Genotype-by-environment interaction analysis of nutritional composition in newly-developed sweetpotato clones

Gurmu, Fekadu; Shimelis, Hussein; Laing, Mark; Mashilo, Jacob

doi:10.1016/j.jfca.2020.103426

Cited by 15 publications

(10 citation statements)

References 47 publications

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“…(2015) and [ 35 ] Azene and Molla (2017) have also reported similar results on oxalic and moisture content in taro. The finding of the research also agrees with the works of [ 36 ] Gurmu et al . (2020) and [ 19 ] Tumwegamire et al .…”

Section: 0 Discussionsupporting

confidence: 93%

Evaluation and phenotypic plasticity of taro [Colocasia esculenta (l.) Schott.] genotypes for nutrient and anti-nutrient composition

Donkor,

Nyadanu,

Akromah

et al. 2023

PLoS ONE

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The study was carried out to determine the nutritional and anti-nutritional composition of taro genotypes and also determine the phenotypic plasticity of the genotypes in two agro ecological zones in Ghana. The towns and zones were Bunso in the semi deciduous forest (an upland) and Tano Dumasi in the forest savannah transition agro-ecological (a waterlogged area) zone in the Eastern and Ashanti regions respectively.Two (2) freshly harvested corms of each genotype from each location were assessed for their nutritional (moisture, protein, carbohydrate, ash and fat) and anti-nutritional (phytate, oxalate and tannin) composition Data collected were subjected to analysis of variance and AMMI analysis using GenStat 12 edition to assess the effect of genotype, environment and their interaction on the traits studied. Phenotypic plasticity for the genotypes and the traits studied was also calculated. Pearson correlation was also conducted to assess the relationship between the traits studied. There were significant differences among the genotypes for nutrient and anti-nutrient composition except for percentage fat, indicating enough genetic variability among the genotypes, giving room for good selection progress for development of taro varieties. A higher magnitude of the environment over genotype and genotype by environment interaction observed indicates the influence of environment in the expression of the nutritional and anti-nutritional traits. Observed varied phenotypic plasticity among the genotypes for the nutrient and anti-nutrients composition also indicates varied adaptation of the genotypes to the environment. Genotypes BL/SM/115, CE/MAL/32 and CE/IND/16 and hybrids KAO19 × CE/MAL/32 and CE/IND/16×KAO19, CE/IND/16 × BL/SM/10, and CE/IND/16 × BL/SM/115 which recorded high nutrients and low anti-nutrients content and were stable across the environments can be released to farmers for cultivation. They could also be included in breeding programs for the development of enhanced nutritional quality of taro in Ghana.

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Section: 0 Discussionsupporting

confidence: 93%

Evaluation and phenotypic plasticity of taro [Colocasia esculenta (l.) Schott.] genotypes for nutrient and anti-nutrient composition

Donkor,

Nyadanu,

Akromah

et al. 2023

PLoS ONE

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“…These findings could be attributed to the enhanced soil fertility of ENV1 and ENV2 having the highest concentration of nutrients including Mg, Ca, clay and silt. Many studies demonstrated that the protein content was mostly affected by the environment, indicating its sensitivity to the environment [18,35,36,38] and that the soil nutrient supply affected positively the yield and the quality characteristics of the crop products [39].…”

Section: Correlation and Evaluation Of The Yield Soil Properties And Quality Characteristics Vs The Genotype And Environment On Maize Culmentioning

confidence: 99%

“…Generally, all genotypes were located far from the biplot origin and contribute to the G×E interaction for yield. AMMI analysis is widely used for the evaluation of maize hybrids yield in multienvironment field trials [20,24,25,[41][42][43], and grain yield of wheat varieties [22,36,[44][45][46], seed yield of oilseed rape [23], nutritional composition of sweet potato [38], yield of sugarcane [47] and yield of chickpea [48]. As for the protein content, according to the ANOVA, genotypes (G), environments (E) and their interaction (GxE) gave statistically significant values (p < 0.001).…”

Section: Ge Interaction For Yield Protein and Fiber Contentmentioning

confidence: 99%

“…The first one consisted of ENV10, ENV7, ENV5, ENV2, ENV6, ENV8, ENV9 and ENV4 in which GEN2 was the genotype that presented better results and the other one consisted of ENV1 and ENV3 that had GEN4 as the better suited genotype. The AMMI statistical model has been used to evaluate the effects of genotypes, environments and their interaction for quality characteristics, like iron and zinc concentrations in the grain of maize [49], protein and tryptophan in maize [50], nutritional composition (protein, β-carotene, iron, zinc, starch and sucrose) in sweet potato [38] and vitreousness, SDS sedimentation test, yellow pigment index, protein content and test weight in durum wheat [46].…”

Section: Ge Interaction For Yield Protein and Fiber Contentmentioning

confidence: 99%

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Genotype × Environment Interaction of Yield and Grain Quality Traits of Maize Hybrids in Greece

Katsenios¹,

Sparangis²,

Chanioti

et al. 2021

Agronomy

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The interaction of genotype by the environment is very common in multi-environment trials of maize hybrids. This study evaluates the quantity and the quality of grain production and the stability of four maize genotypes in a field experiment that was conducted in five different locations for two years. In order to make a reliable evaluation of the performance of genotypes in the environments, principal components analysis (PCA) was used to investigate the correlation of the yield, soil properties and quality characteristics, while the additive main effects and multiplicative interaction (AMMI) analysis detected the narrow adaptations of genotypes at specific mega-environments. For the yield, AMMI analysis indicated that a group of five environments (ENV1, ENV8, ENV6 ENV10 and ENV9) gave higher yields than the mean value and at the same time had low first interaction principal components axis (IPC1) scores, indicating small interactions. Regarding protein and fiber contents, ENV1 and ENV2, gave the highest values and this could be attributed to the high concentration rates of nutrients like Mg, Ca and the soil texture (C). Specifically for the protein, the results of the analysis indicated that certain environment would provide more protein content, so in order to obtain higher grain protein, growers should grow in certain locations in order to improve the content of this quality characteristic, certain genotypes should be used in certain environments.

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“…However, different agro-ecological conditions have also been reported to alter the concentration of bioactive compounds ( Motsa et al, 2015 , Rautenbach et al, 2010 ). Very few studies have analyzed the effect of location conditions on the proximate composition of the sweet potatoes roots and their findings were diverse ( Gurmu et al, 2020 , Tumwegamire et al, 2011 , Tumwegamire et al, 2016 ). Furthermore, the root development stage at the moment of harvest may also play an important role in its antioxidant compounds and nutritional profile.…”

Section: Introductionmentioning

confidence: 99%

Growing location and root maturity impact on the phenolic compounds, antioxidant activity and nutritional profile of different sweet potato genotypes

Pazos

Zema²,

Corbino³

et al. 2022

Food Chemistry: Molecular Sciences

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Genotype-by-environment interaction analysis of nutritional composition in newly-developed sweetpotato clones

Cited by 15 publications

References 47 publications

Evaluation and phenotypic plasticity of taro [Colocasia esculenta (l.) Schott.] genotypes for nutrient and anti-nutrient composition

Evaluation and phenotypic plasticity of taro [Colocasia esculenta (l.) Schott.] genotypes for nutrient and anti-nutrient composition

Genotype × Environment Interaction of Yield and Grain Quality Traits of Maize Hybrids in Greece

Growing location and root maturity impact on the phenolic compounds, antioxidant activity and nutritional profile of different sweet potato genotypes

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