Mixed model-based indices for selection of sweet potato genotypes for different agronomic aptitudes

Silva, Jeferson Carlos de Oliveira; Júnior, Valter Carvalho de Andrade; Filho, Júlio Sílvio de Sousa Bueno; Brito, Orlando Gonçalves; Lopes, Thábata Caroline; Pereira, Alysson Gomes; Zaqueu, Aline dos Santos; Taula, António Jorge Viegas; Firme, Thiago Diniz

doi:10.1007/s10681-022-03033-9

Cited by 3 publications

(1 citation statement)

References 31 publications

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“…It should be considered that vegetative propagation in sweet potato maintains dominance and epistasis effects between crop cycles [55]. Therefore, selected superior genotypes must have several favorable attributes simultaneously because selection based on single traits can result in unsatisfactory performance in other traits [56,57].…”

Section: Agronomic Performance Of Selected Genotypes In Aetmentioning

confidence: 99%

Sweet Potato Varietal Selection Using Combined Methods of Multi-Trait Index, Genetic Gain and Stability from Multi-Environmental Evaluations

Rosero,

Burgos-Paz,

Araujo

et al. 2023

Horticulturae

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Adaptation to several environmental conditions is a challenge for breeders for producing new varieties. Breeders select genotypes which show higher performance according to desired traits compared to the average of a large segregant population. In several crops, the selection index is mainly based on traits such as yield, quality, adequate plant architecture, etc. Therefore, multi-trait selection allows for the identification of genotypes that integrally exhibit a better profile and stability, in addition to the dissection of promising varieties based on their superiority in an evaluated population. In this paper, a multi-trait index included in an R tool named CropInd was used to estimate the agronomic performance of 19 sweet potato genotypes in multi-environmental evaluations (three cycles and eight locations). Here, the multi-trait index incorporated variables such as total and commercial fresh root yield, along with survival percentage, which were used in this study. Simultaneously, stability and genetic gain analysis were included to select superior sweet potato genotypes. Results showed that the CropInd script is a suitable and convenient tool for genotype selection based on multi-trait and multi-environmental data. Indexes for specific environment and general behavior (combining multi-environments) were the main output used for genotype selection. Multi-trait selection index, stability, and genetic gain analysis assisted the phenotypic selection performed by breeders. This study resulted in the selection of 0113-672COR as new variety for the Colombian Caribbean region due to its multi-trait performance and stability.

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Section: Agronomic Performance Of Selected Genotypes In Aetmentioning

confidence: 99%

Sweet Potato Varietal Selection Using Combined Methods of Multi-Trait Index, Genetic Gain and Stability from Multi-Environmental Evaluations

Rosero,

Burgos-Paz,

Araujo

et al. 2023

Horticulturae

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Early generation clonal selection of sweetpotato (Ipomoea batatas (L.) Lam) using an accelerated breeding scheme

Naidoo,

Laurie,

Booyse

et al. 2024

Euphytica

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The breeding stages of a clonally propagated crop entails several steps and can take more than five years from hybridisation till cultivar release. The Accelerated Breeding Scheme (ABS) in sweetpotato relies on the use of multiple locations at the early breeding stages to reduce the years required for field evaluation. The aim of the study was to select the best progenies based on the ABS in sweetpotato towards the development of genotypes that combine high protein content with other important agronomic traits. Botanical seeds were generated from crosses between two diverse sets of parents, crossed using a North Carolina II design. F1-progenies (n = 363) were planted in a lattice design at three distinct locations during the 2017/18 planting season. Parameters recorded included pest and disease infestation, storage root traits and yield components, root protein content and nutrient related traits. Nutrient content was determined by near-infrared spectrometry. Analysis of variance and multiple t-distribution test and best test grouping were performed. There were significant differences (p < 0.001) among the genotypes for total number of roots, total root yield, marketable number of roots and marketable yield. The severity of Alternaria blight was significantly higher at Jozini. Forty progenies were selected (12.8% selection pressure) based on agronomic performance. Using the nutrient content results, four promising orange-fleshed clones (NC12-9, NC53-11, NC55-8, NC55-2) and one cream-fleshed clone (NC51-1) were identified with high storage root protein, iron and zinc contents. NC51-1 and NC55-2 produce promising storage root yields. The ABS approach is resource-demanding in the first phase but advances progenies rapidly to the subsequent breeding phases for cultivar release.

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Sweet potato (Ipomoea batatas L.) genotype selection using advanced indices and statistical models: A multi-year approach

Alam,

Akter,

Khan

et al. 2024

Heliyon

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Mixed model-based indices for selection of sweet potato genotypes for different agronomic aptitudes

Cited by 3 publications

References 31 publications

Sweet Potato Varietal Selection Using Combined Methods of Multi-Trait Index, Genetic Gain and Stability from Multi-Environmental Evaluations

Sweet Potato Varietal Selection Using Combined Methods of Multi-Trait Index, Genetic Gain and Stability from Multi-Environmental Evaluations

Early generation clonal selection of sweetpotato (Ipomoea batatas (L.) Lam) using an accelerated breeding scheme

Sweet potato (Ipomoea batatas L.) genotype selection using advanced indices and statistical models: A multi-year approach

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