Quantitative trait loci for agronomic traits in tetraploid wheat for enhancing grain yield in Kazakhstan environments

Understanding the genetic basis of agronomic traits is essential for wheat breeding programs to develop new cultivars with enhanced grain yield under climate change conditions. The use of high-throughput phenotyping (HTP) technologies for the assessment of agronomic performance through drought-adaptive traits opens new possibilities in plant breeding. HTP together with a genome-wide association study (GWAS) mapping approach can be a useful method to dissect the genetic control of complex traits in wheat to enhance grain yield under drought stress. This study aimed to identify molecular markers associated with agronomic and remotely sensed vegetation index (VI)-related traits under rainfed conditions in bread wheat and to use an in silico candidate gene (CG) approach to search for upregulated CGs under abiotic stress. The plant material consisted of 170 landraces and 184 modern cultivars from the Mediterranean basin. The collection was phenotyped for agronomic and VI traits derived from multispectral images over 3 and 2 years, respectively. The GWAS identified 2,579 marker-trait associations (MTAs). The quantitative trait loci (QTL) overview index statistic detected 11 QTL hotspots involving more than one trait in at least 2 years. A CG analysis detected 12 CGs upregulated under abiotic stress in six QTL hotspots and 46 downregulated CGs in 10 QTL hotspots. The current study highlights the utility of VI to identify chromosome regions that contribute to yield and drought tolerance under rainfed Mediterranean conditions.

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

Genome ◽

10.1139/g05-055 ◽

2005 ◽

Vol 48 (5) ◽

pp. 870-883 ◽

Cited By ~ 165

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.

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Identification of quantitative trait loci for agronomic traits contributed by a barley (Hordeum vulgare) Mediterranean landrace

Crop and Pasture Science ◽

10.1071/cp15149 ◽

2016 ◽

Vol 67 (1) ◽

pp. 37 ◽

Cited By ~ 6

Author(s):

Ridha Boudiar ◽

Ana M. Casas ◽

Carlos P. Cantalapiedra ◽

M. Pilar Gracia ◽

Ernesto Igartua

Keyword(s):

Quantitative Trait Loci ◽

Hordeum Vulgare ◽

Grain Yield ◽

Quantitative Trait ◽

Agronomic Traits ◽

Genotyping By Sequencing ◽

Kernel Weight ◽

Nucleotide Polymorphisms ◽

Hordeum Vulgare L ◽

Trait Loci

Some Spanish barley (Hordeum vulgare L.) landraces perform better than modern cultivars at low-production sites. The objective of this study was to identify favourable quantitative trait loci (QTLs) for interesting agronomic traits contributed by the landrace SBCC073. To achieve this objective, a population of 100 BC1F5 lines was derived from the cross between the elite cultivar Orria, with high productivity, and the Spanish landrace SBCC073, which was the best performer in low-production trials. The population was evaluated in field trials for 3 years (2011, 2013, and 2014) in Zaragoza, Spain. The population was genotyped with a DArTseq genotyping-by-sequencing assay. A genetic linkage map was developed by using markers of four flowering-time genes and 1227 single-nucleotide polymorphisms of good quality. The genetic map resulted in 11 linkage groups, covering a total distance of 871.1 cM. Five QTLs for grain yield were detected on 2H.1, 4H, 5H and 6H.2. Alleles from SBCC073 contributed to increased yield in three of them. A region at the end of chromosome 5H contains favourable alleles for early vigour, higher grain yield and earlier flowering, all derived from SBCC073. Alleles from Orria contributed to increasing grain yield and simultaneously to reducing plant height on the same region of 6H.2, and to increasing 1000-kernel weight on chromosomes 3H and 5H.

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Analysis of Quantitative Trait Loci (QTL) for Grain Yield and Agronomic Traits in Wheat (Triticum aestivum L.) Under Normal and Salt-Stress Conditions

Plant Molecular Biology Reporter ◽

10.1007/s11105-015-0876-8 ◽

2015 ◽

Vol 33 (6) ◽

pp. 2030-2040 ◽

Cited By ~ 9

Author(s):

Vahideh Narjesi ◽

Mohsen Mardi ◽

Eslam Majidi Hervan ◽

Amin Azadi ◽

Mohammad Reza Naghavi ◽

...

Keyword(s):

Triticum Aestivum ◽

Salt Stress ◽

Quantitative Trait Loci ◽

Grain Yield ◽

Quantitative Trait ◽

Agronomic Traits ◽

Triticum Aestivum L ◽

Stress Conditions ◽

Trait Loci

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Quantitative Trait Loci for Grain Yield and Adaptation of Durum Wheat (Triticum durumDesf.) Across a Wide Range of Water Availability

Genetics ◽

10.1534/genetics.107.077297 ◽

2008 ◽

Vol 178 (1) ◽

pp. 489-511 ◽

Cited By ~ 253

Author(s):

Marco Maccaferri ◽

Maria Corinna Sanguineti ◽

Simona Corneti ◽

José Luis Araus Ortega ◽

Moncef Ben Salem ◽

...

Keyword(s):

Quantitative Trait Loci ◽

Grain Yield ◽

Durum Wheat ◽

Water Availability ◽

Quantitative Trait ◽

Wide Range ◽

Trait Loci

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Prioritizing quantitative trait loci for root system architecture in tetraploid wheat

Journal of Experimental Botany ◽

10.1093/jxb/erw039 ◽

2016 ◽

Vol 67 (4) ◽

pp. 1161-1178 ◽

Cited By ~ 80

Author(s):

Marco Maccaferri ◽

Walid El-Feki ◽

Ghasemali Nazemi ◽

Silvio Salvi ◽

Maria Angela Canè ◽

...

Keyword(s):

Quantitative Trait Loci ◽

Root System ◽

System Architecture ◽

Quantitative Trait ◽

Tetraploid Wheat ◽

Root System Architecture ◽

Trait Loci

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

Compendium of Plant Genomes - The Brassica napus Genome ◽

10.1007/978-3-319-43694-4_3 ◽

2018 ◽

pp. 41-85 ◽

Cited By ~ 8

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

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Wheat genetic resources – how to exploit?

Czech Journal of Genetics and Plant Breeding ◽

10.17221/3253-cjgpb ◽

2011 ◽

Vol 47 (Special Issue) ◽

pp. S43-S48 ◽

Cited By ~ 1

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.

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