CN111855751B - 一种基于电阻值快速评价柳树品种耐盐性的方法 - Google Patents

一种基于电阻值快速评价柳树品种耐盐性的方法 Download PDF

Info

Publication number
CN111855751B
CN111855751B CN202010815719.6A CN202010815719A CN111855751B CN 111855751 B CN111855751 B CN 111855751B CN 202010815719 A CN202010815719 A CN 202010815719A CN 111855751 B CN111855751 B CN 111855751B
Authority
CN
China
Prior art keywords
willow
salt
branches
variety
resistance value
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010815719.6A
Other languages
English (en)
Other versions
CN111855751A (zh
Inventor
张健
刘国元
陈艳红
江钰娜
余春梅
钟非
连博琳
柯勇超
郭安芳
朱星兆
刘昱
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nantong University
Original Assignee
Nantong University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nantong University filed Critical Nantong University
Priority to CN202010815719.6A priority Critical patent/CN111855751B/zh
Publication of CN111855751A publication Critical patent/CN111855751A/zh
Application granted granted Critical
Publication of CN111855751B publication Critical patent/CN111855751B/zh
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
    • G01N27/02Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
    • G01N27/04Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance
    • G01N27/041Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance of a solid body
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
    • G01N27/02Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
    • G01N27/04Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance
    • G01N27/06Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance of a liquid
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0098Plants or trees
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N2021/8466Investigation of vegetal material, e.g. leaves, plants, fruits

Landscapes

  • Chemical & Material Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • Engineering & Computer Science (AREA)
  • Botany (AREA)
  • Wood Science & Technology (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Detergent Compositions (AREA)

Abstract

本发明公开了一种基于电阻值快速评价柳树品种耐盐性的方法,取每种待测柳树品种一年生粗度3‑5mm的枝条若干根,每根长度相同;测量每根枝条的中间粗度、枝条的初始含水量以及初始电阻值;然后将枝条浸入NaCl溶液中,在浸入2h、4h、6h、8h时拿出测定电阻值,并在浸入192h时拿出测定枝条的含水量、皮孔黑孔数和电导率值;采用基于初始电阻值的柳树耐盐分级评价模型进行分级。本方法操作方便,评价柳树品种耐盐性快捷且不受外界环境影响,可在10日内评价出待测样品的耐盐能力。

