Journals
  Publication Years
  Keywords
Search within results Open Search
Please wait a minute...
For Selected: Toggle Thumbnails
Development of a texture evaluation system for winter jujube (Ziziphus jujuba ‘Dongzao’)
KONG Xia-bing, XU Min, WAN Hao-liang, HAN Ling-xi, LIU Xiao-li, LI Qing-jun, HAO Bian-qing, ZHANG Shao-jun, LI Xiao-ming, LIU Yi-hui, NIE Ji-yun
2022, 21 (12): 3658-3668.   DOI: 10.1016/j.jia.2022.09.007
Abstract262)      PDF in ScienceDirect      

Winter jujube (Ziziphus jujuba ‘Dongzao’) is an excellent late maturing variety of fresh-eating jujube in China.  Fruit texture is an important indicator of sensory quality.  To investigate the correlations among texture indices and establish an evaluation system for winter jujube texture, we used the TMS-Touch instrument to perform a texture profile analysis (TPA) on 1 150 winter jujubes from three major producing areas in China.  Eight indices and their best-fit distribution were obtained, including fracture (Pearson), hardness (InvGauss), adhesive force (Weibull), adhesiveness (LogLogistic), cohesiveness (LogLogistic), springiness (BetaGeneral), gumminess (InvGauss), and chewiness (InvGauss).  Based on the best-fit distribution curves, each index was divided into five grades (lower, low, medium, high and higher) by the 10th, 30th, 70th and 90th percentiles.  Among the texture indices, 82% of the correlation coefficients were highly significant (P<0.01); meanwhile, chewiness was significantly (P<0.01) and positively correlated with springiness and gumminess, of which the correlation coefficients were up to 0.8692 and 0.8096, respectively.  However, adhesiveness was significantly (P<0.01) and negatively related to adhesive force with a correlation coefficient of –0.7569.  Among hardness, cohesiveness, springiness, gumminess, and chewiness, each index could be well fitted by a multiple linear regression with the remaining four indices, with the coefficients above 0.94 and the mean fitting error and mean prediction error lower than 10%.  A comprehensive evaluation model was consequently established based on factor analysis to evaluate the texture quality of winter jujube.  The results demonstrated that winter jujube with higher comprehensive scores generally exhibited higher springiness and chewiness, but had lower adhesive force and adhesiveness.  We used factor analysis and clustering analysis to divide the eight studied texture into four groups (cohesive factor, adhesive-soft factor, tough-hard factor, and crispness factor), whose representative indices were springiness, adhesiveness, hardness, and fracture, respectively.  Overall, this study investigated the variation in each index of winter jujube texture, explored the association among these indices, screened the representative indices, and established a texture evaluation system.  The results provide a methodological basis and technical support for evaluating winter jujube texture.

Reference | Related Articles | Metrics
Identifying SNPs associated with birth weight and days to 100 kg traits in Yorkshire pigs based on genotyping-by-sequencing
WU Ping-xian, ZHOU Jie, WANG Kai, CHEN De-juan, YANG Xi-di, LIU Yi-hui, JIANG An-an, SHEN Lin-yuan, JIN Long, XIAO Wei-hang, JIANG Yan-zhi, LI Ming-zhou, ZHU Li, ZENG Yang-shuang, XU Xu, QIU Xiao-tian, LI Xue-wei, TANG Guo-qing
2021, 20 (9): 2483-2490.   DOI: 10.1016/S2095-3119(20)63474-8
Abstract130)      PDF in ScienceDirect      
Birth weight (BW) and days to 100 kg (D100) are important economic traits that are both affected by polygenes.  However, the genetic architecture of these quantitative traits is still elusive.  Genotyping-by-sequencing (GBS) data containing a large number of single nucleotide polymorphisms (SNPs) have become a powerful tool in genomic analysis.  To better understand their complex genetic structure, a total of 600 Yorkshire pigs were sequenced using GBS technology.  After quality control, 279 787 SNPs were generated for subsequent genome-wide association study (GWAS).  A total of 30 genome-wide SNPs (P<1.79E–07) were identified for D100.  Furthermore, a total of 22 and 2 suggestive SNPs (P<3.57E–06) were detected for D100 and BW, respectively.  Of these, one locus located on SSC12 (position: 46 226 512 bp) were evaluated to affect both BW and D100 in Yorkshire pigs, indicating the pleiotropism in different traits.  Considering the function of candidate genes, two genes, NSRP1 and DOCK7, were suggested as the most promising candidate genes involved in growth traits.  Thus, use of GBS is able to identify novel variants and potential candidate genes for BW and D100, and provide an opportunity for improving pig growth traits using genomic selection in pigs.
 
Reference | Related Articles | Metrics