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Cotton Production and Uses pp 589–628Cite as

Modern Concepts and Techniques for Better Cotton Production

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Abstract

Sustainable cotton production in current environmental conditions is under threat due to climatic variability and shortage of ever-decreasing resources for agricultural crops. There is dire need to improve the cotton production to fulfill increasing demands of the ever increasing world population which will rise up to nine billion till 2050. Poor soil health, poor water quality and water shortage, insect pest complex, and unpredictable climatic patterns are predominant problems to cotton production. Hence, there is a great challenge to manage cotton crop in a sustainable fashion without the degradation of soil, water, and environment due to climate variability. There are several factors associated with low production of cotton including improper sowing and picking, poor pesticide spraying approaches, inappropriate amount and time of irrigation, processing and ginning through inappropriate and primitive procedures, heat stress, lack of disease- and pest-tolerant varieties, improper nutrient management, improper disease management, and improper weed management. It is the need of the hour to adopt the modern technologies and applications for sustainable cotton production. There are several modern technologies which can increase the production of cotton and make the idea of sustainability feasible because of their site-specific management of all agricultural inputs. GPS, GIS, and remote sensing technologies make the precise seeding of cotton seed, fertilizers, and pesticides. IPM, IWM, and INM are the well-developed modern concepts which not only reduce the cost of production but also mitigate the emission of greenhouse gases. For sustainable cotton production, implementation of these modern concepts is crucial so that the human beings will get benefits in the future. Therefore, this chapter will be focused on the recently developed technologies which can be sustainably utilized for the better management of cotton crop across the world. This chapter will explore the importance of Decision Support system (DSS) for sustainable cotton production; role of GPS, GIS, and remote sensing for identifying site-specific factors such as soil quality indicators; importance of transgenic cotton; impact of mechanical sowing and picking on sustainable cotton production; use of UAVs for nutrient and pesticide management; and impacts of modern concepts on increasing agronomic production and advancing global fiber and oil security.

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Abbreviations

ARIMA:

Autoregressive integrated moving average

ARMA:

Autoregressive moving average

CSM:

Cropping system model

DSS:

Decision support system

EC:

Electrical conductivity

ET:

Evapotranspiration

FDR:

Frequency domain reflectometry

GIS:

Geographic information system

GPS:

Global positioning system

GSM:

Global system for mobile communication

IPM:

Integrated pest management

IRS:

Information retrieval system

IWM:

Integrated weed management

LAI:

Leaf area index

MARS:

Marker-assisted recurrent selection

MAS:

Marker-assisted selection

NDVI:

Normalized difference vegetation index

NMR:

Nuclear magnetic resonance

PA:

Precision agriculture

RS:

Remote sensing

SCY:

Seed cotton yield

SEBAL:

Surface energy balance algorithm for land

UAV:

Unmanned aerial vehicle

VRA:

Variable rate application

VWC:

Volumetric water content

WHO:

World Health Organization

WUE:

Water use efficiency

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Authors and Affiliations

  1. Department of Agronomy, Muhammad Nawaz Shareef University of Agriculture, Multan, Pakistan

    Abdul Ghaffar, Muhammad Habib ur Rahman, Hafiz Rizwan Ali, Ghulam Haider & Saeed Ahmad

  2. Institute of Crop Science and Resource Conservation (INRES) Crop Science Group, University Bonn, Bonn, Germany

    Muhammad Habib ur Rahman

  3. Department of Agriculture, University of Swabi, Swabi, Khyber Pakhtunkhwa, Pakistan

    Shah Fahad

  4. College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, P.R. China

    Shah Fahad

  5. Department of Agronomy, Faculty of Agricultural Sciences and Technology, Bahauddin Zakariya University, Multan, Pakistan

    Shakeel Ahmad

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    Shakeel Ahmad

  2. Department of Agronomy, Faculty of Agriculture, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh

    Mirza Hasanuzzaman

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Ghaffar, A. et al. (2020). Modern Concepts and Techniques for Better Cotton Production. In: Ahmad, S., Hasanuzzaman, M. (eds) Cotton Production and Uses. Springer, Singapore. https://doi.org/10.1007/978-981-15-1472-2_29

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