The present study explored the nutritional composition, phytochemicals analysis, and antioxidant capacity of two indigenous varieties of red and green water chestnut (WCN) fruit grown in Pakistan. Accordingly, this study was designed to investigate the proximate composition (moisture, ash, fiber, proteins, fat, and energy), physicochemical properties (pH, °Brix, and glycemic index), minerals, and vitamins. The methanolic extracts of WCN fruits were explored for phytochemicals (total phenolic and flavonoid content), and antioxidant potential was examined in vitro by 1,1-diphenyl-2-picrylhydrazyl radical scavenging capacity (DPPH) and Ferric reducing antioxidant power (FRAP). Quantitative determination of mineral (sodium, potassium, calcium, phosphorus, iron, manganese, copper, and zinc) and vitamin (vitamin C, vitamin B6, vitamin B2, vitamin B3, vitamin A, and β-Carotene) composition was also assessed. Based on the findings, the proximate compositions of WCN green and red varieties varied greatly as WCN green contained significantly higher protein (1.72%), fat (0.65%), dietary fiber (2.21%), moisture (70.23%), ash (1.16%), and energy content (112.8 Kcal) than WCN red. In WCN green, the macro-micromineral concentrations were significantly higher than WCN red. Among the minerals analyzed, potassium was the most abundant mineral found in both varieties. Levels of vitamin C, B6, A, and β-Carotene were significantly higher in WCN green. In this study, methanolic extract showed higher extraction efficiency than acetone, ethanol, and distilled water. WCN green had a significantly higher quantum of total phenolic (91.13 mg GAE/g) and total flavonoid (36.6 mg QE/g) and presented significantly higher antioxidant activity than the WCN red. This study showed that, among both varieties, WCN green extract has therapeutic potential against free radical mediated health conditions and suggested the potential use of this fruit as a source of natural antioxidants in nutraceuticals.

The dry common bean is an important grain legume used for human consumption worldwide. In Eastern Africa, Burundi has a significantly high per capita consumption of the crop. There has been significant research on the underlying agronomic traits of dry biofortified common beans, such as disease resistance. However, there is limited systematic information describing the sensory properties of these bean varieties, particularly in Burundi. This study evaluated the sensory properties of eight cooked dry biofortified common bean varieties using a panel of fifty-four (fourteen plus forty) persons for descriptive sensory evaluation and consumer acceptability tests. Kinure, a traditional non-biofortified common bean variety, was the control. Based on differences in the attributes of the bean varieties, two-dimensional principal component analysis (PCA) explained 58.94% of the variation. The attributes of astringency, consistency, color, juiciness, beany aroma, stickiness, and bean size contributed mostly to the differentiation of the bean varieties. A 95% PCA prediction ellipse displayed stronger congruity in the descriptive attributes of NUV130, NUV91, RWV1129, RWV1272, and RWR2245. In contrast, a deviation in the descriptive attributes of MAC44, MAC70, and RWR2154 was discerned. Regarding consumer acceptability tests, the varieties RWR2245 and MAC44 garnered significantly higher (p < .05) sensory scores on color, aroma, taste, texture, and overall acceptability. Therefore, the physical traits of cooked biofortified common bean varieties are a major contributor to varietal disparities in consumer acceptance studies. These parameters can greatly impact the adoption of dry biofortified common beans and could be of concern to common bean breeders.

Industrial hemp (Cannabis sativa L.) has great application potential in heavy metal-polluted soils owing to its safe non-food utilization. However, the fate of heavy metals in different varieties of hemp planted in strongly contaminated natural soils remains unknown. Here, we investigated the growth, heavy metal uptake, distribution, and transfer of nine hemp varieties in soils strongly contaminated with Cu, As, Cd, and Pb. Hemp variety and metal type were the main factors affecting the growth and heavy metal uptake in hemp. The nine hemp varieties grew well in the contaminated soils; however, differences existed among the varieties. The biomass of Z3 reached 5669.1 kg hm-1, whereas that of Yunma No. 1 was only 51.8 % of Z3. The plant height, stalk diameter, and stalk bark thickness of Z3 were greater than those of the other varieties, reaching 168 cm, 9.2 mm, and 0.56 mm, respectively. Permanova\'s analysis revealed that the total effects of Cu, As, Cd, and Pb on the growth of the nine hemp varieties reached 60 %, with leaf As having the greatest effect, reaching 16 %. , Even in strongly contaminated soils, the nine varieties showed poor Cu, As, Cd, and Pb uptake. Most of the Cu, As, Cd, and Pb were retained in the root, reaching 57.7-72.4, 47.6-64.7, 76.0-92.9, and 70.0-87.8 %, respectively. Overall, the Cu, As, Cd, and Pb uptake of Wanma No.1 was the highest among the nine varieties, whereas that of Guangxi Bama was the lowest. These results indicate that hemp is a viable alternative for phytoattenuation in soils contaminated with heavy metals because of its ability to tolerate and accumulate Cu, As, Cd, and Pb in its roots, and Guangxi Bama is superior to the other varieties considering the safe utilization of hemp products.

