Wide Adaptability Research Articles

Co@C core-shell nanostructures anchored on carbon cloth for activation of peroxymonosulfate to degrade tetracycline

Cobalt-based heterogeneous nanocatalysts have attracted much attention in activating persulfate to rapidly eliminate organic pollutant in water. However, it remains a challenge to realize the easily recovery of these nanocatalysts and reduce the leaching of Co ions. Herein, Co@C core-shell nanostructures are anchored on the surface of carbon cloth (CC). The as-obtained immobilized catalyst of Co@C/CC exhibits an enhanced catalytic activity and lower leaching of Co ions in comparison with the bare Co@C nanocatalyt because of the high electrical conductivity and carrier effect of CC. The Co@C/CC demonstrates efficient catalytic performance in activating peroxymonosulfate (PMS) for tetracycline (TC) degradation. 99% of TC can be quickly degraded by the Co@C/CC/PMS system, and the system has good durability and interference resistance as well as wide pH adaptability from 3 to 10. Scavenger quenching experiments and electron paramagnetic resonance (EPR) shows that the non-free radical pathway (1O2) is dominate contribute to the TC degradation. Finally, density functional theory (DFT) calculations yield CC as the primary attack site in TC, and the possible degradation pathways of TC are inferred. Importantly, the immobilized catalyst of Co@C/CC can achieve fast and simple collection and regeneration. This work provides new ideas for the preparation of efficient catalysts with easily recyclable for rapidly eliminate organic pollutant in water.

Syringa oblata genome provides new insights into molecular mechanism of flower color differences among individuals and biosynthesis of its flower volatiles.

Syringa oblata is a high ornamental value tree owing to its elegant colors, unique aromas and wide adaptability, however, studies on the molecular mechanism underlying the formation of its ornamental traits are still lacking. Here, we presented a chromosome-scale genome assembly of S. oblata and the final genome size was 1.11 Gb with a contig N50 of 4.75 Mb, anchored on 23 chromosomes and was a better reference for S. oblata transcriptome assembly. Further by integrating transcriptomic and metabolic data, it was concluded that F3H, F3'H, 4CL and PAL, especially the F3'H, were important candidates involved in the formation of floral color differences among S. oblata individuals. Genome-wide identification and analysis revealed that the TPS-b subfamily was the most abundant subfamily of TPS family in S. oblata, which together with the CYP76 family genes determined the formation of the major floral volatiles of S. oblata. Overall, our results provide an important reference for mechanistic studies on the main ornamental traits and molecular breeding in S. oblata.

HISTORY AND EVALUATION OF EMMER WHEAT

Grains are the most important source of calories and protein in the world. It is known that 52% of the daily calorie intake per capita in the world is taken from proteins and 47% from grain products. Wheat grain, which is one of the most important cereal products, has been the main food source for most countries for many years due to its suitable nutritional value, transportation, storage, easy cultivation, and wide adaptation limits.
 Undoubtedly, wheat comes first among the cultivated plants that are of great importance in different aspects today. Wheat is an indispensable food item for human nutrition in Turkey as well as all over the world. Productive and high-quality wheat varieties developed with traditional plant breeding programs have met the nutritional needs of people so far, and studies continue rapidly today. However, world agriculture is facing serious problems due to changing biotic and abiotic environmental pressures. The cultivars have become more homogeneous in terms of their genetic structures and contain less genetic diversity than their village varieties, transitional forms, and wild relatives. Wild species, transitional forms, and village varieties are gene stores that have a wide genetic base and constitute an important resource for the elimination of future problems of cultivated plants or for the acquisition of new characteristics in plants.

Surface hydroxyl-riched calcium carbonate and copper oxide composites for Fenton-like removal of bisphenol A

Surface functional groups have a key role in the removal of contaminants by advanced oxidation technology. Here, we explored the role of surface hydroxyl groups on pollutant removal by constructing novel surface hydroxyl-riched CaCO3@CuO. The hydroxyl groups on the surface of the composite accelerated the adsorption between the peroxymonosulfate and the catalyst, accelerating the catalytic reaction, and the kinetic removal rate of bisphenol A increased by 2.76 times. 1O2 is the dominant reactive oxygen species in the CaCO3@CuO/PMS/BPA system. The system has wide pH adaptability (pH = 3–11), good tolerance to complex water environments. This study provides novel insights into the mechanism of polymerization by surface hydroxyl groups in Fenton-like reactions for contaminant removal.

