Response of sweet corn hybrid to varying plant densities and nitrogen levels

SP, PALANIAPPAN; Bhatt, ana

doi:10.5897/ajar12.557

Cited by 29 publications

(17 citation statements)

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“…The interaction between chemical fertilizer levels, type and levels of organic fertilizer affected significantly(p ≤ 0.05) on number of days to appear male flowering, the earliest male flowering (33.667 days), obtained from interaction 100% of recommended chemical fertilizer and 2 ton ha -1 of both organic fertilizers and the longest (41.333 days) obtained from control of chemical and tow type of organic fertilizers. These results agree with [2], [28] on sweet corn.…”

Section: Results and Discussion Effect Of Chemical Fertilizer Types ...supporting

confidence: 89%

“…The results in table (2) represented that there are significant effects between chemical fertilizer levels compared with control on number of days to appear male flowers, the earliest male flowering was from (100%) recommended application of chemical fertilizer (35.000 days), where's the longest male flowering was from control (38.833 days). Also in type and levels of organic fertilizers there was significant effects between them ,earliest male flowering was from domestic (35.917) days, where's the longest from control (38.000) days.…”

Section: Results and Discussion Effect Of Chemical Fertilizer Types ...mentioning

confidence: 97%

“…After rice and wheat, maize is the third most important grain crop in the world. It has a wide range of uses [2]. Most of the maize grown around the world is used.…”

Section: Introductionmentioning

confidence: 99%

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Response of sweet corn (zea mays saccharata L.) to different levels of organic and inorganic fertilizers . 2 - flowering and yield parameters

Abdullah

2023

kujas

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This study was conducted in the Agriculture research station of Chamchamal in Sulymaniyah / Iraq, on 3rd July to 8th October 2022. Was designed using a (RCBD) four *four with three replications. The arrangement of treatment is as follows, The first treatment was chemical fertilizer (NPK) consisting of four levels (0, 50, 75and 100)% of recommended application dose. The second treatment of two types of poultry manure (0, 4ton ha-1 domestic, 4ton ha-1 imported, and 2ton ha-1 from domestic and imported), results obtained from this study can conclude as follows. yield component (Days to 75% flowering (male and silk) appearance, number of row, weight of 500 grains and yield per plant, as well as the quantity of grains per row and cob)were significantly superior with the use of chemical and poultry manure application compared with the control, the better yield and its component of sweet corn was from the combination of two fertilizers(organic and inorganic) At the 50% of recommended inorganic fertilizer and 4 ton ha-1 of domestic poultry manure

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Section: Results and Discussion Effect Of Chemical Fertilizer Types ...supporting

confidence: 89%

Section: Results and Discussion Effect Of Chemical Fertilizer Types ...mentioning

confidence: 97%

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Response of sweet corn (zea mays saccharata L.) to different levels of organic and inorganic fertilizers . 2 - flowering and yield parameters

Abdullah

2023

kujas

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“…Maize grain yields decrease with increasing sowing density beyond the optimum, but modern maize varieties are known to tolerate high densities even with low N application (O'Neill et al, 2004). Finding the best interactive function of adequate sowing density and N fertilizer application has been the focus of various studies (Al-Naggar et al, 2015;Bhatt, 2012;Qian et al, 2016). Stress caused by low N application frequently occurs with high sowing density conditions (Bänziger and Lafitte, 1997).…”

