Genetic dissection of husk number and length across multiple environments and fine-mapping of a major-effect QTL for husk number in maize (Zea mays L.)^☆

D.N. Duvick, Genetic progress in yield of United States maize (Zea mays L.), Maydica 50 (2005) 193–202.

Q.C. Pan, Y.C. Xu, K. Li, Y. Peng, W. Zhan, W.Q. Li, L. Li, J.B. Yan, The genetic basis of plant architecture in 10 maize recombinant inbred line populations, Plant Physiol. 175 (2017) 858–873.

D. Li, X.F. Wang, X.B. Zhang, Q.Y. Chen, G.H. Xu, D.Y. Xu, C.L. Wang, Y.M. Liang, L.S. Wu, C. Huang, J. Tian, Y.Y. Wu, F. Tian, The genetic architecture of leaf number and its genetic relationship to flowering time in maize, New Phytol. 210 (2016) 256–268.

M.F. Li, W.S. Zhong, F. Yang, Z.X. Zhang, Genetic and molecular mechanisms of quantitative trait loci controlling maize inflorescence architecture, Plant Cell Physiol. 59 (2018) 448–457.

K.R. Wang, S.K. Li, Analysis of influencing factors on kernel dehydration rate of maize hybrids, Sci. Agric. Sin. 50 (2017) 2027–2035 (in Chinese with English abstract).

G.F. Zhou, D.R. Hao, G.Q. Chen, H.H. Lu, M.L. Shi, Y.X. Mao, Z. L. Zhang, X.L. Huang, L. Xue, Genome-wide association study of husk number and weight in maize (Zea mays L.), Euphytica 210 (2016) 195–205.

L.L. Li, M.B. Ming, R.Z. Xie, K.R. Wang, P. Hou, S.K. Li, Differences of ear characters in maize and their effects on grain dehydration, Sci. Agric. Sin. 51 (2018) 1855–1867 (in Chinese with English abstract).

G.F. Zhou, D.R. Hao, L. Xue, G.Q. Chen, H.H. Lu, Z.L. Zhang, M.L. Shi, X.L. Huang, Y.X. Mao, Genome-wide association study of kernel moisture content at harvest stage in maize, Breed. Sci. 68 (2018) 622–628.

H.Z. Cross, J.R. Chyle, J.J. Hammond, Divergent selecting for ear moisture in early maize, Crop Sci. 27 (1987) 914–918.

L.L. Li, R.Z. Xie, K.R. Wang, B. Ming, P. Hu, S.K. Li, Effects of peeling husk on grain dehydration of maize, Crops 2 (2018) 114–117 (in Chinese with English abstract).

R.G. Cantell, J.L. Geadelmann, Contribution of husk leaves to maize grain yield, Crop Sci. 21 (1981) 544–546.

K. Fujita, H. Sato, O. Sawada, S. Sendo, Husk leaves contribution to dry matter and grain production as well as n distribution in flint corn (Zea mays L.) genotypes differing in husk leaf area, Soil Sci. Plant Nutr. 41 (1995) 587–596.

O. Sawada, J. Ito, K. Fujita, Characteristics of photosynthesis and translocation of ¹³C-labelled photosynthate in husk leaves of sweet corn, Crop Sci. 35 (1995) 480–485.

J.J. Pengelly, S. Kwasny, S. Bala, J.R. Evans, E.V. Voznesenskaya, N.K. Koteyeva, G.E. Edwards, R.T. Furbank, S. von Caemmerer, Funcational analysis of corn husk photosynthesis, Plant Physiol. 156 (2011) 503–513.

N.W. Widstrom, A. Butron, B.Z. Guo, D.M. Wilson, M.E. Snook, T.E. Cleveland, R.E. Lynch, Control of preharvest aflatoxin contamination in maize by pyramiding QTL involved in resistance to ear-feeding insects and invasion by Aspergillus spp, Eur. J. Agron. 19 (2003) 563–572.

S. Quatter, R. Jones, K. Crookston, Effect of water deficit during grain filling on the pattern of maize kernel growth and development, Crop Sci. 27 (1987) 726–730.

