Dissecting the Genetic Architecture of Shoot Growth in Carrot (Daucus carota L.) Using a Diallel Mating Design

G3: Genes, Genomes, Genetics

article

Sarah D. Turner¹  Paul L. Maurizio²  William Valdar³  Brian S. Yandell¹  Philipp W. Simon¹ 

[1] Department of Horticulture, University of Wisconsin-Madison, Wisconsin 53706;Curriculum in Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, North Carolina 27599;Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599;Department of Statistics, University of Wisconsin-Madison, Wisconsin 53706;United States Department of Agriculture–Agricultural Research Service, Vegetable Crops Research Unit, Madison, Wisconsin 53706

关键词: diallel;    Bayesian mixed model;    genetic architecture;    multiple imputation;    heterosis;    degree of dominance;    multiparental populations;    MPP;   

DOI  :  10.1534/g3.117.300235

学科分类：社会科学、人文和艺术（综合）

来源: Genetics Society of America

【 摘 要 】

Crop establishment in carrot ( Daucus carota L.) is limited by slow seedling growth and delayed canopy closure, resulting in high management costs for weed control. Varieties with improved growth habit ( i.e. , larger canopy and increased shoot biomass) may help mitigate weed control, but the underlying genetics of these traits in carrot is unknown. This project used a diallel mating design coupled with recent Bayesian analytical methods to determine the genetic basis of carrot shoot growth. Six diverse carrot inbred lines with variable shoot size were crossed in WI in 2014. F1 hybrids, reciprocal crosses, and parental selfs were grown in a randomized complete block design with two blocks in WI (2015) and CA (2015, 2016). Measurements included canopy height, canopy width, shoot biomass, and root biomass. General and specific combining abilities were estimated using Griffing’s Model I, which is a common analysis for plant breeding experiments. In parallel, additive, inbred, cross-specific, and maternal effects were estimated from a Bayesian mixed model, which is robust to dealing with data imbalance and outliers. Both additive and nonadditive effects significantly influenced shoot traits, with nonadditive effects playing a larger role early in the growing season, when weed control is most critical. Results suggest the presence of heritable variation and thus potential for improvement of these phenotypes in carrot. In addition, results present evidence of heterosis for root biomass, which is a major component of carrot yield.

【 授权许可】

CC BY|CC BY-NC