基于HalfsibBV的大叶榉树家系遗传参数估算与综合选择
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摘要
【目的】对来自浙江、江苏、云南和湖南4个大叶榉(Zelkova schneideriana)产地引进的21个大叶榉树家系进行子代测定,研究家系生长性状的遗传变异规律,估算遗传参数,筛选大叶榉树优良家系和单株。【方法】采用多重比较法、综合指数法,结合整齐度指标的联合选择方法进行优良家系筛选,并采用混合线性模型(generalized linear mixed models,GLMM),以及HalfsibBV程序包计算相应的遗传参数,包括遗传力、遗传相关系数、家系及子代个体育种值。【结果】7年生大叶榉树胸径、树高、枝下高、冠幅和材积的表型变幅分别为6.8～9.5 cm、4.7～7.1 m、1.4～2.1 m、3.0～4.2 m和0.008 2～0.020 6 m~3,家系遗传力为0.73～0.87,单株遗传力为0.370～0.817,遗传变异系数为8.35%～24.13%。相关分析表明,除枝下高与调查性状呈中度相关外,其他性状间均为极显著正相关。以30%为入选率,共有8个家系入选,为云10、云15、苏02、苏05、苏14、苏15、湘02和浙07。引入整齐度作为辅助筛选指标,生长性状优良兼顾满足胸径、树高和冠幅整齐度均达80%以上的家系为云10、苏02和苏05。根据育种值选择家系结果与综合选择结果趋势一致,选出来自14个家系的65个优良单株。【结论】大叶榉树各性状在家系间呈极显著差异,家系选育具有很大潜力。采用HalfsibBV软件、综合指数法,结合整齐度指标的联合选择方法可以选出一部分生长优良且一致性高的家系。HalfsibBV软件包可以作为选择优良家系和单株的有效工具。
【Objective】This study was conducted to analyze the genetic variation and parameters of the growth characteristics of Zelkova schneideriana, based on a progeny test containing 21 families from 4 producing origins in Zhejiang, Jiangsu, Yunnan and Hunan. Superior families and individuals were also selected during this research. 【Method】In this study, the integrated selection method of multiple comparisons and a comprehensive index, combined with a regularity index, was used to select superior families. Generalized linear mixed models and the HalfsibBV package were used to calculate the genetic parameters such as the heritability, genetic correlation coefficient, and breeding values of the families and individuals. 【Result】The variation of the diameter at breast height(DBH), height, height under branch(HUB), crown and volume in 7-year-old trees were 6.8 to 9.5 cm, 4.7 to 7.1 m, 1.4 to 2.1 m,3.0 to 4.2 m and 0.008 2 to 0.020 6 m~3, respectively. The family heritabilities ranged from 0.73 to 0.87, whereas the individual heritabilities ranged from 0.370 to 0.817, and the genetic variation coefficients ranged from 8.35% to 24.13%. The correlation analysis showed that only the HUB was moderately correlated with the investigated traits, while all other growth traits were significantly positively correlated with each other. Eight families were selected, with 30% as the selection rate; these were Y10, Y15, S02, S05, S14, S15, X02 and Z07. With the introduction of the regularity degree as the auxiliary screening index, the families with excellent growth characters, which could meet the requirement of DBH, height, and crown of more than 80%, were Y10, S02 and S05. Family selection, based on the breeding values, was consistent with the trend of the integrated selection results. Sixty-five superior individuals from 14 families were selected according to the individual breeding values. 【Conclusion】The characteristics of Z. schneideriana were significantly different from each other at the family level, with the family selection having great potential. Some families with good growth and a high consistency can be selected by the combined selection method of HalfsibBV software, a comprehensive index, and a uniformity index. The HalfsibBV software package can be used as an effective tool to select excellent families and individuals.
