| 张 越 1,2，张艺璇 1,2，奎丽梅 2，刘鹏飞 3，胡茂林 4，涂 建 2，杨丽萍 2，李小林 2，谷安宇 2.水稻种子活力综合评价模型的建立[J].广东农业科学,2023,50(12):172-183 |
|
查看全文
HTML
水稻种子活力综合评价模型的建立 |
| Establishment of a Comprehensive Evaluation Model for Rice Seed Vigor |
| |
| DOI：10.16768/j.issn.1004-874X.2023.12.017 |
| 中文关键词: 水稻 种子活力 氧传感技术 主成分分析 隶属函数 综合评价 |
| 英文关键词: rice seed vitality oxygen sensing technology principal component analysis membership function analysis comprehensive evaluation |
| 基金项目:国家水稻产业技术体系专项（CARS-01-83）； 云南省生物种业和农产品精深加工专项（202302AE090001）；云南省重大科技专项（202102AE090016） |
|
| 摘要点击次数: 515 |
| 全文下载次数: 596 |
| 中文摘要: |
| 【目的】建立水稻种子活力的数学评价模型 D(x)，旨在为水稻种子活力性状评价、鉴定和遗传改良提供参考。【方法】以 25 份水稻种子为试验材料，通过标准发芽试验、四唑染色鉴定、模拟田间试验和 Q2技术测定水稻种子的多项指标，利用主成分分析结合隶属函数法和多元线性回归对这些指标进行分析，建立种子活力的数学评价模型 D(x)。利用该模型评价不同栽培密度对水稻种子活力的影响。【结果】籼稻的发芽势、发芽率、7 d 芽长、百株鲜质量、田间芽长、田间根长、初始代谢速率（SMR）、萌发启动时间（IMT）、理论萌发时间（RGT）及四唑染色率等指标的平均值均高于粳稻，而 7 d 根长、百株干质量、萌发氧气消耗速率（OMR）的平均值略低于粳稻。在 Q2 检测中，粳稻的 IMT 值、RGT 值等指标则较优。对 13 个水稻种子活力指标进行相关性分析发现，各指标间存在不同程度的相关性，Q2 检测中的 SMR 值与 IMT 值、OMR 值、RGT 值及百株干质量极显著相关，与田间芽长显著相关；OMR 值与 SMR 值、IMT 值、RGT 值极显著相关，与发芽势显著相关。通过逐步回归建立了种子活力综合评价预测模型Y(x)=0.693+0.003X1-0.006X2-0.127X6-0.004X8+0.234X9（R2=0.94），用这 5 个指标得到的活力预测值（Y）与田间出苗率在参试材料之间的次序基本一致，且两者高度相关（r=0.83），说明用该回归方程可有效预测水稻种子活力。【结论】可选择发芽势、发芽率、百株干质量、OMR 值和 IMT 值这 5 个单项指标作为评价种子活力的依据。 |
| 英文摘要: |
| 【Objective】A mathematical evaluation model, D(x), was established to provide a reference for the evaluation, identification and genetic improvement of seed vitality traits in rice.【Method】Taking 25 rice seeds as materials, multiple indexes were determined through standard germination experiment, tetrazolium staining identification, field simulation experiment and Q2 technology, and these indexes were analyzed by principal component analysis combined with membership function method and multiple linear regression, to establish the mathematical evaluation model for seed vitality, D(x). And the D(x) model was used to evaluate the influence of different cultivation densities on rice seed vitality.【Result】The results showed that the average values of germination vigor, germination rate, 7-day bud length, hundred-seed fresh weight, field bud length, field root length, starting metabolism rate (SMR) , increased motabolism time (IMT) , relative germination time (RGT) , and tetrazolium staining rate of indica rice were all higher than those of japonica rice. However, only the average values of 7-day root length, hundred-seed dry weight, and oxygen metabolism rate (OMR) of indica rice were slightly lower than those of japonica rice. In the Q2 test, japonica rice exhibited better performance in IMT value, RGT value, and other indicators. Correlation analysis of 13 rice seed vitality indexes revealed varying degrees of correlations among them. In the Q2 test, SMR value was extremely significantly correlated with IMT value, OMR value, RGT value, and hundred-seed dry weight, and significantly correlated with field bud length. OMR value was extremely significantly correlated with SMR value, IMT value, RGT value, and significantly correlated with germination vigor. A seed vitality comprehensive mathematical evaluation model Y(x) = 0.693+0.003X1-0.006X2-0.127X6-0.004X8+0.234X9 (R2=0.94) was established through stepwise regression. The predicted vitality values (Y) obtained from these five indexes were in close agreement with the order of field emergence rate among the tested materials, and they were highly correlated (r=0.83), indicating that this regression equation could effectively predict rice seed vitality.【Conclusion】Five individual indexes, namely, germination vigor, germination rate, hundred-seed dry weight, oxygen metabolism rate (OMR) and germination initiation time (IMT) could be selected as the basis for the evaluation of seed vitality. |
|
查看/发表评论 下载PDF阅读器 |
|
|
|
