Site-specific fertilizer nitrogen management in irrigated transplanted rice (Oryza sativa) using an optical sensor

Bijay‐Singh,; Varinderpal-Singh,; Purba, J.S.Maniur; Sharma, R. K.; Jat, M.L.; Yadvinder‐Singh,; Thind, H. S.; Gupta, Rajeev Kumar; Chaudhary, O. P.; Chandna, Parvesh; Khurana, H.S.; Kumar, Ajay; Jagmohan-Singh,; Uppal, H. S.; Uppal, Rajneet K.; Vashistha, Monika; Gupta, Raj Kumar

doi:10.1007/s11119-015-9389-6

Cited by 57 publications

(14 citation statements)

References 30 publications

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“…In rice cropping system, plant N accumulation could be estimated by GreenSeeker optical sensor (Xue et al, 2014;Ali et al, 2015). And NDVI had been used in N fertilizer management in many sites (Bajwa et al, 2010;Bijay-Singh et al, 2012;Yao et al, 2012;Bijay-Singh et al, 2015). There was an exponential and positive significant correlation (p < 0.05) between NDVI and biomass and N uptake of green leaves and LAI before and after heading of main rice (Table 1).…”

Section: Discussionmentioning

confidence: 99%

Predicting ratoon rice growth rhythm based on NDVI at key growth stages of main rice

Liu

2015

Chilean J. Agric. Res.

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The growth of ratoon rice (Oryza sativa L.) is affected by growth of main rice, so it could be evaluated by determining growing condition of main rice. Objective of the study was to find regression model for predicting ratoon rice growth rhythm through establishing the quantitative relationship between growth rhythm in ratoon rice and normalized difference vegetation index (NDVI) after heading of main rice. NDVI at key growth stages of main rice was measured using active spectrometry for 12 varieties in 2008 and for 23 varieties in 2009, and compared the physiological indexes of main and ratoon rice. There was an exponential correlation (P < 0.05) between the NDVI after heading of the main rice and biomass, N concentration of green leaves and stems or leaf area index (LAI) after heading of the ratoon rice for all the 12 varieties in 2008. The regression models from the rice variety experiment in 2008 were used to calculate predicted values with NDVI after heading of main rice in 2009. The results showed that the predicted values of biomass, N uptake, and LAI in ratoon rice were significantly different to measured values. However, there were exponential and significantly positive correlation (p < 0.05) between biomass and N uptake and LAI in ratoon rice and NDVI after heading of main rice in 2009. Therefore, it suggested that regression models were not perfect, and need to be improved adding more parameters about spectral characteristic of main and ratoon rice.

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Section: Discussionmentioning

confidence: 99%

Predicting ratoon rice growth rhythm based on NDVI at key growth stages of main rice

Liu

2015

Chilean J. Agric. Res.

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“…Site-Specific Nutrient Management (SSNM) involves optimizing nutrient inputs considering demand (plant needs) and supply (from soils indigenous sources) of the nutrients according to their variation in time and space thereby ensuring field-specific nutrient management in a particular cropping season 10 , 11 . Various technologies and practices such as Chlorophyll Meter 12 , Leaf Color Chart 13 , GreenSeeker 14 and decision support systems for instance Nutrient Expert (NE) ( http://software.ipni.net ) and Rice Crop Manager ( http://cropmanager.irri.org/home ) are available for helping farmers to implement SSNM and improve NUE 9 , 15 . The NE tool was developed to implement crop nutrient management specific to farmers' fields with or without a soil test 16 .…”

Section: Introductionmentioning

confidence: 99%

Crop nutrient management using Nutrient Expert improves yield, increases farmers’ income and reduces greenhouse gas emissions

Sapkota

Jat

Rana³

et al. 2021

Sci Rep

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Reduction of excess nutrient application and balanced fertilizer use are the key mitigation options in agriculture. We evaluated Nutrient Expert (NE) tool-based site-specific nutrient management (SSNM) in rice and wheat crops by establishing 1594 side-by-side comparison trials with farmers’ fertilization practices (FFP) across the Indo-Gangetic Plains (IGP) of India. We found that NE-based fertilizer management can lower global warming potential (GWP) by about 2.5% in rice, and between 12 and 20% in wheat over FFP. More than 80% of the participating farmers increased their crop yield and farm income by applying the NE-based fertilizer recommendation. We also observed that increased crop yield and reduced fertilizer consumption and associated greenhouse gas (GHG) emissions by using NE was significantly influenced by the crop type, agro-ecology, soil properties and farmers’ current level of fertilization. Adoption of NE-based fertilizer recommendation practice in all rice and wheat acreage in India would translate into 13.92 million tonnes (Mt) more rice and wheat production with 1.44 Mt less N fertilizer use, and a reduction in GHG of 5.34 Mt CO2e per year over farmers’ current practice. Our study establishes the utility of NE to help implement SSNM in smallholder production systems for increasing crop yields and farmers’ income while reducing GHG emissions.

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“…use of inorganic fertilizer, irrigation, and advanced mechanization (Zhang et al, 2015). For example, the world's population increased from 3 to 7.5 billion during 1960-2016, and fertilizer N consumption during this period increased by almost 10-fold to an annual average of approximately 110 Tg N year −1 (Battye et al, 2017;Benbi, 2017). By 2008, inorganic N fertilizers fed up to 50% of the world's population (Erisman et al, 2008).…”

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confidence: 99%

Meta‐analysis of yield and nitrous oxide outcomes for nitrogen management in agriculture

Maaz

Sapkota

Eagle

et al. 2021

Global Change Biology

101

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Site-specific fertilizer nitrogen management in irrigated transplanted rice (Oryza sativa) using an optical sensor

Cited by 57 publications

References 30 publications

Predicting ratoon rice growth rhythm based on NDVI at key growth stages of main rice

Predicting ratoon rice growth rhythm based on NDVI at key growth stages of main rice

Crop nutrient management using Nutrient Expert improves yield, increases farmers’ income and reduces greenhouse gas emissions

Meta‐analysis of yield and nitrous oxide outcomes for nitrogen management in agriculture

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