Genetic associations in the detection of QTLs for wheat spike-related traits
2015
Аутори
Brbaklić, LjiljanaTrkulja, Dragana
Kondić-Špika, Ankica
Hristov, Nikola
Denčić, Srbislav
Mikić, Sanja
Tomičić, Marina
Kobiljski, Borislav
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
The objective of this work was to assess the genetic diversity and population structure of wheat genotypes, to detect significant and stable genetic associations, as well as to evaluate the efficiency of statistical models to identify chromosome regions responsible for the expression of spike-related traits. Eight important spike characteristics were measured during five growing seasons in Serbia. A set of 30 microsatellite markers positioned near important agronomic loci was used to evaluate genetic diversity, resulting in a total of 349 alleles. The marker-trait associations were analyzed using the general linear and mixed linear models. The results obtained for number of allelic variants per locus (11.5), average polymorphic information content value (0.68), and average gene diversity (0.722) showed that the exceptional level of polymorphism in the genotypes is the main requirement for association studies. The population structure estimated by model-based clustering distributed the ...genotypes into six subpopulations according to log probability of data. Significant and stable associations were detected on chromosomes 1B, 2A, 2B, 2D, and 6D, which explained from 4.7 to 40.7% of total phenotypic variations. The general linear model identified a significantly larger number of marker-trait associations (192) than the mixed linear model (76). The mixed linear model identified nine markers associated to six traits.
Кључне речи:
Triticum aestivum / genetic resources / microsatellites / population structure / spike-related traitsИзвор:
Pesquisa Agropecuaria Brasileira, 2015, 50, 2, 149-159Издавач:
- Empresa Brasil Pesq Agropec, Brasilia Df
Финансирање / пројекти:
- Савремено оплемењивање стрних жита за садашње и будуће потребе (RS-MESTD-Technological Development (TD or TR)-31066)
DOI: 10.1590/S0100-204X2015000200007
ISSN: 0100-204X
WoS: 000351254900007
Scopus: 2-s2.0-84925247289
Колекције
Институција/група
FiVeRTY - JOUR AU - Brbaklić, Ljiljana AU - Trkulja, Dragana AU - Kondić-Špika, Ankica AU - Hristov, Nikola AU - Denčić, Srbislav AU - Mikić, Sanja AU - Tomičić, Marina AU - Kobiljski, Borislav PY - 2015 UR - http://fiver.ifvcns.rs/handle/123456789/1441 AB - The objective of this work was to assess the genetic diversity and population structure of wheat genotypes, to detect significant and stable genetic associations, as well as to evaluate the efficiency of statistical models to identify chromosome regions responsible for the expression of spike-related traits. Eight important spike characteristics were measured during five growing seasons in Serbia. A set of 30 microsatellite markers positioned near important agronomic loci was used to evaluate genetic diversity, resulting in a total of 349 alleles. The marker-trait associations were analyzed using the general linear and mixed linear models. The results obtained for number of allelic variants per locus (11.5), average polymorphic information content value (0.68), and average gene diversity (0.722) showed that the exceptional level of polymorphism in the genotypes is the main requirement for association studies. The population structure estimated by model-based clustering distributed the genotypes into six subpopulations according to log probability of data. Significant and stable associations were detected on chromosomes 1B, 2A, 2B, 2D, and 6D, which explained from 4.7 to 40.7% of total phenotypic variations. The general linear model identified a significantly larger number of marker-trait associations (192) than the mixed linear model (76). The mixed linear model identified nine markers associated to six traits. PB - Empresa Brasil Pesq Agropec, Brasilia Df T2 - Pesquisa Agropecuaria Brasileira T1 - Genetic associations in the detection of QTLs for wheat spike-related traits EP - 159 IS - 2 SP - 149 VL - 50 DO - 10.1590/S0100-204X2015000200007 ER -
@article{ author = "Brbaklić, Ljiljana and Trkulja, Dragana and Kondić-Špika, Ankica and Hristov, Nikola and Denčić, Srbislav and Mikić, Sanja and Tomičić, Marina and Kobiljski, Borislav", year = "2015", abstract = "The objective of this work was to assess the genetic diversity and population structure of wheat genotypes, to detect significant and stable genetic associations, as well as to evaluate the efficiency of statistical models to identify chromosome regions responsible for the expression of spike-related traits. Eight important spike characteristics were measured during five growing seasons in Serbia. A set of 30 microsatellite markers positioned near important agronomic loci was used to evaluate genetic diversity, resulting in a total of 349 alleles. The marker-trait associations were analyzed using the general linear and mixed linear models. The results obtained for number of allelic variants per locus (11.5), average polymorphic information content value (0.68), and average gene diversity (0.722) showed that the exceptional level of polymorphism in the genotypes is the main requirement for association studies. The population structure estimated by model-based clustering distributed the genotypes into six subpopulations according to log probability of data. Significant and stable associations were detected on chromosomes 1B, 2A, 2B, 2D, and 6D, which explained from 4.7 to 40.7% of total phenotypic variations. The general linear model identified a significantly larger number of marker-trait associations (192) than the mixed linear model (76). The mixed linear model identified nine markers associated to six traits.", publisher = "Empresa Brasil Pesq Agropec, Brasilia Df", journal = "Pesquisa Agropecuaria Brasileira", title = "Genetic associations in the detection of QTLs for wheat spike-related traits", pages = "159-149", number = "2", volume = "50", doi = "10.1590/S0100-204X2015000200007" }
Brbaklić, L., Trkulja, D., Kondić-Špika, A., Hristov, N., Denčić, S., Mikić, S., Tomičić, M.,& Kobiljski, B.. (2015). Genetic associations in the detection of QTLs for wheat spike-related traits. in Pesquisa Agropecuaria Brasileira Empresa Brasil Pesq Agropec, Brasilia Df., 50(2), 149-159. https://doi.org/10.1590/S0100-204X2015000200007
Brbaklić L, Trkulja D, Kondić-Špika A, Hristov N, Denčić S, Mikić S, Tomičić M, Kobiljski B. Genetic associations in the detection of QTLs for wheat spike-related traits. in Pesquisa Agropecuaria Brasileira. 2015;50(2):149-159. doi:10.1590/S0100-204X2015000200007 .
Brbaklić, Ljiljana, Trkulja, Dragana, Kondić-Špika, Ankica, Hristov, Nikola, Denčić, Srbislav, Mikić, Sanja, Tomičić, Marina, Kobiljski, Borislav, "Genetic associations in the detection of QTLs for wheat spike-related traits" in Pesquisa Agropecuaria Brasileira, 50, no. 2 (2015):149-159, https://doi.org/10.1590/S0100-204X2015000200007 . .