• ISSN 1008-505X
  • CN 11-3996/S
罗东林, 王伟, 朱陆伟, 白翠华, 李欢, 周昌敏, 邱全敏, 姚丽贤. 华南荔枝叶片营养诊断指标的建立[J]. 植物营养与肥料学报, 2019, 25(5): 859-870. DOI: 10.11674/zwyf.18201
引用本文: 罗东林, 王伟, 朱陆伟, 白翠华, 李欢, 周昌敏, 邱全敏, 姚丽贤. 华南荔枝叶片营养诊断指标的建立[J]. 植物营养与肥料学报, 2019, 25(5): 859-870. DOI: 10.11674/zwyf.18201
LUO Dong-lin, WANG Wei, ZHU Lu-wei, BAI Cui-hua, LI Huan, ZHOU Chang-min, QIU Quan-min, YAO Li-xian. Establishment of foliar nutrient diagnosis norms for litchi (Litchi chinensis Sonn.) in South China[J]. Journal of Plant Nutrition and Fertilizers, 2019, 25(5): 859-870. DOI: 10.11674/zwyf.18201
Citation: LUO Dong-lin, WANG Wei, ZHU Lu-wei, BAI Cui-hua, LI Huan, ZHOU Chang-min, QIU Quan-min, YAO Li-xian. Establishment of foliar nutrient diagnosis norms for litchi (Litchi chinensis Sonn.) in South China[J]. Journal of Plant Nutrition and Fertilizers, 2019, 25(5): 859-870. DOI: 10.11674/zwyf.18201

华南荔枝叶片营养诊断指标的建立

Establishment of foliar nutrient diagnosis norms for litchi (Litchi chinensis Sonn.) in South China

  • 摘要:
    目的 比较4种叶片营养诊断方法在荔枝 (Litchi chinensis Sonn.) 营养诊断上的优缺点,确定荔枝适用的诊断方法并建立诊断指标,为诊断我国荔枝树体营养和养分管理提供科学依据。
    方法 妃子笑是我国最广泛种植的品种。在华南荔枝主产区22个妃子笑果园分别采集2016年果实膨大期、2016年末次梢老熟期和2017年果实膨大期193、186和159个叶片样本,测定大中微量元素养分含量;准确记录采样树果实产量,以株产乘以种植密度计算果园产量,用欧式距离平方法确定两年高产水平,并建立果实产量与叶片养分含量关系函数;利用4种叶营养诊断方法临界值法(CVA)、充足范围法(SRA)、诊断施肥综合法(M-DRIS)、组分营养诊断法(CND),分别对3个时期荔枝叶片营养状况进行诊断。
    结果 大部分果园年际间产量差异明显。同一生育期不同采样树叶片同一养分含量相差两倍至十数倍,两年果实膨大期叶片各种养分含量差异显著,但两年高产群体果实膨大期叶片养分含量较为接近。根据果实产量与叶片养分含量之间的关系模型,CVA只能获得少数养分元素的诊断指标,而M-DRIS法和CND法只能定性指出养分元素的需求顺序,而且诊断准确性与诊断时期、养分丰缺程度有关且年际差异大。SRA可获得各种养分的量化诊断指标,并且两年果实膨大期的诊断指标接近,可克服年际间的差异。
    结论 SRA具有年份变异小、诊断指标全面且易于推广应用等优点,可用于华南妃子笑叶片营养诊断。用该法获得妃子笑果实膨大期叶片养分适宜范围为N 16.7~19.2 g/kg、P 1.06~1.25 g/kg、K 5.1~6.7 g/kg、Ca 7.7~11.0 g/kg、Mg 2.5~3.7 g/kg、S 1.51~1.81 g/kg、Zn 19.6~32.6 mg/kg和B 11.5~19.2 mg/kg;末次梢老熟期叶片养分适宜水平为N 19.7~22.0 g/kg、P 1.69~1.95 g/kg、K 10.8~12.7 g/kg、Ca 3.0~4.1 g/kg、Mg 2.5~2.9 g/kg、S 1.38~1.57 g/kg、Zn 15.0~18.9 mg/kg和B 10.8~16.8 mg/kg。

     

    Abstract:
    Objectives The availability of four foliar nutrient diagnosis approaches in litchi (Litchi chinensis Sonn.) was compared. The proper diagnosis method was chosen and the ranges of nutrient in litchi leaves were proposed.
    Methods Feizixiao is the most widely cultivated litchi cultivar in China. Twenty-two typical Feizixiao orchards, located in the main production regions of South China, were chosen in this study. The collected leaf sample number was 193 at the fruit swelling stage (FSS) of 2016, 186 at the last autumn shoot maturing stage (LASMS) of 2016 and 159 at FSS of 2017, respectively. Foliar nutrient (N, P, K, Ca, Mg, S, Zn and B) concentrations of all samples were detected. The fruit yield was recorded for each tree at harvest stage in 2016 and 2017, and the fruit yield in each orchard was calculated by multiplying fruit yield per tree and plantation density in the orchard. The high yield population for nutrient diagnosis in both years was determined by squared Euclidean distance. The relationship between fruit yield and leaf nutrient concentration was fitted. Four methods including the critical value approach (CVA), sufficiency range approach (SRA), modified diagnosis and recommendation integrated system (M-DRIS), and compositional nutrient diagnosis (CND) were used to evaluate the foliar nutrient status of litchi at the three stages.
    Results Alternative fruit bearing was commonly observed in most sampled orchards. The maximum concentrations of foliar nutrients were 2-fold to more than 10-fold higher than the minimum levels in the sampled trees at the same growth stage. Significant difference was observed in foliar nutrient contents at the FSS between 2016 and 2017, however, the high yield population in both years was characterized by relatively constant foliar nutrient concentrations. Based on the relationship between fruit yield and foliar nutrient concentration, diagnosis indices of a few foliar nutrients were obtained by CVA. The necessity of foliar nutrients was qualitatively instead of quantitatively evaluated by M-DRIS and CND, moreover, the diagnosis accuracy for nutrients was related with the diagnosis stage and the severity of nutrient deficiency or abundance, with significant annual variation. In contrast, diagnosis indices for all nutrients could be calculated by SRA, and maintained relatively stable at FSS of both 2016 and 2017, regardless of the annual variation of fruit yields.
    Conclusions SRA is accepted to compute the foliar nutrient diagnosis norms for litchi due to its small annual variation, universal diagnosis index and practicability. According to the SRA, the optimal foliar nutrient contents for Feizixiao are recommended as N 16.7–19.2 g/kg, P 1.06–1.25 g/kg, K 5.1–6.7 g/kg, Ca 7.7–11.0 g/kg, Mg 2.5–3.7 g/kg, S 1.51–1.81 g/kg, Zn 19.6–32.6 mg/kg, B 11.5–19.2 mg/kg at FSS, and N 19.7–22.0 g/kg, P 1.69–1.95 g/kg, K 10.8–12.7 g/kg, Ca 3.0–4.1 g/kg, Mg 2.5–2.9 g/kg, S 1.38–1.57 g/kg, Zn 15.0–18.9 mg/kg, B 10.8–16.8 mg/kg at LASMS.

     

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