Genotype x environment interaction and yield stability estimate of some sweet potato [Ipomoea batatas (L.) Lam] breeding lines in South Africa

O., P.

doi:10.5897/jpbcs2013.0387

Cited by 24 publications

(13 citation statements)

References 9 publications

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“…Moreover, GE becomes G when environments are subdivided into mega-environments. Sweetpotato root yields are highly affected by environment, also indicated by previous G × E studies (Adebola et al, 2013;Grüneberg et al, 2004Grüneberg et al, , 2005Gurmu et al, 2017;Tumwegamire et al, 2016). In agreement with a study from Papua New Guinea (Wera et al, 2018), the calculated megaenvironments were formed relating to the distinctiveness of major AEZ in which the trials were conducted.…”

Section: Crop Sciencesupporting

confidence: 86%

“…In cases where variance component estimations due to G × E (σ 2 G×E ) in METs are larger than variance component estimations due to genotypes (σ 2 G ), an analysis of G × E interactions should be undertaken (Fox, Crossa, & Romagosa, 1997). For sweetpotato storage root yield, the main commercial trait in this crop, large G × E interaction have been reported across environments in Kenya and Uganda (Grüneberg, Abidin, Ndolo, Pereira, & Hermann, 2004;Tumwegamire et al, 2016), over diverse environments in Peru (Grüneberg, Manrique, Zhang, & Hermann, 2005), in South Africa (Adebola, Shegro, Laurie, Zulu, & Pillay, 2013), and in Ethiopia (Gurmu, Hussein, & Laing, 2017). These studies highlight the importance of breeding regionally adapted material and testing new genotypes under conditions similar to the targeted population of environments.…”

Section: Introductionmentioning

confidence: 99%

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Variance component estimations and mega‐environments for sweetpotato breeding in West Africa

Swanckaert¹,

Akansake²,

Adofo

et al. 2020

Crop Science

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The current study was aimed at identifying mega‐environments in Ghana and evaluating adaptability of superior sweetpotato [Ipomoea batatas (L.) Lam.] genotypes from a targeted breeding effort. Three sets of genotypes were evaluated in multi‐environment trials (MET). Twelve sweetpotato varieties were evaluated across nine environments representing the main agro‐ecological zones in Ghana. MET analysis was conducted using a stage‐wise approach with the genotype × environment (G × E) table of means used as a starting point to model the G × E interaction for sweetpotato yield. Emphasis was given to the genetic correlation matrix used in a second‐order factor analytic model that accommodates heterogeneity of genetic variances across environments. A genotype main effect and G × E interaction of storage root yield explained 82% of the variation in the first principal component, and visualized the genetic variances and discriminating power of each environment and the genetic correlation between the environments. Two mega‐environments, corresponding to northern and southern trial sites, were delineated. Six breeding lines selected from the south and eight breeding lines selected from the north were tested and compared to two common check clones at five locations in Ghana. A Finlay–Wilkinson stability analysis resulted in stable performances within the target mega‐environment from which the genotypes were selected, but predominantly without adaptation to the other region. Our results provide a strong rationale for running separate programs to allow for faster genetic progress in each of these two major West African mega‐environments by selecting for specific and broad adaptation.

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Section: Crop Sciencesupporting

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Variance component estimations and mega‐environments for sweetpotato breeding in West Africa

Swanckaert¹,

Akansake²,

Adofo

et al. 2020

Crop Science

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“…This requires continuous selection of genetically fixed, stable and high yielding clones across representative sites in Rwanda. Moreover, fertilizers, pesticides and irrigation were not applied in this study, whereas they were in the other trials such as reported by Adebola et al (2013). …”

Section: Discussionmentioning

confidence: 82%

“…Previous reports pointed out highly significant ( P < 0.001) effects of environment, genotype and genotype by environmental interactions on qualitative and quantitative traits of sweetpotatoes (Mwololo et al, 2009; Adebola et al, 2013; Kathabwalika et al, 2013). In the present study significant interactions between family and site were observed affecting yields of storage roots and vines, total biomass and DMC of storage roots of sweetpotato.…”

Section: Discussionmentioning

confidence: 93%

“…In Uganda Gasura et al (2010) reported three classes; high yielding (18-30 t ha −1 ), moderately yielding (11-17 t ha −1 ) and low yielding (<11 t ha −1 ) sweetpotato genotypes. Storage root yields ranging between 63.3 and 22.1 t ha −1 have been reported in South Africa (Adebola et al, 2013). The storage root yields found in this study were much lower than in these reports.…”

