山西省大豆多点试验品系农艺性状分析
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摘要
为了了解山西省大豆分类特性及农艺性状差异,研究基于2016—2017年山西省多点区域试验的10个品系大豆,分析了其农艺性状差异,并进行了变异分析、相关分析、主成分分析和聚类分析,结果可为山西省高产大豆的选育提供一定的理论依据。结果表明,大豆主茎节数、株高和单荚粒数的变异系数较小;产量与有效分枝和单株荚数呈极显著正相关,与单荚粒数、百粒质量呈显著正相关;主成分分析提取了株型性状因子、产量性状因子、单荚粒数、百粒质量4个主成分因子,累计贡献率高达93.13%;聚类分析结果显示,10个品系划分为3大类,并分别指出了提高产量的途径。研究结果揭示了山西省不同地域有代表性的大豆品系在同一地区的差异及分类关系,对指导山西省大豆良种选育具有重要意义。
To understand the difference of classification characteristics and agronomic characters of soybean in Shanxi province,this study analyzed the differences of agronomic characters of 10 varieties of soybean based on multi-site regional trials in Shanxi province from 2016 to 2017, and carried out variation analysis, correlation analysis, principal component analysis and cluster analysis,which could provide a certain theory for high-yield soybean breeding in Shanxi province. The results showed that the variation coefficient of main stem nodes, plant height and single pod number of soybean was less. The yield was significantly positively correlated with effective branch and pod number per plant, and significantly correlated with pod number per pod and 100-grain quality. The principal component analysis extracted four principal component factors, plant type trait factor, yield trait factor, single pod number and 100-grain quality, and the cumulative contribution rate was up to 93.13%. Cluster analysis results showed that the 10 strains were divided into 3 groups by cluster analysis, and different ways to increase yield were pointed out. This study reveals the differences and taxonomic relationships among representative soybeans from different regions in Shanxi province in the same region. It has the vital significance to guide the selection and breeding of soybean varieties in Shanxi province.
To understand the difference of classification characteristics and agronomic characters of soybean in Shanxi province,this study analyzed the differences of agronomic characters of 10 varieties of soybean based on multi-site regional trials in Shanxi province from 2016 to 2017, and carried out variation analysis, correlation analysis, principal component analysis and cluster analysis,which could provide a certain theory for high-yield soybean breeding in Shanxi province. The results showed that the variation coefficient of main stem nodes, plant height and single pod number of soybean was less. The yield was significantly positively correlated with effective branch and pod number per plant, and significantly correlated with pod number per pod and 100-grain quality. The principal component analysis extracted four principal component factors, plant type trait factor, yield trait factor, single pod number and 100-grain quality, and the cumulative contribution rate was up to 93.13%. Cluster analysis results showed that the 10 strains were divided into 3 groups by cluster analysis, and different ways to increase yield were pointed out. This study reveals the differences and taxonomic relationships among representative soybeans from different regions in Shanxi province in the same region. It has the vital significance to guide the selection and breeding of soybean varieties in Shanxi province.
引文
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[12]李清华. 34份菜用大豆品种主要农艺性状的主成分分析及遗传距离测定[J].福建农业学报,2018,33(2):136-143.
[13]符小发,高强,任海龙,等.南繁大豆农艺性状与产量的主成分和聚类分析[J].广东农业科学,2018,45(4):6-13.
[14]王宏勇,郭数进,李贵全.晋旱125×(昔野×501)杂交后代产量与主要农艺性状的相关性及主成分分析[J].天津农业科学,2017,23(3):76-80.
[15] GE C J,YAN L,XU L R,et al. Multivariate regression analysis on correlated characters about fresh pod yield of fresh edible soybean[J]. Agricultural Science&Technology,2015,16(4):687-690.
[16]贺礼英,尹成杰,黄守程,等.菜用大豆主要农艺性状的相关性、聚类及主成分分析[J].浙江农业学报,2018,30(1):50-57.
