Identification of the regions in the pea genome, responsible for selected parameters of physiological efficiency, as an important element of resistance to the abiotic stresses

Wojciech Święcicki

wswi@igr.poznan.pl
Instytut Genetyki Roślin PAN (Poland)

Magdalena Gawłowska


Instytut Genetyki Roślin PAN (Poland)

Andrzej Górny


Instytut Genetyki Roślin PAN (Poland)

Dominika Ratajczak


Instytut Genetyki Roślin PAN (Poland)

Alicja Niewiadomska


Instytut Genetyki Roślin PAN (Poland)

Lech Boros


Instytut Genetyki Roślin PAN (Poland)

Supporting Agencies

Prace zostały wykonane w ramach badań podstawowych na rzecz postępu biologicznego w produkcji roślinnej na podstawie decyzji Ministra Rolnictwa i Rozwoju Wsi nr HOR.hn.802.18.2018, Zadanie 40.

Keywords:

efektywność wykorzystania azotu i fosforu u grochu, markery molekularne, QTL, współczynnik tolerancji na stres

Fischinger S. A., Schulze J. 2010. The importance of nodule CO2 fixation for the efficiency of symbiotic nitrogen fixation in pea at vegetative growth and during pod formation. J. Exp. Bot. 61 (9): 2281 — 2291.
Google Scholar

Gaj R. (red.) 2013. Efektywne wykorzystanie składników mineralnych z nawozów we współczesnym rolnictwie. Centrum Doradztwa Rolniczego w Brwinowie, Oddział w Poznaniu, Poznań.
Google Scholar


Published
2019-11-30

Cited by

Święcicki, W. . (2019) “Identification of the regions in the pea genome, responsible for selected parameters of physiological efficiency, as an important element of resistance to the abiotic stresses”, Bulletin of Plant Breeding and Acclimatization Institute, (286), pp. 335–337. doi: 10.37317/biul-2019-0075.

Authors

Wojciech Święcicki 
wswi@igr.poznan.pl
Instytut Genetyki Roślin PAN Poland

Authors

Magdalena Gawłowska 

Instytut Genetyki Roślin PAN Poland

Authors

Andrzej Górny 

Instytut Genetyki Roślin PAN Poland

Authors

Dominika Ratajczak 

Instytut Genetyki Roślin PAN Poland

Authors

Alicja Niewiadomska 

Instytut Genetyki Roślin PAN Poland

Authors

Lech Boros 

Instytut Genetyki Roślin PAN Poland

Statistics

Abstract views: 180
PDF downloads: 192


License

Creative Commons License

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

Upon submitting the article, the Authors grant the Publisher a non-exclusive and free license to use the article for an indefinite period of time throughout the world in the following fields of use:

  1. Production and reproduction of copies of the article using a specific technique, including printing and digital technology.
  2. Placing on the market, lending or renting the original or copies of the article.
  3. Public performance, exhibition, display, reproduction, broadcasting and re-broadcasting, as well as making the article publicly available in such a way that everyone can access it at a place and time of their choice.
  4. Including the article in a collective work.
  5. Uploading an article in electronic form to electronic platforms or otherwise introducing an article in electronic form to the Internet or other network.
  6. Dissemination of the article in electronic form on the Internet or other network, in collective work as well as independently.
  7. Making the article available in an electronic version in such a way that everyone can access it at a place and time of their choice, in particular via the Internet.

Authors by sending a request for publication:

  1. They consent to the publication of the article in the journal,
  2. They agree to give the publication a DOI (Digital Object Identifier),
  3. They undertake to comply with the publishing house's code of ethics in accordance with the guidelines of the Committee on Publication Ethics (COPE), (http://ihar.edu.pl/biblioteka_i_wydawnictwa.php),
  4. They consent to the articles being made available in electronic form under the CC BY-SA 4.0 license, in open access,
  5. They agree to send article metadata to commercial and non-commercial journal indexing databases.

Most read articles by the same author(s)

1 2 > >>