Adaption of the AmaizeN model for nitrogen management in sweet corn ( Zea mays L.)

Yuan, Mingjun; Ruark, Matthew D.; Bland, William L.

doi:10.1016/j.fcr.2017.04.007

Cited by 10 publications

(6 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Mohammed et al [149] reported that the quality of several sweet corn varieties was affected by N fertilization levels. Yuan et al [150] adapted a model to cultivate sweet corn in sand with irrigation and fertilization. Their approach significantly enhanced crop productivity compared to conventional practice, while reducing N fertilizer inputs and NO3-N loading, relative to the highest N input treatments.…”

Section: Inorganic Fertilizersmentioning

confidence: 99%

Sweet Corn Research around the World 2015–2020

2021

View full text Add to dashboard Cite

Modern sweet corn is distinguished from other vegetable corns by the presence of one or more recessive alleles within the maize endosperm starch synthesis pathway. This results in reduced starch content and increased sugar concentration when consumed fresh. Fresh sweet corn originated in the USA and has since been introduced in countries around the World with increasing popularity as a favored vegetable choice. Several reviews have been published recently on endosperm genetics, breeding, and physiology that focus on the basic biology and uses in the US. However, new questions concerning sustainability, environmental care, and climate change, along with the introduction of sweet corn in other countries have produced a variety of new uses and research activities. This review is a summary of the sweet corn research published during the five years preceding 2021.

show abstract

Section: Inorganic Fertilizersmentioning

confidence: 99%

Sweet Corn Research around the World 2015–2020

2021

View full text Add to dashboard Cite

show abstract

“…Pupuk urea berbentuk butir butir kristal berwarna putih merupakan pupuk yang mudah larut dalam air dan sifatnya sangat mudah menghisap air (higroskopis), Pupuk urea mengandung unsur hara N sebesar 46% dengan pengertian setiap 100 kg mengandung 46 Kg nitrogen, Moisture 0,5%, Kadar Biuret 1%, ukuran 1 -3,35 mm (Hidayah et al, 2016;Marlina et al, 2017;Ogunboye et al, 2020;Volk, 1966). Fungsi Nitrogen yang terkandung dalam pupuk urea adalah untuk merangsang pertumbuhan vegetatif tanaman terutama di daun, pertunasan, menambah tinggi tanaman dan jika unsur nitrogen cukup tersedia akan mempercepat sintesis karbohidrat menjadi protoplasma dan protein, dimana protoplasma dan protein digunakan untuk menyusun sel-sel jaringan tanaman sehingga menyebabkan tanaman menjadi bertambah tinggi dan besar (Faqih et al, 2019;Salardini et al, 1992;Yuan et al, 2017). Unsur nitrogen ialah faktor yang berpengaruh terhadap hasil jagung manis.Pemberian urea 300 kg ha-1 menghasilkan rerata jumlah daun, luas daun, indeks luas daun dan bobot kering total tanaman terbaik dibandingkan pemberian urea dengan dosis 75 kg ha-1 dan 150 kg ha-1 (Arif et al, 2014).…”

Section: Pendahuluanunclassified

Effect of Urea Fertilizer and Harvest Time on Growth and Production Quality of Sweet Corn (Zea mays saccharata)

Kusparwanti,

Sukri,

Sinaga

2022

Sinta. J. Sci. Tech. and Agric.

View full text Add to dashboard Cite

This study examines the use of Urea Fertilizer on sweet corn plants and harvest time in an effort to increase production and quality. This study sought to identify the effect of giving various doses of urea fertilizer with harvest time and it was found that the interaction of fertilizer treatment with harvest time had a significantly different effect on sweet corn production. The study was conducted using a factorial randomized block design (RAK) with two factors, namely urea dose (P) consisting of 3 levels and harvest time (B) with 3 levels and 3 replications, so that there were 27 experimental units. Each experimental unit was taken 8 experimental samples. The data were analyzed using analysis of variance and continued with the 5% DMRT test. The treatment was given: P1 = Urea at a dose of 300 kg/ha P2 = Urea at a dose of 225 kg/ha P3 = Urea at a dose of 150 kg/ha and B1 = 12.00 WIB, B2 = 14.00 WIB, B3 = 16.00 WIB. The parameters studied were plant height (cm); Number of leaves (strands); Cob length (cm); Cob diameter (cm); and the level of sweetness (brix) and weight of cobs per bed. The implication that can be drawn from the results of this study is that the growth of sweet corn (plant height, number of leaves) and production (cob length, cob diameter, cob weight per sample, sweetness level) were not significantly different, the interaction of urea fertilizer treatment 150 kg/ha with a harvest time of 14.00 gave a significantly different effect on the weight of cobs per bed.

show abstract

“…Various techniques have been used to estimate NO 3 − –N loss in the vadose zone (Garmdareh et al, 2018; Yuan, Ruark, & Bland, 2017). However, the majority of studies primarily focus on crop production (Phogat et al, 2020), water and N management (Juntakut et al, 2019; Karandish & Šimůnek, 2018; Li et al, 2015) and N leaching risk, among others (Matteau et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

The parametric uncertainty estimation of water and nitrogen transport simulation in a paddy field experiment using HYDRUS‐1D

Bian

Nie

et al. 2023

Irrigation and Drainage

View full text Add to dashboard Cite

The HYDRUS model is an efficient technical means to study the process of complex nitrogen (N) transport in farmland. Nonetheless, spatial variability in soil water and N parameters has been observed at the field scale, leading to uncertainties in the HYDRUS model. In this study, the HYDRUS‐1D model was corrected and verified by the measured data. Generalized likelihood uncertainty estimation (GLUE) was used to estimate the uncertainty and sensitivity of the model parameters. The differences in simulated and measured data were expressed in terms of root mean square error, normalized root mean square error and coefficient of determination, and the model calibration and verification indicated that the result was reliable. The soil saturated water content, dispersion and sorption coefficient were well identified, with values ranging from 0.42 to 0.45 cm3/cm3, 0.26 to 0.29 cm and 0.141 to 0.158 L/mg, respectively. The denitrification rate and saturated hydraulic conductivity greatly influenced the uncertainty in the model results. Considering the uncertainty of the parameters, the predicted leaching of N accumulation from 0 to 100 cm depth ranged from 9.5 to 12.7 kg/ha. The HYDRUS‐1D model can simulate water and N transport in paddy fields. The prediction interval can be narrowed by considering the uncertainty of the model parameters.

show abstract

Adaption of the AmaizeN model for nitrogen management in sweet corn ( Zea mays L.)

Cited by 10 publications

References 57 publications

Sweet Corn Research around the World 2015–2020

Sweet Corn Research around the World 2015–2020

Effect of Urea Fertilizer and Harvest Time on Growth and Production Quality of Sweet Corn (Zea mays saccharata)

The parametric uncertainty estimation of water and nitrogen transport simulation in a paddy field experiment using HYDRUS‐1D

Contact Info

Product

Resources

About