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dc.contributorVisioni, Andreaen_US
dc.contributorGyawali, Sanjayaen_US
dc.contributorSingh, Murarien_US
dc.creatorVerma, Ramesh Pal Singhen_US
dc.date2018-07-31en_US
dc.date.accessioned2019-03-18T16:07:57Z
dc.date.available2019-03-18T16:07:57Z
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/90e892abb6f8248048c9a57af9b67fcaen_US
dc.identifier.citationRamesh Pal Singh Verma, Andrea Visioni, Sanjaya Gyawali, Murari Singh. (31/7/2018). Identifying Barley Genotypes for Optimum Input Conditions in the WANA Regions. Plant Breeding and Seed Science, 74(1), pp. 3-17.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/9695
dc.description.abstractBarley (Hordeum vulgare L.) is an important cereal crop for its high demand for grain feed and forage/ grazing for the animals as well as for human food in the WANA region under the low rainfall situations and thus creating an urgent need for developing high yielding barley genotypes. A total of 542 hulled and hulless genotypes with seven checks were evaluated at three locations with diverse agro-ecological conditions, Terbol in Lebanon and Marchouch and Allal Tazi in Morocco. The aim of this study was to understand the nature of genotype × environment interaction (GEI), quantify the genotypic variability and identify high yielding genotypes. The mixed models were fitted to evaluate heritability and predicted means to identify genotypes with specific adaptation to the locations using GGE -biplot. GEI across locations was significant for days to heading, days to maturity, plant height, spike length and grain yield. On a trial-wise analysis, days to maturity was most heritable (49 – 50% broad sense heritability on mean basis) while the grain yield was the least (5 – 13%). The genotype G427 (4812 kg/ha) at Marchouch, the check VMorales (4889 kg/ha) at Allal Tazi and G528 (6995 kg/ha) at Terbol were the highest yielding genotypes. Several hulled and hulless genotypes with higher grain yield and early flowering time in the three environments were identified for utilization by the national programs globally. The test locations, Marchouch and Allal Tazi, were found comprising one mega environment while Terbol showed maximum discrimination of genotypes for grain yield.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherDe Gruyter Openen_US
dc.rightsCC-BY-NC-ND-4.0en_US
dc.sourcePlant Breeding and Seed Science;74,(2018) Pagination 3,17en_US
dc.subjectgrain yielden_US
dc.subjectgge-biploten_US
dc.subjectoptimum input conditionsen_US
dc.subjectBarleyen_US
dc.titleIdentifying Barley Genotypes for Optimum Input Conditions in the WANA Regionsen_US
dc.typeJournal Articleen_US
cg.creator.idVerma, Ramesh Pal Singh: 0000-0002-2621-2015en_US
cg.creator.idVisioni, Andrea: 0000-0002-0586-4532en_US
cg.creator.idSingh, Murari: 0000-0001-5450-0949en_US
cg.creator.ID-typeORCIDen_US
cg.creator.ID-typeORCIDen_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovocbarleyen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.crpCRP on Dryland Cereals - DCen_US
cg.contributor.funderArab Fund for Economic and Social Development - AFESDen_US
cg.contributor.projectSustainability and Operation of the Regional Research Centers in a Number of Arab Countries (Phase II)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionGlobalen_US
cg.contactR.Verma@cgiar.orgen_US
cg.identifier.doihttps://dx.doi.org/10.1515/plass-2016-0010en_US
dc.identifier.statusOpen accessen_US
mel.project.openhttps://mel.cgiar.org/projects/216en_US


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