Quantitative trait loci mapping in hybrids between Dent and Flint maize multiparental populations reveals group-specific QTL for silage quality traits with variable pleiotropic effects on yield

Seye, A. I.; Bauland, Cyril; Giraud, Héloïse; Méchin, Valérie; Reymond, Matthieu; Charcosset, Alain; Moreau, Laurence

doi:10.1007/s00122-019-03296-2

Cited by 12 publications

(7 citation statements)

References 61 publications

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“…For ADF, once again, progeny 159.6 presented a favorable GCA value, whereas topcross 159.6 x AG8025 had one for SCA (Figure 5). Therefore, progeny 159.6 has the potential of reducing fibrous portions and of increasing digestibility percentage in future crossings, which is an important result due to the difficulty of obtaining genotypes that favor the reduction of the fiber contents (Pirondini et al, 2015;Seye et al, 2019), which evidences a higher concentration of genes that allow reducing NDF and ADF contents. With regard to DMD, progeny 199.2 presented positive GCA estimates, as well as of SCA in crossbreedings with the elite test lineages.…”

Section: Resultsmentioning

confidence: 99%

“…In corn breeding programs, there is still not a consensus on how to select the best tester to discriminate the genetic potential of progenies (Lobato-Ortiz et al, 2010). Many authors concluded that the choice of the best tester should be based on genetic merit, with a high frequency of favorable alleles, as well as on genetic factors related to additive and nonadditive actions (Lobato-Ortiz et al, 2010;Pirondini et al, 2015;Seye et al, 2019). However, Hallauer et al (2010) emphasized that the best tester is the one that simply classifies correctly the genetic merit of progenies based on estimates of genetic variance components, disregarding other information.…”

Section: Introductionmentioning

confidence: 99%

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Forage potential of S3 corn progenies in topcrosses and selection of testers of different genetic bases

Rosa

Faria

Zaluski

et al. 2020

Pesq. agropec. bras.

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The objective of this work was to identify corn (Zea mays) genotypes with forage potential and to evaluate the efficiency of testers to discriminate forage traits in topcrosses, considering the contribution of additive and nonadditive genes. The experiment was carried out in the 2015/2016 and 2016/2017 crop seasons, in a randomized complete block design with three replicates. Thirty S3 corn progenies were evaluated in topcrosses with the AG8025, P30B39, MLP102, 60.H23.1, and 70.H26.1 testers. The following traits were assessed: forage dry mass yield, neutral detergent fiber, acid detergent fiber, and forage dry mass degradability. Progenies 205.2, 159.6, and 199.2, in this order, presented the best performance for forage potential. Testers 60.H23.1 and 70.H26.1 better expressed the genetic variability between progenies. For all traits in both crop seasons, there is a predominance of the action of genes of nonadditive effects.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Forage potential of S3 corn progenies in topcrosses and selection of testers of different genetic bases

Rosa

Faria

Zaluski

et al. 2020

Pesq. agropec. bras.

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“…An advantage to focusing on the Stiff Stalk group is that maize breeding relies on recycling genetics within heterotic groups to make new parents and crossing parents between groups to make hybrids. In a factorial mating design between Flint and Dent multiparent populations, it was discovered that the majority of general combining ability QTL were specific to one heterotic group (Giraud et al 2017; Seye et al 2019). Thus, blending the genomes of parents within a single heterotic group versus across the diversity of maize creates a more applicable population to study the subset of alleles present within Stiff Stalk seed parent germplasm released in North America.…”

Section: Discussionmentioning

confidence: 99%

Genetic mapping of flowering time and plant height in a maize Stiff Stalk MAGIC population

