160份外引鹰嘴豆种质主要农艺性状的遗传多样性分析

对引自国际半干旱热带作物研究中心的160份鹰嘴豆种质资源的13个农艺性状进行了评价鉴定,并筛选了特异种质,为我国鹰嘴豆种质资源创新和品种选育提供参考。结果表明,该批鹰嘴豆种质资源具有较为丰富的遗传多样性,7个数量性状的变异系数由大到小分别为主茎分枝数单株荚数百粒重产量株高单荚粒数生育期,6个质量性状的Shannon多样性指数由大到小分别为粒色株型花色种子表面粒形复叶叶型;产量与粒形、单株荚数极显著正相关,与百粒重显著正相关;前4个主成分的累计贡献率为63.417%,其中第1主成分与产量性状和产量有关,第2主成分与生育期有关,第3主成分与形态性状有关,第4主成分与株高和粒形有关;聚类分析在遗传距离为5时将160份资源分为3个类群,其中第Ⅰ类群的株高较高,第Ⅱ类群的产量较高,第Ⅲ类群的籽粒较大;筛选出63份早熟、矮秆、无分枝、多荚、荚粒数多、大粒、高产的特异种质资源。     

燕麦种质资源主要农艺性状的遗传多样性分析

燕麦种质资源是燕麦育种的重要基础,对燕麦遗传多样性的研究不仅有助于种质资源的搜集、管理和利用,也有利于进行核心种质的研究。为了解不同地区燕麦种质资源在农艺性状上的遗传多样性,对74份皮、裸燕麦种质资源13个性状的遗传多样性进行了聚类分析与主成分分析。结果表明:各性状的遗传多样性指数较大,多样性指数最高的是主穗粒重,其次是千粒重和穗长;性状变异系数最大的是单株分蘖数,其后依次为单株粒重和主穗粒重,最小的为株高;根据品种间各性状的遗传差异,通过聚类分析将74份资源材料划分为5类,其中36份皮燕麦资源被分为2类,26份裸燕麦资源被分为2类,7份皮燕麦和5份裸燕麦被分为一类,其中,类群Ⅰ可作为高产育种目标的亲本,类群Ⅲ可作为粒型育种目标的亲本,类群Ⅳ、Ⅴ可作为株高和小穗等育种目标的亲本;8个数量性状主成分分析的结果表明,前4个主成分对变异的累计贡献率达86.27%,第一主成分反应产量,第二主成分反应粒型,第三、第四主成分分别反应分蘖数和株高。     

云南红花种质资源主要农艺性状的遗传多样性分析

为加强红花种质资源的研究利用,对筛选出的66份云南红花优异种质资源16个形态性状进行聚类分析与主成分分析。结果表明:云南红花种质资源具有丰富的遗传多样性,多样性指数最高的是果球着粒数,其次是株高、最末分枝高度和千粒重;性状变异系数最大的是分枝总数,其次分别是单株有效果球数和第一分枝高度,最小的为顶果球直径;基于各种质间形态性状的遗传差异,把66份红花种质聚类并划分为6大类群。第Ⅰ类群可作为有增产潜力的亲本材料,第Ⅲ类群可作为高产量目标选育的亲本,第Ⅳ类群可作为大粒型选育亲本,第Ⅴ类群可作为高含油量选育目标亲本,第Ⅵ类群既是大粒型又是高含油量双重选育目标亲本。11个数量性状的主成分分析结果表明,前4个主成分累计贡献率达82.59%,第一主成分反映植株高度,第二主成分反映产量构成因子,第三、第四主成分分别反映千粒重和果球着粒数。研究结果表明云南红花地方种质资源的变异较大,遗传较丰富。     

平榛种质资源坚果农艺性状鉴定与评价研究

平榛是我国重要的榛属植物资源,为鉴定、评价和保护平榛种质资源,提高其利用效率,采用主成分分析和聚类分析方法对99份平榛种质资源坚果的主要农艺性状进行了鉴定和综合评价。结果表明:平榛种质资源坚果的24个性状具有丰富的遗传多样性;10个数量性状的主成分分析确定了4类影响因子,反映了育种选择方向及潜力;基于各种质间形态性状的遗传差异,将99份平榛种质划分为5大类群,第Ⅰ类群可作为选育果面光滑品种的育种和候选亲本材料,第Ⅱ类群可作为选育大粒型、适宜机械化加工的育种和候选亲本材料,第Ⅲ类群具有作为市场产品的潜力,第Ⅳ类群可作为选育圆形、果面无条纹的育种和候选亲本材料,第Ⅴ类群可作为选育高丰产性品种的育种和候选亲本材料。上述研究为平榛种质资源的评价、保护和选优工作提供了基础数据。     

