scholarly journals Genetic Analysis and Molecular Mapping of Quantitative Trait Loci in Common Bean Against Pythium ultimum

2010 ◽  
Vol 100 (12) ◽  
pp. 1315-1320 ◽  
Author(s):  
Ana Campa ◽  
Elena Pérez-Vega ◽  
Aida Pascual ◽  
Juan José Ferreira
Keyword(s):  
Quantitative Trait Loci ◽  
Common Bean ◽  
Seed Coat ◽  
Quantitative Trait ◽  
Molecular Mapping ◽  
Recombinant Inbred Lines ◽  
Pythium Ultimum ◽  
Seedling Vigor ◽  
Emergence Rate ◽  
Trait Loci

Pythium ultimum is a soil pathogen that can cause seed decay and damage to roots in common bean. In this study, the response of a set of 40 common bean genotypes to P. ultimum and inheritance of the resistance in the 92 F7 recombinant inbred lines (RIL) developed from a cross between Xana and Cornell 49242 was investigated by using emergence rate and seedling vigor. Emergence of the 40 genotypes showed a significant association between white seed coat and response to this pathogen. Among these, 11 common bean genotypes, all with colored seeds, exhibited a high percentage of emergence and seedling vigor not significantly different (P > 0.05) to noninoculated plants. Response of the RIL population revealed both qualitative and quantitative modes of inheritance. A major gene (Py-1) controlling the emergence rate was mapped in the region of the gene P, a basic color gene involved in control of seed coat color, located on LG 7. Using the RIL subpopulation with colored seeds, a significant quantitative trait loci (QTL) associated with the emergence rate (ER3XC) and another with seedling vigor (SV6XC) were identified on the LG 3 and 6, respectively. QTL SV6XC was mapped in the region of the gene V, another gene involved the genetic control of color. QTLs associated with seed traits were mapped in the same relative position as regions involved in responses to P. ultimum suggesting the possible implication of avoidance mechanisms in the response to this pathogen.

Identification of quantitative trait loci underlying lutein content in soybean seeds across multiple environments

2017 ◽  
Vol 155 (8) ◽  
pp. 1263-1271 ◽  
Author(s):  
W. L. TENG ◽  
W. J. FENG ◽  
J. Y. ZHANG ◽  
N. XIA ◽  
J. GUO ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Phenotypic Variation ◽  
Quantitative Trait ◽  
Average Distance ◽  
Recombinant Inbred Lines ◽  
Chromosome 9 ◽  
Soybean Seeds ◽  
Trait Loci ◽  
Breeding Programmes ◽  
Lutein Content

SUMMARYLutein benefits human health significantly, including that of the eyes, skin and heart. Therefore, increasing lutein content in soybean seeds is an important objective for breeding programmes. However, no information about soybean lutein-related quantitative trait loci (QTL) has been reported, as of 2016. The aim of the present study was to identify QTLs underlying the lutein content in soybean seeds. A population including 129 recombinant inbred lines was developed from the cross between ‘Dongnong46’ (lutein 13·10 µg/g) and ‘L-100’ (lutein 23·96 µg/g), which significantly differed in seed lutein contents. This population was grown in ten environments including Harbin in 2012, 2013, 2014 and 2015; Hulan in 2013, 2014 and 2015; and Acheng in 2013, 2014 and 2015. A total of 213 simple sequence repeat markers were used to construct the genetic linkage map, which covered approximately 3623·39 cM, with an average distance of 17·01 cM between markers. In the present study, eight QTLs associated with lutein content were found initially, which could explain 1·01–19·66% of the observed phenotypic variation in ten different tested environments. The phenotypic contribution of qLU-1 (located near BARC-Satt588 on chromosome 9 (Chr 9; linkage group (LG) K)) was >10% across seven tested environments, while qLU-2 (located near Satt192 of Chr 12 (LG H)) and qLU-3 (located near Satt353 of Chr12 (LGH)) could explain 5–10% of the observed phenotypic variation in more than seven environments, respectively. qLU-5, qLU-6, qLU-7 and qLU-8 could be detected in more than four environments. These eight QTLs were novel, and have considerable potential value for marker-assistant selection of higher lutein content in soybean lines.

scholarly journals Wheat genetic resources – how to exploit?

2011 ◽  
Vol 47 (Special Issue) ◽  
pp. S43-S48 ◽  
Author(s):  
A. Börner ◽  
K. Neumann ◽  
B. Kobiljski
Keyword(s):  
Quantitative Trait Loci ◽  
Genetic Resources ◽  
Quantitative Trait ◽  
Molecular Mapping ◽  
Agronomic Traits ◽  
Wide Spectrum ◽  
Plant Genetic Resources ◽  
Germplasm Collections ◽  
Food And Agriculture ◽  
Trait Loci

It is estimated that world-wide existing germplasm collections contain about 7.5 million accessions of plant genetic resources for food and agriculture. Wheat (Triticum and Aegilops) represents the biggest group comprising 900 000 accessions. However, such a huge number of accessions is hindering a successful exploitation of the germplasm. The creation of core collections representing a wide spectrum of the genetic variation of the whole assembly may help to overcome the problem. Here we demonstrate the successful utilisation of such a core collection for the identification and molecular mapping of genes (Quantitative Trait Loci) determining the agronomic traits flowering time and grain yield, exploiting a marker-trait-association based technique. Significant marker-trait associations were obtained and are presented. The intrachromosomal location of many of these associations coincided with those of already identified major genes or quantitative trait loci, but others were detected in regions where no known genes have been located to date.

Mapping of quantitative trait loci controlling seedling vigor in rice (Oryza sativa L.) under submergence

Euphytica ◽  
2012 ◽  
Vol 192 (1) ◽  
pp. 63-75 ◽  
Author(s):  
O. E. Manangkil ◽  
H. T. T. Vu ◽  
N. Mori ◽  
S. Yoshida ◽  
C. Nakamura
Keyword(s):  
Oryza Sativa ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Oryza Sativa L ◽  
Seedling Vigor ◽  
Trait Loci

scholarly journals Molecular mapping of quantitative trait loci for agronomical traits in soybean under Asian soybean rust infection

2018 ◽  
Vol 18 (4) ◽  
pp. 390-398 ◽  
Author(s):  
João Vitor Maldonado dos Santos ◽  
Naoki Yamanaka ◽  
Francismar Corrêa Marcelino-Guimarães ◽  
José Francisco Ferraz de Toledo ◽  
Carlos Alberto Arrabal Arias ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Molecular Mapping ◽  
Soybean Rust ◽  
Rust Infection ◽  
Asian Soybean Rust ◽  
Trait Loci ◽  
Agronomical Traits
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