[1]刘猷红,董文军,何珊,等.186份寒地粳稻种质资源数量性状遗传多样性分析与评价[J].江苏农业学报,2026,42(05):876-886.[doi:doi:10.3969/j.issn.1000-4440.2026.05.002]
 LIU Youhong,DONG Wenjun,HE Shan,et al.Genetic diversity analysis and evaluation of quantitative traits in 186 cold-region japonica rice germplasm resources[J].,2026,42(05):876-886.[doi:doi:10.3969/j.issn.1000-4440.2026.05.002]
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186份寒地粳稻种质资源数量性状遗传多样性分析与评价()

江苏农业学报[ISSN:1006-6977/CN:61-1281/TN]

卷:
42
期数:
2026年05期
页码:
876-886
栏目:
遗传育种·生理生化
出版日期:
2026-05-31

文章信息/Info

Title:
Genetic diversity analysis and evaluation of quantitative traits in 186 cold-region japonica rice germplasm resources
作者:
刘猷红123董文军123何珊1孟英123张喜娟123刘凯34冷春旭5唐傲13商全玉36
(1.黑龙江省农业科学院耕作栽培研究所,黑龙江哈尔滨150028;2.黑龙江省农业科学院博士后科研工作站,黑龙江哈尔滨150086;3.国家耐盐碱水稻技术创新中心东北中心,黑龙江哈尔滨150086;4.黑龙江省农业科学院,黑龙江哈尔滨150086;5.黑龙江省农业科学院生物技术研究所,黑龙江哈尔滨150028;6.黑龙江省农业科学院黑河分院,黑龙江黑河164300)
Author(s):
LIU Youhong123DONG Wenjun123HE Shan1MENG Ying123ZHANG Xijuan123LIU Kai34LENG Chunxu5TANG Ao13SHANG Quanyu36
(1.Institute of Crop Tillage and Cultivation, Heilongjiang Academy of Agricultural Sciences, Harbin 150028, China;2.Postdoctoral Scientific Research Station of Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China;3.Northeast Center of National Salt and Alkali Tolerant Rice Technology Innovation Center, Harbin 150086, China;4.Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China;5.Biotechnology Research Institute of Heilongjiang Academy of Agricultural Sciences, Harbin 150028, China;6.Heihe Branch of Heilongjiang Academy of Agricultural Sciences, Heihe 164300, China)
关键词:
寒地粳稻种质资源数量性状遗传多样性
Keywords:
cold-region japonica ricegermplasm resourcesquantitative traitsgenetic diversity
分类号:
S511.2+2;S324
DOI:
doi:10.3969/j.issn.1000-4440.2026.05.002
文献标志码:
A
摘要:
为系统评价寒地粳稻种质资源数量性状的遗传多样性,明确性状间的相关性,为水稻优良品种筛选及亲本选配提供理论依据,以186份寒地粳稻种质资源为供试材料,通过数量遗传学与多元统计分析方法对19个数量性状进行综合评价。结果表明,19个数量性状均存在丰富的遗传变异,变异系数介于1.24%~75.73%,垩白粒率的变异系数最大,糙米率的变异系数最小。相关性分析结果表明,株高与其他18个性状呈显著或极显著相关,表现出较强的多效性;产量与穗数、穗长、穗粒数及食味值呈极显著正相关;食味值与整精米率、直链淀粉含量呈极显著正相关,与垩白粒率、垩白度呈极显著负相关。聚类分析将186份水稻种质分为4个类群,类群Ⅰ占比最高且蛋白质含量平均值最高,食味值最低;类群Ⅱ穗数、结实率、千粒重等产量因子优势明显;类群Ⅲ占比最低,株高、穗长、穗粒数、产量、食味值及粒型性状(谷粒长宽比、谷粒长、精米长宽比、精米长)平均值最高;类群Ⅳ整精米率、垩白粒率、垩白度平均值最高。主成分分析提取的前6个主成分累计贡献率达85.233%,分别反映粒型、蒸煮食味品质、加工品质、外观品质、穗粒结构和粒重特性。基于综合评价结果筛选出中科804、中科发5、东富105等10份综合性状优异的种质。本研究结果为中国寒地稻区优良粳稻品种的筛选及亲本配制提供了理论依据和材料支撑,对推动粳稻新品种的选育具有重要参考价值。
Abstract:
To systematically evaluate the genetic diversity of quantitative traits in cold-region japonica rice germplasm resources and clarify trait relationships to provide theoretical basis for excellent germplasm resource selection and parental combination, a total of 186 cold-region japonica rice germplasm resources were analyzed for 19 quantitative traits using quantitative genetics and multivariate statistical methods. The results indicated that all 19 traits exhibited abundant genetic variation, with coefficient of variation (CV) ranging from 1.24% to 75.73%. Chalky grain rate showed the highest CV, while brown rice rate showed the lowest CV. Correlation analysis revealed that plant height was significantly or extremely significantly correlated with the other 18 traits, demonstrating strong pleiotropy. Yield was extremely significantly positively correlated with panicle number, panicle length, growth number per panicle and taste value. Taste value was extremely significantly positively correlated with head rice rate and amylose starch content, but was extremely significantly negatively correlated with chalky grain rate and chalkiness degree. Cluster analysis classified the 186 rice germplasm resources into four groups: group Ⅰ had the highest proportion and exhibited the highest protein content and the lowest taste value; group Ⅱ showed advantages in panicle number, seed setting rate and 1 000-grain weight; group Ⅲ displayed the lowest proportion and the highest mean values of plant height, panicle length, grain number per panicle, yield, taste value and grain shape traits (grain length-width ratio, grain length, milled rice length-width ratio, milled rice length); group Ⅳ had the highest head rice rate, chalky grain rate and chalkiness degree. Principal component analysis extracted six principal components with cumulative contribution of 85.233%, representing grain shape, cooking and eating quality, milling quality, appearance quality, panicle structure and grain weight, respectively. Ten excellent germplasm resource including Zhongke 804, Zhongkefa 5 and Dongfu 105 were identified through comprehensive evaluation. This study provides theoretical foundation and germplasm support for breeding superior japonica rice varieties in cold-region rice area of China, and has important reference value for promoting the breeding of new japonica rice varieties.

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备注/Memo

备注/Memo:
收稿日期:2025-12-22基金项目:黑龙江省自然科学基金项目(LH2023C098);黑龙江省重点研发计划项目(GA23B002);黑龙江省种业创新发展项目(2024HZYCXNK01);黑龙江省博士后科学基金项目(LBH-Z22266);黑龙江省农业科技创新跨越工程农业科技基础创新优青项目(CX22YQ07)作者简介:刘猷红(1985-),男,汉族,江西赣州人,博士,副研究员,主要研究方向为水稻遗传育种。(Tel)0451-51127890;(E-mail)liuyouhong1011@126.com通讯作者:唐傲,(E-mail)neweric@126.com;商全玉,(E-mail)shangquanyu11@163.com
更新日期/Last Update: 2026-06-17