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- Data for: Development of a process for obtaining non-mutagenic madder root (Rubia tinctorum) extract for textile dyeingsupplementary data to "Development of a process for obtaining non-mutagenic madder root (Rubia tinctorum) extract for textile dyeing"
- Data for: Suitability assessment of different hemp (Cannabis sativa L.) varieties to the cultivation environmentHcrops_Setup.exe is the installation package of the model Hcrops. Hcrops simulates a hemp crop and has been developed, tested and calibrated using the SEMoLa language and simulation environment (Danuso and Rocca, 2014). It is a dynamic, mechanistic model, with daily time step, considering the hemp phenological development, the soil water balance and the irrigation requirement depending on a water stress factor. Moreover, it calculates the yield reduction due to water stress following the method of evapotranspiration of FAO (Doorembos and Kassam,1979) and the seed oil content (Oil) depending on the average daily maximum temperature of the flowering-maturity period (Atmax). A good relationship has been found in experimental data of this work, so the model implemented the relationship: Oil = 115 - 3.1 · Atmax Soil moisture is calculated as the balance among inputs (rainfall and irrigation) and outputs (actual evapotranspiration Eta and drainage). The soil is considered a single layer with the depth of the roots. Roots increase depth at a rate depending on temperature and till to the flowering stage. Root deepening could be limit also by a physical limit in the soil.
- Data for: A Mass Spectrometry and Principle Component Analysis on the Effect of Auxiliary Energy to the Terpenes Extraction from Andrographis PaniculataData for maceration, ultrasonic assisted extraction and microwave assisted extraction of terpene from Andrigraphis paniculata.
- Data for: Comparative study of changes in composition and structure during sequential fungal pretreatment of non-sterile lignocellulosic feedstocksAppendix Comparative study of changes in composition and structure during sequential fungal pretreatment of non-sterile lignocellulosic feedstocks: supplementary material
- Data for: Sugar beet pulp as raw material for particleboard productionSugar beet pulp as raw material for particleboard production
- Supplementary Data for: Identification and analysis of tRNA Genes provide new insights into oil biosynthesis of tung tree (Vernicia fordii)These were the supplementary data for this study.
- Data for: Authentication of the naturalness of wintergreen (Gaultheria genus) essential oils by gas chromatography, isotope ratio mass spectrometry and radiocarbon assessmentThis dataset includes IRMS values and chemical compositions of the 74 samples used for this study. These data were used to establish the values described in Table 1 and Table 2. It also includes detailed calculations of the biosourced carbon percentage listed in table 3 of the article.
- Data for: Influencing the properties of LigninPU films by changing copolyol chain length, lignin content and NCO/OH mol ratioData submitted for Industrial Crops and Products journal with manuscript submission
- Data for: Effect of nitrogen and plant development phases on the content and chemical composition of essential oil of summer savory (Satureja hortensis L.) cv. Saturn cultivated for industrial useThe data obtained impact the effect of nitrogen and plant development phases on content essential oil and chemical composition of essential oil from summer savory cv. Saturn cultivated for used in the food, cosmetics and pharmaceutical industries . Environmental factors such as mineral nutrition as well as plant ontogeny are the major determinants of the quantity and quality of essential oil (EO) in medicinal and herbal plants.
- Data for: Candidate quantitative trait loci and genes for fiber quality in Gossypium hirsutum L. detected using single- and multi-locus association mappingSupplementary materials Table S1. Information on 196 upland cotton accessions Table S2. Summary of SNPs, PIC, gene diversity, and LD decay (Yuan et al., 2018) Table S3. The significant SNPs for fiber quality detected with the values of seven environments (including BLUP) and the six models Table S4. Annotation of genes related to fiber quality and their expression in different tissues Table S5. Candidate genes containing or nearby (<5 kb) significant SNPs Table S6. The correlation between fiber quality and cottonseed nutritional traits Table S7. The shared genes between fiber quality and cottonseed nutritional traits Table S8. All the specific primers for the selected genes and the intro-reference gene UBQ7. Figure S1. LnP(K) and Ln(DK) values plotted from 1 to 20. (a) LnP(K) (mean +- SD) values plotted from 1 to 20. (b) Ln(DK) values plotted from 1 to 20. Figure S2. Population structure of the 196 accessions. (a) UPGMA tree based on Nei’s genetic distances. The color of the tree shows two subpopulations, whereas the elliptic curves with four colors show four subpopulations. (b) Heatmap for Kinship analysis of 196 accessions based on genotype. Figure S3. A heatmap of the expression levels of 245 candidate genes in root, stem, leaf, torus, petal, stamen, pistil, calycle, and ovules at 1, 3, 5, 10, 20, 25, and 35 days post anthesis (dpa), and the fibers at 5, 10, 20, and 25 dpa. The 89 candidate genes that are specifically expressed in fiber or ovule are denoted by “#.” Figure S4. The relative expression level of the 11 candidate genes in the different stages of ovule development (1, 3, 5, 10, 20, 25, 30, 35 days post anthesis).
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