Deciphering the genomic regions governing major agronomic traits and blast resistance using genome wide association mapping in finger millet

Finger millet (Eleusine coracana L.) is climate resilient minor millet of Asia and Africa with wide adaptation and unparallel nutritional profile. To date, genomic resources available in finger millet are scanty and genetic control of agronomic traits remains elusive. Here, a collection of eco-geographically diverse 186 genotypes was quantified for variation in 13 agronomic traits and reaction to blast to identify marker-trait associations (MTAs) using genotyping-by-sequencing (GBS) and genome-wide association study (GWAS). GBS generated 2977 high quality single nucleotide polymorphism (SNPs) markers and identified three subpopulations with varying admixture levels. General linear and mixed model approaches of GWAS to correct for population structure and genetic relatedness identified 132 common MTAs for agronomic traits across the years. The phenotypic variance explained by the makers varied from 4.8% (TP692389-flag leaf width) to 20% (TP714446-green fodder weight). Of these, 26 MTAs showed homology with candidate genes having role in plant growth, development and photosynthesis in the genomes of foxtail millet, rice, maize, wheat and barley. We also found 4 common MTAs for neck blast resistance, which explained 5.9–15.1% phenotypic variance. Three MTAs for neck blast resistance showed orthologues in related genera having putative functions in pathogen defense in plants. The results of this work lay a foundation for understanding the genetic architecture of agronomic traits and blast resistance in finger millet and provide a framework for genomics assisted breeding.

Target Discovery of Flavonoids from Elymus nutans Griseb Using Medium- and High-Pressure Liquid Chromatography Combined with Online High-Performance Liquid Chromatography–1,1-diphenyl-2-picrylhydrazyl Detection

Forage-based nutrients constitute the main forage value of forage grass. Elymus nutans Griseb possesses a wide ecological adaptability, enhanced crude protein content, good palatability, and excellent genes. Herein, employing medium- (MPLC) and high-pressure liquid chromatography (HPLC), along with online HPLC-DPPH (OHD)-based identification, two primary radical scavenging compounds were extracted and identified from the methanolic extract of Elymus nutans Griseb. With a starting material of 300 g of Elymus nutans Griseb, 5.95 g of the target DPPH suppressors fraction (Fr6) was separated following one cycle of MCI GEL® CHP20P medium pressure liquid chromatography. A Kromasil 100-5-Phenyl column was subsequently employed for further purification of the fraction, which yielded 432.16 mg of Fr62 (7.26% recovery) and 489.01 mg of Fr63 (8.22% recovery). The target compounds were then assessed based on their structure and purity, and two compounds (salcolin A and tricin) were extracted with > 95% purity. This newly designed procedure was highly effective for the targeted flavonoids, and high-purity radical scavenger extraction from forage extracts. This methodology can potentially provide a scientific basis for their quality evaluation.

Effect of formulated biochar on nodule production, dry matter and grain yield of black soybean (Glycine max (L.) Merr) in Indonesia

