Assessment of the nitrogen management strategy using an optical sensor for irrigated wheat

Bijay‐Singh,; Sharma, Ramesh Kumar; Jaspreet-Kaur,; Jat, M.L.; Martin, K. L.; Yadvinder‐Singh,; Varinderpal-Singh,; Chandna, Parvesh; Choudhary, O. P.; Gupta, Rajeev Kumar; Thind, H. S.; Jagmohan-Singh,; Uppal, H. S.; Khurana, H.S.; Ajaykumar,; Uppal, Rajneet K.; Vashistha, Monika; Raun, W. R.; Gupta, Raj Kumar

doi:10.1007/s13593-011-0005-5

Cited by 93 publications

(39 citation statements)

References 25 publications

(38 reference statements)

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“…This nondestructive methodology using active sensors, that can be used day or night, is commercially available and has delivered increased profits for wheat and maize producers (Scharf et al, 2011). Added studies have used algorithms that employ mid-season sensor readings for predicting yield potential and via well-defined algorithms have resulted in refined fertilizer N rates (Bushong et al, 2016;Singh et al, 2011;Solie et al, 2012;Crain et al, 2012). This methodology has also resulted in more accurate prediction of agronomic optimum N rates compared to yield goal/soil test based methods.…”

Section: Discussionmentioning

confidence: 99%

Can Yield Goals Be Predicted?

et al. 2017

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Predicting required fertilizer N rates before planting a crop embodies the concept of establishing a pre-season yield goal and fertilizing for that expected yield. The study evaluates prediction of yield goals using data from long-term experiments. Winter wheat (Triticum aestivum L.) grain yield data from the Magruder plots (Stillwater, OK, 1930-present), Exp. 222 (Stillwater, OK, 1969-present), and Exp. 502 (Lahoma, OK, 1970-present) were used. Annual pre-plant N rates were applied for 87, 45, and 44 yr, respectively. Experiments 222 and 502 used randomized complete block experimental designs. This manuscript applied the theory that average yields over the last 3 to 5 yr can be used to predict the ensuing years' yield, or yield goal. For the Magruder plots, the "NPK" (67-15-29, N-P-K) and Check (0-0-0) Treatments were used. For Exp. 222, Treatments 1 and 4 (0-30-37 and 135-30-37) and in Exp. 502, Treatments 2 and 7 (0-20-55 and 112-20-55) were selected to test this concept. Wheat grain yield averages for the prior 3, 4, and/or 5 yr were not correlated with ensuing season yields in all three long-term experiments. Over sites and years, yield goal estimates were off by up to 3.69 Mg ha -1 . Failure of the yield goal concept to predict current-year yields is due to the unpredictable influence of environment. Mid-season prediction of yield potential using active sensors is a viable alternative for improved in-season cereal fertilizer N recommendations.

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Section: Discussionmentioning

confidence: 99%

Can Yield Goals Be Predicted?

et al. 2017

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“…In the plots with RDN, the total amount P and K and 33% of N was applied as basal dose at the time of seeding/transplanting and the remaining two-third of N was applied in two equal splits at 20-25 and 40-45 days after seeding/transplanting in rice and wheat. In the plots with 80% RDN + GS, total amount P and K along with 80% of RDN was applied as basal dose at the time of seeding/transplanting and the remaining N was applied as guided by the GS optical sensor using a standard calibration curve (Bijay-Singh et al 2011).…”

Section: Crop Managementmentioning

confidence: 99%

Tillage, residue and nitrogen management effects on methane and nitrous oxide emission from rice–wheat system of Indian Northwest Indo-Gangetic Plains

