Yield Of Sweet Corn Research Articles

Integrative application of silicon and/or proline improves Sweet corn (Zea mays L. saccharata) production and antioxidant defense system under salt stress condition

Silicon (Si) and/or proline (Pro) are natural supplements that are considered to induce plants' stress tolerance against various abiotic stresses. Sweet corn (Zea mays L. saccharata) production is severely afflicted by salinity stress. Therefore, two field tests were conducted to evaluate the potential effects of Si and/or Pro (6mM) used as seed soaking (SS) and/or foliar spray (FS) on Sweet corn plant growth and yield, physio-biochemical attributes, and antioxidant defense systems grown in a saline (EC = 7.14dS m−1) soil. The Si and/or Pro significantly increased growth and yield, photosynthetic pigments, free proline, total soluble sugars (TSS), K+/Na+ratios, relative water content (RWC), membrane stability index (MSI), α-Tocopherol (α-TOC), Ascorbate (AsA), glutathione (GSH), enzymatic antioxidants activities and other anatomical features as compared to controls. In contrast, electrolytes, such as SS and/or FS under salt stress compared to controls (SS and FS using tap water) were significantly decreased. The best results were obtained when SS was combined with FS via Si or Pro. These alterations are brought about by the exogenous application of Si and/or Pro rendering these elements potentially useful in aiding sweet corn plants to acclimate successfully to saline soil.

Yield of sweet corn and sunflower as affected by different cultivation methods and fertilisation schemes

Yield of sweet corn and sunflower as affected by different cultivation methods and fertilisation schemes

Human feces compost as an organic fertilizer for sweet corn cultivation in volcanic soil of Mt. Merapi, Indonesia

Volcanic material sedimentation of Mt. Merapi causes changes in surface soil's physical and chemical properties that reduce soil fertility. The eruption of the mountain also builds volcanic soil layers, which are generally porous and have a low water-holding capacity. The chemical properties of this layer have low nutrient content and organic matter. Solid human feces composted for 30 days has a water content of 51.62%, carbon 15.62%, nitrogen 1.50%, and phosphorus 6.45%. The potential of nutrients possessed by human feces compost has the opportunity to be used as a source of fertilizer for plants because the plant, animal biomass, and human excreta are essential components of material and energy flow in ecosystems. However, the human feces compost as an organic fertilizer has not yet been widely utilized. Therefore, the research aims are to study the potential of sanitized human feces composts to improve the fertility of volcanic soil from Mt. Merapi Indonesia and find its optimum dosage for sweet corn cultivation. Volcanic soil from Mt Merapi was brought to the greenhouse from the mountain area and used as media to cultivate sweet corn plants. The research was conducted using a completely randomized design (CRD) with five treatments consisting of four dosages of human feces compost and one control treatment using cattle manure. The four dosages of composted human feces were applied in the volcanic soil with the dose of 5, 10, 15, and 20 tons/hectare. Organic fertilizer from cattle manure with a dose of 20 tons/hectare was used as a control. The result showed that human feces compost has similar potential as cattle manure (control treatment) in increasing the growth and yield of sweet corn. Furthermore, the result also showed that the optimum dosage of organic fertilizer from human feces compost to increase sweet corn's productivity was 15 tons per hectare. Key words: human feces, soil quality, sweet corn, organic fertilizer, Indonesia

Application of liquid micro compound fertilizer to increase yield and agronomic feasibility of sweet corn