Biochar is an important material for soil mineral supply and amendment. Root nodule formation in leguminous plants is also stimulated by biochar. Biochar contains carbon which can be used as an energy source by microbes and contains pores which are suitable for microbial habitat, and it temporarily increases activity of free-living nitrogen-fixing bacteria. Coconut shell biochar can be used as an ameliorant, but the use of single coconut shell biochar can cause a problem such as the use of high dose that will lead into high cost. One of the solutions to solve the problem is to improved coconut shell biochar into formulated biochar (FB) by managing the composition and enrich it with chemical fertilizer’s such as dolomite, organic fertilizer compost of sugarcane bagasse and guano. Mixture of formulated biochar (FB) gave better results than single biochar alone on black soybean. When this FB is applied in the field, it can make efficient use of an organic fertilizers in increasing grain yields. This research was conducted to determine the effect of Formulated Biochar (FB) on nodule production, dry matter and productivity of black soybean seeds. The study was conducted for one season in an experiment field in Winaya Mukti University, Sumedang-Indonesia at 850 m above sea level (m ASL). Detam I seed cultivar was used because it has a wide adaptability in Indonesia and has high nutrient composition and yield potential. The experiment was arranged in a randomized block design consisting of 5 treatment doses of FB (0, 0.5, 1.0, 1.5, 2.0 tons ha-1) and replicated 5 times. The responses observed were the number of effective nodules, growth characteristics, production components and productivity of black soybeans. The results showed that the application of FB had a significant effect on increasing the effectiveness of nodule production, dry matter, and productivity of black soybean seeds. The formulated biochar dose of 2.0 tons ha-1 increased the effectiveness of nodule production up to 100% and 44.87% of soybean productivity, while the formulated biochar dose of 1.5 tons ha-1 increased soybean productivity by 38.46% compared to the control. It is therefore concluded that formulated biochar as soil conditioner and soil booster could be used to improve the growth and grain yield of black soybean. Key words: Black soybean, coconut shell biochar, component yield, dry mater, formulated biochar, grain yield, growth, nodulation

Fe2P/N-doped biocarbon composite derived from mycelial pellet for bisphenol AF removal through peroxymonosulfate activation

In this work, microorganism of Phanerochaete chrysosporium with iron-tolerating and accumulating abilities was cultivated and harvested as mycelial pellets, which could serve as a sustainable and environmental-friendly precursor for iron phosphide/N-doped biocarbon composite preparation. Through one-step pyrolysis process, the inherent Fe and P elements in mycelial pellet enabled the formation of well crystallized Fe2P particles, loading on N-doped biocarbon matrix. Benefiting from the porous structure, high specific surface area, N doping-induced defects and CO groups of biocarbon, as well as the good electron-donating property of Fe2P, the as-obtained Fe2P/BC composite performed well for bisphenol pollutant (e.g., BPAF) removal through peroxymonosulfate (PMS) activation. Specifically, almost complete BPAF removal was achieved within 30 min adsorption and 10 min catalysis process with an apparent reaction rate constant of 0.486 min−1. The good crystallinity and protective carbon layer wrapping on Fe2P enabled the wide pH adaptability and low iron leaching of Fe2P/BC in catalytic reaction. Inorganic anions and humic acid brought only slight inhibition for BPAF removal, which could be overcome by prolonging reaction time to 30 min. Further mechanism studies indicated that reactive oxygen species, e.g., SO4-•, •OH and 1O2 were generated through both radical and non-radical pathways and contributed to BPAF degradation. After treatment by Fe2P/BC-PMS system, the total organic carbon (TOC) of original BPAF solution (20 mg L−1) was reduced by 51.6%. Fortunately, the residual degradation intermediate products showed much reduced ecotoxicity in both predicted (ECOSAR program) and experimental results (growth inhibition test using Raphidocelis subcapitata as ecological indicator).

An Improved Crystal Structure Algorithm for Engineering Optimization Problems

Crystal Structure Algorithm (CryStAl) is a new meta-heuristic algorithm, and it has been studied by many scholars because of its wide adaptability and the fact that there is no need to set parameters in advance. An improved crystal structure algorithm (GLCryStAl) based on golden sine operator and Levy flight is designed in this paper. The algorithm makes good use of the relationship between the golden sine operator and the unit circle to make the algorithm exploration space more comprehensive, and then gradually narrows the search space in the iterative process, which can effectively speed up the convergence rate of the algorithm. At the same time, a Levy operator is introduced to help the algorithm effectively get rid of the attraction of local optimal value. To evaluate the performance of GLCryStAl, 12 classic benchmark functions and eight CEC2017 test functions were selected to design a series of comparative experiments. In addition, the experimental data of these algorithms are analyzed using the Wilcoxon and Friedman tests. Through these two tests, it can be found that GLCryStAl has significant advantages over other algorithms. Finally, this paper further tests the optimization performance of GLCryStAl in engineering design. GLCryStAl was applied to optimize pressure vessel design problems and tension/compression spring design problems. The optimization results show that GLCryStAl is feasible and effective in optimizing engineering design.

