Nutrient requirements for maize in China based on QUEFTS analysis

Xu, Xinpeng; He, Ping; Pampolino, Mirasol F.; Chuan, Limin; Johnston, Adrian; Qiu, Shaojun; Zhao, Shicheng; Zhou, Wei

doi:10.1016/j.fcr.2013.06.006

Cited by 71 publications

(55 citation statements)

References 22 publications

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“…In China, nutrient requirements for maize (Liu et al, 2006;Zhang et al, 2012;Xu et al, 2013) and wheat (Liu et al, 2006;Chuan et al, 2013a) were estimated and used to develop fertilization recommendations (Chuan et al, 2013b;Xu et al, 2014). Nutrient requirements based on the QUEFTS model for rice have not been developed in China.…”

Section: Introductionmentioning

confidence: 99%

Estimating nutrient uptake requirements for rice in China

Xie

Hou

et al. 2015

Field Crops Research

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a b s t r a c tAccurate knowledge of the nitrogen (N), phosphorus (P), and potassium (K) requirements for rice (Oryza sativa L.) in China is essential to quantitatively estimate optimal fertilizer application regimes to maximize crop yield and increase nutrient use efficiency. On-farm experiments were collected in China's major riceproducing regions from 2000 to 2013, to determine the relationship between grain yield and nutrient uptake in the above-ground plant dry matter using the quantitative evaluation of the fertility of tropical soils (QUEFTS) model. The large datasets obtained which covered broader rice growing areas and ecology types (both indica and japonica) in China. The dataset was divided into two groups: single-season rice and early/middle/late rice, according to QUEFTS analysis. The QUEFTS model predicted a linear increase in grain yield if nutrients were taken up in balanced amounts until yield reached about 60-70% of yield potential. To produce 1000 kg of single-season rice grain, 14.8 kg N, 3.8 kg P, and 15.0 kg K were required in the above-ground plant dry matter, and the corresponding internal efficiencies (IEs) were 67.6 kg grain per kg N, 263.2 kg grain per kg P, and 66.7 kg grain per kg K. For early/middle/late rice, the amount of 17.1 kg N, 3.4 kg P, and 18.4 kg K were required in the above-ground plant dry matter to produce 1000 kg of grain, and corresponding IEs were 58.5 kg grain per kg N, 294.1 kg grain per kg P, and 54.3 kg grain per kg K. The QUEFTS model provides a scientific foundation for filtering high-yielding and high-efficiency variety, optimizing fertilizer application rate and developing nutrient management strategies to increase yield and nutrient use efficiency. This is the first report on comparison of the nutrient uptake of different ecology types in rice production area of China using QUEFTS model and test their feasibility through field validation.

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Section: Introductionmentioning

confidence: 99%

Estimating nutrient uptake requirements for rice in China

Xie

Hou

et al. 2015

Field Crops Research

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“…The slope of two borderlines represents the maximum accumulation (a) and maximum dilution (d) of a particular nutrient, respectively. (Witt et al 1999, Xu et al 2013. The values of a and d were mostly calculated as the 2.5 th and 97.5 th percentiles of the calculated IE of a particular nutrient.…”

Section: Methodsmentioning

confidence: 99%

Using QUEFTS model for estimating nutrient requirements of maize in the Northeast China

Jiang¹,

Liu²,

Wen³

et al. 2017

PLANT SOIL ENVIRON

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Accurate estimating of the balanced nutrition for maize is necessary for optimizing fertilizer management to prevent nutrient supply surplus or deficiency. Data from 300 field experiments in the Northeast China conducted between 2006 and 2011 were gathered to study the characteristics of maize yield, and using the QUEFTS model to estimate the balanced nutrition at different yield potential. The average grain yield was 10 427 kg/ha, and average internal efficiencies were 54.3, 251.5 and 78.2 kg grain per kg plant nitrogen (N), phosphorus (P) and potassium (K), respectively. With the harvest index values < 0.40 as outliers were excluded, the model simulated a linear-parabolic-plateau curve for the balanced N, P and K uptake when the initial yield target increased to the yield potential levels of 10 000 to 14 000 kg/ha. When the yield target reached approximately 60–70% of the yield potential, 16.7 kg N, 3.8 kg P, and 11.4 kg K were required to produce 1000 kg grain. The corresponding internal efficiencies were 60.0, 265.7 and 88.0 kg grain per kg plant N, P and K, respectively. These results contributed to improving nutrient use efficiency, and to demonstrate that the QUEFTS model could be a promising approach for estimating the balanced nutrition.

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“…The QUEFTS model was used to develop relationships between grain yield and nutrient uptake in total above-ground dry matter at different levels of target yield (Janssen et al, 1990;Smaling and Janssen, 1993;Witt et al, 1999;Chuan et al, 2013a;Xu et al, 2013). A large dataset (n = 5000) from field experiments were collected from 2001 to 2010 to estimate balanced nutrient requirements used QUEFTS model (Xu et al, 2013). Understanding nutrient uptake at target yield contributes to optimize fertilizer rate, calculate nutrient balance and helps to lessen pollution from fertilizer application (Chuan et al, 2013b;Xu et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…The core of SSNM method centers on determining fertilizer rate based on soil indigenous nutrient supply, crop yield and crop nutrient uptake (Dobermann and White, 1998;Dobermann and Witt, 2004;Koch et al, 2004;Witt et al, 2006;Dobermann et al, 2002;Buresh, 2009), and finally reduces a series of environmental problems including eutrophication of surface waters, nitrate pollution of groundwater, greenhouse gas emissions, and other forms of air pollution because of large inputs of synthetic N and P fertilizer (Ju et al, 2009). The QUEFTS model was used to develop relationships between grain yield and nutrient uptake in total above-ground dry matter at different levels of target yield (Janssen et al, 1990;Smaling and Janssen, 1993;Witt et al, 1999;Chuan et al, 2013a;Xu et al, 2013). A large dataset (n = 5000) from field experiments were collected from 2001 to 2010 to estimate balanced nutrient requirements used QUEFTS model (Xu et al, 2013).…”

Section: Introductionmentioning

confidence: 99%