB 82 bC 77 bC
E8 95 aA 69 cC 44 cD 78 cB 88 aA 73 cC 94 aA 69 cC 79 bB 77 bB
E9 98 aA 97 aA 50 cC 86 bB 82 aB 97 aA 97 aA 91 aB 86 aB 85 bB
E10 95 aA 83 bB 39 dE 73 cC 67 bD 90 aA 82 bB 78 cC 86 aB 66 cD
E11 99 aA 95 aA 50 cC 84 bB 87 aB 94 aA 97 aA 84 bB 93 aA 95 aA
E12 89 bA 97 aA 73 aC 86 bB 51 dD 85 bB 93 aA 83 bB 88 aA 94 aA
E13 92 aA 88 bA 56 cC 80 bB 84 aB 84 bB 89 bA 79 bB 76 bB 83 bB
E14 99 aA 94 aB 48 cC 91 aB 90 aB 99 aA 93 aB 91 aB 90 aB 89 aB
E15 87 bB 88 bB 58 cD 69 dC 82 aB 97 aA 86 bB 92 aA 85 aB 91 aA
E16 99 aA 95 aA 50 cC 84 bB 87 aB 94 aA 97 aA 84 bB 93 aA 95 aA
E17 98 aA 95 aA 44 cC 96 aA 90 aA 96 aA 95 aA 92 aA 81 bB 93 aA
E18 79 cB 71 cB 38 dD 58 eC 61 cC 71 cB 86 bA 73 cB 57 cC 90 aA
E19 85 bA 63 dC 28 eF 40 fE 60 cC 83 bA 88 bA 74 cB 49 dD 87 bA
E20 30 eC 0 fD 0 gD 4 hD 4 fD 11 eD 60 dA 1 gD 0 gD 47 eB
E21 99 aA 95 aA 50 cC 84 bB 87 aB 94 aA 97 aA 84 bB 93 aA 95 aA
E22 97 aA 91 aB 75 aC 70 dC 86 aB 98 aA 90 bB 95 aA 93 aB 90 aB
E23 90 bA 74 cB 32 eE 50 eD 64 cC 85 bA 88 bA 50 eD 62 cC 78 bB
E24 93 aA 83 bB 49 cC 76 cB 82 aB 95 aA 95 aA 80 bB 85 aB 82 bB
E25 55 dC 57 dC 34 eD 54 eC 75 bB 85 bA 92 aA 56 dC 29 eD 59 cC
E26 99 aA 95 aA 50 cC 84 bB 87 aB 94 aA 97 aA 84 bB 93 aA 95 aA
E27 98 aA 100 aA 82 aB 64 dC 87 aB 97 aA 90 bB 93 aA 89 aB 96 aA
E28 90 bA 85 bA 49 cD 68 dC 80 aB 90 aA 88 bA 76 cB 74 bB 82 bB
E29 98 aA 95 aA 54 cB 95 aA 89 aA 97 aA 96 aA 90 aA 91 aA 94 aA
E30 89 bA 84 bB 63 bC 82 bB 88 aA 97 aA 94 aA 79 bB 90 aA 91 aA

Environments (E) according to the schema proposed by Table 1. Cultivars: CD 2737 RR (1), BMX FLECHA 6266 RSF (2), NS 7209 IPRO (3), BMX FOCO 74I77 RSF IPRO (4), DM 75I76 RSF IPRO (5), ST 797 IPRO (6), BMX CHALLENGE 8473 RSF (7), BMX BONUS 8579 RSF IPRO (8), M7110 IPRO (9) and M-SOY 8866 (10). The averages followed by the same lower case letters in the column and upper case letters in the row did not differ statistically at 5% probability by the Scott Knott test. The averages followed by the different lowercase letters in the column and uppercase letters in the row differed statistically at 5% probability by the Scott Knott test.

3.7 Mechanical damage from moisture in stored soybean seeds

The tetrazolium test is based on the activity of the dehydrogenase enzymes, particularly malic acid dehydrogenase, which reduces the 2,3,5 triphenyl tetrazolium chloride salt in the living tissue of the seed, where hydrogen ions are transferred to the said salt. When the seed is immersed in the tetrazolium solution, it diffuses through the tissues, occurring in the living cells, the reduction reaction, resulting in the formation of a red, non-diffusible compound, known as triphenylformazan, indicating that there is respiratory activity in the mitochondria and, consequently, that the tissue is viable (alive). Dead tissues (not viable) do not react with the solution preserving its natural color.

Moisture damage caused by the tetrazolium test was related to the death of soybean seeds and the consequent loss of viability, which were greater at nine months of storage at ambient temperature compared to the other storage duration and packaging conditions applied to the same cultivar. During the storage period, the moisture damage percentage of the soybean cultivars increased (Table 10). Storage at ambient temperature and in uncoated packaging resulted in the greatest moisture and heat exchange between the seed mass and the intergranular storage air over time, thereby intensifying seed deterioration.

Table 10. Breakdown of the interaction between storage environments and soybean cultivars on moisture damage (%) obtained by analyzing the tetrazolium test.