【Objective】This study was conducted to analyze the genetic variation and parameters of the growth characteristics of Zelkova schneideriana, based on a progeny test containing 21 families from 4 producing origins in Zhejiang, Jiangsu, Yunnan and Hunan. Superior families and individuals were also selected during this research. 【Method】In this study, the integrated selection method of multiple comparisons and a comprehensive index, combined with a regularity index, was used to select superior families. Generalized linear mixed models and the HalfsibBV package were used to calculate the genetic parameters such as the heritability, genetic correlation coefficient, and breeding values of the families and individuals. 【Result】The variation of the diameter at breast height(DBH), height, height under branch(HUB), crown and volume in 7-year-old trees were 6.8 to 9.5 cm, 4.7 to 7.1 m, 1.4 to 2.1 m,3.0 to 4.2 m and 0.008 2 to 0.020 6 m~3, respectively. The family heritabilities ranged from 0.73 to 0.87, whereas the individual heritabilities ranged from 0.370 to 0.817, and the genetic variation coefficients ranged from 8.35% to 24.13%. The correlation analysis showed that only the HUB was moderately correlated with the investigated traits, while all other growth traits were significantly positively correlated with each other. Eight families were selected, with 30% as the selection rate; these were Y10, Y15, S02, S05, S14, S15, X02 and Z07. With the introduction of the regularity degree as the auxiliary screening index, the families with excellent growth characters, which could meet the requirement of DBH, height, and crown of more than 80%, were Y10, S02 and S05. Family selection, based on the breeding values, was consistent with the trend of the integrated selection results. Sixty-five superior individuals from 14 families were selected according to the individual breeding values. 【Conclusion】The characteristics of Z. schneideriana were significantly different from each other at the family level, with the family selection having great potential. Some families with good growth and a high consistency can be selected by the combined selection method of HalfsibBV software, a comprehensive index, and a uniformity index. The HalfsibBV software package can be used as an effective tool to select excellent families and individuals.
引文
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[7] 金晓玲,汪晓丽,刘雪梅,等.榉树新品种‘恨天高’[J].林业科学,2016,52(4):147-147.DOI:10.11707/j.1001-7488.20160418.JIN X L,WANG X L,LIU X M,et al.A new variety of Zelkova schneideriana ‘Hen Tian Gao’[J].Scientia Silvae Sinicae,2016,52(4):147-147.
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[12] 王福德,翁海龙,周显昌.红皮云杉优良家系选择方法的研究[J].林业科技,2017,42(1):30-31,34.DOI:10.3969/j.issn.1001-9499.2017.01.010.WANG F D,WENG H L,ZHOU X C.Selection methods of superior families of Picea koraiensis[J].Forestry Science & Technology,2017,42(1):30-31,34.
[13] 俸春姣.红锥优质种源及良种家系选育研究[D].长沙:中南林业科技大学,2014.FENG C J.The research on superior provenances and families selection of Castanponsis hystrix[D].Changsha:Central South University of Forestry & Technology,2014.
[14] 吴世军,陈广超,徐建民,等.滇南亚高山巨桉种源/家系变异及早期选择研究[J].热带亚热带植物学报,2017,25(3):257-263.DOI:10.11926/jtsb.3692.WU S J,CHEN G C,XU J M,et al.Variation analysis and early selection for Eucalyptus grandis provenances/families in central south Yunnan Province[J].Journal of Tropical & Subtropical Botany,2017,25(3):257-263.
[15] 刘勋成.榉树遗传多样性的ISSR分析[D].昆明:西南林学院,2005.LIU X C.Analysis of genetic diversity in Zelkova schneideriana by ISSR marks[D].Kunming:Southwest Forestry University,2005.
[16] 李婷婷,朱锦茹,邱帅,等.基于CE-SRAP标记的榉树优良单株指纹图谱构建[J].植物遗传资源学报,2016,17(1):169-176.DOI:10.13430/j.cnki.jpgr.2016.01.025.LI T T,ZHU J R,QIU S,et al.Fingerprinting construction for superior individuals of Zelkova schneideriana based on CE-SRAP[J].Journal of Plant Genetic Resources,2016,17(1):169-176.
[17] 孙晓梅,杨秀艳.林木育种值预测方法的应用与分析[J].北京林业大学学报,2011,33(2):65-71.SUN X M,YANG X Y.Applications and analysis of methods for breeding value prediction in forest trees[J].Journal of Beijing Forestry University,2011,33(2):65-71.
[2] 曹娴,罗玉兰,崔心红,等.榉树遗传变异分析及优良单株选择[J].上海交通大学学报(农业科学版),2010,28(6):499-503.DOI:10.3969/j.issn.1671-9964.2010.06.003.CAO X,LUO Y L,CUI X H,et al.Analysis of genetic variation and advanced trees selection of Zelkova schneideriana[J].Journal of Shanghai Jiaotong University(Agricultural Science),2010,28(6):499-503.
[3] 仲磊,黄利斌.榉树育种研究进展及遗传改良策略[J].林业科技开发,2015,29(1):5-8.DOI:10.13360/j.issn.1000-8101.2015.01.002.ZHONG L,HUANG L B.Breeding and genetic improvement strategies of Zelkova schneideriana[J].China Forestry Science and Technology,2015,29(1):5-8.
