Differentiation of sunflower lines by cold tolerance

Коломацька, В. П.; Syvenko, V. I.; Kyrychenko, V. V.; Андриенко, В В; Leonova, N. M.; Kucherenko, Ye.Yu.

doi:10.30835/2413-7510.2020.222281

Plant Breeding and Seed Production

2020

DOI: 10.30835/2413-7510.2020.222281

|View full text |Cite

Differentiation of sunflower lines by cold tolerance

В. П. Коломацька¹,

V. I. Syvenko²,

V. V. Kyrychenko³

et al.

Abstract: За результатами лабораторної оцінки методом холодного пророщування проведено диференціацію ліній соняшнику за стійкістю до дії низьких температур на початкових етапах розвитку. Серед ліній-закріплювачів стерильності (стерильних аналогів) та відновників фертильності виділено п"ять ліній з високим рівнем холодостійкості, які визначено як джерела цієї ознаки. Визначено рівень та мінливість селекційних ознак ліній соняшнику, наведено характеристику ліній-джерел холодостійкості за цінними господарськими, морфологіч… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Can Cold-Tolerant Hybrids Be Created by Crossing Cold-Tolerant Parental Lines?

Kolomatska,

Liana,

Syvenko

et al. 2023

Probl Cryobiol Cryomed

View full text Add to dashboard Cite

Can Cold-Tolerant Hybrids Be Created by Crossing Cold-Tolerant Parental Lines?

Kolomatska,

Liana,

Syvenko

et al. 2023

Probl Cryobiol Cryomed

View full text Add to dashboard Cite

Spatiotemporal patterns and vegetation forecasting of sunflower hybrids in soil and climatic conditions of the Ukrainian Steppe zone

Pichura,

Potravka,

Domaratskiy

et al. 2023

UBSRAS

View full text Add to dashboard Cite

Long-term studies of tillage and crop management are essential in finding out which crop production practices would contribute to sustainable yields and profits. In the conditions of climate change, such issues as selection, forecasting and adjustment of crop cultivation systems in the zone of moisture deficit and agricultural risk management are especially relevant. Therefore, the aim of the study was to establish spatiotemporal patterns of vegetative development of sunflower hybrids and predict their productivity in the soil and climatic conditions of the Ukrainian Steppe. A detailed analysis of seasonal changes in the values of the normalized difference vegetation index in sunflower hybrid crops during the 2019-2021 time period was carried out with the help of space images from the Sentinel 2 satellite device, and then processed with the ArcGis 10.6 licensed software product. The credibility of the achieved results of the condition of crops in different phases of plant vegetation on the basis of NDVI and the possibility of their use for forecasting the yield of agricultural crops have been proven. The adjustment capabilities of various sunflower hybrids to the STeppe soil and climate conditions were determined, particularly in regards of such hybrids as Oplot, Hektor, DSL403, P64GE133, 8X477KL. A model of the yield forecasting function for each sunflower hybrid was developed according to the annual level of moisture supply. The level of data approximation of the forecasting models was 97.2-99.9%. It is suggested to use system functional models developed specifically for different moisture supply and plant nutrition conditions in order to forecast of the yield of sunflower hybrids according to a particular situation. The results can be used to improve the methodology of researching the vegetation of agricultural crops, to validate crop rotation, to choose the best practical ways for the use of multifunctional growth-regulating substances, to define the climatic adjustment of cultivars and hybrids, to manage resources, to develop adaptive climate technologies in agriculture and crop production, to calculate their efficiency, to forecast the yield and to ensure the profitability of agricultural production in the moisture deficit zone and managing a high-risk farming

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Differentiation of sunflower lines by cold tolerance

Cited by 2 publications

References 5 publications

Can Cold-Tolerant Hybrids Be Created by Crossing Cold-Tolerant Parental Lines?

Can Cold-Tolerant Hybrids Be Created by Crossing Cold-Tolerant Parental Lines?

Spatiotemporal patterns and vegetation forecasting of sunflower hybrids in soil and climatic conditions of the Ukrainian Steppe zone

Contact Info

Product

Resources

About