Genetic diversity based on SSR markers in maize (Zea mays L.) landraces from Wuling mountain region in China

2008 ◽  
Vol 87 (3) ◽  
pp. 287-291 ◽  
Author(s):  
Yao Qi-Lun ◽  
Fang Ping ◽  
Kang Ke-Cheng ◽  
Pan Guang-Tang
2018 ◽  
Vol 66 (1) ◽  
pp. 243-257 ◽  
Author(s):  
Nawel Belalia ◽  
Antonio Lupini ◽  
Abderrahmane Djemel ◽  
Abdelkader Morsli ◽  
Antonio Mauceri ◽  
...  

2016 ◽  
Vol 11 (24) ◽  
pp. 2118-2128 ◽  
Author(s):  
Pandit Madhav ◽  
Chakraborty Manigopa ◽  
A Haider Z ◽  
Pande Anita ◽  
Prasad Sah Rameshwar ◽  
...  

2008 ◽  
Vol 17 (2) ◽  
pp. 133-140 ◽  
Author(s):  
Bhupender Kumar ◽  
Sujay Rakshit ◽  
R. D. Singh ◽  
R. N. Gadag ◽  
Ravindra Nath ◽  
...  

Agronomy ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 182
Author(s):  
Jan Bocianowski ◽  
Kamila Nowosad ◽  
Barbara Wróbel ◽  
Piotr Szulc

Microsatellite or simple sequence repeat (SSR) markers have wide applicability for genetic analysis in crop plant improvement strategies. Marker-assisted selection is an important tool for plant breeders to increase the efficiency of a breeding process, especially for multigenic traits, highly influenced by the environment. In this paper, the relationships between SSR markers and 26 quantitative traits of hybrid maize varieties (Zea mays L.) were analyzed. Association analyses were performed based on 30 SSR primers in a set of thirteen hybrid maize varieties. A total of 112 SSR markers were detected in these genotypes. The number of alleles per locus ranged from 1 to 17, with the average number of alleles per locus equal to 3.7. The number of molecular markers associated with observed traits ranged from 1 (for the number of kernels in row, ears weight and fresh weight of one plant) to 14 (for damage of maize caused by P. nubilalis) in 2016 as well as from 1 (for soil plant analysis development—SPAD, the number of grains in ear and fresh weight of one plant) to 12 (for carotenoids content) in 2017. The sum of statistically significant associations between SSR markers and at least one trait was equal to one hundred sixty in 2016 as well as one hundred twenty-five in 2017. Marker trait associations (MTAs) were found on the basis of regression analysis. The proportion of the total phenotypic variances of individual traits explained by the marker ranged from 24.4% to 77.7% in the first year of study and from 24.3% to 77.9% in 2017. Twenty-two SSR markers performed a significant effect on at least one tested trait in both years of experiment. The three markers (phi021/4, phi036/3, and phi061/2) can be a good tool in marker-assisted selection because they allow simultaneous selection for multiple traits in both years of study, such as the number of kernels in row and the number of grains in ear (phi021/4), the number of plant after germination, the number of plants before harvest, and the number of ears (phi036/3), as well as moisture of grain and length of ears (phi061/2).


2004 ◽  
Vol 27 (2) ◽  
pp. 228-236 ◽  
Author(s):  
Valdemar P. Carvalho ◽  
Claudete F. Ruas ◽  
Josué M. Ferreira ◽  
Rosângela M.P. Moreira ◽  
Paulo M. Ruas

2017 ◽  
Vol 6 (5) ◽  
pp. 1170-1173
Author(s):  
Martin Vivodík ◽  
Želmíra Balážová ◽  
Zdenka Gálová ◽  
Lenka Petrovičová

2008 ◽  
Vol 51 (1) ◽  
pp. 183-192 ◽  
Author(s):  
Silvia Graciele Hülse de Souza ◽  
Valéria Carpentieri-Pípolo ◽  
Claudete de Fátima Ruas ◽  
Valdemar de Paula Carvalho ◽  
Paulo Maurício Ruas ◽  
...  

The RAPD and SSR markers were used to compare the genetic diversity among the 16 maize inbred lines. Twenty-two primers were used in the RAPD reactions, resulting in the amplification of 265 fragments, while 16 pairs of SSR primers resulted in 75 fragments. The similarity based on Dice coefficient for the RAPD ranged from 53 to 84% and for the SSR from 11 to 82%. The dendrogram obtained by the RAPD showed five groups, while dendrogram obtained by the SSR showed three groups and one isolated line. The association constructed from the markers and the principal coordinate’s analysis separated lines into two groups according to endosperm color, either orange or yellow. The RAPD were effective to validate pedigree data, while the SSR were effective to recognize the differences between the quantitative characters. Because they assess the distinct regions of the genome, the selection of one or other marker would depend on the characteristics of the material used and the objectives of the project.


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