Shading and Nitrogen Effects on Cotton Earliness Assessed by Boll Yield Distribution

Raphael, Juan Piero Antonio; Echer, Fábio Rafael; Rosolem, Ciro Antônio

doi:10.2135/cropsci2018.05.0343

Cited by 14 publications

(6 citation statements)

References 37 publications

(58 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The cotton yield is determined by a few key factors, including species and genetics [1], soil [2] and nutrition [3,4] conditions, weather [5], irrigation [6,7], and management events [8]. Specifically, cotton is a perennial warm-season crop that requires a long growing period.…”

Section: Introductionmentioning

confidence: 99%

Cotton Yield Estimate Using Sentinel-2 Data and an Ecosystem Model over the Southern US

Mostovoy

2019

Remote Sensing

View full text Add to dashboard Cite

High-resolution data with nearly global coverage from Sentinel-2 mission open a new era for crop growth monitoring and yield estimation from remote sensing. The objective of this study is to demonstrate the potential of using Sentinel-2 biophysical data combined with an ecosystem modeling approach for estimation of cotton yield in the southern United States (US). The Boreal Ecosystems Productivity Simulator (BEPS) ecosystem model was used to simulate the cotton gross primary production (GPP) over three Sentinel-2 tiles located in Mississippi, Georgia, and Texas in 2017. Leaf area index (LAI) derived from Sentinel-2 measurements and hourly meteorological data from Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) reanalysis were used to drive the ecosystem model. The simulated GPP values at 20-m grid spacing were aggregated to the county level (17 counties in total) and compared to the cotton lint yield estimates at the county level which are available from National Agricultural Statistics Service in the United States Department of Agriculture. The results of the comparison show that the BEPS-simulated cotton GPP explains 85% of variation in cotton yield. Our study suggests that the integration of Sentinel-2 LAI time series into the ecosystem model results in reliable estimates of cotton yield.

show abstract

Section: Introductionmentioning

confidence: 99%

Cotton Yield Estimate Using Sentinel-2 Data and an Ecosystem Model over the Southern US

Mostovoy

2019

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Similar results were obtained in this study. Studies have shown that either insufficient or excessive nitrogen application can lead to decreased yield ( Raphael et al., 2019 ; Hassanzadehdelouei et al., 2022 ). The results of this study demonstrate that amount of nitrogen application significantly affects cotton yield and quality.…”

Section: Discussionmentioning

confidence: 99%

Response of cotton growth, yield, and water and nitrogen use efficiency to nitrogen application rate and ionized brackish water irrigation under film-mulched drip fertigation

Wei,

Wang,

Deng

et al. 2024

Front. Plant Sci.

View full text Add to dashboard Cite

IntroductionThe presence of brackish water resources is significant in addressing the scarcity of freshwater resources, particularly in the Xinjiang region. Studies focused on reducing adverse effect of brackish water irrigation based on using ionized brackish water, as well as on investigating its effects on fibre and oil plant production processes, remain incipient in the literature. Some benefits of this technique are the optimization of the quality and quantity of irrigation water, economy of water absorbed by the plants, improvement in the vegetative growth and productivity compared to irrigation using conventional brackish water. Thus, the aim of the current study is to assess the effect of different nitrogen application rates on soil water and salinity, cotton growth and water and nitrogen use efficiency.MethodsThe experimental design consisted of completely randomized design with two water types (ionized and non-ionized) and six nitrogen application rates with four replications.ResultsIrrigation conducted with ionized brackish water and different nitrogen application rates had significant effect on the plant height, leaf area index, shoot dry matter, boll number per plant and chlorophyll content. The study also demonstrated significant effects of ionized brackish water on soil water content and soil salinity accumulation. The highest cotton production was achieved with the use of 350 kg·ha-1 of ionized brackish water for irrigation, resulting in an average increase of 11.5% compared to the use of non-ionized brackish water. The nitrogen application exhibits a quadratic relationship with nitrogen agronomic use efficiency and apparent nitrogen use efficiency, while it shows a liner relationship with nitrogen physiological use efficiency and nitrogen partial productivity. After taking into account soil salinity, cotton yield, water and nitrogen use efficiency, the optimal nitrogen application rate for ionized brackish water was determined to be 300 kg·ha-1.DiscussionIt is hoped that this study can contribute to improving water management, reducing the environmental impact without implying great costs for the producer.

show abstract

“…It determines plant growth, fruiting and seed cotton yield by regulates photosynthesis and other physiological processes [13]. Cotton earliness has also been found affected by N levels [14]. Nitrogen application increase yield and yield related traits of cotton [15].…”

Section: Introductionmentioning

confidence: 99%

Effect of Nitrogen Fertilizer Rates on the Yield and Yield Components of Cotton (Gossypium hirsutum L.) Varieties in Metema and Tach-Armachiho Districts, North-Western Ethiopia

Wassie

Feleke

Dejenie

et al. 2022

Preprint

View full text Add to dashboard Cite

Background The study was conducted in 2018/19 main cropping season at two locations in North-western Gondar Zone, Ethiopia, to evaluate the effects of nitrogen fertilizer rates on earliness, growth, and yield and yield components of cotton varieties. The experiment was laid in a randomized complete block design with three replications in a factorial arrangement of five N rates (0, 23, 46, 69, and 92 kg ha− 1) and two cotton varieties (Sisiku-02 and Delta pine-90). Results Significant main effect of N rates was observed for most of cotton phenological traits, plant height, number of main stem nodes and number of first fruiting branch nodes, average boll weight, cottonseed yield, lint yield and total cotton, whereas N fertilizer rates did not show difference regarding on days to initial flowering and lint percentage in both sites and days to initial squaring and height to node ratio at Tach-Armachiho, number of bolls per plant at Metema site. Main effect of varieties showed significant difference for all phonological traits, average boll weight, cottonseed, and lint yield and lint percentage for both sites. Significantly higher plant height, height to node ratio, number of first fruiting branch nodes and total boll numbers was recorded at Metema experimental site, while number of main stem nodes was non-significant due to main effect of varieties. However, in Tach-Armachiho main effects of varieties were non-significantly affected total boll numbers and most growth parameters except total dry matter production. The total dry matter production of the cotton plant in a plot was significantly influenced by their interaction effect at Metema. The maximum cottonseed yield, lint yield and total cotton yield were obtained at 92 kg ha-1 N rate at Metema and Tach-Armachiho sites. The higher lint yield and lint percentage were recorded on variety Sisiku-02, while higher cottonseed yield was found from variety Delta pine-90 in both sites. Similarly, the result of economic analysis showed that the maximum net benefit was obtained at main effect of 92 kg ha-1 N rate and Sisiku-02 variety. Conclusions Based on lint yield and economic analysis, use of Sisiku-02 variety with 92 kg ha-1 nitrogen rate is promising for cotton production in study areas and similar agro-ecologies

show abstract

Shading and Nitrogen Effects on Cotton Earliness Assessed by Boll Yield Distribution

Cited by 14 publications

References 37 publications

Cotton Yield Estimate Using Sentinel-2 Data and an Ecosystem Model over the Southern US

Cotton Yield Estimate Using Sentinel-2 Data and an Ecosystem Model over the Southern US

Response of cotton growth, yield, and water and nitrogen use efficiency to nitrogen application rate and ionized brackish water irrigation under film-mulched drip fertigation

Effect of Nitrogen Fertilizer Rates on the Yield and Yield Components of Cotton (Gossypium hirsutum L.) Varieties in Metema and Tach-Armachiho Districts, North-Western Ethiopia

Contact Info

Product

Resources

About