Michel

Lima

Hundley

et al. 2022

Preprint

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The Stiff Stalk heterotic pool is a foundation of US maize seed parent germplasm and has been heavily utilized by both public and private maize breeders since its inception in the 1930’s. Flowering time and plant height are critical characteristics for both inbred parents and their test crossed hybrid progeny. To study these traits, a six parent multiparent advanced generation intercross (MAGIC) population was developed including maize inbred lines B73, B84, PHB47 (B37 type), LH145 (B14 type), PHJ40 (novel early Stiff Stalk), and NKH8431 (B73/B14 type). A set of 779 doubled haploid lines were evaluated for flowering time and plant height in two field replicates in 2016 and 2017, and a subset of 689 and 561 doubled haploid lines were crossed to two testers, respectively, and evaluated as hybrids in two locations in 2018 and 2019 using an incomplete block design. Markers were derived from a Practical Haplotype Graph built from the founder whole genome assemblies and genotype-by-sequencing and exome capture-based sequencing of the population. Genetic mapping utilizing an update to R/qtl2 revealed differing profiles of significant loci for both traits between 636 of the DH lines and two sets of 571 and 472 derived hybrids. Genomic prediction was used to test the feasibility of predicting hybrid phenotypes based on the per se data. Predictive abilities were highest on direct models trained using the data they would predict (0.55 to 0.63), and indirect models trained using per se data to predict hybrid traits had slightly lower predictive abilities (0.49 to 0.55). Overall, this finding is consistent with the overlapping and non-overlapping significant QTL found within the per se and hybrid populations and suggests that selections for phenology traits can be made effectively on doubled haploid lines before hybrid data is available.Core IdeasA multi-parent advanced generation intercross (MAGIC) mapping population was developed from six founder Stiff Stalk maize inbreds with commercial relevance. Genetic mapping utilizing an update to R/qtl2 was demonstrated for flowering and plant height traits.Genetic mapping using maize inbred and hybrid information was compared and provided insight into trait expression in inbreds relative to heterotic testcross hybrids.

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“…Near-infrared spectroscopy (NIRS) is highly efficient and has been applied for high-throughput screening to predict the properties and compositions of large numbers of samples [ 14 ], especially for phenotyping and genomic selection in crop breeding [ 15 , 16 ]. It has been used for quality trait (such as juice soluble solids content, i.e., Brix, juice pH, firmness and water content) phenotyping in tomatoes [ 17 ]; estimation of sucrose, glucose, and fructose in sweet sorghum juice [ 18 ]; phenotyping of malt extract and protein content in barley [ 19 ]; assessment of amino acid concentrations for quantitative trait locus (QTL) analysis in soybean [ 20 ]; quantitative monitoring of sucrose, reducing sugars and total sugar dynamics for phenotyping of water-deficit stress tolerance in rice [ 21 ]; prediction of silage quality traits for QTL mapping in maize [ 22 ]; and herbage quality trait analysis [ 23 ]. In addition, NIRS has also been used to determine chemical compounds in sugarcane, which is used for analysis of phosphorus in leaves [ 24 ], estimation of mineral content under saline conditions [ 25 ], and estimation of cell wall components in stalks [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

A systematic high-throughput phenotyping assay for sugarcane stalk quality characterization by near-infrared spectroscopy

Wang

Shen

et al. 2021

Plant Methods

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Background Sugarcane (Saccharum officinarum L.) is an economically important crop with stalks as the harvest organs. Improvement in stalk quality is deemed a promising strategy for enhancing sugarcane production. However, the lack of efficient approaches for systematic evaluation of sugarcane germplasm largely limits improvements in stalk quality. This study is designed to develop a systematic near-infrared spectroscopy (NIRS) assay for high-throughput phenotyping of sugarcane stalk quality, thereby providing a feasible solution for precise evaluation of sugarcane germplasm. Results A total of 628 sugarcane accessions harvested at different growth stages before and after maturity were employed to take a high-throughput assay to determine sugarcane stalk quality. Based on high-performance anion chromatography (HPAEC-PAD), large variations in sugarcane stalk quality were detected in terms of biomass composition and the corresponding fundamental ratios. Online and offline NIRS modeling strategies were applied for multiple purpose calibration with partial least square (PLS) regression analysis. Consequently, 25 equations were generated with excellent determination coefficients (R2) and ratio performance deviation (RPD) values. Notably, for some observations, RPD values as high as 6.3 were observed, which indicated their exceptional performance and predictive capability. Conclusions This study provides a feasible method for consistent and high-throughput assessment of stalk quality in terms of moisture, soluble sugar, insoluble residue and the corresponding fundamental ratios. The proposed method permits large-scale screening of optimal sugarcane germplasm for sugarcane stalk quality breeding and beyond.

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Quantitative trait loci mapping in hybrids between Dent and Flint maize multiparental populations reveals group-specific QTL for silage quality traits with variable pleiotropic effects on yield

Cited by 12 publications

References 61 publications

Forage potential of S3 corn progenies in topcrosses and selection of testers of different genetic bases

Forage potential of S3 corn progenies in topcrosses and selection of testers of different genetic bases

Genetic mapping of flowering time and plant height in a maize Stiff Stalk MAGIC population

A systematic high-throughput phenotyping assay for sugarcane stalk quality characterization by near-infrared spectroscopy

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