Section: Discussionmentioning

confidence: 98%

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Combining Ability, Maternal Effects, and Heritability of Drought Tolerance, Yield and Yield Components in Sweetpotato

et al. 2017

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Knowledge on gene action and trait expression are important for effective breeding. The objective of this study was to determine the general combining ability (GCA), specific combining ability (SCA), maternal effects and heritability of drought tolerance, yield and yield components of candidate sweetpotato clones. Twelve genotypes selected for their high yield, dry matter content or drought tolerance were crossed using a full diallel mating design. Families were field evaluated at Masoro, Karama, and Rubona Research Stations of Rwanda Agriculture Board. Success rate of crosses varied from 1.8 to 62.5% with a mean of 18.8%. Family by site interaction had significant effect (P < 0.01) on storage root and vine yields, total biomass and dry matter content of storage roots. The family effects were significant (P < 0.01) for all parameters measured. Broad sense heritability estimates were 0.95, 0.84, 0.68, 0.47, 0.74, 0.75, 0.50, and 0.58 for canopy temperature (CT), canopy wilting (CW), root yield, skin color, flesh color, dry matter content, vine yield and total biomass, respectively. The GCA effects of parents and SCA effects of crosses were significant (P < 0.01) for CT, CW, storage root, vine and biomass yields, and dry matter content of storage root. The ratio of GCA/SCA effects for CT, CW, yield of storage roots and dry matter content of storage roots were higher than 50%, suggesting the preponderance of additive over non-additive gene action in the expression of these traits. Maternal effects were significant (P < 0.05) among families for CT, CW, flesh color and dry matter content, vine yield and total biomass. Across sites, the best five selected families with significant SCA effects for storage root yield were, Nsasagatebo × Otada 24, Otada 24 × Ukerewe, 4-160 × Nsasagatebo, K513261 × 2005-034 and Ukerewe × K513261 with 11.0, 9.7, 9.3, 9.2, 8.6 t/ha, respectively. The selected families are valuable genetic resources for sweetpotato breeding for drought tolerance, yield and yield components in Rwanda or similar environments.

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Sustainable sweetpotato production in the United States: Current status, challenges, and opportunities

George,

Reddy,

Wadl

et al. 2024

Agronomy Journal

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Sweetpotato (Ipomoea batatas L.) is an important staple crop cultivated in over 100 countries, and the storage roots and vines provide food for humans and livestock. Sweetpotato consumption and demand for its value‐added products have increased significantly in the last two decades and have led to new cultivar development, expansion in acreage, and increased demand in the United States and its export markets. Despite the known nutritional components and other health benefits, further research is needed to characterize the genetic diversity and chemical composition related to their storage root qualities, essential in developing consumer‐preferred cultivars that offer host plant resistance against pests and pathogens. There is a critical need for research on non‐pesticidal control approaches that can provide safe, effective, economical, sustainable, and environmentally sound pest and disease management techniques, especially for socially disadvantaged small farmers in the United States. Moreover, climate change can significantly impact future production practices and yield and may directly or indirectly affect crop pests, weeds, and diseases. In this review, we discuss the current status, challenges, and future approaches associated with sweetpotato production practices; health‐promoting properties of sweetpotato cultivars; value‐added products; genetic diversity and germplasm; pest and disease management; weed and water management; pollination ecology; and other agronomic and cultural practices that may impact sustainable sweetpotato production by small‐scale, organic, and large‐scale growers.

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Genotype x environment interaction and yield stability estimate of some sweet potato [Ipomoea batatas (L.) Lam] breeding lines in South Africa

Abstract: Key words: Additive main effects and multiplicative interaction (AMMI) model, breeding lines, genotype by environment interaction, stability; sweet potato.

Cited by 24 publications

References 9 publications

Variance component estimations and mega‐environments for sweetpotato breeding in West Africa

Variance component estimations and mega‐environments for sweetpotato breeding in West Africa

Combining Ability, Maternal Effects, and Heritability of Drought Tolerance, Yield and Yield Components in Sweetpotato

Sustainable sweetpotato production in the United States: Current status, challenges, and opportunities

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