基于形态学标记的山药种质资源遗传多样性研究

对收集的66份山药种质资源的19个农艺性状进行调查,通过遗传多样性分析、聚类分析与主成分分析,探讨其遗传多样性、亲缘关系及分类特征。结果表明,在15个质量性状中,遗传多样性指数最高的是叶片缺裂(1.18),其次是地下块茎形状(1.17)。叶脉数频率分布最高(92.65%),其次为叶先端渐尖(89.71%)。根据各农艺性状的遗传差异,可将66份淮山药种质聚为二大类群;第Ⅰ类群种质均为薯蓣,第Ⅱ类群种质为参薯。主成分分析结果表明,前5个主成分累计贡献率达76.496%,第一主成分反映高产株型综合因子,第二主成分反映山药抗病性因子,第三和第四主成分反应山药地下块茎形状因子,第五主成分反映地下块茎颜色。通过以上研究,为山药品种选育及生产利用提供参考。     

湖南省饭豆地方种质资源表型多样性评价

依托"第三次全国农作物种质资源普查与收集行动"项目,开展了湖南省饭豆种质资源的考察收集与评价鉴定,并筛选了优异种质,为湖南省饭豆种质资源创新和品种选育提供参考。结果表明,收集到的76份地方资源主要分布在湘西湘南山区,0~600 m的中低海拔地区。15项农艺性状表型分析显示其遗传多样性丰富;主成分分析将15个农艺性状分为4个主成分,其主要与株高、籽粒大小、产量、花色粒色相关,累计贡献率68.330%;聚类分析将76份资源分为2大类群,第Ⅰ类群蔓生、无限结荚,第Ⅱ类群直立、有限结荚,第Ⅰ类群又分为2个亚群,类群Ⅰ-1株型较小,单株产量较低,籽粒较大,类群Ⅰ-2株型较大,单株产量较高,籽粒较小。根据聚类分析结果及数量性状极值和质量性状变异类型提取出22份饭豆特异种质,并从中筛选出3类可以代表类群特征的资源:直立适合密植机收的资源,大粒型优质资源,高产、高生物量的粮肥两用资源。     

山东大豆种质资源形态多样性分析

通过对山东省205份大豆种质资源的形态多样性分析,结果表明主茎节数的形态多样性指数最高,为1．96;花色的遗传多样性指数最低,为0．63。总体上是数量性状形态多样性指数大于质量性状。通过主成分分析,第一主成分的方差贡献率为36．49％,第二主成分的方差贡献率为13,24％;基于形态性状的聚类分析把205份材料聚为3类,其中第1类149份材料,品种生育日数较短,株高低,主茎节数和分枝数均少于其他2类。第2类54份材料,品种生育日数稍长,单株荚数、单株粒数较多,株高较高,百粒重较小。第3类仅2份材料,分别来自第Ⅳ生态区和第Ⅴ生态区。这2个品种生育期较长,株高较高。百粒重较大。     

国外紫花苜蓿种质资源表型性状与品质多样性分析

本研究旨在利用形态指标、农艺性状指标和品质性状指标探讨引进紫花苜蓿(Medicago sativa L.)种质资源的遗传多样性,为紫花苜蓿品种改良和亲本选择提供科学依据。研究了不同地理来源的75份紫花苜蓿种质资源的21项指标,并利用主成分分析和聚类分析方法分析其多样性。结果表明,不同紫花苜蓿种质的各个特征存在广泛变异,农艺性状变异最大,其次是形态性状和品质性状;主成分分析结果显示前8个主成分累计贡献率达到82.7748%,其中茎秆干重、单株干重、单株鲜重、叶干重4个性状是构成紫花苜蓿种质表型差异的主要因素;以21个性状为基础的聚类分析将所研究的75份种质材料分为5类,其中第Ⅱ类群的3号材料和第Ⅰ类群的25、31号材料农艺性状表现较好,可以作为苜蓿新品种选育和改良的优异亲本材料。     