C.Y. Li, H.W. Kim, S.R. Won, H.K. Min, K.J. Park, J.Y. Park, M.S. Ahn, H.I. Rhee, Corn husk as a potential source of anthocyanins, J. Agric. Food Chem. 56 (2008) 11413–11416.

D.O. Ekhuemelo, K. Tor, Assessment of fibre characteristics and suitability of maize husk and stalk for pulp and paper production, J. Res. For. Wildlife Environ. 5 (2013) 41–49.

Z.H. Cui, J.H. Luo, C.Y. Qi, Y.Y. Ruan, J. Li, A. Zhang, X.H. Yang, Y. He, Genome-wide association study (GWAS) reveals the genetic architecture of four husk traits in maize, BMC Genomics 17 (2016) 946.

Z.H. Cui, A.A. Xia, B. Zhang, J.H. Luo, X.H. Yang, L.J. Zhang, Y.Y. Ruan, Y. He, Linkage mapping combined with association analysis reveals QTL and candidate genes for three husk traits in maize, Theor. Appl. Genet. 131 (2018) 2131–2144.

P. Wang, S. Kelly, J.P. Fouracre, J.A. Langdale, Genome-wide transcript analysis of early maize leaf development reveals gene cohorts associated with differentiation of C₄ Kranz anatomy, Plant J. 75 (2013) 656–670.

Y. Xu, P.C. Li, Z.F. Yang, C.W. Xu, Genetic mapping of quantitative trait loci in crops, Crop J. 5 (2017) 175–184.

T. Kelliher, D. Starr, L. Richbourg, S. Chitamanani, B. Delzer, M.L. Nuccio, J. Green, Z.Y. Chen, J. McCuiston, W.L. Wang, T. Liebler, P. Bullock, B. Martin, MATRILINEAL, a sperm-spcific phospholipase, triggers maize haploid induction, Nature 542 (2017) 105–109.

Q. Yang, Y.J. He, M. Labahuma, T. Chaya, A. Kelly, E. Borrego, Y. Bian, F. Kasmil, L. Yang, P. Texieira, J. Kolkman, R. Nelson, M. Kolomiets, J.L. Dangl, R. Wisser, J. Caplan, X. Li, N. Lauter, P. Balint-Kurti, A gene encoding maize caffeoyl-CoA O-methyltransferase confers quantitative resistance to multiple pathogens, Nature Genet. 49 (2017) 1364–1372.

J.E. Tan, C.L. Wang, J.L. Xia, L.S. Wu, G.X. Xu, W.H. Wu, D. Li, W.C. Qin, X. Han, Q.Y. Chen, W.W. Jin, F. Tian, Teosinte ligule allele narrows plant architecture and enhances high-density maize yields, Science 365 (2019) 658–664.

H. van Os, S. Andrzejewski, E. Bakker, I. Barrena, G.J. Bryan, B. Caromel, B. Ghareeb, E. Isidore, W. de Jong, P. van Koert, V. Lefebvre, D. Milbourne, E. Ritter, J.N. van der Voort, F. Rousselle-Bourgeois, J. van Vliet, R. Waugh, R.G. Visser, J. Bakker, H.J. van Eck, Construction of a 10,000-marker ultradense genetic recombination map of potato: providing a framework for accelerated gene isolation and a genomewide physical map, Genetics 173 (2006) 1075–1087.

M. Gowda, Y. Beyene, D. Makumbi, K. Semagn, M.S. Olsen, J.M. Bright, B. Das, S. Mugo, L.M. Suresh, B.M. Prasanna, Discovery and validation of genomic regions associated with resistance to maize lethal necrosis in four biparental population, Mol. Breed. 38 (2018) 66.

M.S. Raihan, J. Liu, J. Huang, H. Guo, Q.C. Pan, J.B. Yan, Multi-environment QTL analysis of grain morphology traits and fine mapping of a kernel-width QTL in Zheng58 × SK maize population, Theor. Appl. Genet. 129 (2016) 1465–1477.

T.T. Wang, M. Wang, S.T. Hu, Y.N. Xiao, H. Tong, Q.C. Pan, J.Q. Xue, J.B. Yan, J.S. Li, X.H. Yang, Genetic basis of maize kernel starch content revealved by high-density single nucleotide polymorphism markers in a recombinant inbred line population, BMC Plant Biol. 15 (2015) 288.

