dc.creatorIncognito, Salvador Juan Pablo
dc.creatorMaddonni, Gustavo Angel
dc.creatorLopez, Cesar Gabriel
dc.date.accessioned2021-09-08T17:47:31Z
dc.date.accessioned2022-10-14T23:56:05Z
dc.date.available2021-09-08T17:47:31Z
dc.date.available2022-10-14T23:56:05Z
dc.date.created2021-09-08T17:47:31Z
dc.date.issued2020-01
dc.identifierIncognito, Salvador Juan Pablo; Maddonni, Gustavo Angel; Lopez, Cesar Gabriel; Genetic control of maize plant architecture traits under contrasting plant densities; Springer; Euphytica; 216; 2; 1-2020; 1-16
dc.identifier0014-2336
dc.identifierhttp://hdl.handle.net/11336/139923
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4321952
dc.description.abstractPlant architecture has played an important role in the adaptation of maize (Zea mays L.) hybrids to historical increases in plant density in order to maximize yields per unit area. At high density, a compact plant structure would allow for less interference by light among plants of the row and a deeper penetration of the radiation towards the lowest canopy layers, without compromising the capture of radiation at crop level. The genetic control of plant architecture traits of maize under contrasting plant densities remains poorly understood. In this work, traits related to leaf and stem architecture were phenotypically analyzed and QTLs were mapped using 160 RILs from the IBM B73 × Mo17 Syn4 population cultivated at low density and high density during 2013–2014 and 2014–2015 growing seasons in Buenos Aires province, Argentina. Forty-nine QTLs were detected on chromosomes 1, 3, 4, 5, 9 and 10. Most QTLs of vertical insertion angle of leaves and leaf orientation value (i.e., vertical angle affected by the curvature of leaves) were detected on chromosome 5 at high density and showed a high percentage of co-location. Detected QTLs for plant and ear height, and the relationship between them were concentrated on chromosome 9, with consistent effect under different density × environment combinations. These regions had large-effect QTLs and constitute hot spots that need to be studied in more detail to determine their potential use in breeding programs.
dc.languageeng
dc.publisherSpringer
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://link.springer.com/10.1007/s10681-019-2552-9
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1007/s10681-019-2552-9
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectCANOPY STRUCTURE
dc.subjectINTRASPECIFIC COMPETITION
dc.subjectLEAF MORPHOLOGY
dc.subjectQTL MAPPING
dc.subjectRILS POPULATION
dc.subjectSTEM TRAITS
dc.titleGenetic control of maize plant architecture traits under contrasting plant densities
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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