Mapping of maternal QTLs for in vivo haploid induction rate in maize (Zea mays L.)

Wu, Penghao; Li, Haochuan; Ren, Jiaojiao; Chen, Shaojiang

doi:10.1007/s10681-013-1043-7

Cited by 38 publications

(35 citation statements)

References 30 publications

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“…Wu et al . () identified two QTL on chromosome 1 ( qmhir1 ) and chromosome 3 ( qmhir2 ), which highly affect haploid induction from the maternal side, explaining 14.7% and 8.4% of the genetic variation, respectively.…”

Section: Haploidization Via Chromosome Eliminationmentioning

confidence: 99%

Novel technologies in doubled haploid line development

Ren

Trampe

et al. 2017

Plant Biotechnology Journal

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111

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Summaryhaploid inducer line can be transferred (DH) technology can not only shorten the breeding process but also increase genetic gain. Haploid induction and subsequent genome doubling are the two main steps required for DH technology. Haploids have been generated through the culture of immature male and female gametophytes, and through inter‐ and intraspecific via chromosome elimination. Here, we focus on haploidization via chromosome elimination, especially the recent advances in centromere‐mediated haploidization. Once haploids have been induced, genome doubling is needed to produce DH lines. This study has proposed a new strategy to improve haploid genome doubling by combing haploids and minichromosome technology. With the progress in haploid induction and genome doubling methods, DH technology can facilitate reverse breeding, cytoplasmic male sterile (CMS) line production, gene stacking and a variety of other genetic analysis.

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Section: Haploidization Via Chromosome Eliminationmentioning

confidence: 99%

Novel technologies in doubled haploid line development

Ren

Trampe

et al. 2017

Plant Biotechnology Journal

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111

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“…During artificial genome doubling, chemicals such as colchicine, trifluralin and pronamide are used. Unfortunately, these chemicals are harmful to atmosphere, soil and human health due to their high toxicities (Wu, Li, Ren, & Chen, ; Wu, Ren, Li, & Chen, ). In addition, artificial genome doubling is a complex process.…”

Section: Introductionmentioning

confidence: 99%

Genetic dissection of haploid male fertility in maize (Zea mays L.)

Yang

Chen

et al. 2019

Plant Breeding

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Haploid genome doubling is a key limiting step of haploid breeding in maize. Spontaneous restoration of haploid male fertility (HMF) provides a more promising method than the artificial doubling process. To reveal the genetic basis of HMF, haploids were obtained from the offspring of 285 F2:3 families, derived from the cross Zheng58 × K22. The F2:3 families were used as the female donor and Yu high inducer No. 1 (YHI‐1) as the male inducer line. The rates of HMF from each family line were evaluated at two field sites over two planting seasons. HMF displayed incomplete dominance. Transgressive segregation of haploids from F2:3 families was observed relative to haploids derived from the two parents of the mapping population. A total of nine quantitative trait loci (QTL) were detected, which were distributed on chromosomes 1, 3, 4, 7 and 8. Three major QTL, qHMF3b, qHMF7a and qHMF7b were detected in both locations, respectively. These QTL could be useful to predict the ability of spontaneous haploid genome doubling, and to accelerate the haploid breeding process by introgression or aggregation of those QTL.

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“…The haploid induction rate  is mainly a property of the inducer but may also vary among source germplasm (Penghao et al, 2014). In all induction crosses in Experiment 2A, the ratio exceeded 1.80, which was considered as minimum for reliable discrimination of PH and PC seeds .…”

Section: Misclassification Rates and Their Importance In Sorting Of Hmentioning

confidence: 96%

Controlling Misclassification Rates in Identification of Haploid Seeds from Induction Crosses in Maize with High‐Oil Inducers

Melchinger

Winter

et al. 2015

Crop Science

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In vivo production of double haploid (DH) lines in maize (Zea mays L.) requires reliable identification of haploid (H) seeds. A new method for achieving this goal is production of induction crosses with high‐oil (HO) inducers and sorting the resulting H and diploid crossing (C) seeds based on their oil content (OC). Balancing the false discovery rate (FDR) and false negative rate (FNR) by choice of a suitable proportion α of selected seeds represents an unsolved problem with this method. We investigated solutions by applying mixture distribution (MD) analysis to the OC of induction crosses for estimating the means and standard deviation (μH, μC, and σ) of H and C seeds and the haploid induction rate κ. Moreover, we developed formulas and software for calculating the FDR and FNR from these estimates. Using several induction crosses with HO inducer UH600, parameter estimates from (i) MD analysis in different environments and (ii) gold standard classification (GSC) of plants in the field agreed well for μH and μC, but only moderately for σ and κ. Parameter estimates from the MD provided meaningful guidelines for calculating the expected FDR and FNR. Selecting the α = 7.5% proportion of seeds with lowest OC was optimal for most induction crosses and balanced the FDR and FNR. In conclusion, induction crosses with HO inducers hold great promise for promoting the DH technology in maize, but an automated high‐throughput platform for sorting the seeds from the MD into several distinct classes with increasing OC is recommended to take full advantage of this novel approach.

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Mapping of maternal QTLs for in vivo haploid induction rate in maize (Zea mays L.)

Cited by 38 publications

References 30 publications

Novel technologies in doubled haploid line development

Novel technologies in doubled haploid line development

Genetic dissection of haploid male fertility in maize (Zea mays L.)

Controlling Misclassification Rates in Identification of Haploid Seeds from Induction Crosses in Maize with High‐Oil Inducers

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