[4] 郁世军,李英,李晓储,等.榉树家系苗期生长变异及选择研究[J].南方林业科学,2016,44(3):13-16,31.DOI:10.16259/j.cnki.36-1342/s.2016.03.003.YU S J,LI Y,LI X C,et al.Growth variation and selection of Zelkova schneideriana at seedling stage[J].South China Forestry Science,2016,44(3):13-16,31.
[5] LIU H L,ZHANG R Q,GENG M L,et al.Chloroplast analysis of Zelkova schneideriana (Ulmaceae):genetic diversity,population structure,and conservation implications[J].Genetics and Molecular Research GMR,2016,15(1):1-9.DOI:10.4238/gmr.15017739.
[6]卢克成.江苏省林业实用知识读本——林木良种手册 [M].南京:江苏科学技术出版社,2013.
[7] 金晓玲,汪晓丽,刘雪梅,等.榉树新品种‘恨天高’[J].林业科学,2016,52(4):147-147.DOI:10.11707/j.1001-7488.20160418.JIN X L,WANG X L,LIU X M,et al.A new variety of Zelkova schneideriana ‘Hen Tian Gao’[J].Scientia Silvae Sinicae,2016,52(4):147-147.
[8] 童春发,卫巍,尹辉,等.林木半同胞子代测定遗传模型分析[J].林业科学,2010,46(1):29-35.TONG C F,WEI W,YIN H,et al.Analysis of genetic model for half-sib progeny test in forest trees[J].Scientia Silvae Sinicae,2010,46(1):29-35.
[9] 王德源.林木半同胞子代测定遗传模型统计分析及软件开发[D].南京:南京林业大学,2015.WANG D Y.Statistical analysis and software development of genetic model for half-sib progeny test in forest trees[D].Nanjing:Nanjing Forestry University,2015.
[10] 陈晓阳,沈熙环.林木育种学[M].北京:高等教育出版社,2005.
[11] 张焕裕.作物农艺性状整齐度的指标方法新论[J].湖南农业科学,2006,45(1):24-26.DOI:10.3969/j.issn.1006-060X.2006.01.009.ZHANG H Y.A new index on the regularity degree of crop agronomic traits[J].Hunan Agricultural Sciences,2006,45(1):24-26.
[12] 王福德,翁海龙,周显昌.红皮云杉优良家系选择方法的研究[J].林业科技,2017,42(1):30-31,34.DOI:10.3969/j.issn.1001-9499.2017.01.010.WANG F D,WENG H L,ZHOU X C.Selection methods of superior families of Picea koraiensis[J].Forestry Science & Technology,2017,42(1):30-31,34.
[13] 俸春姣.红锥优质种源及良种家系选育研究[D].长沙:中南林业科技大学,2014.FENG C J.The research on superior provenances and families selection of Castanponsis hystrix[D].Changsha:Central South University of Forestry & Technology,2014.
[14] 吴世军,陈广超,徐建民,等.滇南亚高山巨桉种源/家系变异及早期选择研究[J].热带亚热带植物学报,2017,25(3):257-263.DOI:10.11926/jtsb.3692.WU S J,CHEN G C,XU J M,et al.Variation analysis and early selection for Eucalyptus grandis provenances/families in central south Yunnan Province[J].Journal of Tropical & Subtropical Botany,2017,25(3):257-263.
[15] 刘勋成.榉树遗传多样性的ISSR分析[D].昆明:西南林学院,2005.LIU X C.Analysis of genetic diversity in Zelkova schneideriana by ISSR marks[D].Kunming:Southwest Forestry University,2005.
[16] 李婷婷,朱锦茹,邱帅,等.基于CE-SRAP标记的榉树优良单株指纹图谱构建[J].植物遗传资源学报,2016,17(1):169-176.DOI:10.13430/j.cnki.jpgr.2016.01.025.LI T T,ZHU J R,QIU S,et al.Fingerprinting construction for superior individuals of Zelkova schneideriana based on CE-SRAP[J].Journal of Plant Genetic Resources,2016,17(1):169-176.
[17] 孙晓梅,杨秀艳.林木育种值预测方法的应用与分析[J].北京林业大学学报,2011,33(2):65-71.SUN X M,YANG X Y.Applications and analysis of methods for breeding value prediction in forest trees[J].Journal of Beijing Forestry University,2011,33(2):65-71.