Genomic selection for optimum index with dry biomass yield, dry mass fraction of fresh material, and plant height in biomass sorghum

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dc.authorid0000-0003-2731-2744en_US
dc.authorid0000-0002-7470-0080en_US
dc.contributor.authorHabyarimana, Ephrem
dc.contributor.authorLopez-Cruz, Marco
dc.contributor.authorBaloch, Faheem Shehzad
dc.date.accessioned2021-06-23T19:54:53Z
dc.date.available2021-06-23T19:54:53Z
dc.date.issued2020
dc.departmentBAİBÜ, Ziraat Fakültesi, Tarla Bitkileri Bölümüen_US
dc.description.abstractSorghum is one of the world's major crops, expresses traits for resilience to climate change, and can be used for several purposes including food and clean fuels. Multiple-trait genomic prediction and selection models were implemented using genotyping-by-sequencing single nucleotide polymorphism markers and phenotypic data information. We demonstrated for the first time the efficiency genomic selection modelling of index selection including biofuel traits such as aboveground biomass yield, plant height, and dry mass fraction of the fresh material. This work also sheds light, for the first time, on the promising potential of using the information from the populations grown from seed to predict the performance of the populations regrown from the rhizomes-even two winter seasons after the original trial was sown. Genomic selection modelling of the optimum index selection including the three traits of interest (plant height, aboveground dry biomass yield, and dry mass fraction of fresh mass material) was the most promising. Since the plant characteristics evaluated herein are routinely measured in cereal and other plant species of agricultural interest, it can be inferred that the findings can be transferred in other major crops.en_US
dc.identifier.doi10.3390/genes11010061
dc.identifier.issn2073-4425
dc.identifier.issue1en_US
dc.identifier.pmid31948110en_US
dc.identifier.scopus2-s2.0-85077720847en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.3390/genes11010061
dc.identifier.urihttps://hdl.handle.net/20.500.12491/10675
dc.identifier.volume11en_US
dc.identifier.wosWOS:000514898000091en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorBaloch, Faheem Shehzad
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofGenesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSorghum Bicoloren_US
dc.subjectSorghum Halepenseen_US
dc.subjectGenomic Selectionen_US
dc.subjectGenomic Predictionen_US
dc.subjectOptimum Indexen_US
dc.subjectIndex Selectionen_US
dc.subjectBiomassen_US
dc.subjectYielden_US
dc.subjectPlant Heighten_US
dc.subjectGBS SNPen_US
dc.titleGenomic selection for optimum index with dry biomass yield, dry mass fraction of fresh material, and plant height in biomass sorghumen_US
dc.typeArticleen_US

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