Effect Of Nıtrogen Fertılızatıon Levels On Graın Yıeld And Yıeld Components In Trıtıcale Based On Ammı And Gge Bıplot Analysıs


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Oral E.

APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, vol.16, pp.4865-4878, 2018 (Journal Indexed in SCI Expanded)

  • Publication Type: Article / Article
  • Volume: 16
  • Publication Date: 2018
  • Title of Journal : APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH
  • Page Numbers: pp.4865-4878

Abstract

This  study  examined  the  effects  of  nitrogen  doses  rate  on  grain  yield  (GY)  and  yield 
components of spring triticale (×Tritico secale)  cultivars in dry area, based  on cultivars plus cultivar × nitrogen  doses  interaction  GGE  biplot  and  AMMI  analysis. The research  was  designed  to  evaluate the effects of different nitrogen fertilization levels (0, 40, 80, 120 and 160 kg ha-1 of N) on the grain yield and 
agronomic  performance  of  two  cultivars  in  two  growing  seasons  (2015-16/2016-17).  Split  plot  layout with in randomized complete block design with 3 replications was used in both years. The response to fertilization  levels  were  evaluated  through  GGE  (Genotype  main  effects  and  Genotype  x  Environment 
interaction)  biplot  graphic  methodologies  and  regression.  Combined  analysis  of  variance  of  nitrogen applications  of  two  cultivars  showed  highly  significant  (p  <  0.01)  difference  between  the  cultivars, nitrogen  applications  and  interaction.  The  grain  yield  of  triticale  was  most  of  all  affected  by  cultivars 
(70.8%) and then by nitrogen doses (23.5%) and interaction (5.7%). On the other hand, the study showed that plant height, number of spikes per m², number of grain of ears and grain yield increased depending on the increasing nitrogen doses of the cultivars. The highest performance of grain yield of both cultivars 
were associated with nitrogen N3  (120 kg/ha) fertilization in regression and AMMI analysis. The results showed that 80 kg/ha N application can be recommended in triticale traits and grain yield with Esin (new) cultivar. Further more, we  found that the GGE biplot method generated highly useful results with high 
visual quality in the study