Multi environment testing reveals genotype-environment interaction for curcuminoids in turmeric (Curcuma longa L.)

Aarthi, S.; Suresh, J.; Leela, N. K.; Prasath, D.

doi:10.1016/j.indcrop.2020.112090

Cited by 25 publications

(13 citation statements)

References 20 publications

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“…This suggests the importance of assessment of accessions under different environments to identify better performing accessions. Effects of GEI on crop evaluation have been reported in various studies (Aarthi et al, 2020;Rubilar et al, 2020;Olanrewaju et al, 2021). However, the accessions showed significant variation in plant height, which is contrary to the reports of Ntundu et al (2006) in Tanzania and Shegro et al (2013) in South Africa.…”

Section: Discussionmentioning

confidence: 72%

Genetic Diversity and Environmental Influence on Growth and Yield Parameters of Bambara Groundnut

et al. 2021

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Bambara groundnut (BGN) is a drought-tolerant crop majorly cultivated in sub-Saharan Africa. Due to a lack of extensive research, marginalization, lack of awareness, and lack of available fund among others, this crop's improvement has been limited. The development of this crop depends on evaluation and selection of unique and stable breeding lines in different environments. This study aims to estimate genetic diversity using morphological traits at different locations in 95 accessions of BGN collected from the Genebank of the International Institute of Tropical Agriculture (IITA), Ibadan. The experiment was carried out in three replicates at IITA experimental sites in two agroecological zones in Ibadan (7°40′19.62″ N, 3°91′73.13″ E) and Ikenne (6°51′00.873″ N, 3°41′48.528″ E) using a randomized complete block design. Ten vegetative growth traits and eight yield traits were scored. The data was subjected to ANOVA, PCA, correlation, and cluster analysis. Estimations of genetic parameters and broad sense heritability were carried out on the traits. ANOVA revealed significant variation in each trait except for days to emergence. Significant variation was also observed for accession and location interactions (genotype x environment interactions) for plant height, leaf length, leaf width, chlorophyll content, number of petioles, germination count, number of pods, number of seeds, seed length, seed width, and yield. PC1 and PC2 show 42.3% of the total variations observed by the PC, with seed thickness contributing more to PC1 and the number of seeds contributing more to PC2. Cluster analysis categorized the accessions into four distinct groups. The number of pods had the highest genotypic coefficient of variation of 32.55% and the phenotypic coefficient of variation of 97.61%, while seed length (0.63), seed width (0.54), and seed thickness (0.58) have high heritability values. The genetic advance was highest in yield (76.15%) and lowest in days to 50% germination (0.21%). This study can be used to predict appropriate agroecological zones for the planting of BGN while the knowledge of the diversity of the accessions based on the traits could serve a guide in selecting the best trait for the improvement of the crop.

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Section: Discussionmentioning

confidence: 72%

Genetic Diversity and Environmental Influence on Growth and Yield Parameters of Bambara Groundnut

et al. 2021

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“…The presence of such interaction complicates the efficiency of selection and there need to assess the nature and magnitude of GEI. As the standard combined analysis of variance (ANOVA) only quantifies the significance of interaction effect ( Asnake et al., 2013 ), additive main effect and multiplicative interaction (AMMI) and genotype plus genotype-by-environment interaction (GGE) biplot models can efficiently examine GEI patterns graphically by using of principal component axes (PCAs) ( Yuksel et al., 2002 ; Ding et al., 2007 ; Aarthi et al., 2020 ). In this work, the canning and cooking quality of the newly developed large-seeded bean genotypes and the GEI effect on beans quality traits were studied.…”

Section: Introductionmentioning

confidence: 99%

Genotype-by-environment interaction on canning and cooking quality of advanced large-seeded common bean genotypes