Description

一种基于电阻值快速评价柳树品种耐盐性的方法
技术领域
本发明专利属植物抗逆领域,具体涉及到柳树品种耐盐能力的快速鉴定评价方法。
背景技术
耐盐性是植物抗逆的主要性状,传统的耐盐性鉴定方法是将植株种植在盐土上,通过测定植株的成活率与生长状况进行评价,一般需要1年以上的时间才能评价出待测品种的耐盐能力,并且受外界环境的影响较大。柳树是杨柳科柳属和钻天柳属的总称,是重要的抗逆树种,在土壤重金属修复、盐碱地绿化、生物燃料等方面发挥着重要的作用,许多品种具有良好的耐盐性,一些品种的耐盐能力已超过4‰(极耐盐)。
发明内容
发明目的:针对上述现有技术,提出一种基于电阻值快速评价柳树品种耐盐性的方法,可快速鉴定柳树的耐盐能力。
技术方案:一种基于电阻值快速评价柳树品种耐盐性的方法,包括以下步骤:
取每种待测柳树品种一年生粗度3-5mm的枝条若干根,每根长度相同;测量每根枝条的中间粗度、枝条的初始含水量以及初始电阻值;然后将枝条浸入NaCl溶液中,在浸入2h、4h、6h、8h时拿出测定电阻值,并在浸入192h时拿出测定枝条的含水量、皮孔黑孔数和电导率值;对于每种待测品种,将各枝条的测定数据均取平均值后,采用基于初始电阻值的柳树耐盐分级评价模型进行分级:
当R0<200时,分级评价模型为:
Y=3.869[-0.124(X1-4.273)/0.396+0.229(X2-79.05)/14.214+0.258(X3-69.95)/7.338+0.238(X4-61.4)/5.236+0.176(X5-52.15)/4.87-0.207(X6-51.412)/3.196-0.043(X8-13.275)/7.347-0.072(X9-440.084)/240.969]2
根据评价值Y划分耐盐性为:
(a):0<Y≤1,待测柳树品种极耐盐;
(b):1<Y≤2,待测柳树品种较耐盐;
(c):2<Y≤3,待测柳树品种中度耐盐;
(d):Y>3,待测柳树品种敏盐。
当200≤R0<250时,分级评价模型为:
Y=[-0.276(X1-3.69)/0.271+0.231(X2-94.65)/7.795+0.485(X3-76.5)/7.578+0.422(X4-68.45)/8.062+0.456(X5-64.95)/5.246-0.371(X6-47.413)/3.146+0.119(X7-93.444)/0.408+0.159(X8-14.42)/4.383+0.268(X9-163.745)/97.068+1]2+[0.336(X1-3.69)/0.271-0.316(X2-94.65)/7.795+0.046(X3-76.5)/7.578+0.195(X4-68.45)/8.062+0.004(X5-64.95)/5.246-0.187(X6-47.413)/3.146+0.048(X7-93.444)/0.408+0.357(X8-14.42)/4.383-0.274(X9-163.745)/97.068+1]2
根据评价值Y划分耐盐性为:
(a):0<Y≤1,待测柳树品种极耐盐;
(b):1<Y≤5,待测柳树品种较耐盐;
(c):5<Y≤10,待测柳树品种中度耐盐;
(d):Y>10,待测柳树品种敏盐。
当R0≥250时,分级评价模型为:
Y=[-0.243(X1-3.565)/0.352+0.259(X2-108.15)/11.695+0.218(X3-81.55)/11.941+0.151(X4-70.5)/8.281+0.269(X5-71.55)/6.143-0.049(X6-44.88)/4.727-0.071(X7-93.093)/0.623+0.083(X8-12.39)/2.648-0.016(X9-164.428)/65.417]2+[0.141(X1-3.565)/0.352+0.01(X2-108.15)/11.695-0.22(X3-81.55)/11.941+0.577(X4-70.5)/8.281-0.081(X5-71.55)/6.143-0.272(X6-44.88)/4.727+0.339(X7-93.093)/0.623+0.405(X8-12.39)/2.648+0.49(X9-164.428)/65.417+2]2
根据评价值Y划分耐盐性为:
(a):0<Y≤1,待测柳树品种极耐盐;
(b):1<Y≤5,待测柳树品种较耐盐;
(c):5<Y≤10,待测柳树品种中度耐盐;
(d):Y>10,待测柳树品种敏盐。
其中:R0为初始电阻值;X1为中间粗度;X2为2h电阻值;X3为4h电阻值;X4为6h电阻值;X5为8h电阻值;X6为初始含水量;X7为192h含水量;X8为192h皮孔黑孔数;X9为192h电导率。
进一步的,所述NaCl溶液的浓度为100mM/L。
进一步的,所述电导率值测定方法为:将枝条用超纯水漂洗2次后吸干表面水分放入离心管,取50mL超纯水加入离心管中,枝条完全浸泡2小时后用数字电导率仪测定离心管中水的电导率值得到。
有益效果:本方法操作方便,评价柳树品种耐盐性快捷且不受外界环境影响,可在10日内评价出待测样品的耐盐能力。
具体实施方式
下面对本发明做更进一步的解释。
(1)取材与处理
取待测柳树品种一年生粗度3-5mm的枝条,每种处理取10根,每根8cm长,用游标卡尺测量每根的中间粗度,及枝条的初始含水量和初始电阻值;初始值均测定三次,取其平均值。再将枝条浸到100mM/L浓度的NaCl溶液中,间隔2、4、6、8h拿出各测定一次电阻值。在192h(8d)时测定枝条的含水量、皮孔黑孔数和电导率值。
