干旱区生态环境知识资源中心(Arid): Linear mixed model to identify the relationship between grain yield and other yield related traits and genotype selection for sorghum

Arid

DOI	10.1016/j.heliyon.2023.e17825
	Linear mixed model to identify the relationship between grain yield and other yield related traits and genotype selection for sorghum
	Messele, Mulugeta Tesfa; Zewotir, Temesgen; Derese, Solomon Assefa; Belay, Denekew Bitew; Shimelis, Hussein
通讯作者	Messele, MT
来源期刊	HELIYON
EISSN	2405-8440
出版年	2023
卷号	9 期号:7
英文摘要	Sorghum is the most popular crop in arid and semi-arid areas, especially in Sub-Saharan African countries. Genotype effects, environmental and the interaction of genotype by environmental factors have an influence on phenotypic traits. The aim of the study is to identify the relationship between grain yield and other yield-related traits and select the genotypes which perform better in grain yield as well as to examine the association between the uncorrelated phenotypic traits and grain yield via mixed model. The data was generated using a lattice square design. Principal component analysis was used to generate uncorrelated variables for the mixed model. The study revealed that there was a difference in grain yield due to the treatment and there was a pairwise relationship among the phenotypic variables. 77.12% of the total variance of the original phenotypic variables was explained by the first three principal components and decided to use PCAs as input variables for the mixed model. All PCs had significant effects on grain yield as well as grain yield variability due to random effects associated with genotypes, genotype interaction by treatment, and replication within the treatment. The variability of grain yield due to genotype effect was explained about 45.73%, the variation of grain yield due to the interaction of genotype by the treatment was also explained about 39.06% and 1.55% of the variation of grain was explained by replication within treatment. The best performer genotypes recommended for mass production were G40 (Genotype 40), G186 (Genotype 186) and G196 (Genotype 196) without any constraint of environment. The genotypes recommended for mass production under irrigation conditions were G40 (Genotype 40), G62 (Genotype 62) and G192 (Genotype 192). G26 (Genotype 26), G55 (Genotype 55) and G49 (Genotype 49) were the genotypes recommended for mass production under stress conditions. Overall, the study recommends using a mixed model to fit the grain yield, and future work will focus on to evaluate the performance of genotypes under different environments and years of production.
英文关键词	Fixed effects Random effects Principal component Genotype selection Best performer Multivariate analysis
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:001055480600001
WOS关键词	MULTIVARIATE-ANALYSIS ; GENETIC DIVERSITY ; BLUP
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396817
推荐引用方式 GB/T 7714	Messele, Mulugeta Tesfa,Zewotir, Temesgen,Derese, Solomon Assefa,et al. Linear mixed model to identify the relationship between grain yield and other yield related traits and genotype selection for sorghum[J],2023,9(7).
APA	Messele, Mulugeta Tesfa,Zewotir, Temesgen,Derese, Solomon Assefa,Belay, Denekew Bitew,&Shimelis, Hussein.(2023).Linear mixed model to identify the relationship between grain yield and other yield related traits and genotype selection for sorghum.HELIYON,9(7).
MLA	Messele, Mulugeta Tesfa,et al."Linear mixed model to identify the relationship between grain yield and other yield related traits and genotype selection for sorghum".HELIYON 9.7(2023).