Results 261 to 270 of about 157,946 (333)

Integrated GWAS and Fst analysis identify flowering‐time regulatory genes in maize

The Plant Genome, Volume 19, Issue 1, March 2026.
Abstract Flowering time in maize is a complex quantitative trait regulated by multiple genes, and its genetic variation mechanisms remain to be fully elucidated. In this study, we phenotypically evaluated flowering‐related traits (days to tasseling, days to pollen shedding, days to silking) across six different environments using an association ...
Dong Wang, Zhuoya Gao, Mengyue Dong, Tuan Li, Wenjing Zhou, Jialei Ou, Shiya Zhang, Shuaishuai Zhang, Xian Dong, Yalan Li, Caihui Zhang, Jiahao Tie, Yinuo Wang, Gaoyang Sun, Huiling Xie, Weihua Li, Jihua Tang, Pengshuai Yan   +17 more
wiley   +1 more source

Genetic architecture and genomic prediction of vase life in carnation. [PDF]

Front Plant Sci
Tavera HH, Losert D, Boxriker M, Boehm R, Zenke-Philippi C.   +4 more
europepmc   +1 more source

A Guide to QTL Mapping with R/qtl [PDF]

Qing Zhou
core   +1 more source

Genome‐wide association and haplotype analyses reveal genetic architecture of seed dormancy in grain sorghum with implications for preharvest sprouting tolerance

The Plant Genome, Volume 19, Issue 1, March 2026.
Abstract Preharvest sprouting (PHS), triggered primarily by wet or humid conditions at maturity and further influenced by temperature, causes premature grain germination in sorghum (Sorghum bicolor (L.) Moench), reducing yield and grain quality. To elucidate the genetic architecture of seed dormancy and germination responses related to PHS tolerance ...
Yusa Ichinose, Dinesh Kumar Saini, Juliana M. Espíndola Lima, Gunvant B. Patil, Impa Somayanda, S. V. Krishna Jagadish   +5 more
wiley   +1 more source

Impact of common variants on brain gene expression from RNA to protein to schizophrenia risk. [PDF]

Nat Commun
Liang Q, Jiang Y, Shieh AW, Zhou D, Chen R, Wang F, Xu M, Niu M, Wang X, Pinto D, Wang Y, Cheng L, Vadukapuram R, Zhang C, Grennan K, Giase G, White KP, Peng J, Li B, Liu C, Chen C, Wang SH.   +21 more
europepmc   +1 more source

RPackagewgaim: QTL Analysis in Bi-Parental Populations Using Linear Mixed Models

, 2011
Julian Taylor, A. P. Verbyla
openalex   +1 more source

Do maize chromosomes contribute to genetic variance in proportion to their size in elite populations?

The Plant Genome, Volume 19, Issue 1, March 2026.
Abstract Quantitative trait loci (QTLs) are often assumed to be uniformly distributed across the genome in modeling and simulation studies. Our aim was to assess whether the contribution of each chromosome to genetic variance (VG) is proportional to its length in maize (Zea mays L.).
Inés Rebollo, Rex Bernardo
wiley   +1 more source

Integrating linkage mapping and GWAS reveals novel genetic architecture of seed weight in soybean (<i>Glycine max</i> L.). [PDF]

Front Plant Sci
Zhang C, Hong H, Yuan R, Zhao K, Zha B, Lamlom SF, Xi X, Ren H, Qiu L, Wang J.   +9 more
europepmc   +1 more source

Impact of environmental covariates summarization on predictive ability in genomic selection

The Plant Genome, Volume 19, Issue 1, March 2026.
Abstract Integrating genomic and environmental information holds the potential for enhancing the predictive power of genomic prediction models when accounting for the genotype‐by‐environment interactions. Hence, incorporating environmental covariates (EC) into these models can significantly influence their predictive accuracy.
Vitor Seiti Sagae, Moysés Nascimento, Ana Carolina Campana Nascimento, Felipe Lopes da Silva, Diego Jarquin   +4 more
wiley   +1 more source

Additional file 1 of Physiological and Molecular Characterization of the Drought Tolerance-Related QTL qDTY12.1 in Japonica Rice

Fan-Yin Tseng, M.C. Chang, Jen-You Jian, Yu-Chang Tsai   +3 more
openalex   +1 more source