Climate-Resilient Crops

Zohry, Abd El-Hafeez; Ouda, Samiha

doi:10.1007/978-3-030-93111-7_6

Cited by 3 publications

(2 citation statements)

References 93 publications

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“…They are intended to maintain or increase crop yields under stressful conditions viz. flood, droughts, higher average temperatures and other climatic conditions (Zohry and Ouda, 2022). In the present study, the climate resilient crops are those which are flood tolerant.…”

Section: Discussionmentioning

confidence: 68%

Climate Resilient Farming and Food Security of Farmers: A Study of Different Flood Hazard Zones of Assam

Hussain,

Guha

2023

IJAE

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The present study has made an attempt to explore if the area expansion under climate-resilient farming assists food security of the farmers using primary data collected from farm households in five different flood hazard zones of Assam. Though increase in total cultivated area, crop diversity index, access to irrigation and extension services, degree of flood hazardousness was associated with greater proportion of land devoted for climate-resilient farming, but the share of climate resilient crop area in total land under cultivation was meagre across the farm households in the study area. Hence, besides improving the spread of irrigation policies should focus on disseminating the knowledge of climate resilient agricultural practice and its benefits among the farmers of different landholding size by training them through enhanced extension services.

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Section: Discussionmentioning

confidence: 68%

Climate Resilient Farming and Food Security of Farmers: A Study of Different Flood Hazard Zones of Assam

Hussain,

Guha

2023

IJAE

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“…Climate-resilient crops maintain or increase crop yields and quality under various climatic and environmental changes, and possess the ability to resist multiple biotic and abiotic stresses. To this end, climate-resilient smart crops will allow crops to address the interlinked challenges of food security and climate change [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Applications of Artificial Intelligence in Climate-Resilient Smart-Crop Breeding

Khan

Wang

et al. 2022

IJMS

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Recently, Artificial intelligence (AI) has emerged as a revolutionary field, providing a great opportunity in shaping modern crop breeding, and is extensively used indoors for plant science. Advances in crop phenomics, enviromics, together with the other “omics” approaches are paving ways for elucidating the detailed complex biological mechanisms that motivate crop functions in response to environmental trepidations. These “omics” approaches have provided plant researchers with precise tools to evaluate the important agronomic traits for larger-sized germplasm at a reduced time interval in the early growth stages. However, the big data and the complex relationships within impede the understanding of the complex mechanisms behind genes driving the agronomic-trait formations. AI brings huge computational power and many new tools and strategies for future breeding. The present review will encompass how applications of AI technology, utilized for current breeding practice, assist to solve the problem in high-throughput phenotyping and gene functional analysis, and how advances in AI technologies bring new opportunities for future breeding, to make envirotyping data widely utilized in breeding. Furthermore, in the current breeding methods, linking genotype to phenotype remains a massive challenge and impedes the optimal application of high-throughput field phenotyping, genomics, and enviromics. In this review, we elaborate on how AI will be the preferred tool to increase the accuracy in high-throughput crop phenotyping, genotyping, and envirotyping data; moreover, we explore the developing approaches and challenges for multiomics big computing data integration. Therefore, the integration of AI with “omics” tools can allow rapid gene identification and eventually accelerate crop-improvement programs.

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