Bioinformatics for plant genetics and breeding research

Simple item page
cg.authorship.typesCGIAR and developing country instituteen
cg.contributor.affiliationDr. Rajendra Prasad Central Agricultural Universityen
cg.contributor.affiliationShandong Academy of Agricultural Sciencesen
cg.contributor.affiliationUniversity of Southern Queenslanden
cg.contributor.affiliationUniversity of Agricultural Sciences, Indiaen
cg.contributor.affiliationCentral University of Karnataka, Indiaen
cg.contributor.affiliationRV College of Engineering, Indiaen
cg.contributor.affiliationInternational Institute of Tropical Agricultureen
cg.contributor.affiliationUniversity College Londonen
cg.contributor.affiliationDr. Fort Valley State Universityen
cg.contributor.affiliationInternational Crops Research Institute for the Semi-Arid Tropicsen
cg.contributor.affiliationMurdoch Universityen
cg.creator.identifierTrushar Shah: 0000-0002-0091-7981en
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.1007/978-981-99-4673-0_3en
cg.identifier.iitathemeBIOTECH & PLANT BREEDINGen
cg.isbn978-981-99-4672-3en
cg.placeGateway East, Singaporeen
cg.reviewStatusPeer Reviewen
cg.subject.iitaAGRONOMYen
cg.subject.iitaFOOD SECURITYen
cg.subject.iitaGENETIC IMPROVEMENTen
cg.subject.iitaPLANT BREEDINGen
cg.subject.impactAreaNutrition, health and food security
cg.subject.impactPlatformNutrition, Health and Food Security
cg.subject.sdgSDG 2 - Zero hungeren
dc.contributor.authorNaik, Y.D.en
dc.contributor.authorZhao, C.en
dc.contributor.authorChannale, S.en
dc.contributor.authorNayak, S.N.en
dc.contributor.authorBhutia, K.L.en
dc.contributor.authorGautam, A.en
dc.contributor.authorKumar, R.en
dc.contributor.authorNiranjan, V.en
dc.contributor.authorShah, T.M.en
dc.contributor.authorMott, R.en
dc.contributor.authorPunnuri, S.en
dc.contributor.authorPandey, M.K.en
dc.contributor.authorWang, X.en
dc.contributor.authorVarshney, R.K.en
dc.contributor.authorThudi, M.en
dc.date.accessioned2024-11-11T11:13:43Zen
dc.date.available2024-11-11T11:13:43Zen
dc.identifier.urihttps://hdl.handle.net/10568/159490
dc.titleBioinformatics for plant genetics and breeding researchen
dcterms.abstractGlobal food demand is expected to increase between 55 and 70% by 2050. Plant breeders and geneticists are constantly under pressure to develop high-yielding climate-resilient varieties using novel approaches. The quest for simplifying complex traits and efforts for developing high-yielding varieties during the twenty-first century led to a paradigm shift from phenotypic-based selection to genome-based breeding. On one hand, the development and utilization of diverse genetic resources, and advances in genomics on the other hand provided a kick start for the understanding the genetics of economically important complex traits at a faster pace. Further, the next-generation sequencing revolutionized our understanding of the genome architecture. As a result, there has been an increasing demand for statistical and bioinformatics tools to analyse and manage the enormous amount of data generated from sequencing of genomes, transcriptomes, proteome and metabolomes. In this chapter, we review the intervention of bioinformatics and computational tools for deploying the tremendous wealth of data for plant genetics and breeding research.en
dcterms.accessRightsLimited Access
dcterms.audienceScientistsen
dcterms.bibliographicCitationNaik, Y.D., Zhao, C., Channale, S., Nayak, S.N., Bhutia, K.L., Gautam, A., ... & Thudi, M. (2024). Bioinformatics for plant genetics and breeding research. In: M.K. Pandey, A. Bentley, H. Desmae, M. Roorkiwal, and R.K. Varshney (eds), Frontier technologies for crop improvement. Sustainability sciences in Asia and Africa. Singapore: Springer Nature Singapore, (pp. 35-64).en
dcterms.descriptionPublished online: 24 Jan. 2024en
dcterms.extentp. 35-64en
dcterms.issued2024en
dcterms.languageen
dcterms.licenseCopyrighted; all rights reserved
dcterms.publisherSpringeren
dcterms.subjectbioinformaticsen
dcterms.subjectplant geneticsen
dcterms.subjectbreedingen
dcterms.subjectgenomesen
dcterms.typeBook Chapter

Files

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

IITA Books and Book Chapters