| 薄壳山核桃不同基质配方容器苗质量综合评价 |
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| 引用本文： | 杜洋文,程军勇,邓先珍.薄壳山核桃不同基质配方容器苗质量综合评价[J].中国农学通报,2021,37(16):26-32. |
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| 作者姓名： | 杜洋文 程军勇 邓先珍 |
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| 作者单位： | 1.经济林木种质改良与资源综合利用湖北省重点实验室/大别山特色资源开发湖北省协同创新中心/黄冈师范学院,湖北黄冈 438000;2.湖北省林业科学研究院,武汉 430075 |
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| 基金项目： | 湖北省重点实验室开放基金“薄壳山核桃容器育苗关键技术研究”(201930603);中央财政林业科技推广项目“长山核桃规模化繁育与高效栽培应用示范”(鄂[2019]TG12号) |
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| 摘 要： | 为筛选出培育薄壳山核桃优质容器苗的最佳基质配方,以泥炭土、珍珠岩、黄心土和复合肥为材料按一定比例配制成6个基质配方,并对6个配方培育的容器苗苗木高度、地径、地上鲜重、地下鲜重、地上干重、地下干重、根冠比、根重比、高径比、含水率、总生物量、苗木质量指数、根长、根表面积、根体积和根直径进行测量,采用方差分析、多重比较、主成分分析和隶属函数值法对苗木质量分别进行综合评价。结果表明,配方6（泥炭土:珍珠岩:黄心土=3:3:2）和配方1（泥炭土:珍珠岩:黄心土=1:1:1）培育的容器苗综合性状表现更好。采用主成分分析法将16个单项指标转化为3个相互独立的综合变量,求得各配方的综合指标值及相应的隶属函数值,经过综合加权,得出6个基质配方苗木质量综合评价值,表现为配方6>配方1>配方4（泥炭土:珍珠岩:黄心土+缓释肥=3:1:3+5 g）>配方2（泥炭土:珍珠岩:黄心土+缓释肥=2:1:2+10 g）>配方3（泥炭土:珍珠岩:黄心土=3:2:3）>配方5（泥炭土:珍珠岩:黄心土+缓释肥=3:2:1+10 g）。利用逐步回归建立最优回归方程,以地上干重为评价指标能准确预测苗木质量综合评价值。
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| 关 键 词： | 薄壳山核桃 基质配方 容器苗 苗木质量 综合评价 |
| 收稿时间： | 2020-08-25 |
Comprehensive Evaluation of Seedling Quality of Carya illinoensis in Different Matrix Formula Containers |
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| Du Yangwen,Cheng Junyong,Deng Xianzhen.Comprehensive Evaluation of Seedling Quality of Carya illinoensis in Different Matrix Formula Containers[J].Chinese Agricultural Science Bulletin,2021,37(16):26-32. |
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| Authors: | Du Yangwen Cheng Junyong Deng Xianzhen |
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| Institution: | 1.Hubei Key Laboratory of Economic Forest Germplasm Improvement and Resources Comprehensive Utilization/Hubei Collaborative Innovation Center for the Characteristic Resources Exploitation of Dabie Mountains/Huanggang Normal University, Huanggang Hubei 438000;2.Hubei Academy of Forestry, Wuhan 430075 |
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| Abstract: | To select the best matrix formula for cultivating high quality container seedlings of Carya illinoensis, 6 matrix formulas were prepared from peat, perlite, yellow core and compound fertilizer in proportion, the height, diameter, fresh weight, fresh weight, dry weight, root-crown ratio, root-to-crown ratio, root-to-diameter ratio, moisture content, total biomass, seedling mass index, root length, root surface area, root volume and root diameter of the container seedlings were measured. The quality of seedlings was evaluated by variance analysis, multiple comparison method, principal component analysis and membership function method. The results showed that: the comprehensive characters of container seedlings cultivated in formula 6 (peat: perlite: yellow core=3:3:2) and formula 1 (peat: perlite: yellow core=1:1:1) were relatively good according to the comprehensive indexes. 16 individual indexes were transformed into 3 independent synthetic variables by principal component analysis, and the comprehensive index values and corresponding membership function values of each formula were computed by corresponding formulas. The comprehensive seedling quality evaluation values of the 6 matrix formulas were obtained by comprehensive weighting as: formula 6> formula 1> formula 4 (peat: perlite: yellow core+ slow-release fertilizer=3:1:3+5 g)> formula 2 (peat: perlite: yellow core: slow-release fertilizer= 2:1:2+10 g)> formula 3 (peat: perlite: yellow core=3:2:3)> formula 5 (peat: perlite: yellow core+ slow-release fertilizer =3:2:1+10 g). The optimal regression equation which could predict accurately the comprehensive seedling quality evaluation values by the upground dry weight is established by the stepwise regression. |
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| Keywords: | Carya illinoensis matrix formula container seedlings seedling quality comprehensive evaluation |
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