(2)含水量测定
采用深圳市源恒通科技有限公司生产的YHT01水分测试仪,在“White PoplarKeruing”测试模式,将两个探测头插入枝条两端1mm读数。
(3)电阻值测定
采用南京金亦优仪表有限公司生产MF-47A内磁指针式机械万用表的电阻档,将两个探测头插入枝条两端1mm读数。
(4)皮孔黑孔数测定。
皮孔是枝条周皮形成的小开孔,是皮层的物质交换组织。盐胁迫下皮孔黑孔数量的多少意味着有多少皮孔组织可以与外界进行气体和水分等物质交换,本发明选取皮孔黑孔数作为耐盐性重要指标之一。皮孔黑孔数测定具体方法为:目测各枝条表皮在盐胁迫后产生皮孔黑点的数量值。
(5)电导率值
将枝条用超纯水漂洗2次后吸干表面水分放入离心管,取50mL超纯水加入离心管中,枝条完全浸泡2小时后用赛默飞世尔科技公司生产的Control 320C-06A数字电导率仪测定离心管中水的电导率值。
(6)对于每种待测品种,将各枝条的测定数据均取平均值后,采用基于初始电阻值(R0)的柳树耐盐分级评价模型进行分级,评价模型根据主成份聚类分析建立:
当R0<200时:
Y=3.869[-0.124(X1-4.273)/0.396+0.229(X2-79.05)/14.214+0.258(X3-69.95)/7.338+0.238(X4-61.4)/5.236+0.176(X5-52.15)/4.87-0.207(X6-51.412)/3.196-0.043(X8-13.275)/7.347-0.072(X9-440.084)/240.969]2(X7系数为0,未列入方程)
(a):0<Y≤1,待测柳树品种极耐盐(耐盐程度4‰以上质量浓度);
(b):1<Y≤2,待测柳树品种较耐盐(耐盐程度3‰∽4‰质量浓度);
(c):2<Y≤3,待测柳树品种中度耐盐(耐盐程度2‰∽3‰质量浓度);
(d):Y>3,待测柳树品种敏盐(耐盐程度2‰以下质量浓度)。
当200≤R0<250时:
Y=[-0.276(X1-3.69)/0.271+0.231(X2-94.65)/7.795+0.485(X3-76.5)/7.578+0.422(X4-68.45)/8.062+0.456(X5-64.95)/5.246-0.371(X6-47.413)/3.146+0.119(X7-93.444)/0.408+0.159(X8-14.42)/4.383+0.268(X9-163.745)/97.068+1]2+[0.336(X1-3.69)/0.271-0.316(X2-94.65)/7.795+0.046(X3-76.5)/7.578+0.195(X4-68.45)/8.062+0.004(X5-64.95)/5.246-0.187(X6-47.413)/3.146+0.048(X7-93.444)/0.408+0.357(X8-14.42)/4.383-0.274(X9-163.745)/97.068+1]2
(a):0<Y≤1,待测柳树品种极耐盐(耐盐程度4‰以上质量浓度);
(b):1<Y≤5,待测柳树品种较耐盐(耐盐程度3‰∽4‰质量浓度);
(c):5<Y≤10,待测柳树品种中度耐盐(耐盐程度2‰∽3‰质量浓度);
(d):Y>10,待测柳树品种敏盐(耐盐程度2‰以下质量浓度)。
当R0≥250时:
Y=[-0.243(X1-3.565)/0.352+0.259(X2-108.15)/11.695+0.218(X3-81.55)/11.941+0.151(X4-70.5)/8.281+0.269(X5-71.55)/6.143-0.049(X6-44.88)/4.727-0.071(X7-93.093)/0.623+0.083(X8-12.39)/2.648-0.016(X9-164.428)/65.417]2+[0.141(X1-3.565)/0.352+0.01(X2-108.15)/11.695-0.22(X3-81.55)/11.941+0.577(X4-70.5)/8.281-0.081(X5-71.55)/6.143-0.272(X6-44.88)/4.727+0.339(X7-93.093)/0.623+0.405(X8-12.39)/2.648+0.49(X9-164.428)/65.417+2]2
(a):0<Y≤1,待测柳树品种极耐盐(耐盐程度4‰以上质量浓度);
(b):1<Y≤5,待测柳树品种较耐盐(耐盐程度3‰∽4‰质量浓度);
(c):5<Y≤10,待测柳树品种中度耐盐(耐盐程度2‰∽3‰质量浓度);
(d):Y>10,待测柳树品种敏盐(耐盐程度2‰以下质量浓度)。
其中:
R0:初始电阻值(kΩ);X1:中间粗度(mm);X2:2h电阻值(kΩ);X3:4h电阻值(kΩ);X4:6h电阻值(kΩ);X5:8h电阻值(kΩ);X6:初始含水量(%);X7:192h含水量(%);X8:192h皮孔黑孔数(个);X9:192h电导率(μS/cm)。
运用本方法随机对一批柳树品种的耐盐性进行了评价,评价结果如表1所示,结果与种植在盐土一年以上的统计评价结果基本相符。
表1
Figure BDA0002632594300000051
本方法操作方便,评价柳树品种耐盐性快捷且不受外界环境影响,可在10日内评价出待测样品的耐盐能力。
以上所述仅是本发明的优选实施方式,应当指出,对于本技术领域的普通技术人员来说,在不脱离本发明原理的前提下,还可以做出若干改进和润饰,这些改进和润饰也应视为本发明的保护范围。