Among tropical fruit trees, coconut holds significant edible and economic importance. The natural growth of coconuts faces a challenge in the form of low temperatures, which is a crucial factor among adverse environmental stresses impacting their geographical distribution. Hence, it is essential to enhance our comprehension of the molecular mechanisms through which cold stress influences various coconut varieties. We employed analyses of leaf growth morphology and physiological traits to examine how coconuts respond to low temperatures over 2-hour, 8-hour, 2-day, and 7-day intervals. Additionally, we performed transcriptome and metabolome analyses to identify the molecular and physiological shifts in two coconut varieties displaying distinct sensitivities to the cold stress. As the length of cold stress extended, there was a prominent escalation within the soluble protein (SP), proline (Pro) concentrations, the activity of peroxidase (POD) and superoxide dismutase (SOD) in the leaves. Contrariwise, the activity of glutathione peroxidase (GSH) underwent a substantial reduction during this period. The widespread analysis of metabolome and transcriptome disclosed a nexus of genes and metabolites intricately cold stress were chiefly involved in pathways centered around amino acid, flavonoid, carbohydrate and lipid metabolism. We perceived several stress-responsive metabolites, such as flavonoids, carbohydrates, lipids, and amino acids, which unveiled considerably, lower in the genotype subtle to cold stress. Furthermore, we uncovered pivotal genes in the amino acid biosynthesis, antioxidant system and flavonoid biosynthesis pathway that presented down-regulation in coconut varieties sensitive to cold stress. This study broadly enriches our contemporary perception of the molecular machinery that contributes to altering levels of cold stress tolerance amid coconut genotypes. It also unlocks several unique prospects for exploration in the areas of breeding or engineering, aiming to identifying tolerant and/or sensitive coconut varieties encompassing multi-omics layers in response to cold stress conditions.

The productivity and production of chickpeas can be improved by using access-improved varieties that are suitable for the specific agroecology. However, the foundation for adopting new technology is participatory variety selection (PVS). Therefore, this study aimed to identify the best adaptively improved chickpea varieties in northwestern Ethiopia based on the preferences of farmers in Adet and Fogera Districts. The experiment consisted of ten improved chickpea varieties (Desi and Kabuli) that were evaluated in three replications using the mother baby trail approach, including on-station and on-farm evaluations. According to this trail, the highest grain yield among different types of chickpeas was observed in the varieties Teketay (2327.8 kg/ha), Dalota (2175.9 kg/ha), and Geletu (2123.6 kg/ha). Among the Kabuli types, Koka (2813.2 kg/ha) and Dhera (2325.7 kg/ha) showed the highest mean values of grain yield. At Adet location, the varieties Teketay (2772.2 kg/ha), Dalota (2459.7 kg/ha), and Geletu (2270.8 kg/ha) produced the highest grain yield. Similarly, Koka (3195.8 kg/ha), Dhera (2604.2 kg/ha), and Ejere (2601.4 kg/ha) were the top-yielding Kabuli chickpea varieties. Farmers from Adet location in Senkengha Kebele selected three Desi and three Kabuli chickpea varieties, namely Geletu, Teketay, and Dalota, in that order, as well as Koka, Hora, and Ejere. Meanwhile, farmers in Mousobo Kebele identified Koka, Dhera, and Hora from the Kabuli type as the best varieties. The varieties Geletu (1976.4 kg/ha), Dalota (1891.9 kg/ha), and Teketay (1883.3 kg/ha) had the highest mean grain yield at Fogera location. Similarly, in the Kabuli chickpea varieties, the highest mean value of grain yield was obtained from Koka (2430.6 kg/ha) followed by Hora (2097.2 kg/ha), and Dhera (2047.2 kg/ha). Farmers have chosen three of the best Desi and Kabuli chickpea varieties, i.e Geletu, Teketay, and Dalota, and Local check (Shasho) followed by Koka and Ejere at Fogera location, Geina Kebele in that order. In conclusion, the adoption and dissemination of new improved varieties for the new environment can assist the producers such as the farmers for effective chickpea production. This leads to sustainable self-sufficiency of food at the household and country level.