The objective of the research was to determine the appropriate dosage of liquid micro-compound fertilizer on crop yield and agronomic feasibility of sweet corn. This research was carried out in Mojokerto District on DS 2021, using of plot 4 m x 5 m with 10 treatments, using RBD, repeated 4 times. The treatment of liquid micro compound fertilizer (LMC), namely A. 0 kg.ha−1 Urea + 0 kg.ha−1 ZA + 0 kg.ha−1 NPK + 0 l.ha−1 LMC (control), B. 200 kg/ha Urea + 100 kg.ha−1 ZA + 275 kg.ha−1 NPK + 0 l.ha−1 LMC (standard), C. 200 kg.ha−1 Urea + 100 kg.ha−1 ZA + 275 kg.ha−1 NPK + 5 l.ha−1 LMC, D. 200 kg.ha−1 Urea + 100 kg.ha−1 ZA + 275 kg.ha−1 NPK + 10 l.ha−1 LMC, E. 200 kg.ha−1 Urea + 100 kg.ha−1 ZA + 275 kg.ha−1 NPK+15 l.ha−1 LMC, F. 200 kg.ha−1 Urea + 100 kg.ha−1 ZA + 275 kg.ha−1 NPK + 20 l.ha−1 LMC, G. 150 kg.ha−1 Urea + 75 kg.ha−1 ZA + 200 kg.ha−1 NPK+5 l.ha−1 LMC, H. 150 kg.ha−1 Urea+75 kg.ha−1 ZA+200 kg.ha−1 NPK+10 l.ha−1 LMC, I. 150 kg.ha−1 Urea + 75 kg.ha−1 ZA + 200 kg.ha−1 NPK + 15 l.ha−1 LMC, and J. 150 kg.ha−1 Urea + 75 kg.ha−1 ZA + 200 kg.ha−1 NPK + 20 l.ha−1 LMC. The results showed the application of 5 l.ha−1 LMC fertilizer combined with Urea 200 kg.ha−1 + ZA 100 kg.ha−1 + NPK 275 kg.ha−1 (treatment C) obtained the highest cob cornhusks weight of 13.66 t.ha−1 with RAE 120% and R/C ratio 3.13.

Combination of recommended macro fertilizers and solid organic fertilizers for sweet corn on medium land in Inceptisol soil types

One of the horticulture products in Indonesia with a large market potential is sweetcorn, which is greatly influenced by the amount of organic matter at the planting site. The study was carried out in the IP2TP BSIP Malang, from March to July 2022. ANOVA was performed for data analysis using a fully randomized design (RBD) with 9 treatments and 3 replicates, and when there were discrepancies in the results, a DMRT analysis was conducted at a 5% level of confidence. This study aimed to ascertain how organic fertilizer affected sweetcorn yield and growth. The findings demonstrated that treatments variable plant height and leaf count had the highest values. The best results for diameter and cob length were obtained in treatment I with a combination of 1,000 kg/ha of organic fertilizer, 750 kg/ha, and 500 kg/ha, which is one recommended dose of NPK plus 500 kg/ha. In comparison to the control treatment, all treatments with the addition of organic fertilizer demonstrated significant improvements in sweet corn production per hectare. The B/C ratio value of 2.86 supports these findings, demonstrating that the maize production per ha is a plant treated with 1 recommended dose of NPK + organic fertilizer at 500 kg/ha.

Effect of Concentration and Application Interval of Chlorantraniliprole Active Ingredient Insecticide on Attack Intensity of Spodoptera frugiperda J.E Smith (Lepidoptera: Noctuidae) and Yield of Sweet Corn (Zea mays saccaharata sturt) Plants

Sweet corn productivity in the country is still low when compared to productivity abroad, the main factors that cause low corn yields in Indonesia are the use of local varieties, lack of soil fertility coupled with inadequate fertilization and pest and disease attacks. This experiment aims to determine the effect of Concentration and Application Interval of Chlorantraniliprole Active Ingredient Insecticide on the intensity of Spodoptera frugiperda J.E Smith (Lepidoptera: Noctuidae) attack and yield of Sweet Corn (Zea mays saccaharata sturt). The experiment was conducted in Getasan Village, Depok District, Cirebon Regency, in January-April 2023. The research method used a factorial pattern Randomized Group Design consisting of two factors, namely concentration and application interval. The results showed that the concentration and application interval of the active ingredient Chlorantraniliprole had a significant effect on the intensity of Spodoptera frugiperda attack and the yield of sweet corn (Zea mays saccaharata sturt). Chlorantraniliprole concentration of 3 cc/liter with 2 application intervals once a day was able to reduce the intensity of Spodoptera frugiperda attack up to 9.47%. Chlorantraniliprole concentration of 2 cc/liter with 2 application intervals once was able to produce 10.8 kg/plot of corn or equivalent to 19.2 ton/h (80% effective land).

