首页|黄淮麦区180个小麦品种的6个农艺性状遗传多样性分析

黄淮麦区180个小麦品种的6个农艺性状遗传多样性分析

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对黄淮麦区小麦品种进行遗传多样性分析,分类、筛选农艺性状优异品种,可为拓宽黄淮麦区小麦品种的遗传基础及培育突破性新品种提供基础材料。以黄淮麦区已审定的180个小麦品种为研究群体,对其6个重要农艺性状进行变异分析、相关分析和聚类分析。变异分析结果显示,株高的变异系数(CV)最小(5。76%),说明参试品种株高差异较小,株高改良到了瓶颈期,已经没有多少下降的空间;不育小穗数的变异系数最大(41。58%),改良空间较大,改良后可有效改善结实性。相关分析结果显示,穗长与每穗小穗数和穗粒数呈极显著正相关(r分别为0。546和0。323),每穗小穗数与穗粒数呈极显著正相关(r=0。338),小麦株高与不育小穗数呈显著负相关(r=-0。213),每穗小穗数与单株有效分蘖数呈显著负相关(r=-0。242),不育小穗数与穗粒数呈极显著负相关(r=-0。361),穗粒数与单株有效分蘖数呈极显著负相关(r=-0。364)。聚类分析结果显示,180份试材分为五大类群:第一类群包括57个品种,其平均穗长和穗粒数最高,6个农艺性状CV的平均值为15。5%;第二类群包括25个品种,其平均穗长、每穗小穗数、不育小穗数和单株有效分蘖均最低,6个农艺性状CV的平均值为12。87%;第三类群包括54个品种,其平均株高最大、穗粒数最低,6个农艺性状CV的平均值为12。66%;第四类群包括34个品种,其平均单株有效分蘖数最高,6个农艺性状CV的平均值为10。39%;第五类群包括10个品种,其平均每穗小穗数和不育小穗数最高,6个农艺性状CV的平均值为15。51%。180个小麦品种的农艺性状变异较大,遗传多样性丰富,其中,第一类群有57个小麦品种,其农艺性状最优良,在小麦育种中结合育种目标可以作为骨干亲本材料;其他4个类群共123个小麦品种,个别农艺性状优良,可以作为改良另一育种材料某个欠优性状的供体亲本材料。
Genetic Diversity Analysis of Six Agronomic Traits of 180 Wheat Varieties in Huanghuai Wheat Region
Analyzing the genetic diversity of wheat varieties in the Huanghuai wheat region,classifying and screening varieties with excellent agronomic traits,can provide basic materials for expanding the genetic basis of wheat varieties in Huanghuai wheat region and cultivating breakthrough new varieties.Using 180 wheat varieties approved from Huanghuai wheat region as the research population,the variation analysis,correlation analysis,and cluster analysis were conducted on six important agronomic traits.The results of variation analysis showed that the variation coefficient(CV)of plant height was the smallest(5.76%),indicating that the differences in plant height among the tested varieties were relatively small.The improvement of plant height reached the bottleneck period,and it is difficult to be shortened.The CV of the number of sterile spikelets was the highest(41.58%),indicating a large potential for improvement,which can effectively improve seed setting.The correlation analysis results showed that there was a highly significant positive correlation be-tween spike length and the number of spikelets and grains per spike(r=0.546 and 0.323,respectively),a highly significant positive correlation between the number of spikelets per spike and the number of grains per spike(r=0.338),a significant negative correlation between wheat plant height and the number of sterile spikelets(r=-0.213),a significant negative correlation between the number of spikelets per spike and the num-ber of effective tillers per plant(r=-0.242),and a highly significant negative correlation between the number of sterile spikelets and the number of grains per spike(r=-0.361).The number of grains per spike was signifi-cantly negatively correlated with the number of effective tillers per plant(r=-0.364).The clustering analysis results showed that 180 test materials were divided into five groups:the first group included 57 varieties,with the highest average spike length and grain number,and an average CV of 15.5%for 6 agronomic traits.The second group included 25 varieties,with the lowest average spike length,number of spikelets per spike,num-ber of sterile spikelets,and effective tillering per plant,and an average CV of 12.87%for 6 agronomic traits.The third group included 54 varieties,with the highest average plant height and the lowest number of grains per spike,and the average CV of 6 agronomic traits was 12.66%.The fourth group included 34 varieties,with the highest average effective tillering number per plant,and an average CV of 10.39%for 6 agronomic traits.The fifth group included 10 varieties,with the highest average number of spikelets per spike and sterile spikelets,and an average CV of 15.51%for 6 agronomic traits.180 wheat varieties have significant variation in agronomic traits and rich genetic diversity.Among them,there are 57 wheat varieties in the first group,which have the best agronomic traits and can be used as backbone parental materials in wheat breeding in combina-tion with breeding objectives.There are a total of 123 wheat varieties in the other 4 groups,some of which have excellent agronomic traits and can be used as donor parents to improve another breeding material for a certain suboptimal trait.

WheatAgronomic traitsGenetic diversityVariation coefficientCorrelation analysisHierarchical cluster analysis

田顺顺、王冲、郭凤芝、林坤、李思同、郭凌云、王应党、任自超、曹光、葛振勇

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菏泽市农业科学院,山东菏泽 274000

菏泽市农业科学院试验示范开发服务中心,山东 菏泽 274000

小麦 农艺性状 遗传多样性 变异系数 相关分析 系统聚类分析

国家小麦产业技术体系项目山东省现代农业产业技术体系小麦产业技术体系项目

CARS-3-2-20SDAIT-01-20

2024

河北农业科学
河北省农林科学院

河北农业科学

影响因子:0.52
ISSN:1088-1631
年,卷(期):2024.28(1)
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