Impact of Spontaneous Haploid Genome Doubling in Maize Breeding

Boerman, Nicholas A.; Frei, Ursula; Lübberstedt, Thomas

doi:10.3390/plants9030369

Cited by 26 publications

(23 citation statements)

References 39 publications

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“…The predictive ability of a given model can be affected by heritability, training population size, the density of the markers, and the mating design alongside with the genetic architecture of the trait (Jumpatong et al 1996). Previous studies and our own data showed that DH-production traits were complex traits controlled by many small-effect QTLs with relatively low heritability (Boerman et al 2020;Ren et al 2020). After comparing multiple GS models, our results suggested rrBLUP and GBLUP (including GBLUP-A and GBLUP-AD) only exhibited subtle differences in predicting the DH-production traits.…”

Section: Genomic Selection Models Performed Equally Well In Predictinmentioning

confidence: 51%

“…Chromosome doubling, or the haploid male fertility (HMF) and haploid female fertility (HFF), can be enhanced by chemical reagents, such as colchicine and herbicide (Saisingtong et al 1996), but these chemicals are both harmful for human health and detrimental for the environment. Thus, spontaneous haploid genome doubling has been put on center stage (Ren et al 2017;Boerman et al 2020). Recent QTL studies suggested that the HMF is likely affected by several small effect loci (Ma et al 2018;Ren et al 2020).…”

Section: Introductionmentioning

confidence: 99%

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Genomic selection to optimize doubled haploid-based hybrid breeding in maize

Cheng

Guo

et al. 2020

Preprint

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Crop improvement, as a long-term endeavor, requires continuous innovations in technique from multiple perspectives. Doubled haploid (DH) technology for pure inbred production, which shaves years off of the conventional selfing approach, has been widely used for breeding. However, the final success rate of in vivo maternal DH production is determined by four factors: haploids induction, haploids identification, chromosome doubling, and successful selfing of the fertile haploid plants to produce DH seeds. Traits in each of these steps, if they can be accurately predicted using genomic selection methods, will help adjust the DH production protocol and simplify the logistics and save costs. Here, a hybrid population (N=158) was generated based on an incomplete half diallel design using 27 elite inbred lines. These hybrids were induced to create F1-derived haploid families. The hybrid materials, as well as the 27 inbreds, the inbred-derived haploids (N=200), and the F1-derived haploids (N=5,000) were planted in the field to collect four DH-production traits, three yield-related traits, and three developmental traits. Quantitative genetics analysis suggested that in both diploids and haploid families, most of the developmental traits showed high heritability, while the DH-production and developmental traits exhibited intermediate levels of heritability. By employing different genomic selection models, our results showed that the prediction accuracy ranged from 0.52 to 0.59 for the DH-production traits, 0.50 to 0.68 for the yield-related traits, and 0.44 to 0.87 for the developmental traits. Further analysis using index selection achieved the highest prediction accuracy when considering both DH production efficiency and the agronomic trait performance. Furthermore, the long-term responses through simulation confirmed that index selection would increase the genetic gain for targeted agronomic traits while maintaining the DH production efficiency. Therefore, our study provides an optimization strategy to integrate GS technology for DH-based hybrid breeding.

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Section: Genomic Selection Models Performed Equally Well In Predictinmentioning

confidence: 51%

Section: Introductionmentioning

confidence: 99%

Genomic selection to optimize doubled haploid-based hybrid breeding in maize

Cheng

Guo

et al. 2020

Preprint

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“…Improving the chromosomal-doubling efficiency in maize haploids can unfold the full potential of DH technology, which could facilitate new selection approaches that are currently not feasible due to the lower efficiency of artificial chromosomal-doubling methods. High chromosomal-doubling efficiency can facilitate phenotypic or marker-assisted selection for simple traits and genomic selection for complex traits at the haploid stage [ 10 ]. This could reduce breeding-cycle time and increase selection intensity and efficiency.…”

Section: Discussionmentioning

confidence: 99%

“…The overall success rate (OSR) is a criterion that measures success for artificial chromosomal-doubling methods [ 7 ], and the OSR varies from 5 to 35% depending on the protocol and the chemical used [ 6 , 7 , 9 ]. Even though artificial chromosome-doubling methods are extensively practiced in the DH-production pipelines, this process demands considerable manual labor and laboratory and greenhouse facilities, besides employing toxic chemicals [ 2 , 10 ]. Hence, breeding programs are seeking alternative methods that can be operationally simpler, less expensive and not involve toxic chemicals.…”

Section: Introductionmentioning

confidence: 99%

“…The genotype dependency of spontaneous doubling has limited its widespread use in DH pipelines to date. If this limitation can be addressed, spontaneous chromosomal doubling could dramatically simplify the chromosomal-doubling step and reduce the costs significantly [ 10 ]; hence, it is pursued as an alternative to artificial chromosomal-doubling methods. Most haploid plants are infertile in their male reproductive organs, namely, tassels, but female reproductive organs, namely, ears, produce seed when pollinated with pollen from diploid plants even without being subjected to artificial chromosomal-doubling treatments [ 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

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Diallelic Analysis of Tropical Maize Germplasm Response to Spontaneous Chromosomal Doubling

Chaikam

Gowda

Martinez

et al. 2020

Plants

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Chromosome doubling is an important step in the production of maize doubled haploid (DH) lines to induce fertility in the male and female reproductive organs of haploid plants. Chromosomal doubling is routinely accomplished by treating haploid seedlings with mitosis-inhibiting chemicals. However, chromosomal doubling involves several labor-intensive steps and toxic chemicals. Spontaneous chromosomal doubling without any chemical treatments occurs at high frequency in haploids from a few maize genotypes. This study focused on elucidating the genetic components of two traits important for using spontaneous doubling in maize-breeding programs, namely, haploid male fertility (HMF) and haploid fertility (HF). In two different sets of diallel crosses, haploids were derived and assessed for HMF and HF in two environments in replicated trials. The results revealed significant genotypic variations for both traits. The general combining ability (GCA) and specific combining (SCA) were significant for both traits. Significant and positive GCA effects of up to 14% and 9% were found for HMF and HF, respectively. No significant reciprocal effects and genotype-by-environment (G×E) interactions were found for HF in both experiments, but HMF showed significant effects for both in one of the experiments. The GCA effects were more important than the SCA effects for HMF and HF across environments, implying that selection could facilitate their improvement. The high correlations between F1-hybrid performance and mid-parent values, as well as that between F1-hybrid performance and GCA effects, also supports the assumption that these traits are controlled by a few genes. SCA effects also played a role, especially when lines with low spontaneous doubling were used as parents. Overall, spontaneous doubling can be introgressed and improved in elite germplasm with selection, and it has the potential to be employed in DH pipelines.

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