Claims (3)

1.一种基于电阻值快速评价柳树品种耐盐性的方法,其特征在于,包括以下步骤:
取每种待测柳树品种一年生粗度3-5mm的枝条若干根,每根长度相同;测量每根枝条的中间粗度、枝条的初始含水量以及初始电阻值;然后将枝条浸入NaCl溶液中,在浸入2h、4h、6h、8h时拿出测定电阻值,并在浸入192h时拿出测定枝条的含水量、皮孔黑孔数和电导率值;对于每种待测品种,将各枝条的测定数据均取平均值后,采用基于初始电阻值的柳树耐盐分级评价模型进行分级:
当R0<200时,分级评价模型为:
Y=3.869[-0.124(X1-4.273)/0.396+0.229(X2-79.05)/14.214+0.258(X3-69.95)/7.338+0.238(X4-61.4)/5.236+0.176(X5-52.15)/4.87-0.207(X6-51.412)/3.196-0.043(X8-13.275)/7.347-0.072(X9-440.084)/240.969]2
根据评价值Y划分耐盐性为:
(a):0<Y≤1,待测柳树品种极耐盐;
(b):1<Y≤2,待测柳树品种较耐盐;
(c):2<Y≤3,待测柳树品种中度耐盐;
(d):Y>3,待测柳树品种敏盐;
当200≤R0<250时,分级评价模型为:
Y=[-0.276(X1-3.69)/0.271+0.231(X2-94.65)/7.795+0.485(X3-76.5)/7.578+0.422(X4-68.45)/8.062+0.456(X5-64.95)/5.246-0.371(X6-47.413)/3.146+0.119(X7-93.444)/0.408+0.159(X8-14.42)/4.383+0.268(X9-163.745)/97.068+1]2+[0.336(X1-3.69)/0.271-0.316(X2-94.65)/7.795+0.046(X3-76.5)/7.578+0.195(X4-68.45)/8.062+0.004(X5-64.95)/5.246-0.187(X6-47.413)/3.146+0.048(X7-93.444)/0.408+0.357(X8-14.42)/4.383-0.274(X9-163.745)/97.068+1]2
根据评价值Y划分耐盐性为:
(a):0<Y≤1,待测柳树品种极耐盐;
(b):1<Y≤5,待测柳树品种较耐盐;
(c):5<Y≤10,待测柳树品种中度耐盐;
(d):Y>10,待测柳树品种敏盐;
当R0≥250时,分级评价模型为:
Y=[-0.243(X1-3.565)/0.352+0.259(X2-108.15)/11.695+0.218(X3-81.55)/11.941+0.151(X4-70.5)/8.281+0.269(X5-71.55)/6.143-0.049(X6-44.88)/4.727-0.071(X7-93.093)/0.623 +0.083(X8-12.39)/2.648-0.016(X9-164.428)/65.417]2+[0.141(X1-3.565)/0.352+0.01(X2-108.15)/11.695-0.22(X3-81.55)/11.941+0.577(X4-70.5)/8.281-0.081(X5-71.55)/6.143-0.272(X6-44.88)/4.727+0.339(X7-93.093)/0.623+0.405(X8-12.39)/2.648+0.49(X9-164.428)/65.417+2]2
根据评价值Y划分耐盐性为:
(a):0<Y≤1,待测柳树品种极耐盐;
(b):1<Y≤5,待测柳树品种较耐盐;
(c):5<Y≤10,待测柳树品种中度耐盐;
(d):Y>10,待测柳树品种敏盐;
其中:R0为初始电阻值;X1为中间粗度;X2为2h电阻值;X3为4h电阻值;X4为6h电阻值;X5为8h电阻值;X6为初始含水量;X7为192h含水量;X8为192h皮孔黑孔数;X9为192h电导率。
2.根据权利要求1所述的基于电阻值快速评价柳树品种耐盐性的方法,其特征在于,所述NaCl溶液的浓度为100mM/L。
3.根据权利要求1所述的基于电阻值快速评价柳树品种耐盐性的方法,其特征在于,所述电导率值测定方法为:将枝条用超纯水漂洗2次后吸干表面水分放入离心管,取50mL超纯水加入离心管中,枝条完全浸泡2小时后用数字电导率仪测定离心管中水的电导率值得到。
CN202010815719.6A 2020-08-14 2020-08-14 一种基于电阻值快速评价柳树品种耐盐性的方法 Active CN111855751B (zh)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010815719.6A CN111855751B (zh) 2020-08-14 2020-08-14 一种基于电阻值快速评价柳树品种耐盐性的方法

