干旱区生态环境知识资源中心(Arid): Biometric genetics in Cowpea beans (Vigna unguiculata (L.) Walp) II: estimates of genetic gains through selection indices

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	Biometric genetics in Cowpea beans (Vigna unguiculata (L.) Walp) II: estimates of genetic gains through selection indices
	Alvino, Francisco Cassio Gomes; Lacerda, Rodolfo Rodrigo de Almeida; Alves, Leonardo de Sousa; Souto, Lauter Silva; de Luna, Romulo Gil; Silva, Marcelo Cleon de Castro; Dantas, Jussara Silva; Souto, Jabob Silva; Neder, Diogo Goncalves; Dutra Filho, Joao de Andrade; Souza, Anielson dos Santos
通讯作者	Dutra, JD
来源期刊	REVISTA DE LA FACULTAD DE CIENCIAS AGRARIAS
EISSN	1853-8665
出版年	2023
卷号	55 期号:1 页码:140-148
英文摘要	Low cowpea productivity (Vigna unguiculata (L.) Walp) in the semi-arid region of Paraiba is due, among other factors, to poor-quality cultivars. This research tested biometric models intending to increase productivity of superior cultivars with the following objectives: i. Estimate genetic gains in production components; ii. Identify the selection index model providing the greatest gains through simultaneously selecting a set of variables, and iii. Select cultivars with higher productivity. The experiment was carried out in the experimental field of the Agrifood Science and Technology Center of the Federal University of Campina Grande. Eight cultivars and 13 variables were evaluated. Data were subjected to ANOVA and means were grouped using the Scott and Knott test. Genetic gains were estimated by correlated response, classic selection index, rank sum and index based on desired gains. Direct selection of the secondary pod yield component provides significant genetic gains in main grain yield. Among the methodologies used, the classic selection index provided greater distribution of genetic gains for main grain yield and primary production components. These results allow concluding that Costela de vaca, BRS Marataoa and Paulistinha cultivars should be selected for cultivation and commercial exploitation in the semiarid region of Paraiba.
英文关键词	selection indices genetic improvement simultaneous selection productivity correlated response
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001028071400014
WOS关键词	PHASEOLUS-VULGARIS L. ; IMPROVEMENT ; POPULATION ; PREDICTION ; CULTIVARS ; GENOTYPES ; TRAITS
WOS类目	Agriculture, Multidisciplinary
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398427
推荐引用方式 GB/T 7714	Alvino, Francisco Cassio Gomes,Lacerda, Rodolfo Rodrigo de Almeida,Alves, Leonardo de Sousa,et al. Biometric genetics in Cowpea beans (Vigna unguiculata (L.) Walp) II: estimates of genetic gains through selection indices[J],2023,55(1):140-148.
APA	Alvino, Francisco Cassio Gomes.,Lacerda, Rodolfo Rodrigo de Almeida.,Alves, Leonardo de Sousa.,Souto, Lauter Silva.,de Luna, Romulo Gil.,...&Souza, Anielson dos Santos.(2023).Biometric genetics in Cowpea beans (Vigna unguiculata (L.) Walp) II: estimates of genetic gains through selection indices.REVISTA DE LA FACULTAD DE CIENCIAS AGRARIAS,55(1),140-148.
MLA	Alvino, Francisco Cassio Gomes,et al."Biometric genetics in Cowpea beans (Vigna unguiculata (L.) Walp) II: estimates of genetic gains through selection indices".REVISTA DE LA FACULTAD DE CIENCIAS AGRARIAS 55.1(2023):140-148.