E/Cultivars 1 2 3 4 5 6 7 8 9 10
E1 3 cA 3 eA 5 gH 0 hB 2 dB 1 eB 2 cB 1 eB 2 eB 0 dB
E2 2 cA 0 fA 0 hA 0 hA 0 eA 0 eA 0 dA 1 eA 0 fA 0 dA
E3 0 dA 2 eA 1 hA 0 hA 0 eA 0 eA 2 cA 0 eA 0 fA 0 dA
E4 12 bB 15 cA 7 fC 0 hD 0 eD 0 eD 0 dD 2 eD 7 cC 1 dD
E5 10 bG 35 bC 56 bB 65 aA 35 bC 18 bE 15 bF 54 bB 34 bC 24 aD
E6 3 cA 3 eA 5 gA 0 hB 2 dB 1 eB 2 cB 1 eB 2 eB 0 dB
E7 0 dA 0 fA 1 hA 1 hA 2 dA 1 eA 0 dA 1 eA 0 fA 1 dA
E8 0 dB 1 fB 4 gA 1 hB 1 eB 2 eA 0 dB 2 eA 0 fB 1 dB
E9 0 dB 0 fB 5 gA 0 hB 2 dB 0 eB 0 dB 1 eB 0 fB 1 dB
E10 3 cD 6 dC 9 eB 14 dA 0 eE 6 cC 2 cD 12 cA 4 dC 4 cC
E11 3 cA 3 eA 5 gA 0 hB 2 dB 1 eB 2 cB 1 eB 2 eB 0 dB
E12 0 dB 0 fB 4 gA 1 hB 1 eB 0 eB 0 dB 0 eB 0 fB 0 dB
E13 1 dB 0 fB 1 hB 3 gA 1 eB 0 eB 0 dB 3 eA 0 fB 5 cA
E14 0 dC 1 fC 14 dA 4 gB 1 eC 1 eC 1 cC 2 eC 0 fC 0 dC
E15 1 dE 0 fE 19 cA 8 eB 5 dC 3 dC 0 dE 2 eD 1 eE 3 cD
E16 3 cA 3 eA 5 gA 0 hB 2 dB 1 eB 2 cB 1 eB 2 eB 0 dB
E17 0 dB 0 fB 0 hB 5 fA 0 eB 0 eB 0 dB 5 dA 1 eB 0 dB
E18 0 dB 1 fB 5 gA 2 gB 0 eB 1 eB 0 dB 3 eA 2 eB 1 dB
E19 3 cB 3 eB 8 fA 0 hC 2 dB 0 eC 0 dC 1 eC 1 eC 2 cB
E20 30 aG 85 aA 87 aA 40 bE 76 aB 33 aF 49 aD 77 aB 72 aC 11 bH
E21 3 cA 3 eA 5 gA 0 hB 2 dB 1 eB 2 cB 1 eB 2 eB 0 dB
E22 0 dB 0 fB 5 gA 0 hB 2 db 0 eB 0 dB 0 eB 0 fB 0 dB
E23 0 dA 1 fA 4 gA 1 hA 1 eA 2 eA 1 cA 1 eA 2 eA 1 dA
E24 0 dB 2 eB 5 gA 1 hB 3 dA 0 eB 0 dB 1 eB 1 eB 1 dB
E25 0 dE 16 cB 11 eC 35 cA 10 cC 3 dD 1 cE 5 dD 0 fE 10 bC
E26 3 cA 3 eA 5 gA 0 hB 2 dB 1 eB 2 cB 1 eB 2 eB 0 dB
E27 0 dA 1 fA 0 hA 2 gA 0 eA 0 eA 0 dA 0 eA 0 fA 0 dA
E28 0 dA 0 fA 1 hB 0 hA 0 eA 0 eA 0 dA 1 eA 2 eA 2 cA
E29 0 dB 0 fB 2 hB 6 fA 2 dB 0 eB 0 dB 5 dA 0 fB 1 dB
E30 0 dE 2 eD 13 dA 4 gD 10 cB 0 eE 0 dE 7 dC 1 eE 3 cD

Environments (E) according to the schema proposed by Table 1. Cultivars: CD 2737 RR (1), BMX FLECHA 6266 RSF (2), NS 7209 IPRO (3), BMX FOCO 74I77 RSF IPRO (4), DM 75I76 RSF IPRO (5), ST 797 IPRO (6), BMX CHALLENGE 8473 RSF (7), BMX BONUS 8579 RSF IPRO (8), M7110 IPRO (9) and M-SOY 8866 (10). The averages followed by the same lower case letters in the column and upper case letters in the row did not differ statistically at 5% probability by the Scott Knott test. The averages followed by the different lowercase letters in the column and uppercase letters in the row differed statistically at 5% probability by the Scott Knott test.

The package coating contributed to the reduction of the moisture damage percentage of soybean seeds after nine months in ambient temperature and 15°C storage conditions, compared to the same cultivar, with the same storage duration, and the use of uncoated packaging. However, the best storage conditions were at 10°C, as these resulted in reduced moisture damage. The water content and temperature influenced the respiratory activity of the stored seeds and their effects on the deterioration process, an effect that became more evident with the storage duration increase (Fig 2F).

