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dc.contributorSharma, Ramen_US
dc.contributorVerma, Ramesh Pal Singhen_US
dc.contributorSarkar, Anantaen_US
dc.contributorSharma, Induen_US
dc.creatorSarkar, Basudeben_US
dc.date.accessioned2021-07-22T00:51:05Z
dc.date.available2021-07-22T00:51:05Z
dc.identifierhttp://www.isgpb.org/article/identifying-superior-feed-barley-genotypes-using-gge-biplot-for-diverse-environments-in-indiaen_US
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/3eb2c5788cfa2b5dde939ed0919f76e5en_US
dc.identifier.citationBasudeb Sarkar, Ram Sharma, Ramesh Pal Singh Verma, Ananta Sarkar, Indu Sharma. (28/2/2014). Identifying superior feed barley genotypes using GGE biplot for diverse environments in India. INDIAN JOURNAL OF GENETICS AND PLANT BREEDING, 74 (1).en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/13503
dc.description.abstractBarley (Hordeum vulgare L.) is an important feed purpose cereal grown under diverse production conditions and harsh environments. The present investigation was carried out to study performance of advanced breeding lines and identify superior genotypes of feed barley Using multi-environment trial data from All India Coordinated Wheat and Barley Improvement Programme (AICW&BIP). Ninety three experimental genotypes and five released cultivars were tested across eleven locations during four years. Grain yield and other agronomic traits were analyzed. Stability and genotype superiority for grain yield and other traits were determined using genotype and genotype x environment (GGE) biplot analysis.The result showed that environment and genotype contributed 32.9 to 67.4% and 4.7 to 20.4% of the total variation, respectively.The genotype x environment interaction contributed 27 to 44% of total variation. The experimental genotypes showed arrays of variation for grain yield in each year, with mean values ranging from 2.12 to 5.36 t/ha. Twelve experimental genotypes were identified, which were either superior or equal performance to the best check based on their high yield and stability across environments. The locations Varanasi, Kanpur, Vijapur and Durgapura discriminated the genotypes more than other sites for grain yield and agronomic traits. The findings provided valuable information on wide adaptation of feed barley genotypes, which could be useful for barley improvement programmes.en_US
dc.languageenen_US
dc.publisherINDIAN SOC GENET PLANT BREEDINGen_US
dc.rightsCopyrighted; Non-commercial educational use onlyen_US
dc.sourceINDIAN JOURNAL OF GENETICS AND PLANT BREEDING;74,(2014)en_US
dc.subjectgge biploten_US
dc.subjectgrain yielden_US
dc.subjectmega-environmenten_US
dc.subjectmulti-location trialsen_US
dc.titleIdentifying superior feed barley genotypes using GGE biplot for diverse environments in Indiaen_US
dc.typeJournal Articleen_US
dcterms.available2014-02-28en_US
cg.creator.idSharma, Ram: 0000-0002-7785-363Xen_US
cg.creator.idVerma, Ramesh Pal Singh: 0000-0002-2621-2015en_US
cg.subject.agrovocbarleyen_US
cg.subject.agrovocBarleyen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerIndian Council of Agricultural Research, Indian Institute of Wheat and Barley Research - ICAR-IIWBRen_US
cg.contributor.centerDirectorate of Wheat Research - DWRen_US
cg.contributor.centerIndian Agricultural Research Institute, Central Institute for Women in Agriculture - ICAR-CIWAen_US
cg.contributor.funderIndian Council of Agricultural Research - ICARen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionSouthern Asiaen_US
cg.coverage.countryINen_US
cg.contactbasudeb70@gmail.comen_US
cg.identifier.doihttps://dx.doi.org/10.5958/j.0975-6906.74.1.004en_US
cg.isijournalISI Journalen_US
dc.identifier.statusOpen accessen_US
mel.impact-factor0.508en_US
cg.issn0019-5200en_US
cg.journalINDIAN JOURNAL OF GENETICS AND PLANT BREEDINGen_US
cg.issue1en_US
cg.volume74en_US


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