Effect of Potassium Solubilizing Bacteria (KSB) on the Performance of Sweet Corn (Zea mays L. saccharata) in Potassium Sufficient Soils of Semi-arid Tropic

An experiment was conducted on potassium sufficient sandy loam soil (Alfisols) to evaluate the impact of potassium solubilizing bacteria (KSB) on the performance of rabi sweet corn. The study consisted of 10 treatments with different doses of potassium with and without KSB treatment [Seed treatment (ST) + Soil drenching (SD) at Knee height (KH) stage]. Result of this experiment indicated that sweet corn yield was gradually reduced with reduction of recommended dose of potassium (RDK) irrespective of KSB treatment. Amongst all treatments, application of 100% RDK in 2 equal splits at sowing and KH stage + KSB (ST + SD) (T10) resulted in highest growth, yield (19.7 t ha-1) and yield attributes. However, T10 was on par with the result of [100% RDK + KSB (ST) + KSB (SD) at KH stage], (50% RDK at basal + 50% RDK at KH stage), [100% RDK+ KSB (ST) +KSB (SD) at KH stage] and [75% RDK at basal + KSB (ST) +KSB (SD) at KH stage] treatments. Whereas, implication of 25% or 50% reduction of RDK was significantly inferior to 100% RDK. The study revealed that KSB could substitute 25% of RDK supplied to nutrient exhaustive crop like rabi sweet corn without compromising the economic yield in potassium rich alfisols of semi-arid tropic.

Response of sweet corn (Zea mays saccharata L.) to plant spacing and granular organic fertilizer (GOF)

Demand for sweet corn occurs drastically, especially in big cities. One of the limiting factors for the growth of sweet corn plants is the size of the plant population and the nutrient status of the soil. Based on this, it is necessary to increase the yield of sweet corn, among others, by setting the right spacing and applying organic granular fertilizer at the right dose as a source of nutrients. The study was conducted in Mandai, Maros, and South Sulawesi using a randomized block design in factorial. Plant spacing is the first factor (J1=70x20 cm; J2=70x30 cm; J3=70x40 cm). The level of application of granular organic fertilizer is the second factor (G1= 1 t ha-1; G2=2 t ha−1; G3=3 t ha−1). The use of plant spacing and the application of granular organic fertilizers had no significant effect on plant height, number of leaves, leaf area, cob diameter, or number of rows per cob, but had a significant effect. on the parameters of cob length, cob weight without husk, the weight of 100 grains, number of seeds per row, and yield potential of sweet corn. In general, the best growth and yield of sweet corn was obtained at a spacing of 70 x 20 cm with the application of granular organic fertilizer (GOF) 3 t ha-1, namely 12.81 t ha−1.

Growth and Yield Performance of Genotype Sweet Corn (Zea mays L) with Dosage of Trichoderma sp

The aim of the study was to obtain the interaction between the sweet corn genotype and the Trichoderma sp dose. The method used Completely Randomized Block Design with 2 factors and 3 replications. The first factor is genotype : Talenta, Sweet Boy, TLT 29, SBD 2-23, TLSB 3-3 and CMP 3-63. The second factor is dose Trichoderma (20, 25 and 30 ton/ha). The data were analyzed using Anova 5% and if there were significantly different variables, further DMRT test. The results showed that CMP 3-63 genotype with Trichoderma sp 20 tons/ha could increase the weight of the cob without bractea, TLT 29 genotype had a large stem diameter, and the number of rows on the cob was larger. SBD 2-23 genotype higher sweetness. Talenta and Sweet Boy have a greater cob weight without bractea. Trichoderma sp did not significantly affect the growth and yield of sweet corn.

