In-season estimation of rice grain yield using critical nitrogen dilution curve

Ata-Ul-Karim, Syed Tahir; Liu, Xiaojun; Lu, Zhenzhou; Yuan, Zhao-Feng; Zhu, Yan; Cao, Weixing

doi:10.1016/j.fcr.2016.04.027

Cited by 90 publications

(59 citation statements)

References 27 publications

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“…Understanding of N management in relation to N supply and demand as well as the underlying processes governing N uptake and distribution in plant organs is imperative for quantifying N dynamics in the cropping system1. N fertilization management in rice and other crops at key growth stages is a growing practice implemented for increasing N use efficiency.…”

Section: Discussionmentioning

confidence: 99%

Comparison of different critical nitrogen dilution curves for nitrogen diagnosis in rice

Ata-Ul-Karim

Zhu

Liu

et al. 2017

Sci Rep

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The critical nitrogen (N) dilution curve is a suitable analytical tool for in-season estimation of N status to implement precision N management. This study was undertaken for a comprehensive comparison of N dilution curves in Japonica and Indica rice to investigate, whether a single curve can be used for both rice ecotypes and to determine the most robust plant index for assessing N status in rice ecotypes. The different N dilution curves were developed based on plant dry matter (PDM), leaf area index (LAI), leaf dry matter (LDM) and stem dry matter (SDM) for N diagnosis in Japonica and Indica rice. The comparison of N dilution curves of two rice ecotypes showed non-significant differences, therefore a single/unified curve can be used to assess plant N status for precision N management in both rice ecotypes. The relationships between PDM based, with LAI, LDM, and SDM based N nutrition index, accumulated N deficit and N requirement, indicated that leaf based approaches could be used as substitutes for PDM approach. The lower coefficient b values of LDM based curve (due to efficient physiological N use in leaves) implied that LDM was the most appropriate approach for developing N curve as compared to other approaches.

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Section: Discussionmentioning

confidence: 99%

Comparison of different critical nitrogen dilution curves for nitrogen diagnosis in rice

Ata-Ul-Karim

Zhu

Liu

et al. 2017

Sci Rep

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“…However, the results of present study confirmed our hypothesis that the averaged values of chlorophyll meter readings of four uppermost fully expanded leaves for a cultivar and then for an ecotype could considerably minimize the influences of factors affecting the chlorophyll meter readings and were in consensus with the previous report on rice (Wang et al, 2014). The destructive sampling prerequisite for assessment of critical N parameters may limit the practical execution of this methodology, yet the latest precision management tools such as the GreenSeeker and Crop Circle ACS-470 sensor can be effectively used for reliable in-season estimation of the critical N parameters at different phenological stages (Mistele and Schmidhalter, 2008; Ata-Ul-Karim et al, 2016, 2017). Chlorophyll meter readings can also be integrated with canopy color related indices obtained by the digital still color camera for in-season N diagnosis in rice crop.…”

Section: Discussionmentioning

confidence: 99%

“…However, the relationships of chlorophyll meter readings and critical N parameters, especially the chlorophyll meter readings, AND and NR were more reliable. These relationships were strongest at PI and BT stages, the stages that cover 65–75% of the rice growth period and rice plants have generally experienced most of the growth limiting factors at these crop growth stages (Chang et al, 2005; Ata-Ul-Karim et al, 2016). The newly developed integrated approach has promise as a precision N management methodology in rice cropping systems.…”

Section: Discussionmentioning

confidence: 99%

“…The root mean square error (RMSE) between the predicted and observed values was used to test the goodness of fit of the linear regression models between chlorophyll meter readings and PNC NNI, AND, and NR. RMSE was calculated as (Ata-Ul-Karim et al, 2016, 2017):…”

Section: Methodsmentioning

confidence: 99%

“…Effective in-season N management, both in terms of rate and timing of application is vital for improving crop productivity and quality as well as for sustaining soil fertility in rice ( Oryza sativa L.) cropping systems (Ata-Ul-Karim et al, 2016). N is an indispensable constituent of chlorophyll and protein associated with leaf color, plant vigor, plant N status, yield and quality (Adhikari et al, 1999).…”

