荔枝果实发育过程中细胞分裂素的变化

荔枝果实中含有玉米素、二氢玉米素和二氢核糖基玉米素。果实发育过程中细胞分裂素（ＣＴＫ）含量的动态是：谢花后两周内含量最高，然后下降并稳定在低水平。用外源６一卞基氨基嘌呤（６一ＢＡ）处理，仅在果实发育初期有明显保果作用。果实采后贮藏期间ＣＴＫ含量稳定在低水平；贮藏前用６一ＢＡ处理，能延迟果实衰老，提高果品质量。     

水分胁迫对荔枝幼树根系与梢生长的影响

以盆栽沙培1年生荔枝空中压条苗为试材,研究了水分胁迫对荔枝幼树根系和梢生长的影响以及二者的相互关系。3个处理为:沙体积含水量为7.5%(严重缺水),15.0%(一般缺水),22.5%(充分供水)。结果表明:水分胁迫严重抑制荔枝幼树地上部分和各级侧根的生长,使地上部枝梢生长严重受阻,叶片数量、平均叶面积、叶片厚度均显著变小;根总干重、侧根长度、根表面积显著减少。水分胁迫下促进须根的生长,须根的长度、根表面积比水分充足时显著增加。水分胁迫时叶片淀粉含量下降,而根系积累更多的淀粉。比较不同处理的根梢比发现,干旱对根系生长的抑制作用比枝梢更显著。     

糯米糍荔枝果实内源激素与落果的关系

以糯米糍荔枝生理落果期的田间调查和胚胎发育研究为基础,探讨了内源激素与生理落果的关系.结果表明,糯米糍生理落果高峰的主要原因是:第1次因授粉受精不良导致的生长促进类激素尤其是CTK水平过低;第2次与胚乳为胚的发育所利用而消失、IAA和GAs急剧降低有关;第3次与胚的败育造成CTK、GAs和IAA的全面下降有关;第4次发生在假种皮(果肉)迅速生长期,与种皮和假种皮ABA升至高水平有关.此外,还探讨了ABA /(IAA+GAs+CTK)与生理落果的相关性,以及胚囊、珠被和假种皮等果实内部组分内源激素的变化特点.     

荔枝生产相关的水分生理指标远程监测研究

利用植物远程监测系统对荔枝园中的大气温湿度、土壤湿度、光照强度、大气蒸汽压差(VPD)等环境因子和茎干直径微变化、果实生长、叶片温度等树体生理指标进行了监测,发现该系统能准确及时并无伤害地记录他们的实时和周期性变化。据获得的数据初步表明,当果实处于快速膨大期,主茎的加粗生长明显缓慢,一旦果实采收后,茎干加粗生长则有一个迅速上升的变化;当土壤湿度高于33%(v/v)时,主茎的生长受到明显的抑制;VPD白天上升,夜间下降,当夜间VPD始终高于0,就形成所谓的“夜间干燥”,VPD的这种变化对荔枝主茎和果实的生长以及叶气温差(LATD)都有较大的影响,如主茎和果实的日间收缩量随VPD的增大而增大,夜间空气干燥不但抑制了主茎生长,也使日最大LATD下降。据此认为,果实和茎干的生长之间存在竞争关系,土壤湿度过高或者夜间空气干燥对荔枝的生长不利。     

荔枝环剥时期对新梢生长及碳素储备的影响

 枝梢环剥显著抑制了‘怀枝’荔枝新梢的生长，并导致射线细胞和髓部大量积累淀粉。梢芽萌发或伸长前环剥可完全抑制新梢生长，而新梢快速伸长期环剥对其抑制效应最弱。秋季环剥对新梢的抑制和对淀粉积累的促进效应明显高于春季环剥。环剥口以上的老叶面积和环剥位置并不影响环剥对新梢生长的抑制效应和促进淀粉的积累效应，但环剥口以上单位枝梢长度的叶面积与淀粉含量呈显著正相关。     

荔枝品种亲缘关系的AFLP分析

 应用AFLP技术，对39个荔枝品种进行了遗传多样性分析及分类研究。筛选出适于荔枝AFLP分析的最佳引物组合3对，分别为EcoRI AAC+MseI CTG，EcoPd AGC+MseI CAT，EcoRI ACC+Msel CAT。在分子水平上，荔枝品种的遗传多样性并非形态学性状所体现的那样丰富。AFLP分析将39个荔枝品种分成了6组，与传统的以果皮龟裂片隆起类型为分类标准的分类没有一致性。初步建立起荔枝主要栽培品种的分子标记标准图谱。应用AFLP技术对来自两个不同地方的两个荔枝品种(桂味、妃子笑)进行了鉴别。     

