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Current Status and Future Prospects of Next-Generation Data Management and Analytical Decision Support Tools for Enhancing Genetic Gains in Crops

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Relation http://oar.icrisat.org/10593/
 
Title Current Status and Future Prospects of Next-Generation Data Management and Analytical Decision Support Tools for Enhancing Genetic Gains in Crops
 
Creator Rathore, A
Singh, V K
Pandey, S K
Rao, C S
Thakur, V
Pandey, M K
Anil Kumar, V
Das, R R
 
Subject Data Management
Statistical Models
Agricultural Research
Genetics and Genomics
 
Description Agricultural disciplines are becoming data intensive and the agricultural research data generation technologies are becoming sophisticated and high throughput. On the one hand, high-throughput genotyping is generating petabytes of data; on the other hand, high-throughput phenotyping platforms are also generating data of similar magnitude. Under modern integrated crop breeding, scientists are working together by integrating genomic and phenomic data sets of huge data volumes on a routine basis. To manage such huge research data sets and use them appropriately in decision making, Data Management Analysis & Decision Support Tools (DMASTs) are a prerequisite. DMASTs are required for a range of operations including generating the correct breeding experiments, maintaining pedigrees, managing phenotypic data, storing and retrieving high-throughput genotypic data, performing analytics, including trial analysis, spatial adjustments, identifications of MTAs, predicting Genomic Breeding Values (GEBVs), and various selection indices. DMASTs are also a prerequisite for understanding trait dynamics, gene action, interactions, biology, GxE, and various other factors contributing to crop improvement programs by integrating data generated from various science streams. These tools have simplified scientists’ lives and empowered them in terms of data storage, data retrieval, data analytics, data visualization, and sharing with other researchers and collaborators. This chapter focuses on availability, uses, and gaps in present-day DMASTs.
 
Publisher Springer
 
Date 2018
 
Type Book Section
PeerReviewed
 
Format application/pdf
 
Language en
 
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Identifier http://oar.icrisat.org/10593/1/Current%20Status%20and%20Future%20Prospects%20of%20Next.pdf
Rathore, A and Singh, V K and Pandey, S K and Rao, C S and Thakur, V and Pandey, M K and Anil Kumar, V and Das, R R (2018) Current Status and Future Prospects of Next-Generation Data Management and Analytical Decision Support Tools for Enhancing Genetic Gains in Crops. In: Advances in Biochemical Engineering/Biotechnology. Advances in Biochemical Engineering/Biotechnology book series . Springer, Berlin, Heidelberg, pp. 1-16.