Carotenoids are the largest group of natural pigments responsible for the yellow,orange,and red colors in plant kernels,fruits,and leaves(Gupta and Hirschberg,2021).In plants,carotenoids are involved in manybiological...Carotenoids are the largest group of natural pigments responsible for the yellow,orange,and red colors in plant kernels,fruits,and leaves(Gupta and Hirschberg,2021).In plants,carotenoids are involved in manybiological processes,such as acting as accessory light-harvesting pigments in photosynthesis,participating in photoprotection,and serving as precursors for the hormones abscisic acid(ABA)and strigolactones(Ruiz-Sola and Rodriguez-Concepcion,2012).展开更多
Adding colors to monochrome thermal infrared images can help observers understand the scenery better. A nonlinear color estimation method for single-band thermal infrared imagery based on kernel principal component an...Adding colors to monochrome thermal infrared images can help observers understand the scenery better. A nonlinear color estimation method for single-band thermal infrared imagery based on kernel principal component analysis (KPCA) and sparse representation was proposed. Nonlinear features of infrared image were extracted using KPCA. The relationship between image features and chromatic values was learned using sparse representation and a color estimation model was obtained. The thermal infrared images can be rendered automatically using the color estimation model. The experimental results show that the proposed method can render infrared image with an accurate color appearance. The proposed idea can also be used in other color estimation problem.展开更多
Using the linear space over the binary field that related to a graph G, a sufficient and necessary condition for the chromatic number of G is obtained.
彩色小麦的产量通常低于普通白粒和红粒小麦,籽粒偏小是原因之一。为解析控制彩色小麦产量性状的遗传基础,分析了239份彩色小麦品种(系)在4个环境下的表型特性和16 K SNP芯片基因型数据,对株高和籽粒性状(千粒重、籽粒长、籽粒宽和籽粒...彩色小麦的产量通常低于普通白粒和红粒小麦,籽粒偏小是原因之一。为解析控制彩色小麦产量性状的遗传基础,分析了239份彩色小麦品种(系)在4个环境下的表型特性和16 K SNP芯片基因型数据,对株高和籽粒性状(千粒重、籽粒长、籽粒宽和籽粒长宽比)的QTL进行了全基因组关联分析(genome-wide-association-study,GWAS)。结果显示,各表型性状的变异系数为5.11%~32.91%,广义遗传力为71.88%~97.00%,多数性状之间具有显著相关性。通过GWAS共筛选出26728个多态性SNP标记,定位到了17个与目标性状显著相关的稳定QTL位点,分布在1A、1B、1D、2B等12条染色体上,单个QTL解释5.26%~11.66%的表型变异,其中在3个环境下均被检测到的QTL有5个,分别为QPh.nwafu-4B.1、QKlwr.nwafu-1D、QKlwr.nwafu-4D、QKlwr.nwafu-5B.1和QKlwr.nwafu-6A.2;共发现10个未见报道的新QTL位点,分别为与株高相关的QPh.nwafu-4B.3,与千粒重相关的QTkw.nwafu-3B和QTkw.nwafu-6A,与籽粒长宽比相关的QKlwr.nwafu-1A、QKlwr.nwafu-1B、QKlwr.nwafu-4A、QKlwr.nwafu-5B.2、QKlwr.nwafu-6A.1和QKlwr.nwafu-6A.2。这些QTL位点初步表明了彩色小麦株高与籽粒性状基因位点的分布、组成,可为彩色小麦产量遗传改良提高参考。展开更多
基金supported by the National Key Research and Development Program of China(2022YFD1200704-3)Crop Varietal Improvement and Insect Pests Control by Nuclear Radiation,the Sichuan Province Science and Technology Program(2022NSFSC0018,2021YFYZ0011,2020YJ0249,MZGC20230108)the Biological Breeding Program of State Key of Sichuan Agricultural University(SKL-ZY202234).
文摘Carotenoids are the largest group of natural pigments responsible for the yellow,orange,and red colors in plant kernels,fruits,and leaves(Gupta and Hirschberg,2021).In plants,carotenoids are involved in manybiological processes,such as acting as accessory light-harvesting pigments in photosynthesis,participating in photoprotection,and serving as precursors for the hormones abscisic acid(ABA)and strigolactones(Ruiz-Sola and Rodriguez-Concepcion,2012).
基金National Natural Science Foundation of China(No. 61072090)the Fundamental Research Funds for the Central Universities,China+2 种基金Shanghai Pujiang Program,China(No. 12PJ1402200)China Postdoctoral Science Foundation Funded Project(No. 2012M511058)Shanghai Postdoctoral Sustentation Fund,China(No. 12R21412500)
文摘Adding colors to monochrome thermal infrared images can help observers understand the scenery better. A nonlinear color estimation method for single-band thermal infrared imagery based on kernel principal component analysis (KPCA) and sparse representation was proposed. Nonlinear features of infrared image were extracted using KPCA. The relationship between image features and chromatic values was learned using sparse representation and a color estimation model was obtained. The thermal infrared images can be rendered automatically using the color estimation model. The experimental results show that the proposed method can render infrared image with an accurate color appearance. The proposed idea can also be used in other color estimation problem.
文摘Using the linear space over the binary field that related to a graph G, a sufficient and necessary condition for the chromatic number of G is obtained.
文摘彩色小麦的产量通常低于普通白粒和红粒小麦,籽粒偏小是原因之一。为解析控制彩色小麦产量性状的遗传基础,分析了239份彩色小麦品种(系)在4个环境下的表型特性和16 K SNP芯片基因型数据,对株高和籽粒性状(千粒重、籽粒长、籽粒宽和籽粒长宽比)的QTL进行了全基因组关联分析(genome-wide-association-study,GWAS)。结果显示,各表型性状的变异系数为5.11%~32.91%,广义遗传力为71.88%~97.00%,多数性状之间具有显著相关性。通过GWAS共筛选出26728个多态性SNP标记,定位到了17个与目标性状显著相关的稳定QTL位点,分布在1A、1B、1D、2B等12条染色体上,单个QTL解释5.26%~11.66%的表型变异,其中在3个环境下均被检测到的QTL有5个,分别为QPh.nwafu-4B.1、QKlwr.nwafu-1D、QKlwr.nwafu-4D、QKlwr.nwafu-5B.1和QKlwr.nwafu-6A.2;共发现10个未见报道的新QTL位点,分别为与株高相关的QPh.nwafu-4B.3,与千粒重相关的QTkw.nwafu-3B和QTkw.nwafu-6A,与籽粒长宽比相关的QKlwr.nwafu-1A、QKlwr.nwafu-1B、QKlwr.nwafu-4A、QKlwr.nwafu-5B.2、QKlwr.nwafu-6A.1和QKlwr.nwafu-6A.2。这些QTL位点初步表明了彩色小麦株高与籽粒性状基因位点的分布、组成,可为彩色小麦产量遗传改良提高参考。
基金partially supported by the Fundamental Research Funds for the Central Universities,Nankai Universitypartially supported by NSFC(Nos.12161141006,12111540249)+2 种基金the Natural Science Foundation of Tianjin(No.20JCJQJC00090)the Fundamental Research Funds for the Central Universities,Nankai Universitypartially supported by grant DFF-7014-00037B of Independent Research Fund Denmark。
