登录    注册    忘记密码

详细信息

基于SAS PROC MIXED的印楝品种印楝素质量分数稳定性    

Stability of azadirachtin contents in neem cultivars based on SAS PROC MIXED

文献类型:期刊文献

中文题名:基于SAS PROC MIXED的印楝品种印楝素质量分数稳定性

英文题名:Stability of azadirachtin contents in neem cultivars based on SAS PROC MIXED

作者:彭俊杰[1,2] 吴疆翀[1] 彭兴民[1] 李昆[1] 王有琼[1] 郑益兴[1] 张燕平[1]

第一作者:彭俊杰

机构:[1]中国林业科学研究院资源昆虫研究所,云南昆明650224;[2]易三仓大学商学院,曼谷10240,泰国

年份:2019

卷号:36

期号:4

起止页码:713-722

中文期刊名:浙江农林大学学报

外文期刊名:Journal of Zhejiang A & F University

收录:CSTPCD;;北大核心:【北大核心2017】;CSCD:【CSCD2019_2020】;

基金:“十三五”国家重点研发计划项目(2017YFC0505101);国家自然科学基金资助项目(31500515,31770669)

语种:中文

中文关键词:林木育种学;印楝;品种;印楝素;稳定性;模型;机制

外文关键词:forest tree breeding;neem(Azadirachta indica);cultivars;azadirachtin;stability;models;mechanisms

分类号:S722.5;S759.3

摘要:基于SAS PROC MIXED的印楝Azadirachta indica品种印楝素质量分数的稳定性,探索建立高效、科学的印楝品种印楝素质量分数稳定性的分析方法,探究稳定性类型和机制。在元阳、元江、元谋,7个印楝品种、单株小区、三重复、完全随机区组、多系受粉,运用HPLC技术分析种子印楝素组分质量分数,基于SAS软件PROC MIXED程序的Stability Variance,Finlay-Wilkinson,Eberhart-Russell,AMMI-1和Environmental Variance 5种模型,进行品种种子印楝素质量分数稳定性参数估计、品种效应差异性检验和稳定性参数寻优,用Akaike信息量准则(cAIC)评价和选择最佳模型,推断稳定性类型和机制。结果表明:5种模型中Finlay-Wilkinson和AMMI-1模型的品种印楝素A和印楝素B质量分数的cAIC值最小,均分别为-17.3和-5.8;7个品种的印楝素A和印楝素B质量分数的稳定性参数大小基本一致,稳定性排序分别为Wx0423>Wx0416>Dhg0507>平均木(ck)>At0515>Ld0505>Ww0401和平均木(ck)>Wx0416>Wx0423>Dhg0507>Ld0505>Ww0401>At0515;品种印楝素A和印楝素B质量分数的品种效应差异显著性分别为极显著(P<0.01)和显著(P<0.05),证明品种印楝素A和印楝素B的稳定性随环境条件的变化会发生可预测的改变即动态稳定性,其遗传机制受遗传控制。Finlay-Wilkinson和AMMI-1适于印楝品种种子印楝素质量分数稳定性分析,而Stability Variance,Eberhart-Russell,Environmental Variance模型并不适用;品种印楝素A和印楝素B质量分数的稳定性均为动态稳定性,稳定性绝大部分依赖于个体缓冲性。多种模型分析基础上的稳定性综合评估更高效更科学。
The analysis method, type, and mechanism of the stability of azadirachtin content in neem (Azadirachta indica) cultivars were discussed in order to explores the methods to establish the stability analysis of the quality and quantity fraction of neem cultivars, and probes into the stability types and mechanisms. Based on data obtained from the mass fraction of azadirachtin in seven neem clonal seeds, the effects of five analytical models (Stability Variance, Finlay-Wilkinson, Eberhart-Russell, AMMI-1, and Environmental Variance) from the stability assessment of azadirachtin components were compared using a SAS PROC MIXED procedure. An Akaike Information Criterion (cAIC) of maximum likelihood value was also conducted to evaluate and select the optimal model and to deduce stability types and mechanisms. Seeds were collected from 6 superior cultivars (Ld0505, At0515, Ww0401, Dhg0507, Wx0423, Wx0416)of pesticide type neem and average neem (ck), and the experiment was designed with random complete block design, with 7 cultivars being one plot and 3 repetitions (plants spacing 4 m × 4 m), and then azadirachtin concentrations in seed kernels were tested. The results showed that the cAIC values of azadirachtin A and azadirachtin B of Finlay-Wilkinson and AMMI-1 models were the minimum, respectively -17.3 and -5.8. The stability parameters of the mass fraction of azadirachtin A and azadirachtin B were basically the same, and the stability sequencing was Wx0423>Wx0416>Dhg507>average wood (ck)>At0515>Ld0505>Ww0401 and average wood (ck)>Wx0416>Wx0423>Dhg0507>Ld0505>Ww0401>At0515. The significant difference in effect between azadirachtin A and azadirachtin B was extremely significant (P<0.01) and significant (P<0.05), respectively. It was proved that the stability of azadirachtin A and azadirachtin B would change predictably with the change of environmental conditions, namely dynamic stability, and their genetic mechanism was controlled by heredity. Finlay-Wilkinson and AMMI-1 are suitable for the Stability analysis of the quality quantity fraction of neem seeds, while the Stability Variance, Eberhart-Russell and Environmental Variance models are not applicable. The stability of azadirachtin A and azadirachtin B was dynamic, and the stability was mostly dependent on individual buffering. The comprehensive evaluation of stability based on multi-model analysis is more efficient.

参考文献:

正在载入数据...

版权所有©中国林业科学研究院 重庆维普资讯有限公司 渝B2-20050021-8 
渝公网安备 50019002500408号 违法和不良信息举报中心