Assessment of some parameters productivity and quality of populations Phleum pratense L. grown in conditions of Serbia

The study was conducted on 20 autochthonous population of Phleum pratense (L.), originating from Plant height, protein content and crude cellulose content had a high direct impact on yield. Populations of PP16, PP20, PP2 and PP9 had the significantly higher yield of the raw matter compared to all the tested population and the highest values for the other evaluated parameters, also. The average yield of crude biomass was positive statistically highly significantly correlated with plant height (r=0.87**), and positively significantly correlated with a content of crude proteins and positive non significant correlated with crude cellulose (r=0.42 ns ). Based on obtained values and by the appropriate choice of selection methods, we conclude that we have excellent genotypes, PP16, PP20, PP2 and PP9 for a successful selection process in order to obtain new high yielding varieties of Phleum pratense .

[1]  P. Homolka,et al.  Determination of indigestible neutral detergent fibre contents of grasses and its prediction from chemical composition , 2018 .

[2]  N. Lemežienė,et al.  Analysis of dry matter yield structure of forage grasses , 2018 .

[3]  V. Djekić,et al.  Soybean oil yield as affected by the growing locality in agro-climatic divergent years. , 2016 .

[4]  B. Pejić,et al.  Response of cowpea genotypes to water stress in temperate climatic conditions , 2016 .

[5]  R. Stanisavljević,et al.  Yield and morphological traits in alfalfa varieties of different origin , 2015 .

[6]  N. Trkulja,et al.  Enhancement of seed germination in three grass species using chemical and temperature treatments , 2015 .

[7]  J. Miladinović,et al.  Determining genetic potential and quality components of NS soybean cultivars under different agroecological conditions. , 2015 .

[8]  K. Mohammadi,et al.  Interrelationships and genetic analysis of seed yield and morphological traits in mini core collection of Iranian landrace, breeding lines and improved chickpea (Cicer arietinum L.) cultivars , 2015 .

[9]  V. Vasileva,et al.  Study on productivity of some legume crops in pure cultivation and mixtures. , 2012 .

[10]  G. Cvijanović,et al.  Variability and correlations between yield components of soybean [Glycine max (L.) Merr.] , 2012 .

[11]  C. Hash Wild Crop Relatives: Genomic and Breeding Resources. Millets and Grasses . Edited by C. Kole. Heidelberg: Springer (2011), pp. 342. €149.95. ISBN: 978-3-642-14254-3. , 2011, Experimental Agriculture.

[12]  D. Sokolović,et al.  Breeding of perennial grasses: Methods, criteria and results in Serbia , 2007 .

[13]  S. Prodanović,et al.  Morphological and Nutritional Properties of Birdsfoot Trefoil (Lotus corniculatus L.) Autochthonous Populations in Serbia and Bosnia and Herzegovina , 2007, Genetic Resources and Crop Evolution.

[14]  D. Gataric,et al.  Effect of low-rate N application and cutting frequency on botanical composition of short-term natural grassland , 2005 .