Future-Proofing Plants Against Climate Change: A Path to Ensure Sustainable Food Systems

Majhi, Prasanta Kumar; Raza, Basit; Behera, Partha Pratim; Singh, Satish Kumar; Shiv, Aalok; Mogali, Suma C.; Bhoi, Tanmaya Kumar; Patra, Biswa Ranjan; Behera, Biswaranjan

doi:10.1007/978-3-031-07434-9_3

Cited by 5 publications

(2 citation statements)

References 183 publications

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“…The widespread loss of soil fertility throughout the world threatens food security and sustainable development. Globally, it is estimated that human activity and climate change have seriously endangered the soil fertility of more than one billion acres of land [1,2]. To ensure sustainable agricultural production, the regular monitoring and evaluation of soil fertility and its parameters are crucial [3].…”

Section: Introductionmentioning

confidence: 99%

Combining Fuzzy, Multicriteria and Mapping Techniques to Assess Soil Fertility for Agricultural Development: A Case Study of Firozabad District, Uttar Pradesh, India

Saraswat

Ram

AbdelRahman

et al. 2023

Land

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Soil fertility (SF) assessment is an important strategy for identifying agriculturally productive lands, particularly in areas that are vulnerable to climate change. This research focuses on detecting SF zones in Firozabad district, Uttar Pradesh, India, for agricultural purposes, so that they can be prioritized for future management using the fuzzy technique in the Arc GIS model-builder. The model computing technique was also deployed to determine the different fertility zones, considering 17 soil parameters. The derived fuzzy technique outperformed the traditional method of dividing the sampling sites into clusters to correlate soil fertility classes with the studied soil samples. The prioritization of the soil factors and a spatial analysis of the fertility areas were carried out using the Analytic Hierarchy Process (AHP) and GIS tools, respectively. The AHP analysis outcome indicated that hydraulic properties had the highest weighted value, followed by physical and chemical properties, regarding their influence on SF. The spatial distribution map of physico-chemical properties also clearly depicts the standard classification. A fuzzy priority map was implemented based on all the classes parameters to identify the five fertility classes of the soil, namely very high (0.05%); high (16.59%); medium (60.94%); low (22.34%); and very low (0.07% of total area). This study will be of significant value to planners and policymakers in the future planning and development of activities and schemes that aim to solve similar problems across the country.

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Section: Introductionmentioning

confidence: 99%

Combining Fuzzy, Multicriteria and Mapping Techniques to Assess Soil Fertility for Agricultural Development: A Case Study of Firozabad District, Uttar Pradesh, India

Saraswat

Ram

AbdelRahman

et al. 2023

Land

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“…According to the FAO's estimation [10], plant diseases and insect pests reduce agricultural output globally by 20-40% annually. In the era of climate change and uncertain weather patterns, researchers anticipated a sharp reduction in agricultural output [11,12]. According to [13], climatic changes may make phytophagous pests more dangerous to crops by raising the risk they pose.…”

Section: Introductionmentioning

confidence: 99%

Unveiling the Genetic Symphony: Harnessing CRISPR-Cas Genome Editing for Effective Insect Pest Management

Komal,

Desai,

Samal

et al. 2023

Plants

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Phytophagous insects pose a significant threat to global crop yield and food security. The need for increased agricultural output while reducing dependence on harmful synthetic insecticides necessitates the implementation of innovative methods. The utilization of CRISPR-Cas (Clustered regularly interspaced short palindromic repeats) technology to develop insect pest-resistant plants is believed to be a highly effective approach in reducing production expenses and enhancing the profitability of farms. Insect genome research provides vital insights into gene functions, allowing for a better knowledge of insect biology, adaptability, and the development of targeted pest management and disease prevention measures. The CRISPR-Cas gene editing technique has the capability to modify the DNA of insects, either to trigger a gene drive or to overcome their resistance to specific insecticides. The advancements in CRISPR technology and its various applications have shown potential in developing insect-resistant varieties of plants and other strategies for effective pest management through a sustainable approach. This could have significant consequences for ensuring food security. This approach involves using genome editing to create modified insects or crop plants. The article critically analyzed and discussed the potential and challenges associated with exploring and utilizing CRISPR-Cas technology for reducing insect pest pressure in crop plants.

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Potentially toxic metals contamination, health risk, and source apportionment in the agricultural soils around industrial areas, Firozabad, Uttar Pradesh, India: a multivariate statistical approach

Saraswat

Ram

Raza

et al. 2023

Environ Monit Assess

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Future-Proofing Plants Against Climate Change: A Path to Ensure Sustainable Food Systems

Cited by 5 publications

References 183 publications

Combining Fuzzy, Multicriteria and Mapping Techniques to Assess Soil Fertility for Agricultural Development: A Case Study of Firozabad District, Uttar Pradesh, India

Combining Fuzzy, Multicriteria and Mapping Techniques to Assess Soil Fertility for Agricultural Development: A Case Study of Firozabad District, Uttar Pradesh, India

Unveiling the Genetic Symphony: Harnessing CRISPR-Cas Genome Editing for Effective Insect Pest Management

Potentially toxic metals contamination, health risk, and source apportionment in the agricultural soils around industrial areas, Firozabad, Uttar Pradesh, India: a multivariate statistical approach

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