Application of inorganic fertilizer NK (18-32) on growth and yield of sweet corn on clay soil

To determine the effectiveness and efficiency of the application of inorganic compound fertilizer NK (18-32) on sweet corn, an experiment was conducted at the experimental garden in Malang, East Java, Indonesia, starting from March to June 2020. The study was arranged in a single-factor RBD with ten treatments and three replications. The treatments were a combination of doses of NK compound fertilizer, a single fertilizer as a comparison, and a control (without fertilizer). Besides control, all treatments were given P fertilizer at a dose of 100 kg/ha. The result showed that doses of 500-750 kg/ha of NK compound fertilizer significantly increased the growth and yield of the sweet corn plant. Each 10 kg dose increase of NK fertilizer will increase the total dry weight of the plant by 1.3055 g and give a yield of 12.57–13.64 tons/ha of fresh cobs. This result is equivalent to the yield of standard N-K single fertilizer (350 kg/ha Urea + 75 kg/ha). The dose of NK compound fertilizer of 125-250 kg/ha was proven to be able to substitute 100% KCl fertilizer (75 kg/ha). The RAE value of 750 kg/ha of NK fertilizer was 105.99 % higher than the standard/comparative single fertilizer. The combination of 125 kg/ha NK fertilizer + 250 kg/ha Urea and 250 kg/ha NK fertilizer + 100 kg/ha Urea, respectively, resulted in a RAE 3.91% and 1.00% higher than the standard fertilizer. Fertilization can improve the quality of sweet corn, namely the level of sweetness increases. NK (18-32) fertilizer doses of 500-750 kg/ha significantly increased the sweetness level of seed corn from 11.17% (without fertilizer) to 15.25-15.25%.

Heat unit requirement of sweet corn under different planting methods and dates in temperate Kashmir, India

In order to investigate the "Effect of Establishment method and Planting date on phenology, yield, and agrometeorological indices for sweet corn," a field experiment was carried out at the Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir Wadura, Sopore experimental farm of the Division of Agronomy, over the course of two sessions in Kharif 2020 and 2021. The experiment had two components: a distinct sowing date with a 20-day interval and two establishment methods (direct seeding and transplanting). The initial planting day was (25th of April, 2nd was 15th of May and third was 5th of June during both the years) Three replications in RCBD were confirmed. Following transplanting with the first date of sowing, direct seeding required the most days to attain different phenological stages and accumulate the most heat units. Transplanting with the initial date of sowing resulted in noticeably greater HUE, HTUE, PTUE, and HyTUE, resulting in the largest green cob and biological yield as compared to other dates of sowing and direct seeding. As a result, given the weather in Kashmir It was discovered that planting on the first day of sowing increased sweet corn yields economically.

Effect of Different Rates and Times of Nitrogen Application on Growth, Yield Attributes and Yield of Sweet Corn (Zea mays L. saccharata) Under South Gujarat Condition

A field experiment was conducted during the rabi season in 2017-18 to study the effect of different rates and times of nitrogen application on growth, yield attributes and yield of sweet corn (Zea mays L. saccharata) under south Gujarat conditions. The experiment was laid out in a Factorial randomized block design (FRBD) with three replications. The factors consisted of four nitrogen levels i.e., 90 kg ha-1 (N1), 120 kg ha-1 (N2), 150 kg ha-1 (N3) and 180 kg ha-1 (N4) and four treatments of split application i.e., ½ basal + ½ at knee height (T1), ½ basal + ¼ knee height + ¼ tasseling (T2), 1 /3 basal + 1 /3 knee height + 1 /3tasseling (T3), ¼ basal + ½ at knee height + ¼ tasseling (T4). The results revealed that increasing the nitrogen level from 90 (N1) to 180 (N4) kg ha-1 significantly increased the growth attributes viz, plant height, stem diameter, number of leaves, yield attributes viz, number of grains per cob, weight of grains per cob, weight of cob per plant, green cob and fodder yield. Significantly higher green cob (132.94 q ha-1) and fodder yield (307.29 q ha-1) with net return (Rs.258239 ha-1) and benefit: cost ratio of 4.74 was obtained with 180 kg ha-1 nitrogen application. Application of nitrogen in three splits i.e., at ¼ basal + ½ at knee height + ¼ tasseling (T4) recorded significantly higher growth characters viz, plant height, stem diameter, number of leaves, yield attributes viz, number of grains per cob, weight of grains per cob, weight of cob per plant, green cob (126.99 q ha-1) and fodder yield (293.14 q ha-1) with net return (Rs.242739 ha-1) and benefit: cost ratio of 4.47.

