Rapid and nondestructive estimation of the nitrogen nutrition index in winter barley using chlorophyll measurements

Zhao, Ben; Liu, Zhandong; Ata-Ul-Karim, Syed Tahir; Xiao, Junfu; Liu, Zugui; Qi, Anzhen; Ning, Dongfeng; Nan, Jingqin; Duan, Aiwang

doi:10.1016/j.fcr.2015.10.021

Cited by 73 publications

(54 citation statements)

References 26 publications

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“…Precision agriculture techniques have potential to provide information on agricultural crops quantitatively, instantaneously and non-destructively over large areas (Chang et al, 2005;Zhao et al, 2016). In-season estimation of rice grain yield is not only fundamental for application of precision agriculture, but can also be very useful for food provision management.…”

Section: Application Of Nc Dilution Curve For In-season Yield Estimationmentioning

confidence: 99%

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

Ata-Ul-Karim

Liu

et al. 2016

Field Crops Research

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Section: Application Of Nc Dilution Curve For In-season Yield Estimationmentioning

confidence: 99%

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

Ata-Ul-Karim

Liu

et al. 2016

Field Crops Research

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“…However, several factors such as plant growth stage, cultivar, specific leaf weight, leaf thickness, leaf position on the plant, measurement location on a leaf (Muñoz-Huerta et al, 2013; Yuan et al, 2016b) as well as environmental stresses and solar radiation (Zhao et al, 2016a) could significantly affect chlorophyll meter readings. Effective measures such as correlating the SPAD values and leaf N concentration (Esfahani et al, 2008), developing SPAD sufficiency index (Hussain et al, 2000), relative SPAD index (Ziadi et al, 2008; Yuan et al, 2016a), normalized SPAD index (Debaeke et al, 2006; Yuan et al, 2016a), positional difference SPAD indices (Lin et al, 2010; Yuan et al, 2016a; Zhao et al, 2016b), and the relationships between chlorophyll meter readings and canopy color related images obtained by a digital still color camera (Wang et al, 2014) have been widely adopted by researchers to minimize the influences of aforementioned factors on chlorophyll meter readings. Chlorophyll meter readings are well correlated with leaf N concentration, color-related indices from digital still camera, chlorophyll content and soil mineral N concentration (Thind and Gupta, 2010; Wang et al, 2014), yet regulating chlorophyll meter readings to direct units of PNC is still challenging and requires a comprehensive understanding of the relationship between chlorophyll meter readings and PNC across the phenological stages, cultivars, and sites.…”

Section: Introductionmentioning

confidence: 99%

“…Attempts have been made to relate the chlorophyll meter readings with PNC and NNI using several indirect methodologies. These include relative chlorophyll meter readings (Ziadi et al, 2008; Yuan et al, 2016a), normalized chlorophyll meter readings (Debaeke et al, 2006; Yuan et al, 2016a), chlorophyll meter readings of different leaf position (Prost and Jeuffroy, 2007; Yang et al, 2014; Yuan et al, 2016a; Zhao et al, 2016b) and positional difference indices for estimating crop N status (Yuan et al, 2016a; Zhao et al, 2016b). Despite these attempts, there remains controversy regarding their reliability in estimating plant N status due to contradiction regarding the effect of different leaf positions on chlorophyll meter readings, which affects the reliability of these techniques in estimating plant N status.…”

Section: Introductionmentioning

confidence: 99%

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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“…There is a need of careful interpretation of the Ncrit, Pcrit, Ncrit-Pcrit, and NNI models under water limiting conditions and these models could be coupled with tissue N and P concentrations measurement might improve nutrient diagnosis for sustainable fertiliser management that prevent environment pollution while maintaining yield target. Thus, the critical N and NNI methods could be substituted by the soil-plant analysis development (SPAD) meter which is a low-cost, rapid, simple and non-destructive plant nitrogen status assessment tool that provides better solution for nitrogen management at field level, taking into account the position of the leaves on the crop plant and crop growth stage Prost and Jeuffroy, 2007;Ata-UlKarim et al, 2016;Yuan et al, 2016;Zhao et al, 2016).…”

Section: Articlementioning

confidence: 99%

Evaluation of critical nitrogen and phosphorus models for maize under full and limited irrigation conditions

Djaman

Irmak

2017

Ital J Agronomy

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Proper nitrogen (N) fertiliser application rates and timing of application, coupled with optimum irrigation management can improve the sustainability of maize production and reduce the risk of environmental contamination by nutrients. The impact of full and limited irrigation and rainfed conditions on in-season maize (Zea mays L.) shoot biomass nutrient concentration and critical N and phosphorus (P) indices were evaluated using a combination of measured nutrients and critical N and P models in south central Nebraska in 2009 and 2010. Four irrigation treatments [fully-irrigated treatment (FIT), 75% FIT, 60% FIT and 50% FIT) and rainfed] were imposed. Irrigation regimes impacted the shoot biomass N concentration. The shoot biomass N concentration was above the critical N (Ncrit) concentration throughout the growing season under FIT and 75% FIT and was below the Ncrit value for the most limited irrigation (60% FIT and 50% FIT) and rainfed treatments. Nitrogen nutrient index (NNI) varied from 0.68 to 2.0. Biomass N concentration was below Ncrit [i.e., NNI<1] from 105 days after planting (DAP) to harvest under rainfed and 50% FIT and from 114 DAP to harvest under 60% FIT. Overall, the FIT and the 75% FIT had NNI values greater than 1.0 throughout both growing seasons. Phosphorus concentration, which decreased with biomass accumulation and irrigation amounts, varied from 1.0 to 4.8 g kg -1 , with FIT having the highest biomass P concentration. The critical N model combined with NNI can be used to evaluate N and P in maize for in-season nutrient diagnosis under the conditions presented in this research.

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Rapid and nondestructive estimation of the nitrogen nutrition index in winter barley using chlorophyll measurements

Cited by 73 publications

References 26 publications

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

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

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

Evaluation of critical nitrogen and phosphorus models for maize under full and limited irrigation conditions

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