Seed quality of selected perennial ryegrass (Lolium perenne L.) genotypes in Banja Luka region

Autor: Veljović, Tatjana, Lakić, Željko, Janković, Snežana, Glamočlija, Djordje, Rakić, Sveto, Ikanović, Jela, Dončić, Dalibor
Rok vydání: 2013
Předmět:
Zdroj: Zbornik naučnih radova Instituta PKB Agroekonomik
Popis: Seed quality of perennial ryegrass is very important for successful grassland establishment; rational use of production potential of varieties and arable land; and therefore for improving quality bulk feed production on fields and grasslands. The objective of this study is biennial research (2010 and 2011) of qualitative traits of eight genetically divergent genotypes of perennial ryegrass (Lolium perenne L.) seed. The following traits were investigated: seed germination (%), 1000-seed mass (g), number of seeds per gram (seeds/g) and volume mass (kg). The results have shown that average seed germination was 87%, and 1000-seed mass was about 2.1 g, depending on whether there were diploid or tetraploid genotypes. In 1 gram there were 508 seeds on average, while volume seed mass was 25.3 kg on average, which is in accordance with the statutory values. Kvalitet semena engleskog ljulja je od posebnog značaja za uspešno zasnivanje travnjaka, racionalno iskorišćavanje proizvodnog potencijala sorti i zemljišnih površina, a time i unapređenja proizvodnje kvalitetne kabaste stočne hrane na oranicama i travnjacima. Cilj ove studije su dvogodišnja istraživanja (2010. i 2011.) kvalitativnih osobina semena engleskog ljulja (Lolium perenne L.), osam genetički divergentnih genotipova. Ispitivane su sledeće osobine: klijavost semena (%), masa 1.000 semena (g), broj semena u jednom gramu (semena/g) i zapreminska masa (kg). Rezultati su pokazali da je prosečna klijavost iznosila 87%, masa 1.000 semena oko 2,1 g zavisno da li su u pitanju diploidni ili tetraploidni genetipovi, u masi od 1 grama utvrđeno je prosečno 508 semena, dok je zapreminska masa semena iznosila prosečno oko 25,3 kg, što zadovoljava zakonom propisane vrednosti.
Databáze: OpenAIRE