Sapkota

Jat

Shankar

et al. 2015

Journal of Integrative Environmental Sciences

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Zero-tillage, residue management and precision nutrient management techniques are being promoted in the rice-wheat (RW) production system of Indo-Gangetic Plains (IGPs) to enhance climate change adaptation and increase food production. These management practices may also influence greenhouse gas emissions through their effects on various soil processes such as oxidation-reduction and nitrification-denitrification. We measured soil fluxes of CH 4 and N 2 O in RW system under three tillage and residue management systems layered with four nitrogen (N) management treatments. The tillage and residue management systems comprised: conventional tillage (CT), zero-tillage without residue retention (ZT − R) and ZT with full residue retention (ZT + R) for both the crops. The four N management treatments for rice were: (a) basmati cultivar with recommended dose of nitrogen (RDN) applied in three splits, (b) basmati cultivar with 80% RDN as basal dose followed by Green Seeker (GS) guided N application, (c) hybrid cultivar with RDN applied in three splits and (d) hybrid with 80% RDN as basal dose followed by GS guided N application. The four N management treatments for wheat comprised combinations of RDN with and without relay green gram (GG), and 80% of RDN as basal dose followed by GS guided N application with and without relay GG. We employed the static chamber method to collect gas samples from the experimental plots which were subsequently analysed using gas chromatograph. Significant CH 4 emissions were detected only in the CT rice system during the initial phase of continuous flooding, irrespective of N management strategies. N fertilization management affected the pattern of N 2 O emission with higher emission rates during crop establishment phase under 80% RDN as basal followed by GS guided N application than conventional RDN. In case of wheat, 80% RDN as basal followed by GS guided N application also induced higher cumulative N 2 O emissions than applying RDN at three regular splits. In rice, ZT-based RW system emitted more N 2 O than CT-based system. Overall ZT-based RW system reduced CH 4 emission but this benefit is counterbalanced by higher N 2 O production compared to CT-based RW system.

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“…Nitrogen uptake of irrigated wheat proceeds very slowly until tillering begins, and N flux (kg N ha -1 day -1 ) increases to a maximum around Feekes six stage [7], which coincides with maximum tillering stage at second irrigation. BijaySingh et al [5] observed that high N use efficiency in irrigated wheat can be achieved by applying moderate amount of fertilizer N at planting and MT stages and sensor-guided fertilizer N dose at Feekes 5-6 or 7-8 stages of wheat.…”

Section: Resultsmentioning

confidence: 99%

“…The SPAD meter measurements at Zadok stages 37-41 (maximum number of florets per ear primordium) and Zadok stages 52-58 (pollen grains on well-developed stigmatic hairs) were useful in identifying wheat cultivars responsive or non-responsive to N application. Some recent studies on wheat [4,5,25] grown in the IGP have shown that a dose of fertilizer N needs to be applied at MT stage as per need of the crop to achieve high fertilizer N use efficiency. However, the criteria to decide application of fertilizer N dose were coupled with a well-defined fertilizer N management schedule at planting and at CRI stages.…”

Section: Resultsmentioning

confidence: 99%

Supplementing Fertilizer Nitrogen Application to Irrigated Wheat at Maximum Tillering Stage Using Chlorophyll Meter and Optical Sensor

et al. 2013

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In the Indo-Gangetic plain in South Asia, fertilizer nitrogen (N) application to irrigated wheat in two split doses at planting and at crown root initiation (CRI) stages of the crop is the general recommendation. Farmers have a tendency to apply another dose of N at maximum tillering (MT) stage to avoid the risk of N deficiency. However, appropriate criteria to decide MT stage application of N are lacking. Field experiments were conducted for three seasons with four wheat cultivars to develop criteria for using a chlorophyll (SPAD) meter and an optical sensor (GreenSeeker TM ) for guiding MT stage N application. Application of 0, 60, 80, 100 and 120 kg N ha -1 in two equal split doses at planting and at CRI stage constituted the main plots. The two subplots consisted of applying 0 and 30 kg N ha -1 at MT stage immediately after taking SPAD meter and GreenSeeker readings. Greenness of wheat leaves at MT stage was found to be a function of N applied at planting and CRI stages. Wheat grain yield at maturity was determined by the level of greenness of leaves at MT stage-whether measured by SPAD meter or GreenSeeker (expressed as in-season estimate of yield (INSEY) computed by dividing normalized difference vegetation index by number of days between planting and sensing). Grain yield response to N application at MT regressed against SPAD readings at MT revealed that an application of 30 kg N ha -1 will increase wheat yield by 1.0 or 0.5 t ha -1 when color of the wheat leaves was equivalent to or less than SPAD value of 32.5 or 42.5, respectively. Robust regression between grain yield response and INSEY values revealed that application of 30 kg N ha -1 at MT will lead to a grain yield increase by 1.0 or 0.5 t ha -1 if INSEY values were found to be 0.005 or 0.011, respectively. It should serve as an easy and useful criterion for applying a supplementary dose of fertilizer N at MT stage of wheat.

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Assessment of the nitrogen management strategy using an optical sensor for irrigated wheat

Abstract: International audienc

Cited by 93 publications

References 25 publications

Can Yield Goals Be Predicted?

Can Yield Goals Be Predicted?

Tillage, residue and nitrogen management effects on methane and nitrous oxide emission from rice–wheat system of Indian Northwest Indo-Gangetic Plains

Supplementing Fertilizer Nitrogen Application to Irrigated Wheat at Maximum Tillering Stage Using Chlorophyll Meter and Optical Sensor

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