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




Phenotypic correlation and path analysis for yield in soybean (glycine max (l.) merril) - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.



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., En este trabajo se determinaron correlaciones entre el rendimiento de grano y algunas características agronómicas en soya Glycine max L. Merril y los efectos directos e indirectos de los componentes de rendimiento sobre la producción. A través del análisis de sendero se identificaron criterios de selección indirecta para alto rendimiento. Para el efecto se empleó un diseño de franjas divididas con cuatro repeticiones y 30 tratamientos en Oxisoles de la Orinoquía colombiana, en siete ambientes, durante 2007 y 2008. Los tratamientos consistieron en la combinación de seis variedades de soya y cinco fuentes de nitrógeno. Los datos unidos por ambientes mostraron una correlación fenotípica positiva entre rendimiento de grano con el número de vainas por planta - VT r = 0.81**, el número de nudos por planta-NN r = 0.67**, y el número de semilla por vaina-GV r = 0.44*, mientras que fue negativa con peso de grano -PS r = -0.44*. El análisis de sendero mostró que VT presentó el mayor efecto positivo directo 0.628 sobre el rendimiento, seguido por NN 0.260. También, el número de vainas con tres granos V3 tuvo alta asociación fenotípica con rendimiento r = 0.84**. Es importante prestar atención a estos componentes de rendimiento VT, NN y V3 como criterios de selección indirecta para el mejoramiento genético del rendimiento de grano en soya.

Tipo de documento: Artículo - Article

Palabras clave: 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.





Fuente: http://www.bdigital.unal.edu.co


Introducción



Phenotypic correlation and path analysis for yield in soybean (Glycine max (L.) Merril) Correlación fenotípica y análisis de sendero para el rendimiento de soya (Glycine max (L.) Merril) Rubén Alfredo Valencia-Ramírez1* and Gustavo Adolfo Ligarreto-Moreno2† 1 Agronomist Engineer, PhD, Colombian Corporation of Agricultural Research, Corpoica, Director Research Center La Libertad, Villavicencio-Meta.
2Agronomist Engineer, PhD, Faculty of Agronomy, Universidad Nacional de Colombia, Bogotá, Colombia.
*Corresponding author: ravalencia@corpoica.org.co; †galigarretom@unal.edu.co Rec.: 14.12.11 Acept.: 07.12.12 Abstract 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. Key words: Bradyrhizobium japonicum, characters of yield, Colombia, genetic inheritance, Oxisols, phen...






Documentos relacionados