Analiza stabilnosti pridelka krme 16 genotipov navadnega grahorja (Lathyrus sativus L.) v ugodnih in slabih okoljskih razmerah

Behrouz VAEZI, Hamid HATAMI MALEKI, Saeed YOUSEFZADEH, Reza PIROOZ, Askar JOZEYAN, Raham MOHTASHAMI, Naser SABAGHNIA

Povzetek


 Vzgoja genotipov navadnega grahorja z veliko prilagodljivostjo v različnih okoljih je zelo pomembna za pridelavo krme. Pridelek suhe krme 16 genotipov navadnega grahorja je bil preiskušen v popolnem naključnem bločnem poskusi s tremi ponovitvami na štirih lokacijah v treh rastnih sezonah v Iranu. Grafična analiza odnosov med genotipi in različnimi okolji je na osnovi SREG (Site Regression model) modela omogočila ovrednotenje najboljših genotipov. Prvi dve glavni komponenti sta razložili 77 % interakcij med genotipi in okoljem (GE) in odkrili šest zmagovalnih gentipov v štirih mega okoljih. Za preverjanje najboljših genotipov glede pridelka in njegove stabilnosti je bila uporabljena poprečna koordinata lokacije (ALC), ki je označila genotype kot so IFLA-1913, IFLA-1961, IFLA-1812, in IFLA-2025 kot najboljše. Na osnovi koncepta idealnega genotipa je bil genotip G5 boljši kot vsi ostali, saj je imel velik in stabilen pridelek krme na vseh preučevanih lokacijah. Glede na vire razlik v interakcijah med genotipi in genotipi in okoljem (G + GE) so bili genotipi IFLA-1913, IFLA-1961, IFLA-1812, in IFLA-2025 najprimernejše sorte navadnega grahorja za pridelavo krme v razmerah polsušnih in z dežjem namakanih območih. Idealna lokacija bi morala biti prepoznana po genotipu in reprezentativni poprečni lokaciji, a takšne v tej raziskavi niso našli. Rezultati so potrdili, da bi lahko bil genotip G5 (IFLA-1961) z veliko stabilnostjo in velikostjo pridelka (4,92 t ha-1) lahko uveden kot priporočena komercialna sorta.


Ključne besede


povprečna koordinata lokacije; biplot; GGE (genotip + interakcije genotip-okolje)

Celotno besedilo:

PDF (English)

Literatura


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DOI: http://dx.doi.org/10.14720/aas.2023.119.1.2227

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Avtorske pravice (c) 2023 Behrouz VAEZI, Hamid HATAMI MALEKI, Saeed YOUSEFZADEH, Reza PIROOZ, Askar JOZEYAN, Raham MOHTASHAMI, Naser SABAGHNIA

 

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