Modification of maize simulation model for predicting growth and yield of winter wheat under different applied water and nitrogen

Mahbod, Mehdi; Zand‐Parsa, Shahrokh; Sepaskhah, Ali Reza

doi:10.1016/j.agwat.2014.11.009

Cited by 17 publications

(9 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Water thus helps N uptake by plants and had a direct relation to N-uptake and overall NUE. Reduced NUE under less irrigation is the mirror image of what was found by Zand-Parsa et al (2006) and Mahbod et al (2015). They argued that irrigation affects nitrogen uptake by plants and its accumulation mechanisms in grains while the mechanism of N uptake by grains responds similar as plant N uptake to different irrigation levels.…”

Section: Discussionmentioning

confidence: 80%

Maize Growth, Yield Formation and Water-Nitrogen Usage in Response to Varied Irrigation and Nitrogen Supply Under Semi-Arid Climate

Ashraf¹,

Salim²,

Sher³

et al. 2015

Turkish Journal of Field Crops

View full text Add to dashboard Cite

Enhancement of resource use efficiencies and crop productivity in sustainable agriculture are important especially in low-input production systems. This experiment was planned to evaluate the performance of maize under different water and nitrogen levels. Three irrigation treatments i.e., I1= three leaf stage (V1), nine leaf stage (V2), tasseling (T) and milking stage (M); I2 = V1, V2, T, M and dough stage (R1), I3= V1, V2, T, M , R1 and blister stage (R2) were applied with 70 mm application depth with different nitrogen application rates i.e., 0 , 150, 200 and 250 kg N ha-1. Results revealed that maximum growth i.e., plant height, leaf area index (LAI), crop growth rate (CGR), cob length and diameter as well as yield and yield components i.e., grains rows/cob, grains/row, grains/cob, grain weight/cob, 100-grain weight, grain yield, biological yield and harvest index, water and nitrogen use efficiencies as well as transpiration and photosynthetic activities were recorded at I3 with 250 kg N ha-1. However, increased irrigation and nitrogen application rates delayed days to tasseling, silking and maturity. Conclusively, six irrigations (I3) with 250 kg N ha-1 can be adopted as the best input levels to get maximum maize yield under semi-arid regions. In future both these inputs may be used as water and nitrogen based agricultural best management practices (BMPs) in regions with similar type of environmental conditions.

show abstract

Section: Discussionmentioning

confidence: 80%

Maize Growth, Yield Formation and Water-Nitrogen Usage in Response to Varied Irrigation and Nitrogen Supply Under Semi-Arid Climate

Ashraf¹,

Salim²,

Sher³

et al. 2015

Turkish Journal of Field Crops

View full text Add to dashboard Cite

show abstract

“…Plant NO3 -uptake is considered completely passive. Since it is usually modeled as a non-sorbing chemical species, ion exchange of plant root and soil mineral/organic matters, and consequently active uptake, are not possible [56], [77], [78]. No N generation from organic matter decomposition is considered.…”

Section: Discussionmentioning

confidence: 99%

Modeling irrigation with nitrate contaminated groundwater

Hatipoğlu¹,

Kurt²

2020

Pamukkale J Eng Sci

View full text Add to dashboard Cite

An alternative method to treat the nitrate-contaminated groundwater under the agricultural fields while providing economic benefit is called pump and fertilize. Pump and fertilize, while removing the nitrate in the groundwater, can reduce nitrate and pesticide requirement. However, up to date, there are no studies evaluating the effect of this application under different soil/climate conditions. In order to apply this technology in the field and to determine its effect, a feasibility study needs to be performed. Therefore, we constructed unsaturated zone groundwater models via HYDRUS 1D for one-hectare corn field in prevalent soils and under Eskişehir, Adana, Şanlıurfa, Düzce climates in Turkey. Our results indicated that even groundwater with 50 mg/L nitrate contamination could provide economic benefit to the agriculture especially where climates and soil types are similar to Şanlıurfa. In this climate using pump and fertilize technique saves 97 kg N/year in a 1-hectare farm. The technique was especially effective for fluvisol, vertisol soils as nitrate leaching are very low, and for cambisol soils since very high nitrogen use efficiency was seen for the climates present in Turkey. Our results indicated that in general the pump and treat efficiency is less effective in wet and cold climates, like in Düzce. As a general result of our study, we concluded that dry and warm climates with relatively permeable soils are more promising for the pump and fertilize application.

show abstract

“…where q b and q s are the soil bulk and grain density (g/cm 3 ) that was considered 2.65 (g/cm 3 ) in this experiment. Seedling emergence time taking into account texture interference, planting depth and soil water content at various temperatures was calculated by the following equation (Mahbod et al 2015).…”

Section: Experiments Imentioning

confidence: 99%

“…The Beta model can predict the time of emergence of wheat seedlings using daily air temperatures (Wang et al 2009). The parameters of the Beta model were modified for predicting the time of emergence of corn and wheat with interference soil texture, planting depth and soil water content at various temperatures in laboratory and field condition (Ghafari 2011;Mahbod et al 2015). The advantage of using Beta model is its robust prediction, especially for extrapolation or outside the range of observed data (Soltani et al 2006).…”

Section: Introductionmentioning

confidence: 99%

Predicting the seedling emergence time of sugar beet (Beta vulgaris) using beta models

Rimaz

Zand‐Parsa

Taghvaei

et al. 2020

Physiol Mol Biol Plants

Self Cite

View full text Add to dashboard Cite

Soil temperature, texture, water content and sowing depth are effective factors on the estimation of emergence time. This research aimed to test the Beta model for its adequacy in predicting the time of emergence for sugar beet. The Beta growth model as a phenological model have been used for evaluating the time of seedling emergences under both controlled environments in laboratory and field conditions. An experiment was conducted both in the laboratory with five soil textures, three sowing depths, five soil water contents and ten constant soil temperatures, under field conditions on five sowing dates (20 February, 28 March, 19 April, 10 May, and 31 May) and three sowing depths. The results demonstrated that the Beta model can predict the time of emergence. Based on the root mean square error (RMSE), the time of emergence estimated by the Beta model was in high agreement with the time of emergence measured in the laboratory. Estimation accuracy was reduced slightly by the Beta model under field conditions. The accuracy of the Beta model was influenced by the sowing date under field conditions. So, on the first and second sowing dates (with low air temperature), the estimation of time of emergence by the model was lower and on the fourth and the fifth sowing date (with warmer air temperature), was more than the duration measured. Estimation accuracy was increased by the Beta model under field conditions using soil temperature. In conclusion, the Beta model can predict the time to emergence of sugar beet seedlings in different levels of soil texture and soil water content under field conditions, and with that, the proper planting date for sugar beet seeds to overcome weeds in different soil water content can be predicted.

show abstract

Modification of maize simulation model for predicting growth and yield of winter wheat under different applied water and nitrogen

Cited by 17 publications

References 41 publications

Maize Growth, Yield Formation and Water-Nitrogen Usage in Response to Varied Irrigation and Nitrogen Supply Under Semi-Arid Climate

Maize Growth, Yield Formation and Water-Nitrogen Usage in Response to Varied Irrigation and Nitrogen Supply Under Semi-Arid Climate

Modeling irrigation with nitrate contaminated groundwater

Predicting the seedling emergence time of sugar beet (Beta vulgaris) using beta models

Contact Info

Product

Resources

About