Growth dynamics of the branching system in grasses an architecture - based methodology for quantitative evaluation applied to two genotypes of Paspalum vaginatum

With the aim of identifying quantitative differential features between two genotypes, plants were cultivated outdoors in pots during two consecutive summers. Axes of different branching order were marked for periodical observation to quantify internode production rate, axis production rate, covering...

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Otros Autores: Fabbri, Liliana Teresa, Insausti, Pedro, Batista, William Bennett, Rua, Gabriel Hugo
Formato: Artículo
Lenguaje:Inglés
Materias:
Acceso en línea:http://ri.agro.uba.ar/files/download/articulo/2019fabbri.pdf
LINK AL EDITOR
Aporte de:Registro referencial: Solicitar el recurso aquí
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245 1 0 |a Growth dynamics of the branching system in grasses  |b an architecture - based methodology for quantitative evaluation applied to two genotypes of Paspalum vaginatum 
520 |a With the aim of identifying quantitative differential features between two genotypes, plants were cultivated outdoors in pots during two consecutive summers. Axes of different branching order were marked for periodical observation to quantify internode production rate, axis production rate, covering rate and reproductive effort. The genotypes differed significantly in the following quantitative features: plagiotropic vs. orthotropic axes proportion, internode production rate, flowering vs. vegetative tiller ratio, vegetative cover and spatial distribution of the canopy. Knowledge of these features may help to understand the great plasticity and adaptability of this species to multiple environmental conditions. 
653 |a MERISTEM ALLOCATION 
653 |a MORPHOLOGY 
653 |a PHENOTYPIC PLASTICITY 
653 |a PLANT ARCHITECTURE 
653 |a SEASHORE PASPALUM 
700 1 |9 33777  |a Fabbri, Liliana Teresa  |u Universidad de Buenos Aires. Facultad de Agronomía. Buenos Aires, Argentina. 
700 1 |a Insausti, Pedro  |u Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina.  |u CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina.  |9 6462 
700 1 |a Batista, William Bennett  |u Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina.  |u CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina.  |9 12935 
700 1 |a Rua, Gabriel Hugo  |u Universidad de Buenos Aires. Facultad de Agronomía. Buenos Aires, Argentina.  |u CONICET. Buenos Aires, Argentina.  |9 25944 
773 |t Rodriguésia  |g vol.70 (2019), e04572017, 10 p., grafs., tbls., fot. 
856 |f 2019fabbri  |i en internet  |q application/pdf  |u http://ri.agro.uba.ar/files/download/articulo/2019fabbri.pdf  |x ARTI202011 
856 |z LINK AL EDITOR  |u http://rodriguesia.jbrj.gov.br/ 
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