Foliar application of enriched banana pseudostem sap influences the nutrient uptake, yield, and quality of sweet corn grown in an acidic soil.

Foliar fertilization is a reliable technique for correcting a nutrient deficiency in plants caused by inadequate nutrient supply to the roots in acid soil. Soluble nutrients in banana pseudostem sap might be effective to supplement chemical fertilizers. However, the limited nutrients in sole banana pseudostem sap as foliar fertilization may not meet-up the nutritional demand of the crop. Field trials were, therefore, conducted with the combination of soil-applied fertilizers with foliar spray of banana pseudostem sap to increase nutrient uptake, yield, and quality of sweet corn planted in acidic soil. Three treatments viz., 100% recommended dose of fertilizers (RD) as control (T1), 75% of RD applied in soil with foliar application of non-enriched banana pseudostem sap (T2), and 50% RD applied in soil with foliar spray of enriched banana pseudostem sap (T3) were replicated four times. The combination of soil-applied fertilizer with foliar spray of enriched banana pseudostem sap (T3) showed a significant increase in leaf area index (11.3%), photosynthesis (12%), fresh cob yield (39%), and biomass of corn (29%) over control. Besides, the 50% RD of soil fertilization with foliar spray of enriched pseudostem sap increased nutrient uptake in addition to an increase in sugar content, phenolic content, soluble protein, and amino acids of corn. Considering the economic analysis, the highest net income, BCR (3.74) and MBCR (1.25) values confirmed the economic viability of T3 treatment over the T1. The results suggest that foliar spray of enriched banana pseudostem sap can be used as a supplementary source of nutrients to enhance nutrient uptake by corn while increasing yield and minimizing chemical fertilizer use in acid soil.

Influence of Nano Zinc Foliar Application on Yield and Economics of Sweet Corn (Zea mays L. saccharata) in Telangana, India

The Field experiment was conducted at College farm, College of Agriculture, Rajendranagar, Hyderabad during rabi season of 2022 on zinc deficient soils to evaluate the effect of nano zinc on growth, yield and quality of sweet corn. The study included 9 treatments with 3 forms of Zn fertilizer viz., ZnSO4, Zn EDTA and Nano Zn. Results of the study indicated that foliar application of Zn EDTA at 5 g L-1 produced significantly highest yield parameters, cob yield (15.5 t ha-1), fodder yield (20.4 t ha-1), while the highest B:C ratio of 2.11 was associated with basal application of ZnSO4 at 25 kg ha-1. Foliar application of Nano Zinc performed significantly superior over control; however, it was not comparable with the most superior treatment (T9). Hence 100% basal application of Zinc could be recommended in Zn deficient soils of Telangana for higher returns.

Influence of Spacing and Nitrogen on Growth and Yield of Kharif Sweetcorn (Zea mays L. saccharata)

A field experiment was conducted during Kharif 2022 at Crop Research Farm, Department of Agronomy, SHUATS, Prayagraj (U.P) on the topic “Influence of Spacing and Nitrogen on growth and yield of Kharif Sweet corn (Zea mays L. saccharatam)”, to study treatments consisting of three levels of Nitrogen viz. 80, 100 and 120 kg/ha with spacing such as 75x10 cm2, 60x20 cm2 and 45x30 cm2. The soil of experimental plot was sandy loam in texture, nearly neutral in soil reaction (pH 7.1), low in organic carbon (0.28 %), available N (225 kg/ha), available P (19.50 kg/ha) and available K (92 kg/ha). There were 9 treatments each being replicated thrice and laid out in Randomized Block Design. The results revealed that treatment 8 (Nitrogen 120 kg/ha + 65x20 cm2) was recorded higher plant height (190.82 cm), higher plant dry weight (81.49 g), maximum number of cobs/plant (2.33), higher seeds/row (41.33), maximum row/cob (14.40), weight of green cob (351.20 g), higher green cob yield (4.15 t/ha), higher stover yield (4.59 t/ha), harvest index (45.90%), gross returns (1,48,950.00 INR/ha), net returns (1,04,914.00 INR/ha) and benefit cost ratio (2.38).

