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dc.contributorSood, Ankitaen_US
dc.contributorHussain, Waseemen_US
dc.contributorKaldate, Rahulen_US
dc.contributorSharma, Tilak Rajen_US
dc.contributorGill, Ranjit Kauren_US
dc.contributorAgrawal, Shiv Kumaren_US
dc.contributorSingh, Sarvjeeten_US
dc.creatorRana, Maneeten_US
dc.date.accessioned2019-03-17T12:57:25Z
dc.date.available2019-03-17T12:57:25Z
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationManeet Rana, Ankita Sood, Waseem Hussain, Rahul Kaldate, Tilak Raj Sharma, Ranjit Kaur Gill, Shiv Kumar Agrawal, Sarvjeet Singh. (10/1/2019). Gene Pyramiding and Multiple Character Breeding, in "Lentils: Potential Resources for Enhancing Genetic Gains". Netherlands: Elsevier.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/9678
dc.description.abstractPlant breeders are often interested in improving several quantitative traits including yield, quality, and resistance to both biotic and abiotic stresses simultaneously. However, breeding for multiple traits together is challenging and largely depends on the choice of germplasm, and the genetics and genetic relationships among the traits under selection. Both conventional and molecular breeding approaches have been used to breed for multiple traits simultaneously. Several selection schemes including independent culling levels, tandem selection, and index selection have been developed and used to improve and integrate traits simultaneously. Of these, selection index was preferred in the past and has been used to improve the overall genotypic performance based simultaneously on several quantitative traits, even for traits with unfavorable associations. With the recent development and advancement in molecular marker technologies, molecular breeding has become preferred for targeted breeding and product development. Molecular breeding technologies including marker-assisted selection, marker-assisted backcrossing, marker-assisted recurrent selection, gene pyramiding, marker-assisted backcross gene pyramiding, and genomic selection have been used to introgress single or multiple genes. Multiple trait selection using selection indices based on information from both phenotypes and markers distributed across the whole genome has recently been practiced in various crops. Multiple trait selection is a realistic approach that can be exploited in lentil breeding programs to simultaneously improve multiple traits. In this chapter, we discuss various conventional and molecular approaches to breeding, improving, and integrating multiple traits into a single genetic background with relevance to lentil crops.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherElsevieren_US
dc.subjectmarker-assisted backcrossingen_US
dc.subjectmultiple traitsen_US
dc.subjectmarker-assisted recurrent selectionen_US
dc.titleGene Pyramiding and Multiple Character Breedingen_US
dc.typeBook Chapteren_US
dcterms.available2018-08-17en_US
dcterms.issued2019-01-10en_US
cg.creator.idAgrawal, Shiv Kumar: 0000-0001-8407-3562en_US
cg.subject.agrovocgene pyramidingen_US
cg.subject.agrovocgenomic selectionen_US
cg.subject.agrovoclentilsen_US
cg.subject.agrovocmarker-assisted selectionen_US
cg.subject.agrovocLentilen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerUniversity of Nebraska-Lincoln - UNLen_US
cg.contributor.centerPunjab Agricultural University - PAUen_US
cg.contributor.centerCSK Himachal Pradesh Agriculture University, Palampur - CSKHPKVen_US
cg.contributor.centerIndian Council of Agricultural Research, Indian Grassland and Fodder Research Institute - ICAR-IGFRIen_US
cg.contributor.centerIndian Council of Agricultural Research, Indian Institute of Agricultural Biotechnology - ICAR - IIABen_US
cg.contributor.crpCGIAR Research Program on Grain Legumes - GLen_US
cg.contributor.funderIndian Council of Agricultural Research - ICARen_US
cg.contributor.projectIndia Collaborative Program: Restricted funding for breeding for resistance to abiotic stresses in pulses & for 2017/2018 - 2017/2020 - 2020/2021en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.date.embargo-end-dateTimelessen_US
cg.contactmaneet.rana@icar.gov.inen_US
cg.identifier.doihttps://dx.doi.org/10.1016/B978-0-12-813522-8.00006-6en_US
dc.identifier.statusTimeless limited accessen_US
mel.project.openhttp://geoagro.icarda.org/india/en_US


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