In situ bioremediation of petroleum hydrocarbon-contaminated soil: isolation and application of a Rhodococcus strain.

Due to low consumption and high efficiency, in situ microbial remediation of petroleum hydrocarbons (PHs)-contaminated sites in in-service petrochemical enterprises has attracted more and more attention. In this study, a degrading strain was isolated from oil depot-contaminated soil with soil extract (PHs) as the sole carbon source, identified and named Rhodococcus sp. OBD-3. Strain OBD-3 exhibited wide adaptability and degradability over a wide range of temperatures (15-37°C), pH (6.0-9.0), and salinities (1-7% NaCl) to degrade 60.6-86.6% of PHs. Under extreme conditions (15°C and 3-7% salinity), PHs were degraded by 60.6 ± 8.2% and more than 82.1% respectively. In OBD-3, the alkane monooxygenase genes alkB1 and alkB2 (GenBank accession numbers: MZ688386 and MZ688387) were found, which belonged to Rhodococcus by sequence alignment. Moreover, strain OBD-3 was used in lab scale remediation in which the contaminated soil with OBD-3 was isolated as the remediation object. The PHs were removed at 2,809 ± 597mg/kg within 2months, and the relative abundances of Sphingobium and Pseudomonas in soil increased more than fivefold. This study not only established a system for the isolation and identification of indigenous degrading strains that could efficiently degrade pollutants in the isolated environment but also enabled the isolated degrading strains to have potential application prospects in the in situ bioremediation of PHs-contaminated soils.

GWAS analysis to elucidate genetic composition underlying a photoperiod-insensitive rice population, North Korea.

Heading date (Hd) is one of the main factors determining rice production and regional adaptation. To identify the genetic factors involved in the wide regional adaptability of rice, we conducted a genome-wide association study (GWAS) with 190 North Korean rice accessions selected for non-precocious flowering in the Philippines, a low-latitude region. Using both linear mixed models (LMM) and fixed and random model circulating probability unification (FarmCPU), we identified five significant loci for Hd in trials in 2018 and 2019. Among the five lead single nucleotide polymorphisms (SNPs), three were located adjacent to the known Hd genes, Heading date 3a (Hd3a), Heading date 5 (Hd5), and GF14-c. In contrast, three SNPs were located in novel loci with minor effects on heading. Further GWAS analysis for photoperiod insensitivity (PS) revealed no significant genes associated with PS, supporting that this North Korean (NK) population is largely photoperiod-insensitive. Haplotyping analysis showed that more than 80% of the NK varieties harbored nonfunctional alleles of major Hd genes investigated, of which a nonfunctional allele of Heading date 1 (Hd1) was observed in 66% of the varieties. Geographical distribution analysis of Hd allele combination types showed that nonfunctional alleles of floral repressor Hd genes enabled rice cultivation in high-latitude regions. In contrast, Hd1 alleles largely contributed to the wide regional adaptation of rice varieties. In conclusion, an allelic combination of Hd genes is critical for rice cultivation across wide areas.

Multi-granulation fuzzy rough sets based on overlap functions with a new approach to MAGDM

A common approach to constructing fuzzy rough sets (FRSs) is using t-norms. Furthermore, establishing multi-granulation fuzzy rough sets (MGFRSs) is also usually undertaken by means of t-norms. However, most of these sets cannot satisfy the property that upper approximations contain lower approximations under fuzzy binary relations, which is imperative for rough set models. The overlap function is a type of aggregate function that is widely used in multi-attribute decision-making (MADM), image processing and other fields. In this paper, two novel types of MGFRS models under n-dimensional overlap functions are established to overcome the shortcomings of existing models, which are then applied to the multi-attribute group decision-making (MAGDM) problem. First, idempotent n-dimensional overlap functions are used to establish optimistic and pessimistic MGFRSs. These new models fully preserve the important properties of the traditional MGFRS model. Second, through the theoretical analysis of MGFRS based on overlap functions (OMGFRS) and in combination with the TOPSIS method, a solution mechanism for the MAGDM method is proposed. Finally, to fully illustrate this decision-making method, an effective example is developed. A comparison with available methods indicates that this approach is more suitable and has wider adaptability, and that is can be used to handle decision-making problems.

