Improved soil physical properties and cotton root parameters under sub-soiling enhance yield of Cotton-Wheat cropping system

Singh, Kulvir; Mishra, Sudhir Kumar; Singh, Harinder Pal; Singh, Arjun; Chaudhary, O. P.

doi:10.1016/j.dib.2019.103888

Cited by 6 publications

(6 citation statements)

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“…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

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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.

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Section: Introductionmentioning

confidence: 99%

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

Mostovoy

2019

Remote Sensing

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“…However, the depth of deep tillage and subsoiling generally ranges from 25 cm to 35 cm (Jin et al 2007;Motavalli et al 2003). Singh et al (2019aSingh et al ( , 2019b reported that subsoiling exerted a beneficial effect on soil physical properties by reducing the bulk density and improving the infiltration rate, and any subsoiling at 1.0 or 1.5 m once in 3 years has the potential to improve the productivity of cotton-wheat cropping systems.…”

Section: Discussionmentioning

confidence: 99%

“…Reeves and Mullins (1995) reported that subsoiling was necessary for maximum cotton yields on coastal plain soils with root-restricting hardpans. Borghei et al (2008) and Singh et al (2019aSingh et al ( , 2019b also reported that subsoiling improved soil productivity and cotton yield. However, Khalilian Akinci et al (2004) documented that the subsoiling treatments created statistically significant effects on the soil texture but did not affect cotton yield.…”

Section: Effects Of Soil Replacement Plus Subsoiling On Crop Yieldsmentioning

confidence: 97%

Soil replacement combined with subsoiling improves cotton yields

Wang

et al. 2019

J Cotton Res

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Background: Long-term rotary tillage has led to the deterioration of cotton production in northern China. This deterioration is due to the disturbance of topsoil, a dense plough pan at the 20-50 cm depth, and the decreased water storage capacity. A 2-yr field experiment was performed from 2014 to 2015 to explore a feasible soil tillage approach to halting the deterioration. The experiment consisted of four treatments: replacing the topsoil from the 0-15 cm layer with the subsoil from the 15-30 cm layer (T1); replacing the topsoil from the 0-20 cm layer with the subsoil from the 20-40 cm layer and subsoiling at the 40-55 cm layer (T2); replacing the topsoil from the 0-20 cm layer with the subsoil from the 20-40 cm layer and subsoiling at the 40-70 cm layer (T3); and conventional surface rotary tillage within 15 cm as the control (CK). Results: The results indicated that the soil bulk densities at the 20-40 cm layer in T2 were 0.13 g•cm − 3 and 0.15 g•cm − 3 lower than those obtained from CK in 2014 and 2015, respectively. The total nitrogen (N) and the available phosphorus (P) and potassium (K) contents from the 20-40 cm layer in T2 and T3 were significantly higher than those in CK and T1. The amount of soil water stored in the 0-40 cm layer of T2 at the squaring stage of cotton was 15.3 mm and 13.4 mm greater than that in CK in 2014 and 2015, respectively, when the weather was dry. Compared with CK, T2 increased cotton lint yield by 6.1 and 10.2 percentage points in 2014 and 2015, respectively, which was due to the improved roots within the 20-60 cm layer, the greater number of bolls per plant and the higher boll weight in the T2 treatment. Conclusions: The results suggested that soil replacement plus subsoiling would be a good alternative to current practices in order to break through the bottleneck constraining cotton production in northern China. Replacing the topsoil in the 0-20 cm layer with the soil from the 20-40 cm layer plus subsoiling at the 40-55 cm layer would be the most effective method.

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“…In studies at ICAR-CICR, Nagpur, Gotmare et al [92] reported genotypic differences were observed in terms of morphological adaptations such as lenticel and adventitious root formation when cotton plants subjected to waterlogged conditions. Agronomic practices such as sub-soiling prior to planting to improve root development and increase sufficient soil O 2 is necessary for root development [93].…”

Section: Waterloggingmentioning

confidence: 99%

Understanding Root Biology for Enhancing Cotton Production

Meshram¹,

Mahajan²,

Nagrale³

et al. 2021

Plant Roots

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Cotton is an important commercial crop grown in India. It occupies an area of about 12.7 million hectares and is grown both in irrigated as well as rainfed tracts. In such situations, roots are very important organ for plant growth and development, since they act as anchors, providing mechanical support, and chemical extractors for the growing plant. Root length density sets the proportion of water uptake both under wet conditions and dry soils. Cotton plants with efficient root system capture water and nutrients from soil having these features of longer tap root. It is widely accepted that breeding efforts on aboveground traits are not sufficient to the necessary yield advantage. Shifting the emphasis to analyzing the root system would provide an additional means to enhance yield under changing climatic condition. Belowground image analysis studies point to the importance of root system architecture for optimizing roots and rhizosphere dynamics for sustainable cotton production. In this review, we describe the cotton root biological context in which root-environment interactions providing an overview of the root growth morphology species wise, phytohormone action that control root growth, root anatomical significance in drying soils, biotic and abiotic stresses involved in controlling root growth and environmental responses.

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Improved soil physical properties and cotton root parameters under sub-soiling enhance yield of Cotton-Wheat cropping system

Cited by 6 publications

References 1 publication

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

Soil replacement combined with subsoiling improves cotton yields

Understanding Root Biology for Enhancing Cotton Production

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