Correlations between photosynthetic indicators and vegetative mass yield in red clover (Trifoliumpratense L.)

Abstract

Experiments were conducted at the Rimski Šančevi Experiment Field in the period 1998-1999 The experiment object were six varieties and two populations of red clover. In both years, we determined photosynthetic indi­cators (LAI - leaf area index, LAd - leaf area density, NAR - net photosynthetic productivity) per individual cuttings and the total yield of vegetative mass. The obtained data were statistically processed by the path coefficient analysis. High simple correlations between the photosynthetic indicators (LAI and LAd) and the yield of green forage were found in all cuttings in both years. Highly significant (**) direct effects of NAR and LAI on the yield of vegetative mass were found in almost all cuttings. LAI and LAd exhibited the highest total effects on the yield of vegetative mass. The coefficients of multiple determination between the analyzed photosynthetic indicators and the yield of vegetative mass were high (96.88 - 99.49%) in all cuttings.

Selekcija crvene deteline (Trifolium pratense L.), druge po značaju višegodišnje leguminoze je pre svega usmerena na stvaranje genotipova veće produktivnosti vegetativne mase. S obzirom da je produkcija organske materije ostvarena procesom fotosinteze naročita pažnja se poklanja pokazatelj ima koji karakterišu fotosintetičku aktivnost. Cilj naših istraživanja je analiza korelacija osnovnih fotosintetičkih pokazatelja s prinosom zelene mase Istraživanja su obavljena u toku 1998 - 1999 godine na Oglednom polju Instituta za ratarstvo i povrtarstvo - Rimski Šančevi. Kao objekat ispitivanja poslužilo je šest sorti i dve populacije crvene deteline. Obe godine, po otkosima utvrđivani su fotosintetički pokazatelji (LAI -indeks lisne površine. LAd - gustina lisne površine. NAR - neto produktivnost fotosinteze), kao i konačan prinos vegetativne mase. Pri statističkoj obradi eksperimentalnih podataka korištene su korelaciona i regresiona analiza (path coefficient analysis).