scholarly journals Identification of quantitative trait loci underlying five major agronomic traits of soybean in three biparental populations by specific length amplified fragment sequencing (SLAF-seq)

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12416
Author(s):  
Bo Hu ◽  
Yuqiu Li ◽  
Hongyan Wu ◽  
Hong Zhai ◽  
Kun Xu ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Flowering Time ◽  
Plant Height ◽  
Quantitative Trait ◽  
Agronomic Traits ◽  
Central China ◽  
Main Stem ◽  
Plant Type ◽  
Branch Number ◽  
Trait Loci

Flowering time, plant height, branch number, node numbers of main stem and pods per plant are important agronomic traits related to photoperiodic sensitivity, plant type and yield of soybean, which are controlled by multiple genes or quantitative trait loci (QTL). The main purpose of this study is to identify new QTL for five major agronomic traits, especially for flowering time. Three biparental populations were developed by crossing cultivars from northern and central China. Specific loci amplified fragment sequencing (SLAF-seq) was used to construct linkage map and QTL mapping was carried out. A total of 10 QTL for flowering time were identified in three populations, some of which were related to E1 and E2 genes or the other reported QTL listed in Soybase. In the Y159 population (Xudou No.9 × Kenfeng No.16), QTL for flowering time on chromosome 4, qFT4_1 and qFT4_2 were new. Compared with the QTL reported in Soybase, 1 QTL for plant height (PH), 3 QTL for branch number (BR), 5 QTL for node numbers of main stem, and 3 QTL for pods per plant were new QTL. Major E genes were frequently detected in different populations indicating that major the E loci had a great effect on flowering time and adaptation of soybean. Therefore, in order to further clone minor genes or QTL, it may be of great significance to carefully select the genotypes of known loci. These results may lay a foundation for fine mapping and clone of QTL/genes related to plant-type, provided a basis for high yield breeding of soybean.

Mapping quantitative trait loci controlling agronomic traits in the spring wheat cross RL4452 × 'AC Domain'

Genome ◽  
2005 ◽  
Vol 48 (5) ◽  
pp. 870-883 ◽  
Author(s):  
C A McCartney ◽  
D J Somers ◽  
D G Humphreys ◽  
O Lukow ◽  
N Ames ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Quantitative Trait Loci ◽  
Grain Yield ◽  
Plant Height ◽  
Quantitative Trait ◽  
Agronomic Traits ◽  
Grain Weight ◽  
Test Weight ◽  
Trait Loci ◽  
1000 Grain Weight

Relatively little is known about the genetic control of agronomic traits in common wheat (Triticum aestivum L.) compared with traits that follow Mendelian segregation patterns. A doubled-haploid population was generated from the cross RL4452 × 'AC Domain' to study the inheritance of the agronomic traits: plant height, time to maturity, lodging, grain yield, test weight, and 1000-grain weight. This cross includes the genetics of 2 western Canadian wheat marketing classes. Composite interval mapping was conducted with a microsatellite linkage map, incorporating 369 loci, and phenotypic data from multiple Manitoba environments. The plant height quantitative trait loci (QTLs), QHt.crc-4B and QHt.crc-4D, mapped to the expected locations of Rht-B1 and Rht-D1. These QTLs were responsible for most of the variation in plant height and were associated with other agronomic traits. An additional 25 agronomic QTLs were detected in the RL4452 × 'AC Domain' population beyond those associated with QHt.crc-4B and QHt.crc-4D. 'AC Domain' contributed 4 alleles for early maturity, including a major time to maturity QTL on 7D. RL4452 contributed 2 major alleles for increased grain yield at QYld.crc-2B and QYld.crc-4A, which are potential targets for marker-assisted selection. A key test weight QTL was detected on 3B and prominent 1000-grain weight QTLs were identified on 3D and 4A.Key words: height, lodging, mapping, maturity, microsatellite markers, test weight, 1000-grain weight, Triticum aestivum, wheat, yield.

scholarly journals Quantitative trait loci for yield and morphological traits in maize under drought stress

Genetika ◽  
2011 ◽  
Vol 43 (2) ◽  
pp. 263-276 ◽  
Author(s):  
Ana Nikolic ◽  
Violeta Andjelkovic ◽  
Dejan Dodig ◽  
Dragana Ignjatovic-Micic
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Agronomic Traits ◽  
Phenotypic Variability ◽  
Interval Mapping ◽  
Chromosome 9 ◽  
Phenotypic Correlation ◽  
Branch Number ◽  
Maize Varieties ◽  
Trait Loci

Drought is one of the most important factors contributing to crop yield loss. In order to develop maize varieties with drought tolerance, it is necessary to explore the genetic basis. Mapping quantitative trait loci (QTL) that control the yield and associate agronomic traits is one way of understanding drought genetics. QTLs associated with grain yield (GY), leaf width (LW3, LW4) plant height (PH), ear height (EH), leaf number (NL), tassel branch number (TBN) and tassel length (TL) were studied with composite interval mapping. A total of 43 QTLs were detected, distributed on all chromosomes, except chromosome 9. Phenotypic variability determined for the identified QTLs for all the traits was in the range from 20.99 to 87.24%. Mapping analysis identified genomic regions associated with two traits in a manner that was consistent with phenotypic correlation among traits, supporting either pleiotropy or tight linkage among QTLs.

Genes and Quantitative Trait Loci Mapping for Major Agronomic Traits in Brassica napus L.

2018 ◽  
pp. 41-85 ◽  
Author(s):  
Régine Delourme ◽  
Anne Laperche ◽  
Anne-Sophie Bouchet ◽  
Mélanie Jubault ◽  
Sophie Paillard ◽  
...  
Keyword(s):  
Brassica Napus ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Agronomic Traits ◽  
Quantitative Trait Loci Mapping ◽  
Brassica Napus L ◽  
Trait Loci

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.

Genetics of Soybean Agronomic Traits: II. Interactions between Yield Quantitative Trait Loci in Soybean

Crop Science ◽  
1999 ◽  
Vol 39 (6) ◽  
pp. 1652-1657 ◽  
Author(s):  
J. H. Orf ◽  
K. Chase ◽  
F. R. Adler ◽  
L. M. Mansur ◽  
K. G. Lark
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Agronomic Traits ◽  
Trait Loci

scholarly journals Quantitative trait loci for agronomic traits in an elite barley population for Mediterranean conditions

2013 ◽  
Vol 33 (2) ◽  
pp. 249-265 ◽  
Author(s):  
Elsayed Mansour ◽  
Ana M. Casas ◽  
M. Pilar Gracia ◽  
José Luis Molina-Cano ◽  
Marian Moralejo ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Agronomic Traits ◽  
Trait Loci ◽  
Barley Population ◽  
Mediterranean Conditions

Identification of Quantitative Trait Loci in Rice for Yield, Yield Components, and Agronomic Traits across Years and Locations

Crop Science ◽  
2007 ◽  
Vol 47 (6) ◽  
pp. 2403-2417 ◽  
Author(s):  
Yong-Gu Cho ◽  
Hyeon-Jung Kang ◽  
Jeom-Sig Lee ◽  
Young-Tae Lee ◽  
Sang-Jong Lim ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Yield Components ◽  
Agronomic Traits ◽  
Trait Loci
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