谷子主要育成品种在新疆的遗传多样性研究

以274份谷子种质资源为材料,利用聚类分析和主成分分析方法,对参试资源16个农艺性状的遗传多样性进行综合评价。结果表明,参试材料的11个数量性状的遗传多样性指数均大于2.000,在新疆表现出广泛的遗传多样性。基于种质资源间形态标记的遗传差异,将274份谷子种质资源聚类并划分为6大类群。第Ⅰ类群(105份材料)生育期较短,属早熟类型,但其他性状表现一般;第Ⅱ类群(19份材料)出苗-抽穗日数最小,全生育期最短,早熟性明显,穗下节间长度相对其他类群较长;第Ⅲ类群(10份材料)生育期较短,主穗长相对较长,其余性状表现均处于较低水平;第Ⅳ类群(58份材料)主穗长、单穗重在各类群中处于较高水平,生育期相对较短;第Ⅴ类群(26份材料)生育期最长,属晚熟类型,除主穗长度最小外其余性状均表现突出;第Ⅵ类群(56份材料)生育期相对较长,属中晚熟类型,株高较低,生物产量处于中等水平。9个数量性状的主成分分析结果表明,前3个主成分因子(单株秆重、株高、主穗直径)累计贡献率达70.41%,各主成分因子性状载荷值反映了育种中各性状的选择方向及潜力。综合评价谷子种质资源农艺性状,为新疆谷子资源收集、评价和利用提供一定的科学依据。     

云南苦荞种质资源主要性状的遗传多样性分析

为了从云南苦荞种质资源中挖掘优异种质资源,拓宽苦荞遗传基础,以48份苦荞种质资源为材料研究了6个主要农艺性状和5个品质性状的遗传多样性。结果表明,云南的苦荞资源存在着丰富的遗传多样性,6个农艺性状中株粒重的变异系数为34.4%最大,品质性状中总黄酮含量的变异系数为51.72%最大。聚类结果表明,将48份材料聚为3大类,可区分为低产型、矮秆高产型和中秆高产型。6个主要农艺性状和5个品质性状的主成分分析结果表明,前3个累计贡献率分别达84.105%和80.332%,各主成分性状载荷值反映了主要数量性状的育种选择潜力。综合分析种质资源的主要农艺性状,可为云南苦荞种质资源的利用提供有效的科学依据。     

Study of genetic variation in sesame (Sesamum indicum L.) using agro-morphological traits and ISSR markers

This research was conducted to study the genetic variation among eighteen genotypes of sesame (Sesamum indicum L.) collected from various agro-climatic regions of Iran along with six exotic genotypes from the Asian countries using both agro-morphological and ISSR marker traits. The results showed significant differences among genotypes for all agro-morphological traits and a relatively high genetic coefficient of variation observed for number of fruiting branches per plant, capsules per plant, plant height and seed yield per plant. Cluster analysis based on these traits grouped the genotypes into five separate clusters. Larger inter- than intra cluster distances implies the presence of higher genetic variability between the genotypes of different groups. Genotypes of two clusters with a good amount of genetic divergence and desirable agronomic traits were detected as promising genotypes for hybridization programs. The 13 ISSR primers chosen for molecular analysis revealed 170 bands, of which 130 (76.47%) were polymorphic. The generated dendrogram based on ISSR profiles divided the genotypes into seven groups. A principal coordinate analysis confirmed the results of clustering. The agro-morphological traits and ISSR markers reflected different aspects of genetic variation among the genotypes as revealed by a non significant cophenetic correlation in the Mantel test. Therefore the complementary application of both types of information is recommended to maximize the efficiency of sesame breeding programs. The discordance among diversity patterns and geographical distribution of genotypes found in this investigation implies that the parental lines for hybridization should be selected based on genetic diversity rather than the geographical distribution.     