Gelete

Mekbib

Fenta

et al. 2021

Heliyon

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Developing beans for high canning and cooking quality has been a major concern of plant breeders as the demand of consumers for beans in terms of quality is increasing. This study determined the effect of genotype-by-environment (GEI) on canning and cooking quality of common beans. Twenty three newly developed large-seeded bean genotypes and two standard checks collected from five growing sites of Ethiopia were tested using randomized completed block design with three replicates. Additive main effect and multiplicative Interaction (AMMI) and genotype plus genotype-by-environment interaction (GGE) biplot models were used in the data analysis. Genotypes were genetically different (P ≤ 0.01) for all of the quality traits varied from 42.3 to 57.4 minutes for cooking time and 260.4–278.6g for washed drained weight. Percent washed drained weight of all the tested genotypes was >60%, as required by processors. However, hydration coefficient (HC) was below the desired optimum level of 1.8, which could be improved through prolonged soaking period. From moderate to no clumping, and from moderately clear to clear brine were observed for canned beans. Generally, the newly developed genotypes had better canning and cooking quality except for HC. However, GEI exerted considerable effect on the quality traits especially cooking time. The interaction effect (34.25%) shared nearly three times greater effect than genotype (13.31%) and environment (11.44%); hence highly determined the cooking time. Both AMMI2 and GGE polygon view biplots captured 69.05 and 74.10% of the GEI variation, respectively, using the first and the second principal component axes (PCAs). In conclusion, plant breeders should think of GEI when testing beans for canning and cooking quality at substantial environments.

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“…Noticeably high BDMC was observed in Waigaon turmeric compared to other samples. The variations in the BDMC, DMC and CUR among the genotypes were based on many reasons, such as the variety, geographic location, cultivation as well as post-harvest processing conditions (Anandaraj et al 2014;Aarthi et al 2020).…”

Section: Resultsmentioning

confidence: 99%

Comprehensive assessment of phytometabolites and health benefits of Geographical Indication turmeric in India

Jose

Bhabhina

Leela

et al. 2022

J Spices Arom Crops

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The interest and demand for the Geographical Indication (GI) turmeric have increased significantly in recent years as research unfolds their unique benefits. Still, their comprehensive and comparative metabolite profile remains to be analysed in detail from a nutritional perspective. This investigation reports phytochemical constituents, nutraceuticals, and bioactivities of four GI turmeric (Erode turmeric, Kandhamal haldi, Waigaon turmeric and Sangli turmeric) in India. The results revealed considerable differences in major quality parameters viz., essential oil (4.00-5.60%), oleoresin (8.36-18.12%) and curcuminoids (2.23-5.50%). Among the GIs, Waigaon turmeric was superior in terms of quality parameters and rhizome traits. The Erode turmeric contained significantly high protein (4.64%) and several minerals (K, Ca, Fe and Mg). The IC50 values of DPPH scavenging assays (160.72 – 194.25 μg ml-1) and α-glucosidase inhibitory assays (126.50 – 146.57 μg ml-1) ensured the potent antioxidant and anti-diabetic activities of GI turmeric. The GC-MS profile of essential oil unveiled six major compounds such as, ar-turmerone, β-sesquiphellandrene, α-zingiberene, α-curcumene, α-turmerone, and curlone. The brightest yellow colour was observed in Sangli turmeric and dark orange in Waigon turmeric, based on L*, a* and b* values. All the four GI turmeric varieties are good sources of spice for people to consume but Waigaon turmeric was found to be superior among them.

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Multi environment testing reveals genotype-environment interaction for curcuminoids in turmeric (Curcuma longa L.)

Cited by 25 publications

References 20 publications

Genetic Diversity and Environmental Influence on Growth and Yield Parameters of Bambara Groundnut

Genetic Diversity and Environmental Influence on Growth and Yield Parameters of Bambara Groundnut

Genotype-by-environment interaction on canning and cooking quality of advanced large-seeded common bean genotypes

Comprehensive assessment of phytometabolites and health benefits of Geographical Indication turmeric in India

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