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010815719.6A CN111855751B (zh) 2020-08-14 2020-08-14 一种基于电阻值快速评价柳树品种耐盐性的方法

Publications (2)

Publication Number Publication Date
CN111855751A CN111855751A (zh) 2020-10-30
CN111855751B true CN111855751B (zh) 2021-02-19

Family

ID=72968941

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010815719.6A Active CN111855751B (zh) 2020-08-14 2020-08-14 一种基于电阻值快速评价柳树品种耐盐性的方法

Country Status (1)

Country Link
CN (1) CN111855751B (zh)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114062436B (zh) * 2021-10-28 2023-12-22 甘肃省农业科学院林果花卉研究所 果树休眠枝抗寒性比较方法

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103392405A (zh) * 2013-07-04 2013-11-20 甘肃农业大学 一种耐盐玉米自交系的简易筛选方法
CN104472059A (zh) * 2014-12-26 2015-04-01 江西省农业科学院 一种芦笋耐盐性的鉴定方法
CN104521474A (zh) * 2014-12-04 2015-04-22 中国农业科学院棉花研究所 一种棉花品种耐盐性筛选方法
CN105325192A (zh) * 2015-11-16 2016-02-17 江苏省农业科学院 一种豇豆苗期耐盐资源鉴定方法
CN107091862A (zh) * 2017-04-13 2017-08-25 西安理工大学 一种植物抗逆性的在位、无损伤鉴定装置和鉴定方法
CN108241043A (zh) * 2018-01-22 2018-07-03 山东省农业科学院作物研究所 一种甘薯苗期耐盐性的鉴定方法
CN109813844A (zh) * 2019-01-15 2019-05-28 大连大学 一种鉴定和评价蓝莓耐盐性的方法
CN110121978A (zh) * 2019-06-04 2019-08-16 青岛农业大学 一种不同小麦品种发芽期耐盐性的鉴定方法
CN111024667A (zh) * 2019-12-25 2020-04-17 中国林业科学研究院 一种高通量快速评价和/或筛选耐盐碱植物的方法

