干旱区生态环境知识资源中心(Arid): Characterization and Trait Association Analysis of 27 Pearl Millet Landraces in Southern Tunisia

Arid

DOI	10.3390/agronomy13082128
	Characterization and Trait Association Analysis of 27 Pearl Millet Landraces in Southern Tunisia
	Triki, Tebra; Bennani, Leila; Boussora, Faiza; Tlahig, Samir; Ben Ali, Sihem; Gasmi, Amel; Yahia, Hedi; Belhouchette, Khaled; Loumerem, Mohamed; Guasmi, Ferdaous
通讯作者	Triki, T
来源期刊	AGRONOMY-BASEL
EISSN	2073-4395
出版年	2023
卷号	13 期号:8
英文摘要	Pearl millet (Pennisetum glaucum (L.) R. Br., 2n = 2x = 14, Poaceae), is a cross-pollinated, warm-season crop grown worldwide. To select genotypes for breeding pearl millet cultivars that adapt to drought condition in southern Tunisia, we evaluated the grain yield (GY) and yield-related traits using a set of 27 landraces at two locations in southern Tunisia for two grown seasons (2019 and 2020). The genetic variability, phenotypic and genotypic association, and path coefficient (PC), based on grain yield (GY) and different yield-related agronomic traits, were evaluated. Analysis of variance and BLUPs value revealed a wide range of variability and the possibility of genetic selection for traits that are advantageous. Broad sense heritability (H) for all the traits ranged from 24.10% for grain yield (GY) to 57.11% for spike length (SL), indicating low to moderate inheritability. Genetic advance as a percentage of the mean (GAM) ranged from high (29.56%) for principal panicle weight (PPW) to moderate for all the traits except from plant high (PH) (7.31%). For all the traits, the phenotypic coefficient of variation (PCV) was higher than genotypic coefficient of variation (GCV), indicating the magnitude of environmental conditions. GY was significantly correlated with all the traits at the genotypic and phenotypic level. According to the path coefficient, the traits PPW and SL displayed the highest direct effects on GY. Heatmap analysis demonstrated a clear segregation between the early and late genotypes based on their geographic origin. Based on the cluster analysis and FAI-BLUPS analysis, genotypes G11, G13, G12, G17 and G18 were selected as the best-performing genotypes with the shortest cycle.
英文关键词	arid land climate change FAI-BLUP genotypic correlation genetic variability heritability phenotypic correlation
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:001061382200001
WOS关键词	POPULATION-STRUCTURE ; MEAN PERFORMANCE ; FLOWERING TIME ; GRAIN-YIELD ; SELECTION ; WHEAT ; COLLECTION ; BLUP
WOS类目	Agronomy ; Plant Sciences
WOS研究方向	Agriculture ; Plant Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395224
推荐引用方式 GB/T 7714	Triki, Tebra,Bennani, Leila,Boussora, Faiza,et al. Characterization and Trait Association Analysis of 27 Pearl Millet Landraces in Southern Tunisia[J],2023,13(8).
APA	Triki, Tebra.,Bennani, Leila.,Boussora, Faiza.,Tlahig, Samir.,Ben Ali, Sihem.,...&Guasmi, Ferdaous.(2023).Characterization and Trait Association Analysis of 27 Pearl Millet Landraces in Southern Tunisia.AGRONOMY-BASEL,13(8).
MLA	Triki, Tebra,et al."Characterization and Trait Association Analysis of 27 Pearl Millet Landraces in Southern Tunisia".AGRONOMY-BASEL 13.8(2023).