Construction of high density genetic map and quantitative trait locus mapping in a sorghum Tx623A × sudangrass S722 population

AbstractSorghum–sudanense is a hybrid of sorghum and Sudanese grass and is widely used in animal husbandry and aquaculture because of its high yield, excellent quality and wide adaptability. Using high‐throughput sequencing, we constructed a high‐density genetic map of sorghum Tx623A × sudangrass S722 with 103 recombinant inbred lines (RILs) in this study and mapped quantitative trait loci (QTLs) for plant height (PH), stem diameter (SD), tiller number (TN), fresh weight (FW) and dry weight per plant (DW). The map included 1610 markers with a total length of 2329 cM and QTL mapping identified 19 QTLs, including two for PH, three for SD, four for TN, four for FW and five for DW. We detected two QTL clusters containing overlapping QTLs for PH, FW and DW. Orthologs of three SD candidate genes from maize were found within two SD QTLs. The identification of these QTLs will be useful for cloning the corresponding genes for these traits and developing marker‐assisted selection (MAS) in future sorghum breeding programs.

Prediction of sunflower grain yield under normal and salinity stress by RBF, MLP and, CNN models

Sunflower is one of the most valuable oilseeds in the world due to its high-quality oil and wide adaptation to climatic and soil conditions. Salinity is one of the most harmful environmental stresses and severely reduces the yield of crops. In the present study, the effectiveness of multiple regression techniques, convolutional neural network (CNN), and artificial neural network (ANN) are investigated using regression results as input variables in the estimation of sunflower grain yield under normal and salinity conditions, separately. Then the most important parameters identified in two conditions (head diameter, plant height, and weight of five seeds) were used in the CNN model to predict grain yield for the time when we do not know the growth conditions of the plant. The fitted model had R 2 = 0.914, MAPE = 4.95, MAE = 0.163, and RMSE = 1.699. The results showed that the CNN model provides the best estimation for sunflower grain yield compared to the ANN and multiple regression models. Sensitivity analysis showed that head diameter was the most effective trait on sunflower seed yield. Yield estimation with head diameter, identified as the most influential parameter, with the CNN model produced acceptable performance and accuracy. • The results showed that the CNN model provides the best estimation for sunflower grain yield compared to the ANN and MLR. • Sensitivity analysis showed that head diameter was the most effective trait on sunflower seed yield.

Seed Yield, Crude Protein and Mineral Nutrients of Lentil Genotypes Evaluated across Diverse Environments under Organic and Conventional Farming

Lentil is an important legume crop for human and animal dietary needs due to its high nutritional value. The effect of genotype and growing environment was studied on seed yield (SY), crude protein (CP) and mineral nutrients (macro and micronutrients) of five lentil genotypes grown at four diverse locations for two consecutive years under organic and conventional farming. The location within each year was considered as a separate environment (E). Data were subjected to over environment two-way analysis of variance, while a genotype (G) plus genotype × environment (GGE) biplot analysis was performed. Our results indicated the E as the main source of variation (62.3-99.8%) for SY, CP and macronutrients for both farming systems, while for micronutrients it was either the E or the G × E interaction. Different environments were identified as ideal for the parameters studied: E6 (Larissa/Central Greece/2020) produced the higher CP values (organic: 32.0%, conventional: 27.5%) and showed the highest discriminating ability that was attributed to the lowest precipitation during the crucial period of pod filling. E7 (Thessaloniki/Central Macedonia/2020) and E8 (Orestiada/Thrace/2020) had fertile soils and ample soil moisture and were the most discriminating for high micronutrient content under both farming systems. Location Orestiada showed the highest SY for both organic (1.87-2.28 t ha-1) and conventional farming (1.56-2.89 t ha-1) regardless the year of cultivation and is proposed as an ideal location for lentil cultivation or for breeding for high SY. Genotypes explained a low percentage of the total variability; however, two promising genotypes were identified. Cultivar "Samos" demonstrated a wide adaptation capacity exhibiting stable and high SY under both organic and conventional farming, while the red lentil population "03-24L" showed very high level of seed CP, Fe and Mn contents regardless E or farming system. This genetic material could be further exploited as parental material aiming to develop lentil varieties that could be utilized as "functional" food or consist of a significant feed ingredient.