Genetic variability and association of characters in linseed (Linum usitatissimum L.) plant grown in central Ethiopia region

Linseed is one of the most important oil seed crop in the central highlands of Ethiopia for which yield enhancement is the major breeding purposes and genotypic variability is important for selection in any breeding programs. However, shortage of improved varieties’ that provides optimum seed yield is one of the major constraints of the crop. Therefore, this study was carried out to assess the genetic variability and association among quantitative traits of 36 linseed genotypes. The experiment was conducted in 2018 main cropping season by using simple lattice design. The analysis of variances reveled highly significant difference among the genotype for most of traits considered in present study. High phenotypic and genotypic coefficient of variation was recorded for tiller per plant, harvest index, oil yield (kg ha⁻¹), and seed yield (ton ha-1) number of capsules per plant. High heritability along with genetic advance was observed for seed yield (tones ha-¹), oil yield (kg ha-¹) harvest index which indicates selection of these traits at early generation would be effective. Oil yield (kg ha⁻¹) harvest index and number of capsules plant ⁻¹ showed highly significant positive with seed yield (ton ha⁻¹). Cluster analysis revealed that 36 linseed genotypes were grouped into two clusters and four genotypes remain ungrouped. The maximum inter clusters distance was observed between clusters II and the local check. The data set was reduced into four significant principal components (PCs) that comprise (80%) of the variance. The first PC accounted for 34% of the variances that implies greater proportion of variable information explained by PC1. The traits, which contributed more to PC1, were seed yield per plant, primary branches per plant, secondary branches per plant and plant height showed positive association and had positive direct effect on seed yield. This indicates that any improvement of oil yield and harvest index would result in substantial increase on seed.     

燕麦种质资源形态学性状的遗传多样性

【目的】燕麦种质资源遗传多样性研究不仅有助于种质资源的收集和评价,而且对燕麦生产和育种具有重要指导意义。【方法】研究对260份燕麦种质资源的20个形态学性状多样性、变异及聚类进行分析,评价其形态学性状的遗传变异水平,明确燕麦种质资源的性状特点与遗传多样性,以期为燕麦种质创新和品种改良提供依据。【结果】260份燕麦种质资源形态学性状间存在广泛的遗传多样性,质量性状的遗传多样性指数以粒色最大(1.53),芒色最小(0.76);12个数量性状呈正态分布,数量性状的遗传多样性指数以千粒重最大(2.03),有效分蘖数最小(1.22),变异系数最大的是有效分蘖数(89.02%),最小的是株高(11.19%)。根据燕麦品种(系)间各性状的遗传差异,聚类分析将供试的260份燕麦种质资源分为6类,其中种质群Ⅰ包括42份材料,可作为种用型育种目标的亲本材料;种质群Ⅱ包括31份材料,可作为选育高产饲草品种的亲本材料;种质群Ⅳ包括41份材料,可作为选育大粒专用型品种的育种材料;种质群Ⅴ包括46份材料,可作为燕麦矮化的亲本材料;而种质群Ⅲ包括46份材料,种质群Ⅵ包括54份材料,这两类种质群材料的综合性状表现不突...     

Study of genetic variation in sesame (<Emphasis Type="Italic">Sesamum indicum</Emphasis> L.) using agro-morphological traits and <Emphasis Type="Italic">ISSR</Emphasis> markers

This research was conducted to study the genetic variation among eighteen genotypes of sesame (Sesamum indicum L.) collected from various agro-climatic regions of Iran along with six exotic genotypes from the Asian countries using both agro-morphological and ISSR marker traits. The results showed significant differences among genotypes for all agro-morphological traits and a relatively high genetic coefficient of variation observed for number of fruiting branches per plant, capsules per plant, plant height and seed yield per plant. Cluster analysis based on these traits grouped the genotypes into five separate clusters. Larger interthan intra cluster distances implies the presence of higher genetic variability between the genotypes of different groups. Genotypes of two clusters with a good amount of genetic divergence and desirable agronomic traits were detected as promising genotypes for hybridization programs. The 13 ISSR primers chosen for molecular analysis revealed 170 bands, of which 130 (76.47%) were polymorphic. The generated dendrogram based on ISSR profiles divided the genotypes into seven groups. A principal coordinate analysis confirmed the results of clustering. The agro-morphological traits and ISSR markers reflected different aspects of genetic variation among the genotypes as revealed by a non significant cophenetic correlation in the Mantel test. Therefore the complementary application of both types of information is recommended to maximize the efficiency of sesame breeding programs. The discordance among diversity patterns and geographical distribution of genotypes found in this investigation implies that the parental lines for hybridization should be selected based on genetic diversity rather than the geographical distribution.     