The desorption or sorption of water depending on the storage conditions caused a variation in the seeds water content reaching different humidity levels of hygroscopic balance between the seeds and the storage environment. This variation of the moisture led a disruption of cellular tissues causing physical damage and deterioration of the seeds. The damage caused by the variation of humidity interfered in the physiological quality of the seeds during the storage time. The tetrazolium test characterized the damage caused by moisture. The seed genotypes influenced the sorption and desorption of water content and, consequently, physical damage.

3.8 Tetrazolium vigor test on stored soybean seeds

The best results in terms of preserving vigor during storage were obtained at the 10°C storage environment; similar results were obtained at the 15°C storage environment (Table 11). The worst results were obtained under ambient temperature storage conditions, regardless of the use of package coating. Package coating helped slow down the deterioration progress and preserve seed vigor in the 15°C and 10°C storage environments, for the same cultivar and storage duration. The cold storage contributed to the preservation of the physiological quality of soybean seeds, with the difference between this and the ambient temperature storage being clearer after six months of storage (Fig 2G).

Table 11. Breakdown of the interaction between storage environments and soybean cultivars on the vigor test (%) obtained by analyzing the tetrazolium test.

E/Cultivars 1 2 3 4 5 6 7 8 9 10
E1 89 cA 83 cA 75 bB 63 fC 85 bA 81 cB 87 bA 58 eC 77 cB 85 cA
E2 91 cA 70 eC 29 gD 86 cB 70 cC 92 aA 83 cB 76 cC 73 dC 86 cB
E3 92 bA 90 bA 57 dD 86 cB 64 dC 90 bA 95 aA 81 bB 84 bB 87 cB
E4 68 fB 55 fD 29 gE 84 cA 61 dC 85 cA 82 cA 50 fD 66 eB 86 cA
E5 52 gC 20 gE 16 hE 34 gD 33 eD 71 eA 61 eB 5 gF 31 gD 35 hD
E6 89 cA 83 cA 75 bB 63 fC 85 bA 81 cB 87 bA 58 eC 77 cB 85 cA
E7 94 bA 91 bA 62 cC 87 cA 92 aA 92 aA 90 bA 61 dC 69 dB 95 aA
E8 86 cB 95 aA 55 dD 86 cB 93 aA 94 aA 93 aA 91 aA 64 eC 90 bA
E9 86 cA 86 cA 56 dD 92 bA 86 bA 84 cA 89 bA 64 dC 74 dB 86 cA
E10 91 cB 80 cC 74 bC 72 eD 96 aA 75 dC 78 dC 66 dE 79 cC 89 bB
E11 89 cA 83 cA 75 bB 63 fC 85 bA 81 cB 87 bA 58 eC 77 cB 85 cA
E12 83 dA 76 dB 52 dD 90 bA 68 cC 87 bA 73 dB 54 fD 64 eC 88 cA
E13 98 aA 83 cC 74 bD 97 aA 86 bC 93 aB 99 aA 96 aA 84 bC 91 bB
E14 82 dC 98 aA 59 dE 74 eD 85 bC 90 bB 84 cC 74 cD 82 bC 77 dD
E15 98 aA 88 cB 58 dD 79 dC 86 bB 88 bB 82 cC 91 aA 86 bB 94 aA
E16 89 cA 83 cA 75 bB 63 fC 85 bA 81 cB 87 bA 58 eC 77 cB 85 cA
E17 93 bA 87 cB 44 fF 78 dC 73 cD 88 bB 83 cC 54 fE 74 dD 97 aA
E18 86 cC 85 cC 42 fE 98 aA 74 cD 84 cC 75 dD 82 bC 90 aB 96 aA
E19 74 eB 68 eC 43 fE 84 cA 75 cB 76 dB 76 dB 60 eD 42 fE 72 eB
E20 28 hB 0 hD 1 iD 13 hC 1 fD 13 fC 13 fC 0 gD 0 hD 53 gA
E21 89 cA 83 cA 75 bB 63 fC 85 bA 81 cB 87 bA 58 eC 77 cB 85 cA
E22 77 dC 69 eD 76 bC 81 dB 81 bB 88 bA 88 bA 82 bB 74 cC 87 cA
E23 92 bA 88 cA 87 aA 91 bA 89 aA 96 aA 79 dB 73 cC 62 eD 89 bA
E24 80 dB 81 cB 49 eE 91 bA 74 cC 83 cB 80 dB 67 dD 76 cC 80 dB
E25 93 bA 74 dC 64 cD 63 fD 70 cC 84 cB 86 bB 75 cC 80 cB 67 fD
E26 89 cA 83 cA 75 bB 63 fC 85 bA 81 cB 87 bA 58 eC 77 cB 85 cA
E27 85 cB 67 eC 40 fE 62 fD 71 cC 66 eC 92 aA 62 dD 65 eD 94 aA
E28 98 aA 97 aA 75 bC 97 aA 92 aB 94 aB 96 aA 80 bC 90 aB 93 aB
E29 87 cA 87 cA 58 dD 76 eB 80 bB 81 cB 83 cB 71 cC 73 dC 81 dB
E30 92 bA 85 cB 59 dC 86 cB 63 dC 89 bA 88 bA 80 bB 83 bB 91 bA

