干旱区生态环境知识资源中心(Arid): Repeatability coefficient for fruit quality and selection of mango hybrids using REML/BLUP analysis

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DOI	10.1007/s10681-023-03249-3
	Repeatability coefficient for fruit quality and selection of mango hybrids using REML/BLUP analysis
	Costa, Cristina dos Santos Ribeiro; Costa, Antonio Elton da Silva; Neto, Francisco Pinheiro Lima; de Lima, Maria Auxiliadora Coelho; Martins, Luiza Suely Semen; Musser, Rosimar dos Santos
通讯作者	Costa, CDR
来源期刊	EUPHYTICA
ISSN	0014-2336
EISSN	1573-5060
出版年	2023
卷号	219 期号:11
英文摘要	Mango is a tropical fruit of significant economic, social, and nutritional importance. However, the low diversity of commercial mango orchards in Brazil highlights the need to broaden the genetic base of this crop. From this perspective, this study aimed to select mango genotypes for cultivation under semi-arid conditions using the mixed model methodology: restricted maximum likelihood/best linear unbiased prediction (REML/BLUP). Two hundred and ninty-two genotypes originated from the crossing of seven cultivars used as female parent ('Coquinho', 'Espada', 'Haden', 'Keitt', 'Winter', 'Palmer', and 'Van Dyke') and 'Tommy Atkins' as male parent were evaluated over two crop seasons using fifteen traits related to fruit quality. The statistical analyses were performed with the software Selegen. The repeatability coefficient estimates (r) ranged from 0.06 to 0.97, and were considered high for most variables. The selective accuracy predicted by REML for the evaluated parameters ranged from 0.25 to 0.98, revealing a good degree of confidence in the inferences. With the application of a selection intensity of 30% it was possible to obtain genetic gain (%) for all evaluated traits. Twelve genotypes were selected as the most promising using the minimum selection indices proposed in this study, showing higher mean values for all evaluated traits. These genotypes can be selected for new stages of the mango breeding program in the Brazilian semi-arid region.
英文关键词	Mangifera indica Mixed models Selective accuracy Selection index
类型	Article
语种	英语
开放获取类型	Green Submitted
收录类别	SCI-E
WOS记录号	WOS:001090543300001
WOS关键词	GENETIC EVALUATION ; MANGIFERA-INDICA ; TRAITS ; PREDICTION ; PROGENIES ; CLONES ; COMPONENTS ; SOFTWARE ; VALUES ; PAPAYA
WOS类目	Agronomy ; Plant Sciences ; Horticulture
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/2XILL650/396311
推荐引用方式 GB/T 7714	Costa, Cristina dos Santos Ribeiro,Costa, Antonio Elton da Silva,Neto, Francisco Pinheiro Lima,et al. Repeatability coefficient for fruit quality and selection of mango hybrids using REML/BLUP analysis[J],2023,219(11).
APA	Costa, Cristina dos Santos Ribeiro,Costa, Antonio Elton da Silva,Neto, Francisco Pinheiro Lima,de Lima, Maria Auxiliadora Coelho,Martins, Luiza Suely Semen,&Musser, Rosimar dos Santos.(2023).Repeatability coefficient for fruit quality and selection of mango hybrids using REML/BLUP analysis.EUPHYTICA,219(11).
MLA	Costa, Cristina dos Santos Ribeiro,et al."Repeatability coefficient for fruit quality and selection of mango hybrids using REML/BLUP analysis".EUPHYTICA 219.11(2023).