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dc.contributor.author
Mirabella, Nadia Estefania

dc.contributor.author
Abbate, Pablo Eduardo

dc.contributor.author
Alonso, María Pía

dc.contributor.author
Panelo, Juan Sebastián

dc.contributor.author
Pontaroli, Ana

dc.date.available
2022-11-23T13:29:47Z
dc.date.issued
2019-02
dc.identifier.citation
Mirabella, Nadia Estefania; Abbate, Pablo Eduardo; Alonso, María Pía; Panelo, Juan Sebastián; Pontaroli, Ana; Identifying traits at crop maturity and models for estimation of lodging susceptibility in bread wheat; Csiro Publishing; Crop and Pasture Science; 70; 2; 2-2019; 95-106
dc.identifier.issn
1836-0947
dc.identifier.uri
http://hdl.handle.net/11336/178673
dc.description.abstract
Lodging is the permanent displacement of plant shoots from an upright position and represents a major obstacle to reaching yield potential in bread wheat (Triticum aestivum L.). Breeding programs would benefit from the identification of lodging-related traits amenable to easy and rapid screening, even in the absence of lodging. However, no locally tested lodging model is available for the Pampas region of Argentina, and most lodging models are based on measurements before crop maturity. We adapted two existing models and generated a new one, using easily measurable traits at crop maturity in 24 cultivars (14 for model fit and 10 for model validation) grown in plot trials with no nutritional, water or disease restrictions in three crop seasons at Balcarce, Argentina. Of 17 traits evaluated, 16 showed differences between cultivars (P < 0.05), and in 11 of these traits, no genotype × environment interaction was detected (P > 0.05). Estimations of the safety factor against stem lodging, proposed by Crook et al., and the wind velocity that produces lodging, proposed by Berry et al., showed a high correlation with lodging score (R 2 = 0.60 and 0.72, respectively), but when the estimators were tested with another set of cultivars there was no association. A new empirical regression model was based on three traits measured at maturity: plant height, spike dry weight, and the inertia moment of the stem base (stem resistance to bending estimated from stem diameter and wall thickness). The model was then simplified by replacing the third trait with basal stem diameter, and it showed an even better fit (R 2 = 0.90). These models were satisfactorily validated by rank correlations with a different cultivar set. The regression model proposed in this study can easily be applied to the evaluation of commercial cultivars and may be used to screen breeding materials. Measurements at maturity are convenient and easy to combine with other traits of possible selective advantage.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Csiro Publishing

dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
CULTIVAR CHARACTERIZATION
dc.subject
IMPROVEMENT OF LODGING RESISTANCE
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LODGING PREDICTION
dc.subject
SPIKE WEIGHT
dc.subject.classification
Silvicultura

dc.subject.classification
Agricultura, Silvicultura y Pesca

dc.subject.classification
CIENCIAS AGRÍCOLAS

dc.title
Identifying traits at crop maturity and models for estimation of lodging susceptibility in bread wheat
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-11-17T17:36:51Z
dc.journal.volume
70
dc.journal.number
2
dc.journal.pagination
95-106
dc.journal.pais
Australia

dc.journal.ciudad
Clayton
dc.description.fil
Fil: Mirabella, Nadia Estefania. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina
dc.description.fil
Fil: Abbate, Pablo Eduardo. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
dc.description.fil
Fil: Alonso, María Pía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
dc.description.fil
Fil: Panelo, Juan Sebastián. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina
dc.description.fil
Fil: Pontaroli, Ana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce. Área de Investigación en Agronomía; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
dc.journal.title
Crop and Pasture Science
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.publish.csiro.au/cp/CP17347
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1071/CP17347
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