Genetic and Genomics Resources of Cross-Species Vigna Gene Pools for Improving Biotic Stress Resistance in Mungbean (Vigna radiata L. Wilczek)

Mungbean (Vigna radiata L. Wilczek) is an important short-duration grain legume of the genus Vigna that has wider adaptability across agro-climatic regions and soil types. Significant strides have been made towards the development of superior, high-yielding, and climate resilient cultivars in mungbean. A number of donors for various traits to have been deployed in introgression breeding. However, the use of common sources of resistance to different biotic stresses may lead to boom and bust cycles due to the appearance of new races or biotypes. Therefore, broadening the genetic base using wild and exotic plant genetic resources may offer a better quality of durable resistance. Many crop wild relatives (CWRs) confer a high degree of resistance against multiple diseases. Recently, several agronomically important genes have been mapped using inter-specific populations, which are being deployed for the improvement of mungbean. In such a situation, tagging, mapping, and exploiting genes of interest from cross-species donors for stress tolerance will offer novel genetic variations. This will also provide increased opportunities for the selection of desirable types. Advances in genomics and transcriptomics have further made it easy to tag the cross-compatible resistance loci and study their expression for delineating the mechanism of resistance. The comparative analysis of omics technology also helps in understanding the evolution and offers a scope for using cross-specific target genes for mungbean improvement. This review focuses on the effective utilization of cross-species cultivated and wild relatives as well as their omics resources for breeding multiple disease-resistant mungbean cultivars.

One pot synthesis of Cu–Ni–S@Ni foam for the simultaneous removal and detection of norfloxacin

The residual antibiotics in the environment will pose a threat to the environment and human health. Thus, it is imperative to develop a smart water treatment material to remove and detect antibiotics from aqueous environment simultaneously. In this study, magnetic Cu–Ni–S@Ni foam was synthesized by liquid phase vulcanization method to in-situ load Cu–Ni–S nanostructures on the surface of Ni foam. The novelty of this material is the combination of adsorption-flocculation technology and semi-quantitative detection technology. Batch experiments showed that Cu–Ni–S@Ni foam has a high removal rate of norfloxacin (NOR) (96.92%), wide pH adaptability (pH = 4.0–10.0) and strong ion interference resistance (0.1–100 mmol/L). According to the Langmuir isotherm, the removal capacity can reach 417.4 mg/g at 25 °C, which is much higher than that of other water treatment agents reported in most studies. Characterization analysis indicated that the main removal mechanisms are surface complexation, cation bridging, electrostatic attraction, precipitation and flocculation. Transmission FTIR detection experiments showed that NOR on Cu–Ni–S@Ni foam has easily recognizable FTIR fingerprints; the intensity of characteristic peaks roughly reflects the concentration information of NOR to some extent. This semi-quantitative detection method, requiring simple operation without the fabrication of KBr tablet, has a wide linear range (5–100 mg/L) and a low limit of detection (4.6 mg/L). Therefore, Cu–Ni–S@Ni foam can be used for simultaneous removal and semi-quantitative detection of NOR in wastewater. It has potential application value in wastewater treatment and water quality monitoring.

Different Adsorption Behaviors and Mechanisms of Anionic Azo Dyes on Polydopamine–Polyethyleneimine Modified Thermoplastic Polyurethane Nanofiber Membranes