Environments (E) according to the schema proposed by Table 1. Cultivars: CD 2737 RR (1), BMX FLECHA 6266 RSF (2), NS 7209 IPRO (3), BMX FOCO 74I77 RSF IPRO (4), DM 75I76 RSF IPRO (5), ST 797 IPRO (6), BMX CHALLENGE 8473 RSF (7), BMX BONUS 8579 RSF IPRO (8), M7110 IPRO (9) and M-SOY 8866 (10). The averages followed by the same lower case letters in the column and upper case letters in the row did not differ statistically at 5% probability by the Scott Knott test. The averages followed by the different lowercase letters in the column and uppercase letters in the row differed statistically at 5% probability by the Scott Knott test.

3.9 Viability test with tetrazolium in stored soybean seeds

The tetrazolium test performed to evaluate the viability percentage of the seeds produced similar results in all treatments, over the storage period (Table 12). The best results regarding the viability of the seeds were obtained from the 10°C and 15°C seed storage conditions up to twelve months (Fig 2H). The package coating contributed to the preservation of the viability percentage of the seeds.

Table 12. Breakdown of the interaction between storage environments and soybean cultivars on the viability test (%) obtained by analyzing the tetrazolium test.

E/Cultivars 1 2 3 4 5 6 7 8 9 10
E1 93 bA 95 bA 85 cB 91 bA 94 bA 93 bA 93 bA 91 cA 88 cB 91 bA
E2 95 bB 93 bB 87 cC 98 aA 96 aB 100 aA 95 bB 90 cC 83 dD 94 aB
E3 97 aB 94 bB 94 aB 99 aA 96 aB 100 aA 95 bB 99 aA 86 cC 96 aB
E4 85 cB 85 dB 87 cB 97 aA 95 bA 99 aA 94 bA 98 aA 82 dB 96 aA
E5 84 cA 64 fC 40 fF 34 fG 62 eC 81 cA 75 eB 46 dE 63 eC 58 cD
E6 93 bA 95 bA 85 cB 91 bA 94 bA 93 bA 93 bA 91 cA 88 cB 91 bA
E7 99 aA 94 bA 85 cB 96 aA 93 bA 96 bA 95 bA 95 bA 81 dC 95 aA
E8 96 bA 99 aA 79 dC 97 aA 97 aA 97 aA 96 bA 98 aA 86 cB 100 aA
E9 98 aA 99 aA 89 bC 99 aA 95 bB 98 aA 96 bB 94 bB 89 cC 95 aB
E10 97 aA 89 cC 88 bC 81 cE 100 aA 91 bC 85 dD 88 cC 87 cC 94 aB
E11 93 bA 95 bA 85 cB 91 bA 94 bA 93 bA 93 bA 91 cA 88 cB 91 bA
E12 98 aA 97 aA 90 bB 97 aA 95 bA 95 bA 94 bA 87 cB 94 bA 95 aA
E13 99 aA 97 aA 94 aB 97 aA 96 aA 100 aA 99 aA 97 aA 91 bB 91 bB
E14 98 aA 100 aA 86 cC 96 aA 95 bA 98 aA 93 bB 97 aA 92 bB 96 aA
E15 99 aA 100 aA 76 eD 89 bC 94 bB 95 bB 91 cC 98 aA 89 cC 96 aB
E16 93 bA 95 bA 85 cB 91 bA 94 bA 93 bA 93 bA 91 cA 88 cB 91 bA
E17 96 bA 96 bA 82 dD 94 aA 96 aA 95 bA 91 cB 90 cB 86 cC 99 aA
E18 98 aA 96 bA 88 bC 98 aA 97 aA 99 aA 91 cB 94 bB 93 bB 96 aA
E19 96 bA 92 bB 87 cC 95 aB 96 aA 99 aA 86 dC 98 aA 93 bB 94 aB
E20 66 dB 15 gG 13 gG 58 eC 24 fF 64 dB 50 fD 23 eF 28 fE 86 bA
E21 93 bA 95 bA 85 cB 91 bA 94 bA 93 bA 93 bA 91 cA 88 cB 91 bA
E22 96 bA 95 bA 86 cB 96 aA 92 bA 93 bA 100 aA 96 bA 83 dB 96 aA
E23 99 aA 97 aA 94 aA 97 aA 95 bA 98 aA 89 cB 97 aA 90 bB 95 aA
E24 96 bA 94 bA 86 cB 96 aA 94 bA 99 aA 93 bA 96 bA 88 cB 96 aA
E25 99 aA 79 eD 88 bC 64 dE 87 cC 95 bB 91 cC 95 bB 98 aA 89 bC
E26 93 bA 95 bA 85 cB 91 bA 94 bA 93 bA 93 bA 91 cA 88 cB 91 bA
E27 94 bB 93 bB 88 bC 94 aB 95 bA 98 aA 96 bA 99 aA 92 bB 97 aA
E28 99 aA 98 aA 91 bB 98 aA 99 aA 100 aA 99 aA 97 aA 94 bB 97 aA
E29 99 aA 99 aA 91 bB 93 bB 93 bB 99 aA 93 bB 94 bB 90 bB 96 aA
E30 100 aA 95 bB 81 dD 95 aB 80 dD 97 aA 94 bB 93 cB 89 cC 95 aB

