Preview

Grain Economy of Russia

Advanced search

Breeding estimation of initial alfalfa material according to green mass productivity and quality

https://doi.org/10.31367/2079-8725-2024-95-6-11-20

Abstract

Breeding of perennial grasses is the foundation for developing a forage base to produce high-quality livestock products. The purpose of the current study was to estimate the variability of phenotypic traits of alfalfa collection populations, as well as to identify the most promising ones in terms of possession of important agronomic traits for developing varieties that meet modern requirements of agricultural production. There have been estimated economically valuable traits of 80 alfalfa populations of various ecological and geographical origins from the collection of the FSBSI “ARC “Donskoy” for the period 2019–2023. The variety ‘Rostovskaya 90’ was used as a standard. There was determined a biochemical analysis of the green mass of alfalfa collection samples, including content of protein, fat, ash, fiber, and NFE, and there was carried out a statistical analysis of the experimental data. As a result of the research, there were identified the samples ‘Smuglyanka’ (Ukraine) – 7.9 kg/m2 , ‘Rambler’ (Canada) – 7.7 kg/m2 and ‘Stavropolskaya 430’ (Russia) – 7.6 kg/m2 with large productivity of green mass. The samples with high indicators of green mass quality ‘Tibetskaya’ (Kazakhstan), ‘Sinegibridnaya 1316’ (Russia), ‘Stavropolskaya 430’ (Russia), ‘Rhizoma’ (Canada), ‘Rambler’ (Canada), ‘VNIIOZ-16’ (Russia), ‘Smuglyanka’ (Ukraine), ‘Karlygash’ (Kazakhstan), ‘Prowler’ (USA), ‘Sarga’ (Russia), ‘G-4’ (Russia), ‘Donskaya 5’ (Russia), ‘Sin 4’ (Russia), ‘Sin 5’ (Russia) and ‘Sin 6’ (Russia) have been recommended for breeding programs to develop alfalfa varieties with large productivity of green mass and nutritional properties of dry matter.

About the Authors

N. S. Kravchenko
FSBSI Agricultural Research Center “Donskoy”
Russian Federation

Candidate of Biological Sciences, leading researcher of the laboratory for biochemical and technological estimation

347740, Rostov region, Zernograd, Nauchny Gorodok Str., 3



А. А. Regidin
FSBSI Agricultural Research Center “Donskoy”
Russian Federation

researcher of the laboratory for breeding and seed production of perennial grasses

347740, Rostov region, Zernograd, Nauchny Gorodok Str., 3



N. G. Ignatieva
FSBSI Agricultural Research Center “Donskoy”
Russian Federation

technician-researcher of the laboratory for biochemical and technological estimation

347740, Rostov region, Zernograd, Nauchny Gorodok Str., 3



References

1. Alabushev A. V., Ignat'ev S. A., Gryazeva T. V., Ignat'eva N. G., Regidin A. A. Produktivnost' sortov lyutserny i espartseta senokosnogo naznacheniya i kachestvo proizvedennogo iz nikh korma [Productivity of alfalfa and sainfoin varieties for haymaking and quality of feed produced from them] // Zemledelie. 2019. № 8. S. 30–32. DOI: 10.24411/0044-3913-2019-10807

2. Alabushev A. V., Metlina G. V., Ignat'ev S. A., Gryazeva T. V., Vasil'chenko S. A. Tekhnologicheskie trebovaniya proizvodstva ob"emistykh kormov v Rostovskoi oblasti [Technological requirements of bulk feed production in the Rostov region]. Rostov-n/D., 2012.

3. Baikalova L. P., Krivonogova D. V., Edimeichev Yu. F. Perspektivnye bobovo-zlakovye travosmesi mnogoletnikh trav dlya kormoproizvodstva Krasnoyarskogo kraya [Promising legume-cereal grass mixtures of perennial grasses for forage production in the Krasnoyarsk Territory] // Vestnik KrasGAU. 2017. № 11(134). S. 20–26.

4. Ivanova, E. P. Urozhainost' i kachestvo razlichnykh sortov lyutserny v usloviyakh Sakhalina [Productivity and quality of various alfalfa varieties in the conditions of Sakhalin] // Vestnik Altaiskogo gosudarstvennogo agrarnogo universiteta. 2022. № 12(218). S. 66–72. DOI: 10.53083/1996-4277-2022-218-12-66-72

5. Ignat'ev S. A., Regidin A. A. Otsenka produktivnosti i kachestva korma populyatsii lyutserny v konkursnom sortoispytanii [Estimation of productivity and quality of alfalfa feed in the Competitive Variety Testing] // Zernovoe khozyaistvo Rossii. 2020. № 1(67). S. 17–22. DOI: 10.31367/2079-8725-2020-67-1-17-22

6. Ignat'ev S. A., Regidin A. A. Otsenka khozyaistvenno-biologicheskikh priznakov kollektsionnykh obraztsov lyutserny v usloviyakh Rostovskoi oblasti [Estimation of economic and biological traits of alfalfa collection samples in the Rostov region] // Zernovoe khozyaistvo Rossii. 2019. № 5(65). S. 50–54. DOI: 10.31367/2079-8725-2019-65-5-50-54

7. Ignat'ev S. A., Regidin A. A., Goryunov K. N., Gryazeva T. V., Ignat'eva N. G., Derova T. G. Rezul'taty izucheniya novogo sorta lyutserny izmenchivoi Sudarynya [Study results of the new alfalfa variety ‘Sudarynya’] // Dostizheniya nauki i tekhniki APK. 2022. T. 36, № 8. S. 25–29. DOI: 10.53859/02352451_2022_36_8_25

8. Jia C., Zhao F., Wang X., Han J., Zhao H., Liu G., Wang Z. Genomic prediction for 25 agronomic and quality traits in alfalfa (Medicago sativa) // Frontiers in Plant Science. 2018. Vol. 9, Article number: 1220. DOI: 10.3389/fpls.2018.01220

9. Ju F. Y., Liu S. D., Zhang S. P., Ma H. J., Chen J., Ge C. W., Shen Q., Zhang X. M., Zhao X. H., Zhang Y. J. et al. Transcriptome analysis and identification of genes associated with fruiting branch internode elongation in upland cotton // BMC Plant Biology. 2019. Vol. 19, Article number: 415.

10. Sousa D. O., Hansen H. H., Hallin O., Nussio L. G., Nadeau E. A two-year comparison on nutritive value and yield of eight lucerne cultivars and one red clover cultivar // Grass and Forage Science. 2020. Vol. 75. P. 76–85.

11. Tucak M., Čupić T., Horvat D., Popović S., Krizmanić G., Ravlić M. Variation of phytoestrogen content and major agronomic traits in alfalfa (Medicago sativa L.) populations // Agronomy. 2020. Vol. 10, Article number: 87.

12. Tucak M., Ravlić M., Horvat D., Čupić T. Improvement of Forage Nutritive Quality of Alfalfa and Red Clover through Plant Breeding Agronomy. 2021. Vol. 11(11), Article number: 2176. DOI: 10.3390/agronomy11112176


Review

For citations:


Kravchenko N.S., Regidin А.А., Ignatieva N.G. Breeding estimation of initial alfalfa material according to green mass productivity and quality. Grain Economy of Russia. 2024;16(6):11-20. (In Russ.) https://doi.org/10.31367/2079-8725-2024-95-6-11-20

Views: 195


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2079-8725 (Print)
ISSN 2079-8733 (Online)