文章摘要
李建光, 郭栋梁, 韩冬梅,等.龙眼树势评判及表观预测模型的建立[J].广东农业科学,2015,42(4):153-156
查看全文    HTML 龙眼树势评判及表观预测模型的建立
Lonan tree vigour evaluation and its prediction model construction
  
DOI:
中文关键词: 龙眼  树势  相关分析  预测模型
英文关键词: longan tree vigour correlation analysis prediction model
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作者单位
李建光, 郭栋梁, 韩冬梅,等 农业部南亚热带果树生物学与遗传资源利用重点实验室/广东省农科院果树研究所 
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中文摘要:
      在龙眼末次秋梢充分老熟后,调查梢长、梢粗、复叶数、叶片长、叶片宽、节间长以及叶片干鲜重、叶 片色差参数等表观生长指标,通过常规分析各个指标发现弱树与壮树末次梢的长度、粗度、复叶数及叶片宽差 异极显著,说明树势越强壮,末次梢表现越长越粗,复叶数也较多,叶片也大。 运用 SPSS19.0 统计分析软件对所 有测定指标进行相关分析,建立树势表观预测模型:Y 理论树势=-0.148-0.106XC 值+0.755X 梢粗,依据树势分类和预 测模型中的两个预测变量,对分类结果进行判别分析,以验证预测变量的准确率,预测模型的总判别准确率为 69.9%。
英文摘要:
      In the last autumn shoot mature period, the index of shoot length and diameter, the number ofcompound leaf, leaf length and width, internode length, leaf dry weight and fresh weight, leaf colour were investigatedin this paper. The results showed that the last autumn shoot length and diameter, the number of compound leaf, leafwidth of weak tree vigour was significantly lower than those of plant with strong tree vigour, which indicated thatthese index had very close relation tree vigour. All index were analyzed by SPSS 19.0 software and the tree vigourprediction model was constructed, Y (theoretical tree vigour)=-0.148-0.106X (the value of C)+0.755X (the value ofshoot diameter). The model was tested, accuracy rate reached 69.9%.In the last autumn shoot mature period, the index of shoot length and diameter, the number ofcompound leaf, leaf length and width, internode length, leaf dry weight and fresh weight, leaf colour were investigatedin this paper. The results showed that the last autumn shoot length and diameter, the number of compound leaf, leafwidth of weak tree vigour was significantly lower than those of plant with strong tree vigour, which indicated thatthese index had very close relation tree vigour. All index were analyzed by SPSS 19.0 software and the tree vigourprediction model was constructed, Y (theoretical tree vigour)=-0.148-0.106X (the value of C)+0.755X (the value ofshoot diameter). The model was tested, accuracy rate reached 69.9%.
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