Sweet corn yield prediction using machine learning models and field-level data

The advent of modern technologies, acquisition of large amounts of crop management and weather data, and advances in computing are reshaping modern agriculture. These advancements have unlocked the power of data by providing valuable insights and more accurate yield predictions. This study utilizes a historic US sweet corn dataset to: (a) evaluate machine learning model performances on sweet corn yield prediction and (b) identify the most influential variables for crop yield predictions. The sweet corn data comprised field-level data for over a quarter-century period (1992–2018) from two primary commercial sweet corn production regions for processing, namely the Upper Midwest and the Pacific Northwest. Several machine learning models were trained to predict field-level sweet corn yield from 67 variables of crop genetics, management, weather, and soil factors. The random forest model outperformed all trained models with the lowest RMSE (3.29 Mt/ha) and the highest Pearson’s correlation coefficient (0.77) between predicted and observed yields. Variable importance plots revealed the top three most influential predictor variables as year (time), location (space), and seed source (genetics). Season long total precipitation and average minimum temperature during anthesis were the two most important weather variables in yield prediction. This is the first report of using fine-scale (time and space) crop data and advanced data analytics to leverage insights into commercial sweet corn production.

Improved Sweet Corn Growth, Yield and rhizosphere Enzymes by Application of Funneliformis mosseae, Piriformospora indica and Yeast Extract

Improved Sweet Corn Growth, Yield and rhizosphere Enzymes by Application of Funneliformis mosseae, Piriformospora indica and Yeast Extract

Unmanned aerial vehicle (UAV) imaging and machine learning applications for plant phenotyping

The availability of timely and accurate information about plant conditions is critical for making informed decisions for maintaining or improving agricultural productivity. However, field data collection is often laborious and time-consuming, underscoring the need for accurate and efficient methods to monitor crop growth and development. Therefore, the objective of this study was to evaluate the effectiveness of combining unmanned aerial vehicle (UAV)-based imaging and machine learning (ML) techniques for monitoring sweet corn (Zea mays var. saccharata) height, biomass, and yield. The study was conducted at the Tropical Research and Education Center (TREC) during the winter (dry) season of 2020–2021 using 16 experimental plots planted with sweet corn. The treatments were set up in a completely randomized block design (RCBD) with four irrigation treatments of 25%, 50%, 75%, and 100% full irrigation with four replications each. Field data collection included plant height, fresh and dry biomass, and yield. In addition, UAV images were collected using the DJI Matrice 210 v2 UAV (SZ DJI Technology Co., Ltd., Shenzhen, China) equipped with a MicaSense RedEdge-MX multispectral sensor (MicaSense, Seattle, WA, USA). Image processing was done with Pix4Dmapper 4.7.5 (Pix4D S.A., Prilly, Switzerland). A crop surface model, representing estimated plant height (UAVH), was calculated based on pixel-to-pixel differences between digital surface and terrain models. A simple linear regression model was used to estimate sweet corn biomass and yield from UAV images estimated plant height (UAVH). In addition, two linear algorithms known as a linear model (LM) and Lasso and elastic-net regularized generalized linear model (GLMNET) and three non-linear ML algorithms including random forest (RF), support vector machine (SVM), and k-nearest neighbor (kNN) were used to predict plant height and biomass. These algorithms were chosen due to their reliable performance and ability to learn complex non-linear relationships. Eight vegetation indices with UAVH were also used to evaluate the ML models' performance to predict plant height and biomass. Results confirmed that UAV imaging could be effectively used to estimate plant height (d = 0.99, r2 = 0.99, and MAE = 5 cm). Estimated fresh and dry biomass from UAV imaging also had good agreements with measured data with r2 values of 0.75 and 0.70, respectively. A statistically significant linear correlation between measured fresh yield at harvest and UAVH was found with d, adjusted r2, and MAE of 0.84, 0.66, and 67 g m−2, respectively. Evaluation of ML algorithms revealed that all models performed well for plant biomass estimation with d values between 0.88 and 0.99. However, the kNN and SVM outperformed all other models for biomass estimation. GMLNET performed better than other models for plant height estimation. Overall, results revealed that UAV imaging and ML models could be effectively used for monitoring plant phenotypic characteristics such as height, yield, and biomass.

