Identification of QTLs for seedling vigor in winter wheat

Li, Xingmao; Chen, Xinmin; Xiao, Yonggui; Xia, Xianchun; Wang, Desen; He, Zhonghu; Wang, Huajun

doi:10.1007/s10681-014-1092-6

Cited by 27 publications

(23 citation statements)

References 36 publications

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“…Allelic effects and chromosomal location are given in Tables 7-9. It is important to note that although several publications have reported QTL for traits related to early vigour (e.g., [29][30][31][32][33]), to date there have been no QTL reported for embryo size in wheat. The QTL shown in green indicate the first parent (e.g., Sunco or Cranbrook) contributes a positive allele (e.g., increased embryo width) while a red QTL indicates the first parent contributes a negative allele (e.g., reduced embryo width) at the designated QTL.…”

Section: Qtl Analysesmentioning

confidence: 99%

“…In the Sunco/Tasman population, a QTL for leaf one width from the Tasman parent was also identified on chromosome 2D. In field studies aimed at indirect assessment of early vigour via canopy measures of Normalized difference vegetation index (NDVI) and ground cover, up to 37 QTL of commonly small genetic effect were reported [33]. Many of the regions reported in their study (e.g., 1B, 2D, 4B and 5B) were located on the same chromosome arms reported in the Sunco/Tasman and Cranbrook/Halberd populations.…”

Section: Qtl Analysesmentioning

confidence: 99%

“…Further, it has been previously reported [28] that the correlation of seed size to early vigour performance might be more pronounced under conditions of moisture stress than in well-watered conditions. Genomic regions and underlying genetic loci associated with early vigour have been reported for wheat by several sources [29][30][31][32][33]. However, to date there have been no published reports describing genes or Quantitative Trait Locus (QTL) for embryo size in wheat.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Genomic Regions for Embryo Size and Early Vigour in Multiple Wheat (Triticum aestivum L.) Populations

Moore

Rebetzke

2015

Agronomy

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Abstract:Greater early vigour has potential for increasing biomass and grain yields of wheat crops in Mediterranean-type environments. Embryo size is an important determinant of early vigour in barley and likely to contribute to greater vigour in wheat. Little is known of the underlying genetic control for embryo size, or its genetic association with early vigour in wheat. Over 150 doubled-haploid lines in each of three unrelated wheat populations varying for embryo size and early vigour were phenotyped across multiple controlled environments. The Quantitative Trait Locus (QTL) mapping was then undertaken to understand genetic control and chromosomal location of these characteristics. Genotypic variance was large and repeatable for embryo and leaf size (width and length) but not specific leaf area or coleoptile tiller size. Genetic correlations for embryo size with leaf width and area were moderate to strong in size while repeatabilities for embryo size and early vigour were high on a line-mean basis. Multiple genomic regions were identified of commonly small genetic effect for each trait with many of these regions being common across populations. Further, collocation of regions for many traits inferred a common genetic basis for many of these traits. Chromosomes 1B, 5B, 7A and 7D, and the Rht-B1b and Rht-D1b-containing chromosomes 4B and 4D contained QTL for embryo size and leaf width. These studies indicate that while early vigour is a genetically complex trait, the selection of larger embryo progeny can be readily achieved in a wheat breeding program targeting development of high vigour lines. OPEN ACCESSAgronomy 2015, 5 153

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Section: Qtl Analysesmentioning

confidence: 99%

Section: Qtl Analysesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Genomic Regions for Embryo Size and Early Vigour in Multiple Wheat (Triticum aestivum L.) Populations

Moore

Rebetzke

2015

Agronomy

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“…It was first proposed for use in wheat (Mullan and Garcia 2011) and soybean RS Nalin et al (Cober and Morrison 2011). Li et al (2014) also applied this methodology in wheat aiming to detect QTLs associated with seedling emergence vigor. High heritability estimates were obtained for this trait, which indicates the possibility of discriminating contrasting genotypes using the methodology.…”

Section: Introductionmentioning

confidence: 99%

A genetic study of traits related to canopy coverage in common bean

Nalin

Ramalho

Carvalho

2017

Crop Breed. Appl. Biotechnol.

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“…Hence, given the large number of other traits breeders already need to combine, it is unlikely that markers linked to minor QTL will be targeted, unless they contribute to significant yield increase in most environments and are difficult to phenotype (Richard et al, 2009). Finally, even when major key QTL are identified (Zhang et al, 2014;Li et al, 2014, Bennett et al, 2012b, they are often too poorly defined by markers to be useful for breeders (Richard et al, 2009).…”

Section: Drought Adaptation Is a Complex Traitmentioning

confidence: 99%

Breeding wheat for drought adaptation: Development of selection tools for root architectural traits

Richard¹

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A crop's ability to explore the soil profile and extract available water at different depths is largely determined by root system architecture. For instance in wheat (Triticum aestivum L.), it has been suggested that a narrow and deep root system can provide better access to deep soil moisture. Such root systems are particularly beneficial for rain-fed regions where crops rely heavily on stored soil moisture at depth, as encountered in the eastern Australian wheat belt. Thus, by targeting desirable root architectural traits, wheat breeders could increase genetic gain for yield in response to the growing demand for food. Yet, selection for these below-ground traits is challenging because roots are difficult to measure and are under complex genetic control. The aim of this project was to develop new phenotypic and molecular selection tools to facilitate selection for root architectural traits in Australian wheat breeding programs targeting terminal moisture stress adaptation. This project focuses on narrow seminal root angle and high number of seminal roots in wheat seedlings; two proxy traits for desirable mature root system architecture. Firstly, to overcome the lack of efficient root screening methods, a high-throughput and cost-effective method for phenotyping seminal root angle and number in wheat was developed, using clear pots in a controlled environment growth facility. Compared to pre-existing phenotyping methods, the newly developed method successfully provided higher heritability, greater repeatability, and better efficiency in terms of time, space, and labour. Further, the clear-pot method revealed a high degree of phenotypic variation for both seminal root traits. Subsequently, to test the ability to introgressed allelic variation for seminal root angle into elite Australian wheat cultivars via phenotypic selection, backcross tail populations for both narrow and wide root angle were developed, using the clear-pot method. Rapid shifts in both population distribution and allele frequency were observed after just two rounds of selection. Further, comparison of the tail populations revealed some genomic regions under selection, for which marker-assisted selection appeared successful. Hence, genetic diversity can be exploited via phenotypic and molecular selection to target desired root system architecture in wheat breeding programs.

show abstract

Identification of QTLs for seedling vigor in winter wheat

Cited by 27 publications

References 36 publications

Genomic Regions for Embryo Size and Early Vigour in Multiple Wheat (Triticum aestivum L.) Populations

Genomic Regions for Embryo Size and Early Vigour in Multiple Wheat (Triticum aestivum L.) Populations

A genetic study of traits related to canopy coverage in common bean

Breeding wheat for drought adaptation: Development of selection tools for root architectural traits

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