Section: Introductionmentioning

confidence: 99%

Optimizing sowing density-based management decisions with different nitrogen rates on smallholder maize farms in Northern Nigeria

et al. 2020

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In this study, the CERES-Maize model was calibrated and evaluated using data from 60 farmers’ fields across Sudan (SS) and Northern Guinea (NGS) Savannas of Nigeria in 2016 and 2017 rainy seasons. The trials consisted of 10 maize varieties sown at three different sowing densities (2.6, 5.3, and 6.6 plants m−2) across farmers’ field with contrasting agronomic and nutrient management histories. Model predictions in both years and locations were close to observed data for both calibration and evaluation exercises as evidenced by low normalized root mean square error (RMSE) (≤15%), high modified d-index (> 0.6), and high model efficiency (>0.45) values for the phenology, growth, and yield data across all varieties and agro-ecologies. In both years and locations and for both calibration and evaluation exercises, very good agreements were found between observed and model-simulated grain yields, number of days to physiological maturity, above-ground biomass, and harvest index. Two separate scenario analyses were conducted using the long-term (26 years) weather records for Bunkure (representing the SS) and Zaria (representing the NGS). The early and extra-early varieties were used in the SS while the intermediate and late varieties were used in the NGS. The result of the scenario analyses showed that early and extra-early varieties grown in the SS responds to increased sowing density up to 8.8 plants m−2 when the recommended rate of N fertilizers (90 kg N ha−1) was applied. In the NGS, yield responses were observed up to a density of 6.6 plants m−2 with the application of 120 kg N ha−1 for the intermediate and late varieties. The highest mean monetary returns to land (US$1336.1 ha−1) were simulated for scenarios with 8.8 plants m−2 and 90 kg N ha−1, while the highest return to labor (US$957.7 ha−1) was simulated for scenarios with 6.6 plants m−2 and 90 Kg N ha−1 in the SS. In the NGS, monetary return per hectare was highest with a planting density of 6.6 plants m−2 with the application of 120 kg N, while the return to labor was highest for sowing density of 5.3 plants m−2 at the same N fertilizer application rates. The results of the long-term simulations predicted increases in yield and economic returns to land and labor by increasing sowing densities in the maize belts of Nigeria without applying N fertilizers above the recommended rates.

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“…Research has shown that long-term reduced tillage systems tend to select for perennial weeds (Ngouajio et al, 2003;Thomas et al, 2004) abundance and greater biodiversity of weeds compared with conventional systems (Pollnac et al, 2009). Sweet corn (Zea mays) is well known for being a heavy feeding crop, with some reports recommending nitrogen rates between 200 and 300 lb/acre (Oktem et al, 2010;Sp, 2012). Cover crops such as oat are also known to tie up nitrogen, making it unavailable to the cash crop that follows.…”

mentioning

confidence: 99%

Oat Cover Crop and No-tillage Can Provide Weed Suppression and Alter Weed Community Dynamics in Sweet Corn

Dawson

Boyhan

Coolong

et al. 2021

hortte

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Along with the many known benefits of cover crops, they may be an effective ecological weed management strategy in low-input agriculture. This research aimed to determine the effect of cover crops, combined with reduced-tillage and nitrogen inputs on sweet corn (Zea mays) yield and weed communities. During the 2-year study, the impact of the cover crop on yield varied. Yield within the no-till conventional treatment plots was not significantly different from the conventional treatment [6844 and 7721 lb/acre (P = 0.592)] in year 1 but differed in year 2 (P = 0.003). Weed density and experimental area covered by weeds were not significantly different between conventional and no-till conventional treatments. Multivariate analyses showed associations between specific weed species and management practices. Weeds were greatest in no-till organic treatments, and they had significantly lower yields, suggesting additional weed control beyond cover crops may be necessary for organic vegetable systems under reduced tillage.

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Response of sweet corn hybrid to varying plant densities and nitrogen levels

Cited by 29 publications

References 0 publications

Response of sweet corn (zea mays saccharata L.) to different levels of organic and inorganic fertilizers . 2 - flowering and yield parameters

Response of sweet corn (zea mays saccharata L.) to different levels of organic and inorganic fertilizers . 2 - flowering and yield parameters

Optimizing sowing density-based management decisions with different nitrogen rates on smallholder maize farms in Northern Nigeria

Oat Cover Crop and No-tillage Can Provide Weed Suppression and Alter Weed Community Dynamics in Sweet Corn

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