Environments (E) according to the schema proposed by Table 1. Cultivars: CD 2737 RR (1), BMX FLECHA 6266 RSF (2), NS 7209 IPRO (3), BMX FOCO 74I77 RSF IPRO (4), DM 75I76 RSF IPRO (5), ST 797 IPRO (6), BMX CHALLENGE 8473 RSF (7), BMX BONUS 8579 RSF IPRO (8), M7110 IPRO (9) and M-SOY 8866 (10). The averages followed by the same lower case letters in the column and upper case letters in the row did not differ statistically at 5% probability by the Scott Knott test. The averages followed by the different lowercase letters in the column and uppercase letters in the row differed statistically at 5% probability by the Scott Knott test.

3.10 Cluster and principal component analysis of the environments, storage time, and soybean cultivars

In the cluster analysis, values close to red and blue indicated higher and lower means, respectively, for the germination, water content, and specific mass in the environment (Fig 3) or in the cultivar variables (Fig 4).

Fig 3. Cluster analysis of storage environments on the effects of physical and physiological quality of soybean seeds.

Fig 3

Fig 4. Cluster analysis of soybean cultivars on the effects of physical and physiological seed quality.

Fig 4

As is shown in Fig 3, the group formed by the E5 and E20 environments had the lowest germination values and intermediate water content and specific mass values. These results were confirmed by the principal component analysis (Fig 5), in which the environments were arranged in cluster 3.

Fig 5. Principal component analysis of soybean seed storage environments.

Fig 5

Greater deterioration was observed in seeds stored at ambient temperature than in cooled environments, with all the other variables remaining the same (same cultivar, package coating, and storage duration). The E5 (ambient temperature, with the use of package coating, and twelve months of storage) and E20 (ambient temperature, without the use of package coating, and twelve months of storage) environments stood out as the worst in terms of the physiological quality results obtained (Fig 3).

The use of coated packaging was beneficial in preserving the physiological quality of stored soybean seeds, however, its effect was significant only in ambient temperature environments for the same cultivar, type of package coating, and storage duration (Fig 3). Among the storage environments allocated in group 2 (Fig 3), E1, E6, E11, E16, E21, and E26 stood out for resulting in the highest germination, water content, and specific mass averages. These environments were also allocated to group 2 of the principal component analysis (Fig 6), thereby confirming their similarity in terms of resulting in the highest averages for soybean cultivars for the initial storage conditions (time point 0).

Fig 6. Principal component analysis of soybean cultivars in storage environments.

Fig 6

There was agreement regarding the formation of groups in the cluster (Fig 4) and main component (Fig 6) analyses applied to soybean cultivars. The M-SOY8866, M7110IPRO, CD 2737 RR, and BMX DESAFIO 8473 RSF cultivars were allocated to the group and stood out for resulting in the highest apparent specific mass and germination values as well as in the lower water content values. The other cultivars were allocated to group 2. In the storage environment grouping in the assessment of the physiological quality of soybean seed cultivars, the best results were obtained from environments E1, E6, E11, E16, E21, and E26 that represented time point 0 of storage (Fig 5).

The worst storage environment results were obtained from E5 and E20, which represented twelve months of storage in ambient temperature with and without the use of coating, respectively, thereby indicating that the longest storage duration and the ambient temperature were the factors that affected the physiological quality of soybean seeds in the most negative manner (Fig 5). The performance of stored soybean cultivars may differ under some conditions owing to genetic diversity; however, storage conditions can preserve the physiological quality of seeds (Fig 5). The thermal stability of seeds in the 10°C and 15°C storage environments was similar (Fig 5).

Different results were obtained depending on the storage conditions of soybean seed lots. However, depending on the cultivar, this difference was more evident in terms of the storage duration. The cultivars were subjected to different temperature and packaging conditions during twelve months of storage and, despite responding similarly to unfavorable conditions, owing to their specific characteristics, the soybean seeds of the M-SOY 8866, M7110 IPRO, CD 2737 RR, and BMX CHALLENGE 8473 RSF cultivars had the best performances in the physiological quality tests, which were performed in different storage environments (Fig 6).

The identification of the behavioral patterns of different cultivars in different storage environments facilitated our understanding of which of these environments were the most appropriate for storage (Fig 6). Our results allowed us to observe that the genetic characteristics of the cultivars and the environmental effects during the different storage stages, influenced seed viability (Fig 6).

