Genetic characterization of inbred lines from Shaan A and B groups for identifying loci associated with maize grain yield

Li, Ting; Qu, Jianzhou; Wang, Yahui; Chang, Liguo; He, Kai; Guo, Dongwei; Zhang, Xinghua; Xu, Shutu; Xue, Jiquan

doi:10.1186/s12863-018-0669-9

Cited by 18 publications

(12 citation statements)

References 69 publications

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“…The superior varieties were the basic materials used to adapt maize production in Shaanxi Province. [32]. Thirty-one maize inbred lines containing four elite inbred lines (PH6WC, PH4CV, Zheng58, and Chang7-2) as controls and other inbred lines selected from the Shaan A and Shaan B heterotic groups that were cultivated at Northwest A&F University were used to assess LN tolerance.…”

Section: Plant Materials and Field Experimentsmentioning

confidence: 99%

Evaluation of Yield-Based Low Nitrogen Tolerance Indices for Screening Maize (Zea mays L.) Inbred Lines

Zhao

Feng

et al. 2019

Agronomy

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To screen the desired criterion to identify desirable genotypes and select genotypes best suited to limited nitrogen availability in order to facilitate the practice of low-nitrogen-tolerant breeding in maize, the response of 31 maize inbred lines, containing four control inbred lines (PH6WC, PH4CV, Zheng58, and Chang7-2) and others selected from the Shaan A and Shaan B heterotic groups cultivated at Northwest A&F University (Yangling, Shaanxi, China), were evaluated. The experiment was conducted following a split plot design with two replications during three growing seasons (2015, 2016, and 2017) under both high nitrogen (HN) and low nitrogen (LN) conditions at the Yulin and Yangling in Shaanxi Province, China. Seven screening indices, based on grain yield under two contrasting nitrogen (N) conditions, the stress susceptibility index (SSI), yield stability index (YSI), mean productivity (MP), geometric mean productivity (GMP), stress tolerance index (STI), harmonic mean (HM), and low nitrogen tolerance index (LNTI), were computed to assess the overall index that accurately screened the desirable genotypes. The results of the correlation analyses and principal component analysis showed that MP, GMP, HM and STI were correlated with grain yield significantly and positively under contrasting N conditions, and were able to accurately discriminate the desirable genotypes. Compared with the control inbred lines, many inbred lines selected from the Shaan A and Shaan B groups showed a higher LN tolerance. This shows that we can effectively improve the LN tolerance of maize inbred lines through LN screening. Based on the screening indices, the three-dimensional diagram and genotype and genotype × environment (GGE) biplots are agreed with this results, and we identified KA105, KB081, KA225, 91227, and 2013KB-47 as the desired genotypes that have the potential to be used to breed a high yield and stable hybrid.

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Section: Plant Materials and Field Experimentsmentioning

confidence: 99%

Evaluation of Yield-Based Low Nitrogen Tolerance Indices for Screening Maize (Zea mays L.) Inbred Lines

Zhao

Feng

et al. 2019

Agronomy

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“…Therefore, genetic variability related to N-utilization has been investigated in maize, wheat, rice, and spring barley [2,[33][34][35][36]. In the present study, tropical maize lines analyzed possessed high diversity for low-N tolerance compared to studies previously reported [11,37]. Thus, high LNAE inbred lines identified in this study may be an important resource for developing low-N tolerant cultivars.…”

Section: Discussionmentioning

confidence: 56%

Population structure analysis and identification of genomic regions under selection associated with low-nitrogen tolerance in tropical maize lines

et al. 2020

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Increasing low nitrogen (N) tolerance in maize is an important goal for food security and agricultural sustainability. In order to analyze the population structure of tropical maize lines and identify genomic regions associated with low-N tolerance, a set of 64 inbred lines were evaluated under low-N and optimal-N conditions. The low-N Agronomic Efficiency index (LNAE) of each line was calculated. The maize lines were genotyped using 417,112 SNPs markers. The grouping based on the LNAE values classified the lines into two phenotypic groups, the first comprised by genotypes with high LNAE (named H_LNAE group), while the second one comprised genotypes with low LNAE (named L_LNAE group). The H_LNAE and L_LNAE groups had LNAE mean values of 3,304 and 1,644, respectively. The population structure analysis revealed a weak relationship between genetic and phenotypic diversity. Pairs of lines were identified, having at the same time high LNAE and high genetic distance from each other. A set of 29 SNPs markers exhibited a significant difference in allelic frequencies (Fst > 0.2) between H_LNAE and L_LNAE groups. The Pearson's correlation between LNAE and the favorable alleles in this set of SNPs was 0.69. These SNPs could be useful for marker-assisted selection for low-N tolerance in maize breeding programs. The results of this study could help maize breeders identify accessions to be used in the development of low-N tolerant cultivars.

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“…The reason for this may be that BTL and SR have a lower heritability than EL and FL. According to the LD decay distance reported in previous research, the upstream and downstream 150 kb of the significant SNPs are regarded as associated regions ( Li et al, 2018 ). Associated regions including the same genes were considered as one associated region for each trait.…”

Section: Resultsmentioning

confidence: 99%

“…Two hundred and eight inbred lines were sampled at the 3-leaf stage and the DNA was extracted using a modified CTAB method ( Murray and Thompson, 1980 ). The genotypes were determined using tGBS technology (Dara2bio; LLC, Ames, IA, United States) ( Li et al, 2018 ). Overall, 48,432 SNPs were retained.…”

Section: Methodsmentioning

confidence: 99%

Identification of Ear Morphology Genes in Maize (Zea mays L.) Using Selective Sweeps and Association Mapping

Tian

et al. 2020

Front. Genet.

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The performance of maize hybrids largely depend on two parental inbred lines. Improving inbred lines using artificial selection is a key task in breeding programs. However, it is important to elucidate the effects of this selection on inbred lines. Altogether, 208 inbred lines from two maize heterosis groups, named Shaan A and Shaan B, were sequenced by the genotype-by-sequencing to detect genomic changes under selection pressures. In addition, we completed genome-wide association analysis in 121 inbred lines to identify candidate genes for ear morphology related traits. In a genome-wide selection scan, the inbred lines from Shaan A and Shaan B groups showed obvious population divergences and different selective signals distributed in 337 regions harboring 772 genes. Meanwhile, functional enrichment analysis showed those selected genes are mainly involved in regulating cell development. Interestingly, some ear morphology related traits showed significant differentiation between the inbred lines from the two heterosis groups. The genome-wide association analysis of ear morphology related traits showed that four associated genes were co-localized in the selected regions with high linkage disequilibrium. Our spatiotemporal pattern and gene interaction network results for the four genes further contribute to our understanding of the mechanisms behind ear and fruit length development. This study provides a novel insight into digging a candidate gene for complex traits using breeding materials. Our findings in relation to ear morphology will help accelerate future maize improvement.

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Genetic characterization of inbred lines from Shaan A and B groups for identifying loci associated with maize grain yield

Cited by 18 publications

References 69 publications

Evaluation of Yield-Based Low Nitrogen Tolerance Indices for Screening Maize (Zea mays L.) Inbred Lines

Evaluation of Yield-Based Low Nitrogen Tolerance Indices for Screening Maize (Zea mays L.) Inbred Lines

Population structure analysis and identification of genomic regions under selection associated with low-nitrogen tolerance in tropical maize lines

Identification of Ear Morphology Genes in Maize (Zea mays L.) Using Selective Sweeps and Association Mapping

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