寒地水稻分蘖期耐盐碱性筛选与评价

Screening and evaluation of salt and alkali tolerance of rice at tillering stage in cold regions

  • 摘要: 【目的】筛选与水稻耐盐碱性相关的指标,对寒地水稻种质资源的耐盐碱性进行筛选与评价,为选育优良的耐盐碱水稻品种提供理论依据。【方法】以苗期种植筛选出的较耐盐碱的17份水稻品种为研究对象,分别采用苏打盐碱土(盐碱胁迫处理)和草甸黑钙土(对照)进行盆栽种植,并于分蘖期调查水稻根长度、根表面积、根体积、根直径、根尖数、根干重、茎数、株高、叶面积和地上干物重等10项指标。运用主成分分析法、聚类分析、相关分析及BP神经网络和回归分析验证其合理性。【结果】盐碱胁迫条件下,17个参试材料10项形态指标的耐盐碱系数范围在0.19~1.00,平均值为0.68。利用主成分分析法将盐碱胁迫下10个单项指标转化为3个彼此独立的综合指标,累计方差贡献率达85.44%。通过对隶属函数值及权重进行计算得到各参试材料的综合耐盐碱值(D值),依据D值得到各参试材料的综合耐盐碱性排序:L14(松粳18)> L15(龙粳24)> L12(龙粳48)> L17(白粳1号)> L06(空育131)> L05(垦粳8号)> L03(绥粳21)> L16(东稻4)> L09(龙粳42)> L11(绥粳17)> L10(龙稻9号)> L13(龙粳27)> L02(莹稻2号)> L07(松98-131)> L08(东农428)> L01(齐粳10号)> L04(长白9号)。通过聚类分析将17份材料分为四大类:第一类为强耐盐碱型,仅包含松粳18;第二类为耐盐碱型,包括垦粳8号、空育131、白粳1号、龙粳48和龙粳24共5份材料;第三类为敏感型,包括绥粳21、龙粳42、东稻4和绥粳17共4份材料;第四类为强敏感型,包括齐粳10号、长白9号、莹稻2号、松98-131、龙粳27、龙稻9号和东农428共7份材料。基于各指标对综合耐盐碱值的相关分析结果,以及回归分析、BP神经网络对其适宜性的验证,得到根长度、根表面积、根体积、根尖数、根干重和茎数6项指标可作为水稻分蘖期耐盐碱性评价指标。【结论】17份参试材料中松粳18为强耐盐碱种质资源,根长度、根表面积、根体积、根尖数、根干重和茎数6项指标可作为寒地水稻分蘖期耐盐碱性的评价指标。

     

    Abstract: 【Objective】Screening indicators related to the salt and alkali tolerance of rice, screening and evaluating the salt and alkali tolerance of rice germplasm resources in cold regions, to provide theoretical basis for the selection of excellent salt and alkali tolerance rice varieties.【Method】The 17 rice varieties that were selected at the seedling stage to be salt-tolerant were selected as the research objects.Soda saline soil(salt-alkali stress) and meadow chernozem soil(control) were used for pot planting, and the rice was investigated at the tillering stage.Ten indicators such as root length, root surface area, root volume, root diameter, root tip number, root dry weight, stem number, plant height, leaf area, and ground dry weight were measured.Principal component analysis, cluster analysis, correlation analysis, BP neural network and regression analysis wereused to verify its rationality.【Result】Alkaline tolerance coefficient ranged from 0.19 to 1.00 for 10 morphological indexes of 17 materials under saline-alkali stress, with an average value of 0.68.The principal component analysis method was used to transform 10 individual indicators under saline-alkali stress into 3 independent comprehensive indicators, and the cumulative contribution rate reached 85.44%.The calculated comprehensive salt-alkali resistance value(D value) was obtained by calculating the membership function value and weight, and then the comprehensive salt-alkali resistance of the test materials was sorted from strong to weak according to D value.L14(Songjing 18) > L15(Songjing 24) > L12(Longjing 48) > L17(Baijing 1) > L06(Kongyu 131) > L05(Kenjing 8) > L03(Suijing 21) > L16(Dongdao 4) > L09(Longjing 42) > L11(Suijing 17) > L10(Longdao 9) > L13(Longjing 27) > L02(Yingdao 2) > L07(Song 98-131) > L08(Dongnong 428) > L01(Qijing 10) > L04(Changbai 9).The 17 materials were divided into four categories by cluster analysis, group 1 was variety with the strongest salt-alkali resistance and only contained Songjing 18;group 2 was salt-alkali resistant type and contained Kenjing 8, Kongyu 131, Baijing 1, Longjing 48 and Longjing 24;group 3 was sensitive type contained Suijing 21, Longjing 42, Dongdao 4 and Suijing 17;group 4 was highly sensitive type contained Qijing 10, Changbai 9, Yingdao 2, Song 98-131, Longjing 27, Longdao 9 and Dongnong 428.Based on the correlation analysis results of the indexes on the comprehensive salt-tolerant value, as well as the verification of its suitability by regression analysis and BP neural network, six indexes of root length, root surface area, root volume, root tip number, root dry weight and stem number could be indexes for evaluating the salt and alkali tolerance of rice at tillering stage.【Conclusion】Songjing 18 is a germplasm resource with strong salt-alkali tolerance among the 17 tested materials.The six indicators of root length, root surface area, root volume, root tip number, root dry weight and stem number can be used as salt-alkali tolerance evaluation indexes for rice at tillering stage in cold regions.

     

/

返回文章
返回