Qi Zhang^1,#, Pengtao Li^2,#, Aiying Liu¹, Shaoqi Li¹, Quanwei Lu², Qun Ge¹, Junwen Li¹, Wankui Gong¹, Xiaoying Deng¹, Haihong Shang^1,3, Yuzhen Shi^1,*, Youlu Yuan^1,3,*

Phyton-International Journal of Experimental Botany, Vol.90, No.3, pp. 837-858, 2021, DOI:10.32604/phyton.2021.014437

Abstract Cotton is the most widely cultivated commercial crop producing natural fiber around the world. As a critical trait for fiber quality, fiber strength principally determined during the secondary wall thickening period. Based on the developed BC₅F_3:5 CSSLs (chromosome segment substitution lines) from Gossypium hirsutum CCRI36 × G. barbadense Hai 1, the superior MBI9915 was chosen to construct the secondary segregated population BC₇F₂ with its recurrent parent CCRI36, which was subsequently subjected to Bulk segregant RNA-sequencing (BSR-seq) for rapid identification of candidate genes related to fiber strength. A total of 4 fiber-transcriptome libraries were separately constructed and sequenced, including two parents… More >

Trenton M. Ricks¹, Thomas E. Lacy, Jr.^1,2, Brett A. Bednarcyk³, Steven M.Arnold³, John W. Hutchins¹

CMC-Computers, Materials & Continua, Vol.40, No.2, pp. 99-130, 2014, DOI:10.3970/cmc.2014.040.099

Abstract A multiscale modeling methodology was developed for continuous fiber composites that incorporates a statistical distribution of fiber strengths into coupled multiscale micromechanics/ finite element (FE) analyses. A modified twoparameter Weibull cumulative distribution function, which accounts for the effect of fiber length on the probability of failure, was used to characterize the statistical distribution of fiber strengths. A parametric study using the NASA Micromechanics Analysis Code with the Generalized Method of Cells (MAC/GMC) was performed to assess the effect of variable fiber strengths on local composite failure within a repeating unit cell (RUC) and subsequent global failure. The NASA code FEAMAC… More >