Phenotypic correlation and path analysis for yield in soybean (glycine max (l.) merril)

This research determinate the correlations between seed yield and agronomic characteristics in soybean (Glycine max (L.) Merril) and the direct and indirect effects of certain yield components on seed yield. Through the path coefficients analysis it was identified an indirect selection criteria for...

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Autores:
Valencia-Ramírez, Rubén Alfredo
Ligarreto-Moreno, Gustavo Adolfo
Tipo de recurso:
Article of journal
Fecha de publicación:
2012
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/72452
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/72452
http://bdigital.unal.edu.co/36925/
Palabra clave:
6 Tecnología (ciencias aplicadas) / Technology
63 Agricultura y tecnologías relacionadas / Agriculture
Bradyrhizobium japonicum
caracteres de rendimiento
Colombia
fenotipos
herencia genética
Oxisoles.
characters of yield
Colombia
genetic inheritance
Oxisols
phenothypes.
Bradyrhizobium japonicum
characters of yield
Colombia
genetic inheritance
Oxisols
phenothypes.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
Description
Summary:This research determinate the correlations between seed yield and agronomic characteristics in soybean (Glycine max (L.) Merril) and the direct and indirect effects of certain yield components on seed yield. Through the path coefficients analysis it was identified an indirect selection criteria for hight seed yields. Thirty treatments were evaluated in a strip plot design with four replications in Oxisols soils of the Colombian Orinoquía, in seven environments during 2007 and 2008. The treatments consisted of a combination of six soybean varieties and five nitrogen sources. Combined data over the locations indicated that seed yield had significant positive correlation with number of pods per plant -VT (r = 0.81**), number of nudes per plant -NN (r = 0.67**), number of seed per pod –GV (r = 0.44*), and negative correlation with weight of seed –PS (r = -0.44*). Path coefficient analysis showed that VT gave the greatest direct positive effect (0.628) on seed yield, followed by NN (0.260). However, the number of pods with three seeds (V3) had high association with seed yield (r = 0.84**). The greater attention should be given to these yield components (VT, NN and V3) as indirect selection criteria for genetic improvement of soybean seed yield.