Modeling the effect of different medium on rooting of northern highbush blueberry (Vaccinium corymbosum L.) softwood cuttings Kuzey orijinli yüksek boylu maviyemiş (Vaccinium corymbosum L.) yumuşak odun çeliklerinde köklenme üzerine ortamların etkisinin modellenmesi


Creative Commons License

Çelik H., ODABAŞ M. S.

Yuzuncu Yil University Journal of Agricultural Sciences, cilt.30, sa.2, ss.280-288, 2020 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 30 Sayı: 2
  • Basım Tarihi: 2020
  • Doi Numarası: 10.29133/yyutbd.694334
  • Dergi Adı: Yuzuncu Yil University Journal of Agricultural Sciences
  • Derginin Tarandığı İndeksler: Scopus, CAB Abstracts, Veterinary Science Database, Directory of Open Access Journals, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.280-288
  • Anahtar Kelimeler: Blueberry, Cutting, Mathematical modeling, Medium, Rooting
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

This study was to develop a mathematical modeling to prediction for the effects of different mediums on degree and percentage of rooting of highbush blueberry (Vaccinium corymbosum L.) softwood cuttings. The well fitted estimating equations for the rooting percentage and rooting degree tested were formulized as RP = (95.49533) + (-17.7671 x M)+(1.655312 x M²) + (-24.0961 x CV) and RD = 7.013245 + (-1.29063xM) + (0.119114xM²) + (-1.51642xCV) where RD is rooting degree, RP is rooting percentage, M is mediums, CV is northern highbush blueberry cultivars (Jersey [1] and Berkeley [2]) and M is mediums of the produced equation. Mediums are peat moss (PM) [1], perlite (P) [2], podzolic-brownish soil (BS) [3], podzolic-reddish soil (PR) [4], PM+P [5], PM+BP+PR [6], P+BP+PR [7] and PM+P+BP+PR [8]. All the medium mixed in equal v/v. Here the numerical count put in the angular brackets show the numerical values used for rooting medium and cultivars. Regression analysis over multiply was carried out for the least sum of square (R²) obtained. R2 value 0.92 for percentage of rooting and 0.93 for degree of rooting. Standard errors significances found at the p\0.001 level.