J. Wang, X. Zhang, Z.W. Lin, QTL mapping in a maize F₂ population using genotyping-by-sequencing and a modified fine-mapping strategy, Plant Sci. 276 (2018) 171–180.

Z.Q. Zhou, C.S. Zhang, Y. Zhou, Z.F. Hao, Z.H. Wang, X. Zeng, H. Di, M.S. Li, D.G. Zhang, H.J. Yong, S.H. Zhang, J.F. Weng, X.H. Li, Genetic dissection of maize plant architecture with an ultra-high density bin map based on recombinant inbred lines, BMC Genomics 17 (2016) 178.

P.C. Li, Y.Y. Zhang, S.Y. Yin, P.F. Zhu, T. Pan, Y. Xu, J.Y. Wang, D.R. Hao, H.M. Fang, C.W. Xu, Z.F. Yang, QTL-by-environment interaction in the response of maize root and shoot traits todiffernet water regimes, Front. Plant Sci. 9 (2018) 229.

L. Meng, H.H. Li, L.Y. Zhang, J.K. Wang, QTL IciMapping: integrated software for henetic linkage map construction and quantitative trait locus mapping in biparental populations, Crop J. 3 (2015) 269–283.

Y. Liu, L.W. Wang, C.L. Sun, Z.X. Zhang, Y.L. Zheng, F.Z. Qiu, Genetic analysis and major QTL detection for maize kernel size and weight in multi-environments, Theor. Appl. Genet. 127 (2014) 1019–1037.

A. Charcosset, A. Gallais, Estimation of the contribution of quantitative trait loci (QTL) to the variance of a quantitative trait by means of genetic markers, Theor. Appl. Genet. 93 (1996) 1193–1201.

M. Malosetti, J.M. Ribaut, M. Vargas, J. Crossa, F.A. Eeuwijk, A multi-trait multi-environment QTL mixed model with an application to drought and nitrogen stress trails in maize, Euphytica 161 (2008) 241–257.

R. Messmer, Y. Fracheboud, M. Banziger, M. Vargas, P. Stamp, J.M. Ribaut, Drought stress and tropical maize: QTL by-environment interactions and stability of QTLs across environments for yield components and secondary traits, Theor. Appl. Genet. 119 (2009) 913–930.

A.E. Melchinger, H.F. Utz, C.C. Schon, Quantitative trait locus (QTL) mapping using different testers and independent population samples in maize reveals low power of QTL detection and large bias in estimates of QTL effects, Genetics 149 (1998) 383–403.

W.B. Song, B.B. Wang, A.L. Hauck, X.M. Dong, J.P. Li, J.S. Lai, Genetic dissection of maize seeding root system architecture traits using an ultra-high density bin-map and a recombinant inbred line population, J. Integr. Plant Biol. 58 (2016) 266–279.

W. Bateson, The progress of genetics since the rediscovery of Mendel's paper, Rrogressus Rei Botanicae 1 (1906) 368.

L.N. Lukens, J. Doebley, Epistatic and environmental interactions for quantitative trait loci involved in maize evolution, Genet. Res. 74 (1999) 291–302.

X.Q. Ma, J.H. Tang, W.T. Weng, J.B. Yan, Y.J. Meng, J.S. Li, Epistatic interaction is an important genetic basis of grain yield and its components in maize, Mol. Breed. 20 (2007) 41–51.

W. Bai, H. Zhang, Z. Zhang, F. Teng, L. Wang, Y. Tao, Y. Zheng, The evidence for non-additive effect as the main genetic component of plant height and ear height in maize using introgression line populations, Plant Breed. 129 (2010) 376–384.

S.T. Xu, D.L. Zhang, Y. Cai, Y. Zhou, S. Trushar, A. Farhan, Q. Li, Z.G. Li, W.D. Wang, J.S. Li, X.H. Yang, J.B. Yan, Dissecting tocopherols content in maize (Zea mays L.), using two segregating populations and high-density single nucleotide polymorphism markers, BMC Plant Biol. 12 (2012) 201.

K. Li, J.B. Yan, J.S. Li, X.H. Yang, Genetic architecture of rind penetrometerresistance in two maize recombinant inbred line populations, BMC Plant Biol. 14 (2014) 152.

