ORTHOGONAL REGRESSIONS OF PEA (Pisum L.) VARIETIES

Abstract

The study was conducted in 2014-2016 on the experimental field of the Institute of Forage Crops, Pleven, Bulgaria. The plant material from the aboveground and root mass of seven forage peas (Pisum L.) genotypes and varieties, i.e. X07P54, X06PWY, NDPO80138-B-2, CA1P, L020140, Wt6803 and Mir was analyzed. The ecological and genetic model for the organization of the quantitative trait and the method of the orthogonal regressions as a method of study and evaluation were applied. The highest and stable yield of fresh root mass was obtained at Wt6803 (12.9 kg ha-1), NDPO80138-B-2 (10.9 kg ha-1) and L020140 (7.24 kg ha-1). X07P54, X06PWY and CA1P were low productive (6.4 to 9.1 kg ha-1) and highly resistant to this signs. Stable green mass yields were Wt6803 (388 kg ha-1) and Mir (376 kg ha-1) ranked respectively with 1 and 2 rank. Plants from Wt6803 and Mir were shown good results on the modules productivity of fresh aboveground and root mass, and from NDPO80138-B-2 by nodule weight and fresh root mass weight per plant. The varieties Wt6803, Mir and L020140 are of interest to the selection due to the successful balance of physiological systems - attraction and adaptability to the weight of the fresh aboveground and root mass. They can be included in hybridization programs to obtain high-yield genotypes for these signs.

Keywords

• Adaptability,Attraction,Module,Pisum sativum L.,Phenotype,Sign

References

1. Chekalin, E.I., I.V. Kondykov and A.V. Amelin. 2011. Stability of pea to extreme weather factors. New varieties of agricultural crops - the main part of innovative technologies in crop production. Vestnik OrelGAU. 297-304.
2. Dragavtcev, V.A. 1995. Ecological and genetic model of organization of quantitative characteristics of plants. Agr. Biol. 5:20-29.
3. Dragavtsev, V.A. 2002. Algorithms of ecological-genetical survey of the genofond and methods of creating the varieties of crop plants for yield, resistance, and quality. St. Petersburg: VIR, 41p.
4. Dragavtsev, V.A. 2010. Modeling of ecological-genetic organization of crop productivity. Materials of the All-Russian Conference (with international participation). "Mathematical models and information technologies in agricultural biology: results and prospects", October 14-15, 2010, St. Petersburg. 28-32.
5. Kocherina, N.V. 2007. Theory of errors of genotypes identification of individual plants on their phenotypes on quantitative determinants in segregated populations at the early stages of selection. Agr. Biol. 1:96-102.
6. Lakić, Ž., S. Stanković, S. Pavlović, S. Krnjajic and V. Popović. 2018. Genetic variability in quantitative traits of field pea (Pisum sativum L.) genotypes. Czech J. Genet. Plant Breed. 54:1-7.
7. McGee, R. 2013. Mendel’s legacy: An international pea sequencing project. Pisum Genetics. 44:13-14.
8. McPhee, K.E. and F.J. Muehlbauer. 2007. Registration of ‘Specter’ winter feed pea. J Plant Regist 1:118-119.

9. Morozova, L.V. 2014. Variability of variation parameters for Astrakhan and Aran tomato varieties depending on the ecological and agrotechnical background of cultivation. The author's abstract of PhD thesis. Astrakhan.
10. Naumkin, V. 2007. Increase of the efficiency of symbiotic pea systems for ecologically friendly agriculture. The author's abstract of PhD thesis.
11. Novikova, N.E., S.N. Agarkova, R.V. Belyaeva, E.V. Golovina, Z.R. Tsukanova, N.N. Sulimova and N.I. Mitkina. 2012. The influence of introgression of mutated genes on the formation of productivity of pea varieties. Vestnik OrelGAU. 36:8-15.
12. Ovchinnikova, E. 2012. Genetic analysis of symbiosome formation. Thesis submitted in fulfillment of the requirements for the degree of doctor at Wageningen University.
13. Preigel, I.A. 1989. Marker analysis of quantitative traits. Advances in modern genetics. 16:123-138.
14. Shamsutdinov, Z.S.H., V.N. Pyankov, A.A. Chamidov and A.Z. Shamsutdinova. 2014. Ecohysiological approach to the identification of intraspecific ecotypical organization of arid fodder plants. Proceedings of Scientific Papers. 51:100-110.
15. Shtark, O.Y.U., T.N. Danilova, T.S. Naumkina, A.G. Vasilchikov, V.K. Chebotar, A.E. Kazakov, A.I. Zhernakov, T.A. Nemankin, N.A. Prilepskaya, A.Y. Borisov and I.A. Tikhonovich. 2006. Analysis of the initial pea seed material (Pisum sativum L.) for selection with high symbiotic potential and selection of parameters for its evaluation. Ecol. Genetics. 2:22-28.
16. Smýkal, P. 2014. Pea (Pisum sativum L.) in biology prior and after Mendel’s discovery. Czech J. Genet. Plant Breed 50 2:52-64.
17. Tyurin Yu, S. 2014. Some methodical approaches breeding vetch. Multifunctional adaptive fodder production: Functions of fodder plants and ecosystems. Collection of scientific papers issue. 51:15-19.
18. Tyurin Yu, S. and V.N. Zolotaryov. 2013. Biological, breeding and technological foundations for potential productivity realization of hairy winter vetch (Vicia villosa Roth.), variety Lugovskaya 2. Adaptive fodder production online journal. 13:31-43.
19. Vishnyakova, M.A. 2008. Grain legumes gene pool and adaptive breeding as factors of biologization and ecologization of plant industry (review). Agr. Biol. 3:3-23.
20. Yessimbekova, M.А. and K.B. Mukin. 2014. Physiological indicators in screening of winter wheat gene fund for breeding on yielding and adaptability. Int. J. Biol. Chem. 7(2):53-56.