Identification of quantitative trait loci for kernel-related traits and the heterosis for these traits in maize (Zea mays L.)

QTL mapping and genetic analysis for maize kernel size and weight in multi-environments

(2018) Tianru Lan et al.   EUPHYTICA

Fine mapping and candidate gene prediction of a major QTL for kernel number per ear in maize

(2018) Jingjing Zhan et al.   MOLECULAR BREEDING

Heterotic loci identified for maize kernel traits in two chromosome segment substitution line test populations

(2018) Yafei Wang et al.   Scientific Reports

Genetic Diversity and Genome-Wide Association Study of Major Ear Quantitative Traits Using High-Density SNPs in Maize

(2018) Xiao-Mei Zhu et al.   Frontiers in Plant Science

Verification and fine mapping of qGW1.05, a major QTL for grain weight in maize (Zea mays L.)

(2017) Qiang Zhou et al.   MOLECULAR GENETICS AND GENOMICS

Analysis of the genetic architecture of maize ear and grain morphological traits by combined linkage and association mapping

(2017) Chaoshu Zhang et al.   THEORETICAL AND APPLIED GENETICS

QTL for Maize Midparent Heterosis in the Heterotic Pattern American Dent × European Flint under Corn Borer Pressure

(2017) Luis F. Samayoa et al.   Frontiers in Plant Science

Candidate Loci for Yield-Related Traits in Maize Revealed by a Combination of MetaQTL Analysis and Regional Association Mapping

(2017) Lin Chen et al.   Frontiers in Plant Science

Fine-mapping of qGW4.05, a major QTL for kernel weight and size in maize

(2016) Lin Chen et al.   BMC PLANT BIOLOGY

Fine mapping of qKW7, a major QTL for kernel weight and kernel width in maize, confirmed by the combined analytic approaches of linkage and association analysis

(2016) Xin Li et al.   EUPHYTICA

Genetic analysis of heterosis for maize grain yield and its components in a set of SSSL testcross populations

(2016) Xiaoyi Wei et al.   EUPHYTICA

Identification of QTL for maize grain yield and kernel-related traits

(2016) CONG YANG et al.   JOURNAL OF GENETICS

Fine mapping of qKL1.07, a major QTL for kernel length in maize

(2016) Weiwei Qin et al.   MOLECULAR BREEDING

Identification of heterotic loci associated with grain yield and its components using two CSSL test populations in maize

(2016) Hongqiu Wang et al.   Scientific Reports

The Genetic Basis of Natural Variation in Kernel Size and Related Traits Using a Four-Way Cross Population in Maize

(2016) Jiafa Chen et al.   PLoS One

Fitting Linear Mixed-Effects Models Usinglme4

(2015) Douglas Bates et al.   Journal of Statistical Software

Genetic dissection of the maize kernel development process via conditional QTL mapping for three developing kernel-related traits in an immortalized F2 population

(2015) Zhanhui Zhang et al.   MOLECULAR GENETICS AND GENOMICS

QTL Analysis of Kernel-Related Traits in Maize Using an Immortalized F2 Population

(2014) Zhanhui Zhang et al.   PLoS One

Genetic analysis and major QTL detection for maize kernel size and weight in multi-environments

(2014) Ying Liu et al.   THEORETICAL AND APPLIED GENETICS

Genetic basis of grain yield heterosis in an “immortalized F2” maize population

(2014) Tingting Guo et al.   THEORETICAL AND APPLIED GENETICS

MapDisto: fast and efficient computation of genetic linkage maps

(2012) Mathias Lorieux   MOLECULAR BREEDING

The Genetic Basis of Heterosis: Multiparental Quantitative Trait Loci Mapping Reveals Contrasted Levels of Apparent Overdominance Among Traits of Agronomical Interest in Maize ( Zea mays L.)

(2011) A. Larièpe et al.   GENETICS

Relationship, evolutionary fate and function of two maize co-orthologs of rice GW2 associated with kernel size and weight

(2010) Qing Li et al.   BMC PLANT BIOLOGY

Heterosis Is Prevalent for Multiple Traits in Diverse Maize Germplasm

(2009) Sherry A. Flint-Garcia et al.   PLoS One

QTLNetwork: mapping and visualizing genetic architecture of complex traits in experimental populations

(2008) J. Yang et al.   BIOINFORMATICS

Quantitative Trait Loci Mapping and The Genetic Basis of Heterosis in Maize and Rice

(2008) Antonio Augusto Franco Garcia et al.   GENETICS