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Integrating Phenomics with Breeding for Climate-Smart Agriculture

Bohra, A., Satheesh Naik, S.J., Kumari, A., Tiwari, A. and Joshi, R. (2021) Integrating Phenomics with Breeding for Climate-Smart Agriculture. In: Omics Technologies for Sustainable Agriculture and Global Food Security (Vol II). Springer Singapore, pp. 1-24.

Link to Published Version: https://doi.org/10.1007/978-981-16-2956-3_1
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Abstract

Increasing food demand, with the burgeoning population worldwide is reaching an alarming condition along with depleting resources and unpredictable climatic vagaries. Thus, twenty-first century agriculture is facing a daunting task of developing high-yielding and multiple stress tolerant plants to ensure food security. Thus, in-depth analysis of crop stress response is essentially required. Therefore, linking phenomics with crop breeding programs can fill the gap between complex targeted traits and genotypic responses. Phenotyping ensures reliable data for predicted trait, during identification and selection of improved varieties in conventional breeding programs. Besides this, high-throughput phenotyping helps in delineating phenotypic and genotypic associations along with characterization of potential genomic regions for forward genetics in molecular breeding. Recent advancements in high-throughput automated imaging techniques provide huge amount of data and high-resolution images. To make precise decisions, specific tools are required to disentangle this huge array of data. We uncovered here a comprehensive overview of (1) phenomic techniques for climate smart agriculture, (2) association between breeding and phenomics, and (3) strategies for big data analysis for crop improvement programs. To conclude, automated plant phenotyping techniques are precise tools for in-depth analysis and identification of traits responsible for crop improvement.

Item Type: Book Chapter
Publisher: Springer Singapore
Copyright: © 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Other Information: Vol. II
URI: http://researchrepository.murdoch.edu.au/id/eprint/66357
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