Monitoring nitrogen utilization is crucial in agricultural practices, emphasizing the interrelationship between soil health, nutrient management, and human health. The study was conducted to evaluate the impact of N fertilizer on the nutritional characteristics of diverse S. bicolor varieties, namely Alföldi 1, ES Föehn (Lidea Seeds) with a red pericarp, ES Albanus, Albita, and Farmsugro 180 (all white varieties), the study was conducted in sorghum-producing areas where the crop is non-native. Specifically, the study investigated two soil types: loam clay and sandy soil. Furthermore, the respective varieties were grown under N (27% N CAN) fertilizer conditions, involving 60 kg/ha-1 and 120 kg/ha-1 of the treatment rates applied at each experiment site. We measured the specific element concentration in each sample using the Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES) technology. Certainly, the results demonstrated that the different S. bicolor varieties had unique nutritional characteristics attributed to several factors such as soil type, variety, and treatment, which showed a significance value of (P < 0.05). The findings demonstrated that the treatments had distinct impacts as stimulators and inhibitors for certain elements. Specifically, the application of 120 kg/ha-1 negatively affected the levels of particular elements, such as Ca mg/kg-1, in loam clay and sandy soil. The statistical analysis of trace microelement variance did not show a significance value (P > 0.05) when considering the year factor, which supported the data analysis\'s reliability and accuracy. In summary, to enhance the nutritional value of sorghum grain and supply nutrient-rich food choices for individuals, consider factors such as fertilizer response, nutrient uptake by grain, element mineral accumulation, and advisory variety. Additional research could enhance the nutritional properties of sorghum to provide the required dietary stuff, such as grain processing, which can render sorghum a proper addition to a healthy and balanced human diet.

Watermelon is an important horticultural crop which is grown in warm climate worldwide. However, its production and productivity is low owing to lack of high yielding improved varieties and poor knowledge of using mulches. Therefore, a field experiment was conducted in west Dembia district under irrigation from January to April 2021 to investigate the effect of mulches on growth and fruit yield of watermelon varieties. Factorial combinations of two varieties of watermelon (Crimson Sweet and Sugar Baby) and four types of mulches (black plastic, white plastic, grass mulch and no mulch as control) were arranged in a randomized complete block design with three replications. The remaining necessary agronomic practices and crop management activities were undertaken uniformly. The data presented under this dataset article includes phenological parameters (i.e. Days to 50 % germination, Days to 50 % flowering, and Days to 50 % maturity), growth parameters (i.e. main vine length, number of lateral branches per vine, number of nodes on main vine, and number of leaves on the main vine) and yield and yield component parameters (i.e. Number of total fruit plant-1, number of marketable fruit plant-1,number of unmarketable fruit plant-1, fruit length, fruit diameter, average fruit weight, marketable fruit yield, unmarketable fruit yield and total fruit yield). All the collected data were subjected to analysis of variance (ANOVA) and the analysis was carried out using the SAS version 9.4 software computer program\'s General Linear Model (GLM) procedure [1]. As described in Montgomery [2], the residuals were examined to verify the normal distribution and homogeneous variance model assumptions on the error terms for each response variable. Because the eight treatment combinations were randomized within each block, the independence assumption is valid. When a treatment effect was significant, multiple means comparison was performed at a 5 % level of significance using the least significant difference (Fisher\'s LSD) method to generate letter groupings and correlation analysis was performed using the Pearson correlation procedure found in SAS. This dataset article, therefore gives information about the effects mulching on productivity of watermelon varieties. Additionally, it provides the appropriate and economically feasible type of mulching material for maximized fruit yield of watermelon varieties in the study area or other areas having similar agro ecology. Hence, this information can allow other researchers to review the supplement data, methods, and make detailed analysis, which possibly giving rise to new lines of inquiry. This can also give rise to new collaborations and boost the reputation of the present research data within the scientific community and to make it available to everyone around the subject matter to use as they wish.