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103392405A (zh) * 2013-07-04 2013-11-20 甘肃农业大学 一种耐盐玉米自交系的简易筛选方法
CN104521474A (zh) * 2014-12-04 2015-04-22 中国农业科学院棉花研究所 一种棉花品种耐盐性筛选方法
CN104472059A (zh) * 2014-12-26 2015-04-01 江西省农业科学院 一种芦笋耐盐性的鉴定方法
CN105325192A (zh) * 2015-11-16 2016-02-17 江苏省农业科学院 一种豇豆苗期耐盐资源鉴定方法
CN107091862A (zh) * 2017-04-13 2017-08-25 西安理工大学 一种植物抗逆性的在位、无损伤鉴定装置和鉴定方法
CN108241043A (zh) * 2018-01-22 2018-07-03 山东省农业科学院作物研究所 一种甘薯苗期耐盐性的鉴定方法
CN109813844A (zh) * 2019-01-15 2019-05-28 大连大学 一种鉴定和评价蓝莓耐盐性的方法
CN110121978A (zh) * 2019-06-04 2019-08-16 青岛农业大学 一种不同小麦品种发芽期耐盐性的鉴定方法
CN111024667A (zh) * 2019-12-25 2020-04-17 中国林业科学研究院 一种高通量快速评价和/或筛选耐盐碱植物的方法

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
15 种柳树苗期耐盐性评价;郭聪等;《上海农业学报》;20200211;第36卷(第2期);66-71 *

Also Published As

Publication number Publication date
CN111855751A (zh) 2020-10-30

Similar Documents

Publication Publication Date Title
Liu et al. Reconstruction of May–July precipitation in the north Helan Mountain, Inner Mongolia since AD 1726 from tree-ring late-wood widths
Ostonen et al. The role of soil conditions in fine root ecomorphology in Norway spruce (Picea abies (L.) Karst.)
Correia et al. Variations in growth, survival and carbon isotope composition (δ13C) among Pinus pinaster populations of different geographic origins
Thursby et al. A rapid, non-destructive method for estimating aboveground biomass of salt marsh grasses
Wang et al. Anatomical changes with needle length are correlated with leaf structural and physiological traits across five Pinus species
Yáñez-Espinosa et al. Effects of flooding on wood and bark anatomy of four species in a mangrove forest community
Escos et al. Stress resistance strategy in an arid land shrub: interactions between developmental instability and fractal dimension
Linderholm et al. Age-dependent climate sensitivity of Pinus sylvestris L. in the central Scandinavian Mountains
CN111855751B (zh) 一种基于电阻值快速评价柳树品种耐盐性的方法
Yamaguchi et al. Influences of epidermal cell sizes and flesh firmness on cracking susceptibility in sweet cherry (Prunus avium L.) cultivars and selections
CN111487291B (zh) 基于电子鼻检测技术高效评价桃花芽需冷量的方法
CN107748233B (zh) 一种快速定量检测植物抗盐能力的方法
Fernandez et al. Adaptability to climate change in forestry species: drought effects on growth and wood anatomy of ponderosa pines growing at different competition levels
CN110261441A (zh) 一种快速检测烟草种子活力的方法
February Sensitivity of xylem vessel size and frequency to rainfall and temperature: implications for palaeontology
Cedro et al. The last hundred years Dendroecology of Scots pine (Pinus sylvestris L.) on a Baltic bog in Northern Poland: Human Impact and Hydrological changes
Todd Relative turgidity as an indicator of drouth stress in cereal plants
CN111289695B (zh) 穴盘苗壮苗评价方法
CN112613778A (zh) 一种红树林种植工程修复效果的评估方法
CN109272184B (zh) 一种湿地质量判断方法
Campbell et al. A comparison of habitat type and elevation for seed-zone classification of Douglas-fir in western Oregon
Banifatemeh et al. Comparison of Correlations between Soil Physicochemical Properties and Diversity-Density of Soil Macrofauna in Juniper and Amygdalus Stands During the Growing and Resting Season (Case Study: Geno Protected Area, Hormozgan Province, Iran).
Miller-Myers et al. Development and use of an epiphyte photo-index (EPI) for assessing epiphyte loadings on the seagrass Halodule wrightii
Kaliniewicz Variation and correlation between the physical properties of dogwood seeds
Bao et al. Spatial variability in greenhouse gas fluxes of a temperate freshwater marsh in China: effects of soil moisture, animal activities and land use.

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant