Statistical models for optimizing productivity of some maize genotypes /
Nabil Eshack Gergis Mekhaile
Statistical models for optimizing productivity of some maize genotypes / نماذج احصائية للانتاجية المثلى لبعض التراكيب الوراثية فى الذرة الشامية Nabil Eshack Gergis Mekhaile ; Supervised Deyea Ahmed Elkadi , Mohamed Ali Ellakany , Ahmed Ali Abdelhalim - Cairo : Nabil Eshack Gergis Mekhaile , 2011 - 95 P. : charts ; 25cm
Thesis (Ph.D.) - Cairo University - Faculty of Agriculture - Department of Agronomy
A field experiment was conducted at sids reseaerch station Agriculture research center during 2005 and 2006 summer seasons to study the effect of macro environmental factors (climatic and soil) and two planting dates on productivity of six maize (Zea mays L.) genotypes. Multiple linear regression analysis stepwise regression analysis path coefficient analysis factor analysis and traits mean performance combined across seasons were used
Factor analysis Statistical models Stepwise regression analysis
Statistical models for optimizing productivity of some maize genotypes / نماذج احصائية للانتاجية المثلى لبعض التراكيب الوراثية فى الذرة الشامية Nabil Eshack Gergis Mekhaile ; Supervised Deyea Ahmed Elkadi , Mohamed Ali Ellakany , Ahmed Ali Abdelhalim - Cairo : Nabil Eshack Gergis Mekhaile , 2011 - 95 P. : charts ; 25cm
Thesis (Ph.D.) - Cairo University - Faculty of Agriculture - Department of Agronomy
A field experiment was conducted at sids reseaerch station Agriculture research center during 2005 and 2006 summer seasons to study the effect of macro environmental factors (climatic and soil) and two planting dates on productivity of six maize (Zea mays L.) genotypes. Multiple linear regression analysis stepwise regression analysis path coefficient analysis factor analysis and traits mean performance combined across seasons were used
Factor analysis Statistical models Stepwise regression analysis