The Cluster of Local Maize Accessions Based on Seed Characteristics from North Sumatra

IF 1.3 Q3 PLANT SCIENCES Egyptian Journal of Botany Pub Date : 2023-05-03 DOI:10.21608/ejbo.2023.174829.2193
N. E. Mustamu, Koko Tampubolon, Alridiwirsah Alridiwirsah, M. Basyuni
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引用次数: 1

Abstract

T HE use of local maize is still in high demand by farmers in Indonesia. The development of local maize needs to be discovered through a morphological approach. This study was to obtain seed characteristics and similarities of local maize from North Sumatra. Local maize accession seeds were taken by four districts/cities (Binjai, Serdang Bedagai, Deli Serdang, and Mandailing Natal) from North Sumatra, Indonesia from July to September 2022. A hybrid variety of maize was selected for comparison. Seed characteristics were measured in each accession with four replications. A descriptive-analytic method was selected in this study and data were analyzed using one-way ANOVA and followed by Tukey at P <0.05. Correlation analysis, similarity matrix, hierarchical cluster, and constellation plot were constructed in this study. The results showed that SB-1; DS-3; SB-4; and SB-2 accessions had higher seed characteristics than other accessions. The SB-5 accession had the nearest neighbors (0.743) and two accessions (BI-1; DS-2) were classified into one cluster with a hybrid variety. This finding indicates that several local maize accessions are nearest to the hybrid characteristics. A novelty of this study informed that local maize had an opportunity to be used in the fields.
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基于北苏门答腊岛种子特征的地方玉米资料聚类研究
印尼农民对当地玉米的使用需求仍然很高。当地玉米的发育需要通过形态学的方法来发现。本研究旨在获得北苏门答腊当地玉米的种子特性和相似性。2022年7月至9月,印度尼西亚北苏门答腊的四个地区/城市(宾贾、塞尔当-贝达盖、德利-塞尔当和曼德勒-纳塔尔)采集了当地玉米种子。选择一个玉米杂交品种进行比较。用四次重复在每个登录中测量种子特性。本研究选择了描述性分析方法,并使用单因素方差分析对数据进行分析,然后用Tukey进行分析,P<0.05。本研究构建了相关分析、相似矩阵、层次聚类和星座图。结果表明:SB-1;DS-3;SB-4;SB-2材料具有比其他材料更高的种子特性。SB-5具有最近的邻居(0.743),两个材料(BI-1;DS-2)与一个杂交品种被分类到一个聚类中。这一发现表明,一些地方玉米材料最接近杂交特性。这项研究的一个新颖之处在于,当地玉米有机会在田里使用。
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来源期刊
Egyptian Journal of Botany
Egyptian Journal of Botany PLANT SCIENCES-
CiteScore
2.20
自引率
27.30%
发文量
52
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