The sugar industry, which relates to people\'s livelihood, is strategic and fundamental in the development of agricultural economy. In China, sugar derived from sugarcane accounts for approximately 85% of total sugar production. Mechanization is the \"flower\" of sugarcane industry. As the saying goes \"when there are blooming flowers, there will be sweet honey.\" However, due to limitations in land resources, technology, equipment, organization, and management, mechanization throughout the sugarcane production process has not yet brought about the economic benefits that a mechanized system should provide and has not reached an ideal yield through the integration of agricultural machinery and agronomic practice. This paper briefly describes how to initiate the mechanization of Chinese sugarcane production to promote the sound, healthy, and rapid development of the sugarcane industry, and how to ultimately achieve the transformation of sugarcane breeding in China and the modernization of the sugarcane industry from three perspectives, namely, requirements of mechanized production for sugarcane varieties, breeding strategies for selecting new sugarcane varieties suitable for mechanized production, and screening for sugarcane varieties that are suitable for mechanization and diversification in variety distribution or arrangement in China. We also highlight the current challenges surrounding this topic and look forward to its bright prospects.

Foxtail millet (Setaria italica (L.) P. Beauv) is an important food and forage crop that is well adapted to nutrient-poor soils. However, our understanding of how different LN-tolerant foxtail millet varieties adapt to long-term low nitrogen (LN) stress at the physiological and molecular levels remains limited. In this study, two foxtail millet varieties with contrasting LN tolerance properties were investigated through analyses of physiological parameters and transcriptomics. The physiological results indicate that JG20 (high tolerance to LN) exhibited superior biomass accumulation both in its shoots and roots, and higher nitrogen content, soluble sugar concentration, soluble protein concentration, zeatin concentration in shoot, and lower soluble sugar and soluble protein concentration in its roots compared to JG22 (sensitive to LN) under LN, this indicated that the LN-tolerant foxtail millet variety can allocate more functional substance to its shoots to sustain aboveground growth and maintain high root activity by utilizing low soluble sugar and protein under LN conditions. In the transcriptomics analysis, JG20 exhibited a greater number of differentially expressed genes (DEGs) compared to JG22 in both its shoots and roots in response to LN stress. These LN-responsive genes were enriched in glycolysis metabolism, photosynthesis, hormone metabolism, and nitrogen metabolism. Furthermore, in the shoots, the glutamine synthetase gene SiGS5, chlorophyll apoprotein of photosystem II gene SiPsbQ, ATP synthase subunit gene Sib, zeatin synthesis genes SiAHP1, and aldose 1-epimerase gene SiAEP, and, in the roots, the high-affinity nitrate transporter genes SiNRT2.3, SiNRT2.4, glutamate synthase gene SiGOGAT2, fructose-bisphosphate aldolase gene SiFBA5, were important genes involved in the LN tolerance of the foxtail millet variety. Hence, our study implies that the identified genes and metabolic pathways contribute valuable insights into the mechanisms underlying LN tolerance in foxtail millet.

Acoustic system and machine vision were used to evaluate the effects of different harvest dates on the quality and sensory attributes of exotic apple varieties of North Western Himalayan. Gala Redlum (V1) was harvested at 110 (H1), 120 (H2) and 130 (H3) Days from Full Bloom (DFFB); Red Velox (V2) and Super Chief (V3) were harvested at 130 (H1), 140 (H2) and 150 (H3) DFFB. Highest acoustic coefficient (21.13) and firmness (20.72 lbs) recorded at first harvest date (H1) decreased significantly (p ≤0.05) (19.86 to 17.90 lbs) at second harvest (H2) and (17.77 to 16.80 lbs) at third harvest date. Highest starch iodine rating (3.72); anthocyanin content (24.81 mg/100 g); total soluble solids (12.10 %); total sugars (8.75 %) were recorded at H3 in all the varieties. For Gala Redlum (V1) 130 DFFB and for Red Velox (V2) and Super Chief (V3) 150 DFFB were predicted as suitable harvesting dates for table consumption.