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Statistical models for optimizing productivity of some maize genotypes / Nabil Eshack Gergis Mekhaile ; Supervised Deyea Ahmed Elkadi , Mohamed Ali Ellakany , Ahmed Ali Abdelhalim

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Nabil Eshack Gergis Mekhaile , 2011Description: 95 P. : charts ; 25cmOther title:
  • نماذج احصائية للانتاجية المثلى لبعض التراكيب الوراثية فى الذرة الشامية [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (Ph.D.) - Cairo University - Faculty of Agriculture - Department of Agronomy Summary: 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
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Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.07.01.Ph.D.2011.Na.S (Browse shelf(Opens below)) Not for loan 01010110057299000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.07.01.Ph.D.2011.Na.S (Browse shelf(Opens below)) 57299.CD Not for loan 01020110057299000

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

Issued also as CD

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