荔枝冷害过程中果皮色泽、花色素苷和类黄酮含量的变化

 研究了‘糯米糍’荔枝果实在3 ℃和0 ℃条件下果皮的色泽和花色素苷及类黄酮含量的变化。结果表明, 果实在0 ℃下14 d 时褐变指数迅速增大, 21 d 时已遭受不可逆的冷害。在冷藏过程中, 果皮的色泽指标a、L、C 值及花色素苷、类黄酮、总酚含量均随贮藏时间的延长而下降, 0 ℃下比3 ℃下降快。0 ℃下14～21 d , a、L、C 值分别下降了27.95 %、33.58 %和58.47 % , 而21 d 时果皮花色素苷、类黄酮和总酚含量依次为采收时的18.08 %、35.99 %和41.64 %。说明冷害加速了荔枝果皮花色素苷的降解及类黄酮和总酚的变化, 促进了褐变进程的发生。果皮a、L、C 值与褐变指数、花色素苷含量呈显著相关性( P < 0.05) ,采用自动测色色度计可真实地反映果皮花色素苷含量和褐变程度。     

环切对糯米糍荔枝果实大小和裂果的影响

结果母枝和主枝环切处理导致糯米糍荔枝的果实大小显著减小,裂果率显著增加,环切圈以上叶片中可溶性糖和淀粉的含量显著增加,结果母枝中的可溶性糖含量增加,果实中的总糖与蔗糖含量则显著地降低。据此认为,近几年来,糯米糍的果个比20世纪80年代明显减小,裂果增加,很可能与生产中多年连续施行主枝环切(或环剥)技术有关,而碳水化合物运入果实量的减少可能是环切导致果实变小的原因之一。     

荔枝FKBP16-2基因启动子的克隆与瞬时表达分析

前期研究中发现了一个果肉低表达而叶片中高表达的荔枝基因FKBP16-2。本文克隆了该基因1 578 bp的启动子片段并对其功能进行了初步分析,结果表明:荔枝FKBP16-2基因启动子序列中含有大量的TATA-box和CAAT-box保守元件,以及TCA-element,ARE,HSE,GCN4_motif,O2-site等各种转录调控相关的顺式作用元件。该启动子能驱动GUS基因在荔枝的花、叶、根、果皮以及种子中表达而在果肉中不表达,表达具有组织特异性。     

Estimation of litchi (Litchi chinensis Sonn.) leaf nitrogen content at different growth stages using canopy reflectance spectra

The estimation of crop nitrogen status in fresh vegetation leaf using field spectroscopy is challenging due to the weak responses on leaf/canopy reflectance and the overlapping with the absorption features of other compounds. Although the spectral indices were proposed in the literature to predict leaf nitrogen content (LNC), the performance of selected spectral indices to estimate the LNC is often inconsistent. Moreover, the models for nitrogen content estimation changed with the growth stage. The goal of this study was to evaluate the performance of published indices, ratio of data difference index (RDDI) and ratio of data index (RDI) developed by band iterative-optimization algorithm in LNC estimation. The correlation analysis, linear regression and cross validation were used to analyze the relationship between spectral data and LNC and construct the best performed estimation model. The study was conducted by the data of five growing seasons of litchi from the orchards in Guangdong Province of China. Results showed that the relationship between chlorophyll (Chl) related spectral indices and LNC varied with the growth stage. Even in flower bud morphological differentiation stage and autumn shoot maturation stage, there were not significant correlations between the proposed spectral indices and LNC. Besides it is difficult to estimate the LNC by the general model across the growth stages due to the integrated effects of cultivar, biochemical, canopy structure, etc. The band iterative-optimization algorithm can improve the sensitivity of spectral data to LNC to some extent. The optimal RDDI performed better than other indices for the synthetic dataset and the dataset in each growth stage. And the sensitive bands selected in the optimal indices at each growth stage are not consistent, which are not only related to the Chl absorption but also other biochemical components, such as starch, lignin, cellulose, protein, etc. In general, the LNC can be estimated by the optimized CR-based RDDI indices in autumn shoot maturation stage, flower spike stage, fruit maturation stage, and flowering stage with the R² > 0.50 and RMSE < 0.14. Although there were the significant relationship between RDIs and RDDIs in flower bud morphological differentiation stage, the highest R²s of the model developed by RDDIs and RDIs were less than 0.50 in cross validation. This study indicated that the applicability of canopy reflectance to estimate litchi LNC was closely related to the growth stage of litchi. Growth stage-specific models will be preferred for estimating litchi LNC estimation.