4. Discussion

4.1 Water content of stored soybean seeds

In a study by Hartmann Filho et al. [18], the storage of soybeans in an uncontrolled environment resulted in an increase in their water content at 45 days and six months; however, a water content reduction was observed between three and five months [8]. Smaniotto et al. [19] observed a reduction in the water content of soybean seeds stored for six months at an average temperature of 27°C. Zuffo et al. [20] found a reduction in the water content of soybean seeds stored for eight months in a non-conditioned environment.

According to Conceição et al. [21], the water content of soybean seeds stored in a non-conditioned environment decreases from 11.1% (w.b.) to 10.0% (w.b.). A similar behavior has been observed in crambe seeds stored for nine months, during which period it was possible to contain water within the metallic packaging, while this was not possible with braided polypropylene, polyethylene terephthalate (PET), bottle, and styrofoam box packaging [22]. Another study showed that within three months of storage in an air-conditioned environment, big bag packaging allowed greater water and temperature conservation in soybean seeds, compared to Kraft paper packaging [23].

The storage of soybean seeds with a water content of 11% allowed for better preservation of their physiological quality, however the best results were obtained at lower temperatures. According to Alencar et al. [24], the association of higher temperatures and water content may increase the deterioration rate of soybeans. Zuffo et al. [20] found a reduction in the water content of soybean seeds stored for eight months in a non-climatized environment. In the work carried out by Juvino et al. [25], the soybean seeds that were stored for nine months showed greater amplitude in terms of their water content variation in the non-climatized environment than in the ambient environment (18°C) owing to the greater influence of the temperature and relative humidity changes. Zucarelli et al. [26] found higher water contents in bean seeds stored for 18 months in a non-climatized than in a climatized environment.

4.2 Changes in the apparent specific mass of stored soybean seeds

The storage environments influenced the increase in the respiration of the seeds, resulting in a high consumption of dry matter and reducing the apparent specific mass of the seeds during storage. Storage in natural environment conditions reduced the specific mass of soybean seeds in the first months, which remained below that obtained from other storage conditions and was constant over time. Increases in the water content and seed mass temperature as well as in the water activity and intergranular relative humidity can result in increases in the seed respiration rates and, consequently, in higher CO2 concentrations, thereby resulting in greater loss of matter drought and the deterioration and reduction of the apparent specific mass of seeds stored over time [2731].

4.3 Storage effects on the germination of soybean seeds

According to Hartmann Filho et al. [18], the germination capacity of soybean seeds stored for six months in a non-conditioned environment is above 80%, which is considered the minimum standard for commercial soybean seeds. However, the performance of soybean cultivars under uncontrolled conditions reduced in a germination test after three months of storage, with greater performance reductions after six months [32].

Non-climatized environments were inefficient in preserving the quality of soybean seeds during storage. According to Neve et al. [33], the performance of soybean seeds stored for six months in a non-conditioned warehouse is reduced. Carvalho et al. [34] evaluated soybean seeds stored in an uncontrolled environment for eight months and observed a reduction in their germination performance after the fourth month of storage.

Zuffo et al. [20] discovered losses, below the 80% minimum quality standard that is required for commercial seeds, in soybean seeds stored in a non-climatized environment for eight months. According to Conceição et al. [21], soybean seeds stored in a non-conditioned environment with a 92% germination rate, showed had 85%, 69%, and 55% germination rates after being stored for four, six and nine months, respectively. According to Carvalho et al. [32], the germination capacity of soybean seeds stored for seven months in a non-conditioned environment decreases below the commercial standard. Storage in climatized environments at lower temperatures is a favorable alternative for preserving seed quality. According to Zuchi et al. [8], refrigeration is beneficial for stored soybean seeds, as it improves their germination performance. Soybean seeds stored for six months preserve the same germination pattern when stored at 20°C; however, at 27°C, their germination rate decreases and falls below the commercial standard rate [19].

Soybean seeds with a 94% germination rate stored for seven and a half months in an air-conditioned environment at 20°C reach a 91% germination rate, while in an non-conditioned environment they reach an 84% germination rate [15]. Soybean seeds stored for eight months perform superiorly in terms of their germination rate in an air-conditioned environment at 10°C than seeds that are kept at ambient temperature [32]. High storage temperatures were detrimental to preserving the quality of soybean seeds. In a study conducted by Sarath et al. [35] on peanut seeds, the authors verified a 96% germination rate after five months of storage and an 83% germination rate in seeds stored in an uncontrolled environment.

Paraginski et al. [36] who studied corn seeds stored for twelve months, observed lower decreases in the germination percentage of seeds stored at 5°C and 15°C than in that of seeds stored at 25°C and 35°C. Bessa et al. [37] stored crambe seeds and obtained better germination rates in PET packaging, compared to laminated and high density polyethylene packaging in an air-conditioned environment at 10°C and in a non-conditioned environment [38]. Seed deterioration is a natural process and seeds are prone to losing vigor more quickly when they are stored in environments with elevated temperatures than in refrigerated environments. Likewise, Smaniotto et al. [19] reported a reduction in the quality of soybean seeds stored for six months under a high temperature (27°C), as the germination rates decreased dramatically, even for seeds with low water content, owing to the direct influence of storage time and temperature.

