Modeling plant nitrogen uptake and grain nitrogen accumulation in wheat

Pan, Jie; Zhu, Yan; Jiang, Dong; Dai, Tingbo; Li, Yingxue; Cao, Weixing

doi:10.1016/j.fcr.2005.11.006

Cited by 61 publications

(20 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Models also vary in their approach to estimating grain N uptake. Some crop models, such as AFRCWHEAT2 (Porter, 1993) and CropSyst (Stöckle et al, 2003), estimate grain N demand based on a declining grain N concentration (GNC), which is consistent with experimental and simulation results for wheat (Pan et al, 2006) and maize (Plénet and Lemaire, 2000). CERES-Wheat (Ritchie et al, 1998) and APSIM-Wheat (Asseng, 1998) estimate grain N demand using grain number, thermal time, and potential grain N filling rate, which poorly predicted GNC and N uptake under extreme drought conditions (Weiss and Moreno-Sotomayer, 2006).…”

mentioning

confidence: 60%

Modeling N Concentration and Uptake for Maize Hybrids under Growth Stage-Based Deficit Irrigations

Fang¹,

Ma²,

Trout³

et al. 2017

Transactions of the ASABE

View full text Add to dashboard Cite

Abstract. Current maize hybrids have lower critical aboveground biomass nitrogen (N) concentration (TCNP) and grain N concentration (GNC) compared to older hybrids, but few crop models have incorporated this trend. The objective of this study was to evaluate alternative algorithms for calculating TCNP (biomass-based method) and GNC (grain N demand based on N dilution curve) for predicting crop N concentration and N uptake for a current maize hybrid in the CERES-Maize model as implemented in the Root Zone Water Quality Model (RZWQM). Experimental data were obtained from a field study on maize irrigated to meet various percentages (40% to 100%) of evapotranspiration demand at both vegetative and reproductive stages in 2012 and 2013 in Greeley, Colorado. The original RZWQM showed little response of aboveground N concentration (AGBNC) to the irrigation treatments and overpredicted GNC in both years. As a result, crop N uptake was generally overpredicted, with root mean square error (RMSE) values of 28 to 60 kg N ha-1 for the two years. Adjusted coefficients in the original TCNP and GNC algorithms (RZWQM_ADJ) effectively reduced the overpredicted GNC but with less improvement in response to the irrigation treatments in 2013 compared with the original RZWQM simulations. The RZWQM with modified TCNP and GNC algorithms simulated lower GNC and AGBNC than the original version, significantly improved the responses to the irrigation treatments, and captured the variations in measured GNC among seasons. The corresponding crop N uptake simulations improved more in 2012 than in 2013, with lower RMSE values of 16 to 32 kg N ha-1 than the original and RZWQM_ADJ versions. The better-predicted grain N uptake by the alternative algorithms could be helpful to making better crop N management decisions under different deficit irrigation conditions. Keywords: CERES-Maize, Crop N concentration, Crop N demand, Crop N uptake, Deficit irrigation, Maize hybrid, RZWQM.

show abstract

mentioning

confidence: 60%

Modeling N Concentration and Uptake for Maize Hybrids under Growth Stage-Based Deficit Irrigations

Fang¹,

Ma²,

Trout³

et al. 2017

Transactions of the ASABE

View full text Add to dashboard Cite

show abstract

“…Due to the fact that nitrogen (N) is the most limiting nutrient for wheat production and the possible environmental problems related to its use, nitrogen use efficiency (NUE) of crops plays a fundamental role in sustainable grain production (Pan et al, 2006;Asplund et al, 2014). NUE is given by the ratio between grain yield (GY) and the amount of nutrient provided by the fertilizer (Moll et al, 1982;Cormier et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Influence of Nitrogen Fertilizer Application on Grain Yield, Nitrogen Uptake Efficiency, and Nitrogen Use Efficiency of Bread Wheat (Triticum aestivum L.) Cultivars in Eastern Ethiopia

Daba¹

2017

JAS

View full text Add to dashboard Cite

The study was conducted in Eastern Ethiopia, namely Meta and Tullo districts, during the 2015 cropping season to determine the effect of N fertilizer levels on N uptake, N use efficiency (NUE) and grain yield on bread wheat cultivars. Factorial combinations of five N levels (0, 30, 60, 90, and 120 kg N ha -1 ) and four bread wheat cultivars (Danda'a, Digalu, Kakaba and local cultivar) were laid out as a randomized complete block design (RCBD) with three replications. The interactions of sites, N levels, and cultivars significantly (p ≤ 0.01) affected grain yield (GY), nitrogen uptake by grains, total nitrogen uptake, nitrogen uptake efficiency (NUpE) and nitrigen use efficiency for grain yield (NUEGY). Main effects of sites, N levels and cultivars had significant (p < 0.01) effect on grain and straw N contents, straw N uptake, N biomass production efficiency, N utilization efficiency (NUtE) and nitrogen harvest index (NHI). The cultivar Kakaba at rate of 90 kg N ha -1 produced the highest grain yield (4880 kg ha application rate than the remaining N levels and variety interactions at both sites. Cultivars variations in NUEGY under low N application levels were mainly due to higher variations in NUpE than in NUtE. Therefore, there is a need for exploration of the effectiveness of various combinations of N rates with time of applications for improvements of N-use efficiency traits and cost effectiveness in improved wheat cultivars production.

show abstract

“…Nitrogen (N) is the most limiting nutrient for the production of wheat (Pan et al 2006). Due to this fact and the possible environmental problems related to its use, the Nitrogen use efficiency (NUE) plays a fundamental role in sustainable grain production (Asplund et al 2014).…”

Section: Introductionmentioning

confidence: 99%