Genetic architecture of rind penetrometer resistance in two maize recombinant inbred line populations

Li, Kun; Yan, Jianbing; Li, Jiansheng; Yang, Xiaohong

doi:10.1186/1471-2229-14-152

Cited by 47 publications

(51 citation statements)

References 54 publications

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“…High marker density is preferable for accurate identification of recombination breakpoints in mapping populations and improvement in the estimates of QTL positions. Advances in sequencing technology have enabled higher marker densities for identification of genetic loci associated with agronomic traits (Jones et al ; Ganal et al ; Tian et al ; Li et al ). Use of GBS and construction of bin maps has proven to be a successful strategy for improved QTL detection in rice (Huang et al ; Xie et al ; Yu et al ) and sorghum (Zou et al ).…”

Section: Discussionmentioning

confidence: 99%

Genetic dissection of maize seedling root system architecture traits using an ultra‐high density bin‐map and a recombinant inbred line population

Song

Wang

Hauck

et al. 2016

JIPB

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Maize (Zea mays) root system architecture (RSA) mediates the key functions of plant anchorage and acquisition of nutrients and water. In this study, a set of 204 recombinant inbred lines (RILs) was derived from the widely adapted Chinese hybrid ZD958(Zheng58 × Chang7‐2), genotyped by sequencing (GBS) and evaluated as seedlings for 24 RSA related traits divided into primary, seminal and total root classes. Significant differences between the means of the parental phenotypes were detected for 18 traits, and extensive transgressive segregation in the RIL population was observed for all traits. Moderate to strong relationships among the traits were discovered. A total of 62 quantitative trait loci (QTL) were identified that individually explained from 1.6% to 11.6% (total root dry weight/total seedling shoot dry weight) of the phenotypic variation. Eighteen, 24 and 20 QTL were identified for primary, seminal and total root classes of traits, respectively. We found hotspots of 5, 3, 4 and 12 QTL in maize chromosome bins 2.06, 3.02‐03, 9.02‐04, and 9.05‐06, respectively, implicating the presence of root gene clusters or pleiotropic effects. These results characterized the phenotypic variation and genetic architecture of seedling RSA in a population derived from a successful maize hybrid.

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Section: Discussionmentioning

confidence: 99%

Genetic dissection of maize seedling root system architecture traits using an ultra‐high density bin‐map and a recombinant inbred line population

Song

Wang

Hauck

et al. 2016

JIPB

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“…The improvement of stalk strength is time-consuming in maize breeding, as exemplified by the decreasing stalk lodging rate from 19.6 to 13.6% within the Iowa Stiff Stalk Synthetic maize population, which required more than 50 years of recurrent selection (Lamkey, 1992). Several genetic studies have revealed that stalk strength is generally controlled by numerous quantitative trait loci (QTLs; Flint-Garcia et al, 2003b;Peiffer et al, 2013;Li et al, 2014). However, the molecular genetic mechanism related to stalk strength in maize remains largely unknown.…”

Section: Introductionmentioning

confidence: 99%

A Large Transposon Insertion in the stiff1 Promoter Increases Stalk Strength in Maize

Zhang

Lin

et al. 2019

Plant Cell

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Stalk lodging, which is generally determined by stalk strength, results in considerable yield loss and has become a primary threat to maize (Zea mays) yield under high-density planting. However, the molecular genetic basis of maize stalk strength remains unclear, and improvement methods remain inefficient. Here, we combined map-based cloning and association mapping and identified the gene stiff1 underlying a major quantitative trait locus for stalk strength in maize. A 27.2-kb transposable element insertion was present in the promoter of the stiff1 gene, which encodes an F-box domain protein. This transposable element insertion repressed the transcription of stiff1, leading to the increased cellulose and lignin contents in the cell wall and consequently greater stalk strength. Furthermore, a precisely edited allele of stiff1 generated through the CRISPR/Cas9 system resulted in plants with a stronger stalk than the unedited control. Nucleotide diversity analysis revealed that the promoter of stiff1 was under strong selection in the maize stiff-stalk group. Our cloning of stiff1 reveals a case in which a transposable element played an important role in maize improvement. The identification of stiff1 and our edited stiff1 allele pave the way for efficient improvement of maize stalk strength.

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“…Though the wind tunnel experiments are useful in intuitively determining the stalk lodging resistance in corn, it has a drawback in that it is unsuitable for on-site quantitative studies [18]. Other laboratory measurements of stalk lodging resistance include hydraulic machinery, such as stalk crushing strength (SCS) and rind penetrometer resistance (RPR), which provides mechanical characteristics of corn stalks [19][20][21][22]. For rapid corn stalk lodging resistance measurements, a stalk hardness meter was developed, and it showed that the stalk strength decreased with planting density increase for the same corn varieties [23,24].…”

Section: Introductionmentioning

confidence: 99%

Classification of Corn Stalk Lodging Resistance Using Equivalent Forces Combined with SVD Algorithm

Guo

Chen

et al. 2019

Applied Sciences

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Corn stalk lodging, which involves the breakage of the stalk below the ear following either bad weather, insect infestation or stormy rain, usually leads to harvest loss, increased harvesting time and higher drying costs. The objective of this study was to develop a method that can classify corn stalk lodging resistance. This method, which employed the maximum equivalent force exerted on a corn stalk, corresponding stalk agronomic traits, and the singular value decomposition (SVD) algorithm, showed that the five corn varieties with different stalk lodging resistance from two planting densities of 60,000 plants/ha and 75,000 plants/ha can be effectively classified. A customized device was designed to measure the equivalent forces. Three factors, including the planting density, the stalk diameter, and the maximum equivalent force with comprehensive contributions of −0.4603, 0.4196 and 0.4068, which are related to principal components, play an important role in the classification of corn stalk lodging resistance. The results showed that the corn stalk lodging resistance decreased with increase in planting density; however, with the increase in stalk diameter and maximum equivalent force, the lodging resistance significantly increased. Corn breeders can develop higher lodging resistance-based corn varieties by using this approach.

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Genetic architecture of rind penetrometer resistance in two maize recombinant inbred line populations

Cited by 47 publications

References 54 publications

Genetic dissection of maize seedling root system architecture traits using an ultra‐high density bin‐map and a recombinant inbred line population

Genetic dissection of maize seedling root system architecture traits using an ultra‐high density bin‐map and a recombinant inbred line population

A Large Transposon Insertion in the stiff1 Promoter Increases Stalk Strength in Maize

Classification of Corn Stalk Lodging Resistance Using Equivalent Forces Combined with SVD Algorithm

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