S. Ciftci-Yilmaz, R. Mittler, The zinc finger network of plants, Cell. Mol. Life Sci. 65 (2008) 1150–1160.

T. Lyu, J. Cao, Cys₂/His₂ zinc-finger proteins in transcriptional regulation of flower development, Int. J. Mol. Sci. 19 (2018) 9.

M. Aida, T. Ishida, M. Tasaka, Shoot apical meristem and cotyledon formation during Arabidopsis embryogenesis: interaction among the CUP-SHAPED COTYLEDON and SHOOT MERISTEMLESS genes, Development 126 (1999) 1563–1570.

E. Souer, A. van Houwelingen, D. Kloos, The No Apical Meristem gene of petunia is required for pattern formation in embryos and flowers and its expressed at meristem and primordia boundaries, Cell 85 (1996) 159–170.

J. Li, G.H. Guo, W.W. Guo, D. Tong, Z.F. Ni, Q.X. Sun, Y.Y. Yao, miRNA164-directed cleavage of ZmNAC1 confers lateral root development in maize (Zea mays L.), BMC Plant Biol. 12 (2012) 220.

W.W. Qi, Y. Yang, X.Z. Feng, M.L. Zhang, R.S. Tao, Mitochondrial function and maize kernel development requires Dek2, a pentatricopeptide pepeat protein involved in nad1 mRNA splicing, Genetics 205 (2017) 239–249.

X.J. Li, W. Gu, S.L. Sun, Z.L. Chen, J. Chen, W.B. Song, H.M. Zhao, J.S. Lai, Defective Kernel 39 encodes a PPR protein required for seed development in maize, J. Integr. Plant Biol. 60 (2018) 45–64.

L. Chen, Y.X. Li, C.H. Li, Y.S. Shi, Y.C. Song, D.F. Zhang, Y. Li, T.Y. Wang, Genome-wide analysis of the pentatricopeptide repeat gene family in different maize genomes and its important role in kernel development, BMC Plant Biol. 18 (2018) 366.

M. Zhang, Y.H. Wang, X. Liu, J. Sun, Y.L. Wang, Y. Xu, Jia L. W.H. Long, X.P. Zhu, X.P. Guo, L. Jiang, C.M. Wang, J.M. Wan, The RICE MINUTE-LIKE1 (RML1) gene, encoding a ribosomal large subunit protein L3B, regulates leaf morphology and plant architecture in rice, J. Exp. Bot. 67 (2016) 3457–3469.

V. Pinon, J.P. Etchells, P. Rossignol, S.A. Collier, J.M. Arroyo, R.A. Martienssen, M.E. Byrne, Three PIGGYBACK genes that specifically influence leaf patterning encode ribosomal proteins, Development 135 (2008) 1315–1324.

Y. Yao, Q. Ling, H. Wang, H. Huang, Ribosomal proteins promote leaf adaxial identity, Development 135 (2008) 1325–1334.

K. Kojima, J.Y. Tamura, H. Chiba, K. Fukada, H. Tsukaya, G. Horiguchi, Two nucleolar proteins, GDP1 and OLI2, function as ribosome biogenesis factors and are preferentially involved in promotion of leaf cell proliferation without strongly affecting leaf Adaxial–Abaxial patterning in Arabidopsis thaliana, Front. Plant Sci. 8 (2018) 2240.

B.C. Collard, D.J. Mackill, Marker-assisted selection: an approach for precision plant breeding in the twenty-first century, Phil. Trans. R. Soc. B-Biol. Sci. 363 (2008) 557–572.

L. Liu, Y.F. Du, X.M. Shen, M.F. Li, W. Sun, J. Huang, Z.J. Liu, Y.S. Tao, Y.L. Zheng, J.B. Yan, Z.X. Zhang, KRN4 controls quantitative variation in maize kernel row number, PLoS Genet. 11 (2015) e1005670.

K. Sarika, F. Hossain, V. Muthusamy, R.U. Zunjare, A. Baceja, R. Goswami, J.S. Bhat, S. Saha, H.S. Gupta, Marker-assisted pyramiding of opaque2 and novel opaque16 genes for further enrichment of lysine and tryptophan in sub-tropical maize, Plant Sci. 272 (2018) 142–152.