Classification of rapeseed genotypes based on quantitative traits using multivariate techniques

Abstract

The genetic variability of 13 rapeseed genotypes created in Serbia was assessed at the Institute of Field and Vegetable Crops, Novi Sad, in three consecutive years. The genotypes were evaluated and classified based on 10 quantitative traits (plant height, height to the first branch, stem width, number of lateral branches, number of leaves, number of pods, seed yield per plant, 1000 seed weight, oil content and protein content), using principal component analysis (PCA) and two-way cluster analysis. The first four PCs with eigenvalues >1 contributed to 83% of the total explained variance. The PC analysis revealed that plant height, height to the first branch, number of lateral branches and number of leaves contributed maximum to the total divergence of the material. The genotypes were classified in two main clusters: the first cluster comprised three genotypes, while the other genotypes belonged to the second cluster which can further be divided to two subclusters. One genotype was not classified in these two clusters. The selected genotypes that have desirable traits may be used in hybridization programs for improvement of seed yield and traits that contribute to seed yield most.

Genetička varijabilnost 13 genotipova uljane repice stvorenih u Srbiji, analizirana je u Institutu za ratarstvo i povrtarstvo u Novom Sadu, tokom tri uzastopne godine. Genotipovi su procenjeni i klasifikovani na osnovu 10 kvantitativnih osobina (visina bilјke, visina do prve grane, širina stablјike, broj bočnih grana, broj listova, broj ljuski, prinos semena po bilјci, masa 1000 semena, sadržaj ulјa i sadržaj proteina), koristeći analizu glavnih komponenti i dvosmernu klaster analizu. Prve četiri PC ose doprinele su 83% od ukupne objašnjene varijanse. PC analiza je pokazala da su visina bilјke, visina do prve grane, broj bočnih grana i broj listova maksimalno doprineli ukupnoj varijabilnosti materijala. Genotipovi su klasifikovani u dva glavna klastera: prvi klaster se sastojao od tri genotipa, dok su ostali genotipovi pripadali drugom klasteru koji se dalјe može podeliti na dva podklastera. Jedan genotip klasifikovan je izvan oba klastera. Odabrani genotipovi koji imaju poželјne osobine mogu se koristiti u programima hibridizacije za pobolјšanje prinosa semena i osobina koje najviše doprinose prinosu semena.