小豆种质资源农艺性状综合鉴定与评价

通过田间观测和室内分析,对来自全国各生态区的262份小豆优异种质资源连续2年进行了农艺性状鉴定及综合评价。结果表明:262份小豆微核心种质资源在考察的16个形态学性状中均具有丰富的遗传变异类型;不同年份间生态环境尤其是光照条件对小豆农艺性状影响较大;主成分分析确定了3类影响因子,表明小豆资源的选育要集中在生长势良好(生育日数较短、株高较矮),单株荚数和单荚粒数多的地方品种;聚类分析结果显示在相似系数为0.40时可将参试材料分为5大类群,各类群间性状差异明显;群体性状表现与地理来源之间没有直接的关系。     

Estimation of Genetic Divergence and Character Association Studies in Local and Exotic Diversity Panels of Soybean (<i>Glycine max</i> L.) Genotypes

The availability of favorable genetic diversity is a thriving vitality for the success of a breeding program. It provides a firm basis of selecting superior breeding lines for the development of high yielding crop genotypes. In this context, present investigation aimed to generate information on genetic divergence and character association in a diversity panel of 123 local and exotic soybean genotypes. Analysis of variance revealed significant response of the evaluated genotypes based on studied attributes. It depicted the probability of selecting desirable soybean genotypes by focusing on character association studies and genetic diversity analysis. Correlation analysis revealed that seed yield per plant showed high positive correlation with 100-seed weight followed by pods per plant and plant height. Furthermore, path coefficient analysis exposed that pods per plant had maximum direct contribution in seed yield per plant followed by 100-seed weight, days to flowering and SPAD measurement. Genotype named “G-10” showed maximum yield per plant followed by 24607, G-52, 24593, Arisoy, 24566, 17426, A-3127, 24570 and 24567. Genetic diversity analysis grouped the evaluated germplasm into 17 clusters. All clusters showed zero intra-cluster variability; while inter-cluster divergence ranged from 9.00 to 91.11. Cluster V showed maximum inter-cluster distance with cluster XII followed by that of between V and VIII. Moreover, cluster IV with superior genotypes (G-10, 24607, 24593 and 24566), VI (17426 and 24567), XIII (24570) and X (Arisoy and G-52) showed above mean values for most of the studied characters. Overall, the results of hybridization between the superior genotypes of these cluster pairs might be useful for soybean breeding with improving agronomic traits and adaptability.     

木豆种质资源形态与农艺性状的多样性分析

为挖掘优异木豆(Cajanus cajan)种质资源,对10份木豆种质资源的10个质量性状和18个数量性状的遗传多样性进行了研究,并对其农艺性状进行了聚类分析。结果表明,质量性状的遗传多样性指数均较大,以鲜荚色(1.9219)的最高,其次是旗瓣点缀色、鲜籽粒颜色和干籽粒底色,多样性指数均为1.4855;再次为干籽粒色斑、干籽粒脐环色和有无种阜,均为0.8813;最小的是小叶叶形、旗瓣底色和株型,均为0.7219。聚类分析可将10份木豆种质资源划分为中茎稀疏型、中茎密生型和粗茎密生型3大类型。这为木豆品种选育提供了科学依据。     

国外绿豆种质资源农艺性状的遗传多样性分析

以来自15个国家和地区的352份绿豆种质资源为材料,评价其5个质量性状和10个数量性状的遗传变异水平。结果表明:除美国等5个不同地区的14份材料未正常开花结荚外,其余338份材料的农艺性状具丰富的遗传变异。其中质量性状中叶形和幼茎色的遗传多样性指数最高(0.69),数量性状中荚长(2.08)和百粒重(2.07)的最高。UPGMA聚类将338份参试材料分为6大类群,各类群有其独特的性状特征,其中第5类群早熟、矮秆、大粒,可为杂交育种亲本选配提供理想亲本。亚蔬(ARC-AVRDC)(泰国)、菲律宾、印度、印度尼西亚、韩国、美国和俄罗斯等7个不同地理区域材料间具有显著的遗传变异,其中俄罗斯的遗传多样性指数最高,韩国最低;印度尼西亚的生育期较短,主茎节数、单荚粒数、单株荚数和单株产量最高,属于早熟、大粒、高产的种质,可以为我国新品种的选育提供基础材料;UPGMA聚类可将这7个不同地理区域的材料划分为3类,其中印尼和韩国的材料各被划分为一类,其他5个国家聚为第Ⅲ类,群体间的性状表现与其地理来源有一定的关系。