Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Natasha Sharopova"'
Autor:
Deborah A. Samac, Kathryn A. VandenBosch, Divya Chandran, J. Stephen Gantt, Sergey I. Ivashuta, Natasha Sharopova
Publikováno v:
Planta. 228:151-166
Oligonucleotide microarrays corresponding to over 16,000 genes were used to analyze changes in tran- script accumulation in root tips of the Al-sensitive Medi- cago truncatula cultivar Jemalong genotype A17 in response to Al treatment. Out of 2,782 g
Autor:
Dawn Foster-Hartnett, D. Danesh, Gabriella Endre, Nevin D. Young, Natasha Sharopova, Kathryn A. VandenBosch, Silvia Penuela, Deborah A. Samac
Publikováno v:
Molecular plant pathology. 8(3)
SUMMARY Powdery mildew is an economically important disease in a number of crop legumes; however, little is known about resistance to the disease in these species. To gain a better understanding of the genetics of resistance and plant responses to po
Autor:
Ernő Kiss, B. Olah, H. Tiricz, A. Borbola, Gabriella Endre, Kathryn A. VandenBosch, Natasha Sharopova, Anita Lózsa, Kavitha T. Kuppusamy
Publikováno v:
Biological Nitrogen Fixation: Towards Poverty Alleviation through Sustainable Agriculture ISBN: 9781402082511
The Medicago truncatula lin (lumpy infections) mutant, which is defective in intermediate steps of nodule differentiation, has been identified previously as an EMS mutant of line A17 (Penmetsa and Cook, 2000). This mutant is characterized by a four-f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a17ab0f4d2abdc22c6579f859d75895b
https://doi.org/10.1007/978-1-4020-8252-8_83
https://doi.org/10.1007/978-1-4020-8252-8_83
Autor:
Kate Houchins, Georgia L. Davis, Young-Sun Yim, Jack M. Gardiner, Linda Schultz, Steven G. Schroeder, Hector Sanchez-Villeda, Michael D. McMullen, Mary L. Polacco, Irie Vroh-Bi, Natasha Sharopova, Edward H. Coe, Karen C. Cone, Ngozi A. Duru, Seth A. Havermann, Theresa A. Musket, Zhiwei Fang
Publikováno v:
Bioinformatics (Oxford, England). 19(16)
Motivation: The development of an integrated genetic and physical map for the maize genome involves the generation of an enormous amount of data. Managing this data requires a system to aid in genotype scoring for different types of markers coming fr