4.4 Changes in the electrical conductivity of stored soybean seeds

According to Neve et al. [33], the electrical conductivity of many soybean seeds that have high vigor is below 80 μS cm-1 g-1, while these values may vary depending on the cultivar. Thus, Zuchi et al. [8] found that soybean seeds stored in a refrigerated environment have lower electrical conductivity than seeds stored in a non-conditioned environment, thus indicating a better organization of the cellular tissues of the former seeds. In bean seed evaluations, Zucarelli et al. [29] detected deterioration when they obtained higher electrical conductivity values in seeds stored in a non-refrigerated environment (58.56 μS cm-1 g-1) than in those stored in an air-conditioned environment (55.90 μS cm-1 g-1) for forty five months.

Additionally, seeds stored for six months in a refrigerated environment at 20°C had more favorable electrical conductivity results than seeds stored at ambient temperature [19]. Storing soybean seeds in environments with ambient temperatures accelerates their deterioration rate over the storage period. Virgolino et al. [23] obtained lower electrical conductivity values for chilled seeds stored in kraft paper packaging than for seeds stored in uncooled conditions in big bags.

Paraginski et al. [36] and Coradi et al. [39] found that corn seeds stored in a refrigerated environment had increased electrical conductivity values; however, the electrical conductivity values of seeds stored at ambient temperature doubled and, consequently, they suffered greater deterioration. The longer the storage time and the higher the packaging permeability, the greater the seed deterioration of the seeds. Carvalho et al. [34] observed that after six months of storage, soybean seeds had higher electrical conductivity values over time. While Carvalho et al. [32] who evaluated soybean seeds stored for seven months in a non-refrigerated environment, obtained higher electrical conductivity values and reduced seed quality at the end of the storage time.

4.5 Influence on the first germination count (vigor) of stored soybean seeds

The seeds that were stored in artificially refrigerated environments deteriorated less; these results verified that the temperature of the seed mass became uniform faster, thereby reducing the water vapor exchanges and the effect of the heat sources and regulating the humidity that resulted in a hygroscopic equilibrium condition that was favorable for storage. According to Berbert et al. [40] and Zhang et al. [41], water content is the most significant factor that should be controlled in order to prevent seed deterioration during storage.

Smaniotto et al. [19] found that the initial water content influenced the quality of soybean seeds during storage, and seeds stored with a higher initial water content of 14% (w.b.) suffered greater quality loss during storage. Smaniotto et al. [19], who studied the biochemical changes and the physiological potential of soybean seeds, observed that storing seeds under adverse conditions reduced their physiological potential and damaged their structure; additionally, soybean seeds harvested at different times and with high physiological potential showed differences in their izoenzymatic patterns over the storage period.

There are no significant variations in the results of the first germination count of soybean seeds stored at ambient temperature for three months [23]. However, Carvalho et al. [34] observed a reduction in the germination rate and the first germination count of soybean seeds stored for eight months differing only between the storage times. No reductions have been observed in the first germination count of soybean seeds stored for two months in a non-climatized environment [42]. However, after six months of storage, such a reduction occurred owing to the increased deterioration of soybean seeds, especially in these stored at ambient temperature.

Cardoso et al. [22] observed that crambe seeds stored for six months in metallic packaging performed better in terms of the first germination count; these results were not different from those obtained from seeds stored in PET packaging. According to Sarath et al. [35], the first germination count of peanut seeds stored at ambient temperature for five months decreased from 94% to 63%. After twelve months of storage, the best first germination count results were obtained from carioca bean seeds stored in an air-conditioned environment at 20°C [26].

4.6 Mechanical damage from moisture in stored soybean seeds

According to Afonso Junior et al. [43], the high water activity incurred by the storage environment causes an increase in the respiratory rate of seeds and an increase in their water content, thereby leading to an increase in the metabolic rate and the temperature of the seed mass. According to Carvalho and Nakagawa [44,45], the seed coat is the main water absorber, which, when subjected to different temperature, time, and storage package conditions, influences the water level variations in the respiratory process, in metabolic activities, and in seed germination, thereby increasing mechanical damage.

4.7 Soybean seed vigor based on the results of the tetrazolium test

The germination and vigor test results of Forti et al. [46] suggest that uncontrolled storage environments cause a greater reduction in the physiological potential of soybean seeds compared to the dry (50% RH and 20°C) and cold (90% RH and 10°C) chambers. According to Neve et al. [33], soybean seeds stored for six months in a non-air-conditioned warehouse lose their vigor and viability. On the other hand, Ferreira et al. [15] observed that soybean seeds stored for seven and a half months in an air-conditioned environment at 20°C preserved their vigor and viability better compared to seeds stored in a non-conditioned environment with the use of the tetrazolium test.

Ferreira et al. [15] observed that soybean seeds kept under cold storage at 20°C had better vigor than uncooled seeds or seeds cooled to 17°C and stored in uncooled environments for seven and a half months. Zuchi et al. [8] found that there was no significant difference in terms of vigor and viability, according to the tetrazolium test results, between chilled and non-chilled soybean seed batches stored for four months.