Considering the notable mechanical properties of thermoplastic polyurethane (TPU), polydopamine–polyethyleneimine (PEI) -modified TPU nanofiber membranes (PDA/PEI-TPU NFMs) have been developed successfully for removal of anionic azo dyes. The adsorption capacity of PDA/PEI-TPU NFMs was evaluated using three anionic dyes: congo red (CR), sunset yellow (SY), and methyl orange (MO). Interestingly, it exhibited different adsorption behaviors and mechanisms of CR on PDA/PEI-TPU NFMs compared with SY and MO. With the decrease in pH, leading to more positive charges on the PDA/PEI-TPU NFMs, the adsorption capacity of SY and MO increased, indicating electrostatic interaction as a main mechanism for SY and MO adsorption. However, wide pH range adaptability and superior adsorption have been observed during the CR adsorption process compared to SY and MO, suggesting a synergistic effect of hydrogen bonding and electrostatic interaction, likely as a critical factor. The adsorption kinetics revealed that chemical interactions predominate in the CR adsorption process, and multiple stages control the adsorption process at the same time. According to the Langmuir model, the maximum adsorption capacity of CR, SY and MO were reached 263, 17 and 23 mg/g, respectively. After six iterations of adsorption–desorption, the adsorption performance of the PDA/PEI-TPU NFMs did not decrease significantly, which indicated that the PDA/PEI-TPU NFMs have a potential application for the removal of CR molecules by adsorption from wastewater.

Research on the Mechanism of Cathode Failure of Lead-Acid Battery Under Extreme Conditions

Abstract Lead-acid batteries have the advantages of wide temperature adaptability, large discharge power, and high safety factor. It is still widely used in electrochemical energy storage systems. In order to ensure the application of batteries under extreme working conditions, it is necessary to explore the degradation mechanism. In this study, the experimental battery is the same type of 2 V-500 Ah lead-acid battery produced by different manufacturers. First, the three batteries were subjected to the same high temperature and high current cycle thermal shock test (50 °C, 0.2 C current) combined with quantitative analysis of plate active material and microscopic morphology observation. In addition, numerical studies are used to simulate the distribution of electrical parameters on the positive plate and grid. The above three parts are combined to study the causes of accelerated battery decay under high temperature and high current conditions. The results showed that the extreme conditions aggravated the non-uniformity of the potential distribution of the positive plate and the grid, which increased by 10.62% and 51.59%, respectively. The battery with higher remaining capacity has more α-PbO2 in the active material, and has a considerable amount of β-PbO2. The battery with the smallest remaining capacity has the largest volume of active material. The volume of the material affects the electrochemical reaction surface area. The larger the volume of the material, the higher the resistance of that part, which will lead to an increase in the overall impedance of the battery.

Registration of Arkot 1005, Arkot 1015, and Arkot 1019 cotton germplasm lines

AbstractArkot 1005 (Reg. no. GP‐1127, PI 700852), Arkot 1015 (Reg. no. GP‐1128, PI 700853), and Arkot 1019 (Reg. no. GP‐1129, PI 700854) are conventional cotton (Gossypium hirsutum L.) germplasm lines released by the Arkansas Agricultural Experiment Station in April 2022. The lines were compared with UA48 and UA222 (check cultivars) in replicated field tests at four Arkansas sites over 5 yr. Over these tests, lint yields of the three lines did not differ from each other and were greater than UA48. Lint yield of Arkot 1015 was greater than UA222, while lint yields of Arkot 1005 and Arkot 1019 were equal to UA222. Performance in regional tests indicates that the lines have wide adaptation. The lint yields of Arkot 1015 and Arkot 1019 were attributed to producing more (and smaller) seed per area and less lint per seed (lint index) than UA222. Arkot 1005 produced higher lint index than the other two lines and the two check cultivars. Seed per area for Arkot 1005 was higher than UA48, equal to UA222, and lower than Arkot 1015 and Arkot 1019. Leaf pubescence, stem pubescence, and bract trichome density of the three lines were intermediate between UA222 and UA48. All three lines displayed high resistance to bacterial blight and were similar to UA222 and UA48 in their response to other diseases. Arkot 1015 was more resistant to tarnished plant bug (TPB) than Arkot 1005, Arkot 1019, and UA48, but all were more susceptible to TPB than UA222. Compared with the other lines and check cultivars, Arkot 1005 and Arkot 1019 displayed higher and lower, respectively, resistance to seed deterioration. Fiber quality of Arkot 1019 was superior to UA48, UA222, and the other lines. Fiber quality of Arkot 1005 and Arkot 1015 was superior to UA222.