Abstract
The research was carried out in the field at the Central Experimental Base of the Federal Williams Research Center of Forage Production and Agroecology. The object of research was 41 samples of alfalfa. The samples were sown according to the scheme of a standard collection nursery. All studies and observations were carried out on the herbage of the second and third years of life. Statistical processing of the research results showed a generally high level of variation in the characteristics. We identified the 4 best samples for a set of features. Several significant positive and negative correlations have been identified, which can be used as indirect signs in the evaluation and selection of promising forms. This method allowed us to identify 3 genetically different groups (clusters) of samples that differ in the nature of the formation of traits. The first cluster includes samples 49, 54, 66, ... and 193 belonging to various studied species. But mostly they represent the species Medicago sativa L. The samples differ little in the content of crude fiber and crude protein. The second cluster includes samples 454, 605, 583, ... and 598, which had average values for most indicators. The third group of samples includes 192, 646 and 355 (Medicago lupulina L. and Medicago glutinosa M.B.) with a maximum content of crude protein. The analysis of the distance and kinship between the samples revealed the presence of three clusters that can be used in breeding for combinational ability and consolidation of breeding-valuable traits.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.