农学最新文献

Flax is considered to be one of the most significant dual-purpose crops for oil and fiber production in Egypt and worldwide. Biofertilizers have a substantial impact on various metabolic processes, including increased photosynthesis, endogenous hormone levels, ion absorption, nucleic acid synthesis, and protein synthesis. These factors collectively contribute to the growth and development of plants. Therefore, this study aims to investigate how three biofertilizers (Algae extract, CMS as a by-product of yeast, and Metalosate multi minerals as amino acids) can enhance both the quantity and quality of flax seed yield under sandy soil conditions. Two field experiments were conducted at the Experimental Station of National Research Centre in Nubaria District, Behira Governorate, Egypt during two seasons (2021/2022) using a randomized complete block design (RCBD). The results revealed significant differences among all tested biofertilizers in terms of various characteristics studied in flax. Foliar application of algae extract at a rate of 1.50 ​mL/L resulted in an increase in seed yield (ton/ha) by 26.69% & 19.89%, straw yield (ton/ha) by 8.08% & 17.12%, and oil yield (kg/ha) by 47.72% & 33.69% compared to the control group during both seasons respectively. Foliar applications of algae extract at a rate of 1.5 ​mL/L along with CMS at a rate of 5 ​mL/L and amino acids at a rate of 1.5 ​mL/L demonstrated significantly higher macronutrient contents (N, P, K), micronutrient contents (Fe, Zn, Mn), seed oil content, and protein content in flax seeds during both seasons. The highest values for seed oil content and protein content % were obtained through foliar application of amino acids at a rate of 1.50 ​mL/L. It can be concluded that foliar sprays with these biofertilizers effectively improved flax performance by increasing seed straw and oil yields, nutrients oil, protein and fatty acids seeds contents.

The manuscript explores the complex interplay between groundnut genotypes, salt tolerance and hormonal influence, shedding light on the dynamic responses of three specific groundnut genotypes, KDG-128, TG-37 ​A and GG-20, to salt treatments and gibberellic acid (GA₃). The study encompasses germination, plant growth, total protein content and oil content as key parameters. Through comprehensive analysis, it identifies TG-37 ​A and KDG-128 as salt-tolerant genotypes, and GG-20 as salt-susceptible genotypes, which highlighting the potential for targeted breeding efforts to develop more resilient groundnut varieties. Moreover, the quantification of protein and oil content under different treatments provides vital data for optimizing nutritional profiles in groundnut cultivars. Principal Component Analysis (PCA) underscores the significance of the first principal component (PC1) in explaining the majority of variance, capturing primary trends and differences in plant length. Analysis of Variance (ANOVA) and hierarchical analysis confirm the presence of statistically significant differences in protein and oil content among the genotypes. Pearson's correlation coefficient matrix analysis reveals strong positive correlations between plant length and protein content, plant length and oil content, and a moderately positive correlation between protein content and oil content. These findings provide valuable insights into groundnut physiology, salt tolerance, and nutritional composition, with implications for future research in sustainable agriculture and crop improvement.