The interaction effects of different fertilisation regimes and weather variability on crop yield is a challenge that requires long-term investigation. Therefore, yield data for spring barley (SB) in an agricultural long-term field experiment, established in 1963 in Müncheberg, northeast Germany, were analysed to reveal the effects of 21 fertiliser regimes and different weather conditions on SB yields. SB yields were significantly affected by fertilisation regimes (11%), annual weather conditions (55%) and their interaction effect (8%). Mineral N fertilization decreased overall yield variability across seasons as compared to no fertilization and organic fertilization regimes showed higher yield variability. A suitable combined application of mineral nitrogen and organic fertiliser was found to be an effective way to produce higher SB yields than the application of either mineral nitrogen or organic fertiliser alone. A Bayesian linear regression model showed total precipitation during the growing season (April–July) positively affected on SB yields when high mineral N was supplied. At the early growth stage, a precipitation rate (March) and temperature (April or sowing day) negatively affected on SB yield.

To compare how different analytical methods explain crop yields from a long-term field experiment (LTFE), we analyzed the grain yield of winter wheat (WW) under different fertilizer applications in Müncheberg, Germany. An analysis of variance (ANOVA), linear mixed-effects model (LMM), and MP5 regression tree model were used to evaluate the grain yield response. All the methods identified fertilizer application and environmental factors as the main variables that explained 80% of the variance in grain yields. Mineral nitrogen fertilizer (NF) application was the major factor that influenced the grain yield in all methods. Farmyard manure slightly influenced the grain yield with no NF application in the ANOVA and M5P regression tree. While sources of environmental factors were unmeasured in the ANOVA test, they were quantified in detail in the LMM and M5P model. The LMM and M5P model identified the cumulative number of freezing days in December as the main climate-based determinant of the grain yield variation. Additionally, the temperature in October, the cumulative number of freezing days in February, the yield of the preceding crop, and the total nitrogen in the soil were determinants of the grain yield in both models. Apart from the common determinants that appeared in both models, the LMM additionally showed precipitation in June and the cumulative number of days in July with temperatures above 30 °C, while the M5P model showed soil organic carbon as an influencing factor of the grain yield. The ANOVA results provide only the main factors affecting the WW yield. The LMM had a better predictive performance compared to the M5P, with smaller root mean square and mean absolute errors. However, they were richer regressors than the ANOVA. The M5P model presented an intuitive visualization of important variables and their critical thresholds, and revealed other variables that were not captured by the LMM model. Hence, the use of different methods can strengthen the statement of the analysis, and thus, the co-use of the LMM and M5P model should be considered, especially in large databases involving multiple variables.

Evaluation ofBacillus sp. strains for biological control of gummy stem blight, Didymella bryoniae (Auersw.) in watermelon (Citrullus lanatus) Journals are one of the best online open access journal site in the field of publishing research articles in Agricultural, animal, dairy, food, home, legume Research Journals on a Global platform.

This study evaluates the chemical composition and bioactivities of essential oils extracted from the leaves and twigs of Glycosmis lanceolata growing in a natural forest in Vietnam. gas chromatography–mass spectrometry identified 42 and 43 constituents in the leaf and twig oils, respectively. The main compounds in the leaf oil were (E)-β-caryophyllene (10.2%), β-bisabolene (23.7%), and brevifolin (21.3%), while the twig oil was dominated by β-bisabolene (11.6%) and brevifolin (12.7%). Neither oil exhibited inhibitory effects against two beneficial bacterial strains, Bacillus subtilis and Lactobacillus fermentum. In contrast, both oils showed weak antimicrobial activity against four pathogenic bacteria—Staphylococcus aureus, Salmonella enterica, Escherichia coli, and Pseudomonas aeruginosa—and one yeast, Candida albicans, with IC₅₀ values ranging from 2012 ± 118 to 10,593 ± 557 µg/mL. Notably, the twig oil demonstrated pronounced anti-inflammatory activity via inhibition of nitric oxide production (IC₅₀ = 29.7 ± 2.58 µg/mL), whereas the leaf oil showed no detectable activity within the tested concentrations. Similarly, DPPH radical scavenging assays indicated stronger antioxidant activity for the twig oil compared to the leaf oil. These findings provide new insights into the phytochemistry and bioactivities of G. lanceolata essential oils and may support further investigations into their potential applications.

This study evaluates the chemical composition and bioactivities of essential oils extracted from the leaves and twigs of Glycosmis lanceolata growing in a natural forest in Vietnam. Gas chromatography identified 42 and 43 constituents in the leaf and twig oils, respectively. The main compounds in the leaf oil were (E)-β-caryophyllene (10.2%), β-bisabolene (23.7%), and brevifolin (21.3%). While the twig oil was dominated by β-bisabolene (11.6%) and brevifolin (12.7%). Neither oil exhibited inhibitory effects against two beneficial bacterial strains, Bacillus subtilis and Lactobacillus fermentum. In contrast, both oils showed weak antimicrobial activity against four pathogenic bacteria—Staphylococcus aureus, Salmonella enterica, Escherichia coli, and Pseudomonas aeruginosa—and one yeast Candida albicans, with IC₅₀ values ranging from 2012 ± 118 to 10,593 ± 557 µg/mL. Notably, the twig oil demonstrated pronounced anti-inflammatory activity via inhibition of nitric oxide production (IC₅₀ = 29.7 ± 2.58 µg/mL), whereas the leaf oil showed no detectable activity within the tested concentrations. Similarly, DPPH radical scavenging assays indicated stronger antioxidant activity for the twig oil compared to the leaf oil. These findings provide new insights into the phytochemistry and bioactivity of G. lanceolata essential oils and highlight their potential for further development in pharmaceutical, cosmetic, and food applications.

Effects of the microbial organic fertilizer and plant density on growth, development and yield of roselle (Hibiscus sabdariffa L.) in Central Vietnam Journals are one of the best online open access journal site in the field of publishing research articles in Agricultural, animal, dairy, food, home, legume Research Journals on a Global platform.