[17]曹鹏鹏,王士岭,王富建.大豆主要农艺性状与产量相关性分析[J].安徽农业科学,2015,43(36):18-26.
[18]谭淑玲,王梓贞,张王艳.黑龙江北部地区大豆产量与主要农艺性状的关联度和相关性分析[J].农业科技通讯,2010(11):50-51.
[19]李桂萍,张根生,巴青松,等.杂种小麦品质性状的性状相关和主成分分析[J].浙江农业学报,2016,28(9):1447-1453.
[20]李卫华,伏河山,徐红军,等. 42个春小麦品种数量性状的聚类分析[J].新疆农业科学,2006,43(5):357-361.
[2]王彩洁,李连华,李伟,等.大豆品种产量与主要性状的主成分分析[J].山东农业科学,2008(1):5-6.
[3]韩秉进,潘相文,金剑,等.大豆农艺及产量性状的主成分分析[J].大豆科学,2008,27(1):67-73.
[4]岳朝龙,黄永兴,严忠. SAS系统与经济统计分析[M].合肥:中国科学技术大学出版社,2003:339-356.
[5]庄萍萍,李伟,魏育明,等.波斯小麦农艺性状相关性及主成分分析[J].麦类作物学报,2006,26(4):11-14.
[6]郭数进,杨凯敏,霍瑾,等.大豆不同性状与产量的相关性及主成分分析[J].山西农业科学,2015,43(5):505-508.
[7]李文霞,李柏云,薛红,等.黑龙江省不同生态区大豆品种育种性状的主成分分析[J].大豆科学,2013,32(6):731-734.
[8]马富裕,曹连莆,叶祖德.新疆48个春小麦品种农艺性状的聚类分析及主成分分析[J].石河子大学学报(自然科学版),1995(1):9-14.
[9]陈丽丽,王明玖,何丽君,等.内蒙古野生大豆与栽培大豆杂交后代农艺性状比较及聚类分析[J].中国油料作物学报,2013,35(2):142-147.
[10]罗珊,康玉凡,濮绍京,等.黑河地区55份大豆品种资源农艺性状和营养成分的聚类分析[J].大豆科学,2009,28(3):421-425.
[11]林文磊,吕美琴,李明松,等. 39份春大豆种质资源的主成分分析及其聚类分析[J].福建农业学报,2018,33(10):10-16.
[12]李清华. 34份菜用大豆品种主要农艺性状的主成分分析及遗传距离测定[J].福建农业学报,2018,33(2):136-143.
[13]符小发,高强,任海龙,等.南繁大豆农艺性状与产量的主成分和聚类分析[J].广东农业科学,2018,45(4):6-13.
[14]王宏勇,郭数进,李贵全.晋旱125×(昔野×501)杂交后代产量与主要农艺性状的相关性及主成分分析[J].天津农业科学,2017,23(3):76-80.
[15] GE C J,YAN L,XU L R,et al. Multivariate regression analysis on correlated characters about fresh pod yield of fresh edible soybean[J]. Agricultural Science&Technology,2015,16(4):687-690.
[16]贺礼英,尹成杰,黄守程,等.菜用大豆主要农艺性状的相关性、聚类及主成分分析[J].浙江农业学报,2018,30(1):50-57.
[17]曹鹏鹏,王士岭,王富建.大豆主要农艺性状与产量相关性分析[J].安徽农业科学,2015,43(36):18-26.
[18]谭淑玲,王梓贞,张王艳.黑龙江北部地区大豆产量与主要农艺性状的关联度和相关性分析[J].农业科技通讯,2010(11):50-51.
[19]李桂萍,张根生,巴青松,等.杂种小麦品质性状的性状相关和主成分分析[J].浙江农业学报,2016,28(9):1447-1453.
[20]李卫华,伏河山,徐红军,等. 42个春小麦品种数量性状的聚类分析[J].新疆农业科学,2006,43(5):357-361.