Precision nutrient management in conservation agriculture based wheat production of Northwest India: Profitability, nutrient use efficiency and environmental footprint

Sapkota, Tek B.; Majumdar, Kaushik; Jat, M.L.; Kumar, Arun; Bishnoi, Dalip Kumar; McDonald, Andrew J.; Pampolino, Mirasol F.

doi:10.1016/j.fcr.2013.09.001

Cited by 191 publications

(128 citation statements)

References 21 publications

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“…These findings support Saifuzzaman et al (2011b), who proposed a revision of national N rate recommendations in light of the consequences of late-sown wheat. Site-specific nutrient management (SSNM) approaches, which capture the spatial and temporal variability in soil fertility and provide recommendations to split nutrient doses based on crop need (Sapkota et al, 2014), should also be evaluated to fine-tune recommendations.…”

Section: Discussionmentioning

confidence: 99%

Forgoing the fallow in Bangladesh's stress-prone coastal deltaic environments: Effect of sowing date, nitrogen, and genotype on wheat yield in farmers’ fields

Krupnik

Ahmed

Timsina

et al. 2015

Field Crops Research

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Section: Discussionmentioning

confidence: 99%

Forgoing the fallow in Bangladesh's stress-prone coastal deltaic environments: Effect of sowing date, nitrogen, and genotype on wheat yield in farmers’ fields

Krupnik

Ahmed

Timsina

et al. 2015

Field Crops Research

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“…Among the technologies used in precision agriculture is the application of fertilizer at varying rates, in which the appropriate amount of fertilizer is identified and applied at each point of the cultivated area (THRIKAWALA et al, 1999;MULLA, 2013;SAPKOTA et al, 2014). This approach can not only increase productivity but also reduce its environmental impact (SCHARF et al, 2011;LI et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Temporal Variability in Active Reflectance Sensor-Measured Ndvi in Soybean and Wheat Crops

et al. 2017

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ABSTRACT:Optimization of N management is one of the great challenges to be overcome in grain production, as it is directly related to productivity and can also cause environmental damage. Precision agriculture aims to solve this problem by applying nitrogen fertilizer at varying rates. Reflectance sensors are instruments capable of estimating N needs in various crops, including grain crops. However, it is not clear how these sensors perform under varying solar radiation and cloud cover, due to a lack of research on their temporal variability. Thus, this study examined the temporal variability of the NDVI (normalized difference vegetation index), as measured by an active reflectance sensor, in both soybean and wheat crops. The NDVI data were collected using a GreenSeeker sensor every 15 minutes over 12 or 14 consecutive hours. Incident solar radiation was recorded using an Instrutherm MES-100 pyranometer. In all experiments in soybean and wheat, NDVI was negatively influenced by irradiation, showing higher values at the beginning and end of the day. Changes in cloud cover also affected NDVI values during the experiments.

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“…Rice yields were far more stable and varied within a short range as the NE recommendation for each individual farmer was designed to achieve the maximum attainable yield of HYV rice in the kharif season. Studies using NE for other crops like maize and wheat also showed significant yield advantage from the tool-based fertilizer recommendation as compared to existing practices (Satyanarayana et al, 2012;Sapkota et al, 2014). Dobermann et al, 2004 also reported the same result that NE or SSNM practice showed the highest yield than the farmer practice.…”

Section: Resultsmentioning

confidence: 94%

Evaluation of Different Nutrient Management Practices in Yield of Different Rice Cultivars in Lamjung District of Nepal

Ranabhat¹,

Amgain²

2016

Int J Appl Sci Biotechnol

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A field experiment was conducted on farmer's field at two sites of Lamjung district of Nepal viz. Bhotewodar and Sundarbazaar to evaluate the performance of two commonly grown rice varieties viz US-382(hybrid) and Ramdhan (improved) under two nutrient management practices [Nutrient Expert®(NE) rice model recommendation, and government recommendation(GR)].Four replicates of four treatments were arranged in randomized completely block design. Rice varieties responded differently under the different nutrient management practices in terms of plant height, grains per panicle, sterility%, panicle weight, grain yield at 15% moisture, straw yield and harvesting index. The highest grain yield was obtained from NE field of US-382 variety which was followed by GR for US-382, NE for Ramdhan and GR for Ramdhan variety. NE based practices for US-382 variety produced higher biological yield as compared to GR. NE estimated attainable rice yield provided by the software compared with actual rice yield from the trials in farmer's field and NE-based fertilizer recommendations proved the validity in reaching the yield targets estimated by the software. The observed rice yields recorded in the trials were higher than the NE estimated attainable yields, so NE recommendation for US-382 variety was found better over GR

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Precision nutrient management in conservation agriculture based wheat production of Northwest India: Profitability, nutrient use efficiency and environmental footprint

Cited by 191 publications

References 21 publications

Forgoing the fallow in Bangladesh's stress-prone coastal deltaic environments: Effect of sowing date, nitrogen, and genotype on wheat yield in farmers’ fields

Forgoing the fallow in Bangladesh's stress-prone coastal deltaic environments: Effect of sowing date, nitrogen, and genotype on wheat yield in farmers’ fields

Temporal Variability in Active Reflectance Sensor-Measured Ndvi in Soybean and Wheat Crops

Evaluation of Different Nutrient Management Practices in Yield of Different Rice Cultivars in Lamjung District of Nepal

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