Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.12/1688
Título: Bridging sd1 molecular knowledge with recent breeding strategies for the improvement of traditional rice varieties - a japonica case-study
Autor: Negrão, Sónia
Palaniappan, Jayamani
Maroco, João
Lourenço, Tiago
Mackill, David
Oliveira, Maria Margarida
Palavras-chave: Rice
Environmental influence
Data: 2010
Editora: Academic Journals
Citação: African Journal of Biotechnology, 9(15), 2192-2200
Resumo: The rice semidwarfing gene, sd1, also known as the “green revolution gene”, has been studied intensively due to its contribution to the increase of crop production. Although sd1 breeding was extensively applied since the 1960s, the recent advances in the molecular basis of this gene allowed designing a more precise breeding strategy - marker assisted backcrossing (MAB) - to track sd1 introgression in two traditional rice varieties. For selection of sd1 plants we first confirmed the efficiency of specific markers based on Os200 x 2 gene sequence. Background selection was also performed with the help of microsatellites markers (SSR) and a total of 7 breeding lines were recovered containing a higher percentage of recurrent parent genome (RPG). Analysis of Covariance (ANCOVA) using mean progenitor plant height as covariate was performed to compare several agronomic and quality-related parameters in two different environments. The results suggest that plant height differs significantly between the two environments F(1, 220) = 155.336; p < 0.001. From the total variability of plant height we could conclude that 73% is due to the genotype, while 10.4% depends on the environment. In addition, the percentage of RPG seems negatively correlated with plant height (p < 0.005). MAB and background selection thus revealed as useful tools to assist breeding for semidwarfism in traditional rice varieties.
Peer review: yes
URI: http://hdl.handle.net/10400.12/1688
ISSN: 1684–5315
Aparece nas colecções:BIOL - Artigos em revistas internacionais

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