Nutrient uptake and export from an Australian cotton field

Rochester, Ian

doi:10.1007/s10705-006-9058-2

Cited by 73 publications

(56 citation statements)

References 17 publications

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“…The values for total N uptake of sole cotton, ranging from 110 to 127 kg ha −1 in 2002, 2003 and 2004, were within the range (67-403 kg ha −1 ) reported by Rochester (2007), but lower than found by Ishaq et al (2001) and Sainju et al (2006). Total N uptake did not differ from the monoculture in any intercropping system in 2002; however, in 2003 similar N uptake as in monoculture was only found in intercropping systems 3:2 and 4:2 and a lower uptake in the 3:1 and 6:2 systems.…”

Section: Discussionsupporting

confidence: 82%

Nitrogen economy in relay intercropping systems of wheat and cotton

et al. 2007

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Section: Discussionsupporting

confidence: 82%

Nitrogen economy in relay intercropping systems of wheat and cotton

et al. 2007

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“…In cotton, crop biomass has been reported to correlate well with lint yield [36]. Studies conducted to assess yield prediction from remote sensing have generally showed that lint yield correlates better at early-mid stages of the crop with NDVI than with chlorophyll-sensitive indices [15][16][17].…”

Section: Lint Yield Predictionmentioning

confidence: 99%

Assessment of In-Season Cotton Nitrogen Status and Lint Yield Prediction from Unmanned Aerial System Imagery

et al. 2017

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Abstract:The present work assessed the usefulness of a set of spectral indices obtained from an unmanned aerial system (UAS) for tracking spatial and temporal variability of nitrogen (N) status as well as for predicting lint yield in a commercial cotton (Gossypium hirsutum L.) farm. Organic, inorganic and a combination of both types of fertilizers were used to provide a range of eight N rates from 0 to 340 kg N ha −1 . Multi-spectral images (reflectance in the blue, green, red, red edge and near infrared bands) were acquired on seven days throughout the season, from 62 to 169 days after sowing (DAS), and data were used to compute structure-and chlorophyll-sensitive vegetation indices (VIs). Above-ground plant biomass was sampled at first flower, first cracked boll and maturity and total plant N concentration (N%) and N uptake determined. Lint yield was determined at harvest and the relationships with the VIs explored. Results showed that differences in plant N% and N uptake between treatments increased as the season progressed. Early in the season, when fertilizer applications can still have an effect on lint yield, the simplified canopy chlorophyll content index (SCCCI) was the index that best explained the variation in N uptake and plant N% between treatments. Around first cracked boll and maturity, the linear regression obtained for the relationships between the VIs and both plant N% and N uptake was statistically significant, with the highest r 2 values obtained at maturity. The normalized difference red edge (NDRE) index, and SCCCI were generally the indices that best distinguished the treatments according to the N uptake and total plant N%. Treatments with the highest N rates (from 307 to 340 kg N ha −1 ) had lower normalized difference vegetation index (NDVI) than treatments with 0 and 130 kg N ha −1 at the first measurement day (62 DAS), suggesting that factors other than fertilization N rate affected plant growth at this early stage of the crop. This fact affected the earliest date at which the structure-sensitive indices NDVI and the visible atmospherically resistant index (VARI) enabled yield prediction (97 DAS). A statistically significant linear regression was obtained for the relationships between SCCCI and NDRE with lint yield at 83 DAS. Overall, this study shows the practicality of using an UAS to monitor the spatial and temporal variability of cotton N status in commercial farms. It also illustrates the challenges of using multi-spectral information for fertilization recommendation in cotton at early stages of the crop.

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“…14-24 kg -1 seed cotton in Rajasthan to Tamilnadu during 2007-09 which was basis for MSP [11]. 5.6.1 Fertilizer consumption steeply increased from 2005 onwards (Fig.…”

Section: Cost Of Production In India Variesmentioning

confidence: 96%

“…8)[41]- [43]. Fertilizer input cost was beyond doubled in 2011 after introduction of nutrient based subsidy system [6], [11]. (Fig.…”

Section: Cost Of Production In India Variesmentioning

confidence: 99%

Impact of Insect Resistant Cotton

Ravinder¹

2013

IOSR-JAVS

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I. Importance in economy.Cotton crop covers 7% cropped area, cotton textile industry contributes 4% of GDP, 14% of total industrial product, 20% of total work force, 17% of country's exports earning and employment to 40 million people in seed cotton production and 20 million people in finished textile goods. Cotton competes with polyester for lack of durability, wash and wear properties, ultimately reaches consumer as blended textiles and apparels [1], [2]. Bt hybrid cotton covers 92% of the cotton area planted and 95% of the cotton production [100], [103].

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Nutrient uptake and export from an Australian cotton field

Cited by 73 publications

References 17 publications

Nitrogen economy in relay intercropping systems of wheat and cotton

Nitrogen economy in relay intercropping systems of wheat and cotton

Assessment of In-Season Cotton Nitrogen Status and Lint Yield Prediction from Unmanned Aerial System Imagery

Impact of Insect Resistant Cotton

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