Abstract Genomic selection (GS) is a promising strategy for accelerating genetic gains of complex traits in breeding programs. Despite the recent advancements in high‐throughput genotyping technologies, the selection of the type of marker systems needed for GS remains challenging in breeding programs.
Samuel A. Adewale +14 more
wiley +1 more source
Quantitative analysis of sediment source contributions to the different deposits in the Taklamakan Desert, western China, determined using discriminant function analysis. [PDF]
Zhou Y, Chen B, Huang W.
europepmc +1 more source
Abstract Identifying genomic regions linked to yield and quality is crucial for sorghum (Sorghum bicolor L.) improvement, but limited studies on its genome and diversity hinder breeding efforts. This study aimed to identify phenotypic variance and common quantitative trait nucleotides (QTNs) associated with genomic regions linked with grain yield and ...
Chalachew Endalamaw +7 more
wiley +1 more source
Experimental research on the feasibility of phosphogypsum-enzyme induced carbonate precipitation (EICP) solidified loess. [PDF]
Dang T +6 more
europepmc +1 more source
Land Subsidence in the Loess Plateau: SBAS-InSAR Analysis of Yan'an New District During 2017-2022. [PDF]
Hong Y +6 more
europepmc +1 more source
Behavior of unsaturated sandy loess under high-frequency unilateral cyclic loading. [PDF]
Jiang Z, Shen B, Gao J, Xie D, Han Z.
europepmc +1 more source
Enhanced Quantitative Assessment of Lumbar Facet Joint Degeneration: Refining the Joint Degeneration Grading System With Grayscale Curve Fitting and Imaging Parameter. [PDF]
Liu X +6 more
europepmc +1 more source
Acoustic Emission Precursors in Pile-Reinforced Loess Landslides: A New Early-Warning Signals Identification Approach. [PDF]
Zheng S, Yang W, Zhao T, Li X, Lu Z.
europepmc +1 more source
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AbstractLinear least squares regression is among the most well known classical methods. This and other parametric least squares regression models do not perform well when the modeling is too restrictive to capture the nonlinear effect the covariates have on the response.
GIJBELS I, PROSDOCIMI I
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