Combined Di-Ammonium Phosphate and Straw Return Increase Yield in Sweet Corn

Straw returning is an environmentally friendly method to improve soil health and agricultural productivity by reusing organic waste products. However, fields are often also treated with inorganic fertilizers, and the effect of the interaction between phosphate fertilizer application and straw return on crop yield remains unclear. Therefore, a full-factorial, two-year field experiment was conducted on sweet corn (NARC-16 in late 2021 and Kashmeri-19 in early 2022) to explore how crop yield may be optimized by combining straw return with efficient phosphate fertilization. The experiment involved the application of DAP, SSP, and NP (three different types of phosphates) and the application of crop waste byproducts, namely the residual stover left after sorghum and maize harvesting. We compared control fields with no crop waste or phosphate addition (CR0 and PS0) to experimental plots treated with various phosphates and straw return. Growth parameters such as days to emergence, tasseling, silking and maturity, emergence rate (emergence m−2), height of plant, number of leaves, leaf area per plant, and yield were evaluated, and the influence of the treatment on the economic value of crops was estimated. Phosphorus and straw return were applied at rates of 90 kg per hectare and 5 tons per hectare, respectively. The best P-crop straw combination treatment involved DAP (90 kg ha−1) with the incorporation of 5 tons’ ha−1 of maize straw, which resulted in delayed tasseling (50 days), early silking (68 days), taller plants (178 cm), improved thousand-grain weight (233 g), maximum biological yield (11,349 kg ha−1) and grain yield (3760 kg ha−1). The application of DAP with maize straw return resulted in the highest plant height, biological yield, and grain yield of sweet corn during the second year of the experiment, despite the first year’s yield being influenced by a natural disaster. This combined management strategy (using either DAP or crop residuals) was found to have a more a favorable cost–benefit ratio (BCR) efficiency. In conclusion, increasing the use of crop residuals can help reduce the expensive application of synthetic mineral fertilizers like SSP and NP, while significantly increasing sweet corn production and improving profit margins. Considering the importance of environmental friendliness and sustainable agriculture, the combined use of DAP and straw return is considered a viable method.

The Combination Effect of Plant Standing and Dosage of Manureon Growth and Years of Corn (Zea Mays L.) Cultivar Sweet Lady

This study aims to determine: (1) the effect of the combination treatment spacing and manure dosage on the growth and yield of sweet corn, (2) the best combination of spacing treatment and manure dosage on the growth and yield of sweet corn, and (3) correlation between growth components and yield of sweet corn plants. The experiment was carried out in Bakung Kidul Village, Jamblang District, Cirebon Regency from November 2022 to February 2023. The experimental method used was an experimental method using a Randomized Block Design (RBD) with a further test of the Scott Knott Cluster Test at a 5 percent significance level. It consisted of a combination of spacing and manure treatment, and was repeated three times. The treatment combinations were as follows: A (40 cm x 40 cm and 15 tons of manure/ha), B (40 cm x 40 cm and 20 tons of manure/ha), C (40 cm x 40 cm and 25 tons of fertilizer manure/ha), D (50 cm x 40 cm and 15 tons of manure/ha), E (50 cm x 40 cm and 20 tons of manure/ha), F (50 cm x 40 cm and 25 tons of manure/ ha), G (60 cm x 40 cm and 15 tons of manure/ha), H (60 cm x 40 cm and 20 tons of manure/ha) and I (60 cm x 40 cm and 25 tons of manure/ha). The results showed that: (1) the combination of spacing and manure treatment had a significant effect on the growth and yield of sweet corn, (2) a spacing of 50 cm x 40 cm combined with 20 tons of manure per hectare had the best effect on plant height, number of leaves, cob length, weight of cobs with and without husks per plot. Spacing of 50 cm x 40 cm combined with 20 and 25 tons of manure per hectare gave the best effect on cob diameter, cob weight with and without husks per plant, and (3) there was a significant positive relationship between plant height at 42 days old after planting, the number of leaves aged 28 days and 42 days after planting with cob weight without husk per plot.