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Analysis of sweet corn nutritional values using multivariate statistical methods
103-108Views:752Processing large amounts of data provided by automated analytical equipment requires carefulness. Most mathematical and statistical methods have strict application conditions. Most of these methods are based on eigenvalue calculations and require variables to be correlated in groups. If this condition is not met, the most popular multivariate methods cannot be used. The best procedure for such testing is the Kaiser-Meyer-Olkin test for Sampling Adequacy. Two databases were examined using the KMO test. One of them resulted from the sweet corn measured in the scone of the study, while the other from the 1979 book of János Sváb. For both databases, MSA (measures sampling adequacy) was well below the critical value, thus they are not suitable e.g. for principal component analysis. In both databases, the values of the partial correlation coefficients were much higher than Pearson’s correlation coefficients. Often the signs of partial coefficients did not match the signs of linear correlation coefficients. One of the main reasons for this is that the correlation between the variables is non-linear. Another reason is that control variables have a non-linear effect on a given variable. In such cases, classical methods should be disregarded and expert models better suited to the problem should be chosen in order to analyse the correlation system.
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Balancing chemical fertiliser application for optimal maize yield and environmental safety
65-76Views:181Chemical fertilisers play a crucial role in enhancing maize productivity by supplying essential nutrients, particularly nitrogen, phosphorus, and potassium. However, excessive and imbalanced application of these fertilisers may result in soil degradation and environmental pollution. This review presents a comprehensive, bibliometric, and literature-based analysis of research on the balanced use of chemical fertilisers in maize production, spanning 2000 to 2025, and uses VOSviewer 1.6.20 as the analytical tool. The study analysed data from the Web of Science to examine publication trends, the configuration of keyword networks, and the dynamics of international research collaborations. The Mann-Kendall test revealed a significant positive trend (p = 0.001) in the volume of publications focused on chemical fertiliser balancing, with a coefficient of determination (R²) of 0.5153. A total of 549 relevant studies were identified globally, with no language restrictions applied, indicating sustained growth in research output over time. Field studies demonstrate that reducing chemical fertiliser use by up to 25% when combined with biological amendments can maintain or enhance yields across diverse agroecological conditions. The emphasis is placed on sustainable fertilisation practices that balance productivity and environmental safety, highlighting challenges and future directions for adoption. Balanced fertiliser management is crucial for sustainable maize production systems, which simultaneously contribute to food security and environmental conservation. This study is significant as it systematically maps the evolution and current state of research on balanced chemical fertiliser use in maize production, providing valuable insights into publication trends, collaborative networks, and practical agronomic outcomes. Despite the progress, there remains a significant gap in region-specific guidelines and long-term impact assessments of integrated fertiliser management practices, which future research should address to optimise sustainable maize production tailored to diverse agro-ecological zones.
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Maize stem diameter variation under precision drip irrigation and foliar micronutrient treatments
87-92Views:146Foliar application of micronutrients has gained research interest due to the growing need to efficiently and precisely deliver plant nutrients at the most critical growth stages. Stem diameter has proved to have a positive significant correlation with yield across many crop species such as maize, due to its vigorous and robust ability to transport water and micronutrients. Therefore, this study examined the effects of precision drip irrigation and foliar application of micronutrients on stem diameter of FAO490 maize hybrid. A field experiment laid as a split–split-plot design with treatments consisting of foliar treatment and control under irrigation and non-irrigation was conducted. Stem diameter data were collected at the 12-leaf stage (V12), tasseling stage, R1, and R6. ANOVA results showed that precision drip irrigation significantly influenced stem diameter (P<0.001), while foliar fertilisation and its interaction with precision drip irrigation showed meaningful effects. The mean stem diameter under precision drip irrigation was 26.96 mm compared to non-irrigated conditions (24.24 mm). Foliar fertilisation treatment had a higher mean stem diameter (26.63 mm) compared to control (24.57 mm), representing an 8.4% growth difference. Foliar fertilisation was more effective under precision drip irrigation with the mean stem diameter significantly high (28.83 mm) for treatment over the control (25.08 mm) thus a 14.9% stem diameter enhancement. Foliar fertilisation under non-irrigated conditions recorded a 1.6% stem diameter increase between treatment (24.43 mm) and control (24.05 mm). This study indicates that precision drip irrigation primarily influenced stem diameter growth and development, however foliar fertilisation further enhanced stem growth under adequate water supplementation, suggesting a positive significant synergistic effect under precision drip irrigated conditions.
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Performance of agricultural factors on yield of sweet corn (Zea mays L. Saccharata ) - A review
143-156Views:1411Sweet corn producers and industries require more reliable cultivars which could be accomplished by hybrid breeding. However, progressive phenological growth may be affected by different factors. In this paper, we analyze the key factors that determine the growth and yield of sweet corn. Environmental factors such as temperature and photoperiod were strong determinants of dates of flowering and harvest which are often crucial to yield in diverse climates and agricultural systems, besides the country's pedological conditions, especially soil fertility, affected phenological development. The effectiveness of fertilization in improving sweet corn growth performance was significantly influenced by the soil characteristics, the water supply, the genotype, and the agrotechnological factors. Therefore, genetic improvement of hybrids should be incorporated into the climate and soil elements to stabilize sweet corn yields in various agroecosystems. Decisions made in the sowing period are very significant, as up to 30% of the obtained yield may depend on making the proper choice. Deviation from the optimum date (either early or late sowing) may decrease yield. When deciding about the sowing date of maize, one needs to consider climate, soil quality, geographical location, temperature, weed infestation, sowing seed quality, and the ripening time of the hybrid to be produced.
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Study of drought stress correlation on yield and yield components of maize cultivars (Zea mays L.)
67-73Views:810This article was investigated to study the correlation and analysis of drought stress regression on maize cultivars' yield and components. The variance analysis results showed a significant difference between drought stress levels in terms of plant height, total dry weight and number of seeds per row, the total weight of cob, grain yield, harvest index, stem diameter, and cob weight with protective leave. Also, there was a significant difference in ear weight without protective leaves, ear diameter, ear length, plant weight, 100-seed weight, and seed per ear on hybrid treatments. There were statistically significant differences between cultivars in plant height, leaf area, ear diameter, ear length, number of seeds per row, number of seeds per ear, the total weight of cob wood, 100-seed weight, harvest index, plant dry weight. The results of the correlation of traits for the mean levels of drought stress showed a positive and significant correlation between plant yield and plant height, seed per row, ear length and weight of 5 pieces of wood and also with a total weight of cob wood, ear weight with bark showed the highest correlation. There is a significant correlation between leaf area and stem diameter, plant weight, total dry weight at the probability level of 0.05. Correlation coefficients between traits in non-stress conditions showed a positive and significant correlation between grain yield and height, ear length and grain in the row, which was a significant increase compared to stress conditions. The correlation of traits under full stress conditions also showed that the correlation coefficient between cob length trait and positive height was positive and significant. From the study of correlation coefficients between maize traits in non-stress conditions, it can be concluded that the most important components of grain yield are cob length and grain per row. While the correlation coefficients under moisture stress conditions show that the grain trait in the row has a positive and significant correlation with yield, under stress conditions in the cob stage did not show any traits with correlation yield.