4.8 Soybean seed viability the tetrazolium test

The use of soybean seeds with high physical, genetic, physiological, and sanitary quality standards is the main contributing factor in the successful establishment of cultures in the field [4750]. Mechanical damages seriously impair soybean seed quality, and they can influence negatively the viability and vigor of the seeds during storage [4749]. According to Cunha et al. [51], soybean seeds lose their viability after six months of storage in tropical conditions, but in artificial cooling conditions, they can preserve their physiological quality during twelve months of storage.

Demito and Afonso [11] found that seeds cooled artificially from 15°C to 12°C preserve their germinative power during five months of storage. However, owing to the morphological arrangement of soybean seeds that provides little protection to the embryonic axis, as this is surrounded by a thin coat [52,53], the seeds become more susceptible to mechanical damage which is considered an important cause of decreased seed quality.

4.9 Cluster and main component analyses of the environments, storage time, and soybean cultivars

According to Zuffo et al. [20], the longer the storage time, the lower the seed quality. The storekeeper can mitigate the process of seed deterioration only by controlling the biotic and abiotic factors. The soybean seeds that were stored in a non-conditioned environment for eight months, had reduced water content, germination, total dry mass, electrical conductivity, vigor, and tetrazolium viability. Virgolino et al. [23] observed that artificial cooling, ambient temperature, and different types of packaging had similar effects on the physiological quality of seeds. However, “big bag packaging” being the raffia bag with a capacity of one ton of seeds is more efficient in preserving the water content of chilled seeds, while the authors did not observe any direct effects of cooling on the germination and the vigor of soybean seeds.

Filho [54] stated that ambient temperature and relative humidity are the main factors that preserve seed quality during storage. Seeds stored in high temperatures and with high water content have high respiratory rates, which accelerate their deterioration by speeding up the consumption of their reserves, generating physiological wear, and decreasing their germination rates and their vigor [55,56]. Rosa et al. [57] observed that the physiological quality of seeds was superior in cold storage compared to storage under ambient conditions; additionally, the lots of cultivars FPS Jupiter, FPS Urano, FPS Antares, FPS Neptune, and CD 250 showed high twinning and vigor, with variations in their germination results, germination speed index, first count of the germination test, and electrical conductivity. Demito and Afonso [11] observed that the physiological quality of artificially cooled soybean seeds was preserved over five months of storage and they had a higher germination percentage than uncooled seeds.

According to Villela and Menezes [9] the main objectives of storage are to preserve the viability and vigor of the seeds. According to the authors, the associations between temperature and humidity influence seed longevity during storage and every 5.5°C temperature decrease during this stage may double seed longevity, while also allowing a reduction in the consumption of seed reserves by pathogens or by your own breathing process. Carvalho et al. [32] reported that the aim of current research is to facilitate the selection of soybean genotypes whose seeds have greater storage capacity; however, there are currently few studies that examine the effect of genetic diversity on the physiological quality of soybean seeds in the post-harvest period.

Mengarda et al. [58] who tested parental genotypes, identified some with higher performance in terms of seed quality. Gris et al. [59] also found dissimilarities in relation to the physiological quality of seeds. According to VanUtrecht et al. [60], seeds subjected to unfavorable conditions suffer physiological damages that impair the performance and quality of the seed lot, at different intensity levels, owing to the genetic and intrinsic factors of each cultivar.

5. Conclusions

The seeds of the M-SOY 8866, M7110 IPRO, CD 2737 RR, and BMX DESAFIO 8473 RSF soybean cultivars performed better in the physiological quality tests conducted in different storage environments.

The storage duration had a cumulative effect on the negative factors that favor the deterioration of the quality of the stored seeds.

The storage temperature was the main factor that affected the physiological quality of the stored seeds. Seed storage at ambient temperature resulted in the worst physiological quality of the seeds, especially in the last month of storage.

The use of coated packaging was beneficial in preserving the physiological quality of stored soybean seeds; however, its effect was greater in ambient temperature conditions than in cold environments.

The best storage environment for preserving the physiological quality of the seeds was at 10°C with the use of coated packaging, while the worst was at ambient temperature without the use of coated packaging.

It was concluded that the use of coatings in raffia big bags can be an alternative for maintaining the quality of seeds of different soybean cultivars during storage in seed processing units.

Supporting information

S1 Table. Data set as a supporting information.

(XLS)

Acknowledgments

The authors would like to thank Federal University of Santa Maria (UFSM), FAPERGS-RS (Research Support Foundation of the State of Rio Grande do Sul), FUNDECT (Support Foundation for the Development of Education, Science and Technology of the State of Mato Grosso do Sul), Research Group at Postharvest Innovation: Technology, Quality and Sustainability (UFSM) and Plant Breeding in the Cerrado Sul-Mato-Grossense (UFMS) for their collaboration in the research work.

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

The authors would like to thank CAPES (Coordination for the Improvement of Higher Education Personnel)-Financial Code 001, CNPq (National Council for Scientific and Technological Development), and Federal University of Mato Grosso do Sul (UFMS) for the financial contributions to research projects, and scholarships for carrying out the experiments. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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