Section: Introductionmentioning

confidence: 99%

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Non-destructive Assessment of Plant Nitrogen Parameters Using Leaf Chlorophyll Measurements in Rice

et al. 2016

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Non-destructive assessment of plant nitrogen (N) status is essential for efficient crop production and N management in intensive rice (Oryza sativa L.) cropping systems. Chlorophyll meter (SPAD-502) has been widely used as a rapid, non-destructive and cost-effective diagnostic tool for in-season assessment of crop N status. The present study was intended to establish the quantitative relationships between chlorophyll meters readings, plant N concentration (PNC), N nutrition index (NNI), accumulated N deficit (AND), and N requirement (NR), as well as to compare the stability of these relationships at different vegetative growth stages in Japonica and Indica rice cultivars. Seven multi-locational field experiments using varied N rates and seven rice cultivars were conducted in east China. The results showed that the PNC and chlorophyll meters readings increased with increasing N application rates across the cultivars, growing seasons, and sites. The PNC and chlorophyll meters readings under varied N rates ranged from 2.29 to 3.21, 1.06 to 1.82 and 37.10 to 45.4 and 37.30 to 46.6, respectively, at TL and HD stages for Japonica rice cultivars, while they ranged from 2.25 to 3.23, 1.34 to 1.91 and 35.6 to 43.3 and 37.3 to 45.5 for Indica rice cultivars, respectively. The quantitative relationships between chlorophyll meters readings, PNC, NNI, AND, and NR established at different crop growth stages in two rice ecotypes, were highly significant with R2 values ranging from 0.69 to 0.93 and 0.71 to 0.86 for Japonica and Indica rice, respectively. The strongest relationships were observed for AND and NR at panicle initiation and booting stages in both rice ecotypes. The validation of the relationships developed in the present study with an independent data exhibited a solid model performance and confirmed their robustness as a reliable and rapid diagnostic tool for in-season estimation of plant N parameters for sustainable N management in rice. The results of this study will offer a suitable approach for managing N application precisely during the growth period of the rice crop in intensive rice cropping systems of east China.

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Chlorophyll meter–based nitrogen fertilizer optimization algorithm and nitrogen nutrition index for in‐season fertilization of paddy rice

et al. 2020

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Nitrogen fertilizer optimization algorithm (NFOA) and nitrogen nutrition index (NNI) have been developed to achieve higher yield and N use efficiency. This study was to improve NFOA and NNI strategies for managing rice N nutrition based on portable Soil and Plant Analyzer Development (SPAD) meter. Four field experiments were conducted in 2013–2014 to generate diverse N fertilizer rates in rice cultivars at three eco‐sites. Nitrogen indicators SPAD readings were measured to establish SPAD‐based management strategies. Two experiments were conducted to assess the effectiveness of developed NFOA and NNI algorithm for upward and downward adjustment of N‐fertilizer doses twice within the growing season in 2015. New N‐adjustment strategies optimized N topdressing by upward‐, fine‐, and downward‐ adjustment with an average N‐application rate of 264–272 kg N ha−1 in eastern China. Maximum grain yield (10.5 t ha−1) was obtained when 264 kg N ha−1 was applied. The recovery efficiency of N fertilizer was higher for NFOA and NNI (51–57%) than fixed‐time application of 270 kg N ha−1 (48%). The comparable high net profit (>$1080 ha−1) was achieved with lower N‐adjustment fertilizer input in 270 and 360 kg N ha−1 treatments. SPAD‐based NFOA and NNI methods are practical approaches for reducing excessive use of N fertilizer, achieving slight increase in yield, and net profit was decreased (360 kg N ha−1). More refinements are necessary to ensure that these strategies can be used for yield‐ and income‐enhancing production for farmers.

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In-season estimation of rice grain yield using critical nitrogen dilution curve

Cited by 90 publications

References 27 publications

Comparison of different critical nitrogen dilution curves for nitrogen diagnosis in rice

Comparison of different critical nitrogen dilution curves for nitrogen diagnosis in rice

Non-destructive Assessment of Plant Nitrogen Parameters Using Leaf Chlorophyll Measurements in Rice

Chlorophyll meter–based nitrogen fertilizer optimization algorithm and nitrogen nutrition index for in‐season fertilization of paddy rice

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