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Modeling leaf color dynamics of winter wheat in relation to growth stages and nitrogen rates 
ZHANG Yong-hui, YANG Yu-bin, CHEN Chun-lei, ZHANG Kui-ting, JIANG Hai-yan, CAO Wei-xing, ZHU Yan
2022, 21 (1): 60-69.   DOI: 10.1016/S2095-3119(20)63319-6
Abstract254)      PDF in ScienceDirect      
The objective of this work was to develop a model for simulating the leaf color dynamics of winter wheat in relation to crop growth stages and leaf positions under different nitrogen (N) rates.  RGB (red, green and blue) data of each main stem leaf were collected throughout two crop growing seasons for two winter wheat cultivars under different N rates.  A color model for simulating the leaf color dynamics of winter wheat was developed using the collected RGB values.  The results indicated that leaf color changes went through three distinct stages, including early development stage (ES), early maturity stage (MS) and early senescence stage (SS), with respective color characteristics of light green, dark green and yellow for the three stages.  In the ES stage, the R and G colors gradually decreased from their initial values to steady values, but the B value generally remained unchanged.  RGB values remained steady in the MS, but all three gradually increased to steady values in the SS.  Different linear functions were used to simulate the dynamics of RGB values in time and space.  A cultivar parameter of leaf color matrix (MRGB) and a nitrogen impact factor (FN) were added to the color model to quantify their respective effects.  The model was validated with an independent experimental dataset.  RMSEs (root mean square errors) between the observed and simulated RGB values ranged between 7.0 and 10.0, and relative RMSEs (RRMSEs) ranged between 7 and 9%.  In addition, the model was used to render wheat leaves in three-dimensional space (3D).  The 3D visualizations of leaves were in good agreement with the observed leaf color dynamics in winter wheat.  The developed color model could provide a solid foundation for simulating dynamic crop growth and development in space and time. 

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Identification of quantitative trait loci and candidate genes controlling seed pigments of rapeseed
ZHU Mei-chen, HU Ran, ZHAO Hui-yan, TANG Yun-shan, SHI Xiang-tian, JIANG Hai-yan, ZHANG Zhi-yuan, FU Fu-you, XU Xin-fu, TANG Zhang-lin, LIU Lie-zhao, LU Kun, LI Jia-na, QU Cun-min
2021, 20 (11): 2862-2879.   DOI: 10.1016/S2095-3119(20)63377-9
Abstract162)      PDF in ScienceDirect      
Rapeseed (Brassica napus L.) is an important source of edible vegetable oil and feed protein; however, seed pigments affect the quality of rapeseed oil and the feed value of the residue from oil pressing.  Here, we used a population of rapeseed recombinant inbred lines (RILs) derived from the black-seeded male parent cultivar Zhongyou 821 and the yellow-seeded female parent line GH06 to map candidate genes controlling seed pigments in embryos and the seed coat.  We detected 94 quantitative trait loci (QTLs) for seed pigments (44 for embryos and 50 for seed coat), distributed over 15 of the 19 rapeseed chromosomes.  These included 28 QTLs for anthocyanidin content, explaining 2.41–44.66% of phenotypic variation; 24 QTLs for flavonoid content, explaining 2.41–20.26% of phenotypic variation; 16 QTLs for total phenol content, accounting for 2.74–23.68% of phenotypic variation; and 26 QTLs for melanin content, accounting for 2.37–24.82% of phenotypic variation, indicating that these traits are under multigenic control.  Consensus regions on chromosomes A06, A09 and C08 were associated with multiple seed pigment traits, including 15, 19 and 10 QTLs, respectively, most of which were major QTLs explaining >10% of the phenotypic variation.  Based on the annotation of the B. napus “Darmor-bzh” reference genome, 67 candidate genes were predicted from these consensus QTLs regions, and 12 candidate genes were identified as potentially involved in pigment accumulation by RNA-seq and qRT-PCR analysis.  These preliminary results provide insight into the genetic architecture of pigment biosynthesis and lay a foundation for exploring the molecular mechanisms underlying seed coat color in B. napus.
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