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巴西橡胶树不同死皮程度植株的胶乳生理参数分析
作者: 郭秀丽  孙 亮  胡义钰  刘进平  王真辉  袁 坤*  
单位: (1 海南大学 农学院  海口 570100;2 中国热带农业科学院 橡胶研究所/农业部橡胶树生物学与遗传资源利用重点实验室  
关键词: 巴西橡胶树  死皮程度  生理参数  早期预测  
分类号:S794.1
出版年,卷(期):页码:2016 ,47 ( 9 ): 页码:1553-1557
摘要:

【目的】分析巴西橡胶树不同死皮程度植株胶乳的各生理参数,为橡胶树死皮的早期预测及死皮发生机理研究提供理论依据。【方法】测定热研7-33-97橡胶树不同死皮程度植株胶乳产量、胶乳硫醇、无机磷、蔗糖、粗酶液蛋白、镁离子含量及黄色体破裂指数等生理参数,分析其与橡胶树死皮发生的相关性。【结果】随着死皮程度的增加,橡胶树胶乳产量显著降低(P<0.05,下同),胶乳的干胶、蔗糖、镁离子含量及黄色体破裂指数增加;其中死皮程度最严重的胶乳产量最低,为13.56 mL/株,胶乳的镁离子含量和黄色体破裂指数分别达41.57 mmol/L和55.22%。胶乳硫醇、无机磷含量及pH随死皮程度的增加而降低,其中胶乳硫醇和无机磷含量均显著低于健康树;粗酶液蛋白含量无显著变化(P>0.05)。【结论】橡胶树胶乳硫醇、无机磷、镁离子含量及黄色体破裂指数等生理指标与其死皮程度密切相关,可作为橡胶树死皮早期预测的关键指标。

【Objective】Variation of latex physiological parameters of Hevea brasiliensis plants at different TPD extent were studied to provide theoretical references for early prediction of tapping panel dryness(TPD) and illumination of TPD mechanism in H. brasiliensis tree. 【Method】H. brasiliensis Reyan 7-33-97 plants at different TPD extents were used as the experimental materials. Variation of latex yield and contents of latex thiol,inorganic phosphorus,sucrose,crude enzyme liquid protein,Mg2+ and lutoid bursting index of plants at different extents TPD were determined. Correlation between variations and occurrence of TPD were analyzed. 【Result】With increase of TPD extent, latex yield significantly decreased(P<0.05, the same below) while dry rubber content, sucrose content, Mg2+ content and lutoid bursting index went up. When TPD extent was at the highest level,the latex production reached the lowest level which was 13.56 mL per plant, Mg2+ content and lutoid bursting index were 41.57 mmol/L and 55.22%, respectively. When TPD extent increased, latex thiol, inorganic phosphorus and pH value decreased. Latex thiol and inorganic phosphorus contents were significantly lower than those of healthy trees. There was no obvious change in terms of crude enzyme liquid protein content(P>0.05). 【Conclusion】Latex thiol,inorganic phosphorus,Mg2+ and lutoid bursting index are closely related to TPD extent of H. brasiliensis, which can be considered as key indicators of early prediction of TPD.

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