Genotype and growing environment influence chickpea (<i>Cicer arietinum</i> L.) seed composition

Frimpong, A.; Sinha, Asru K.; Tar’an, Bunyamin; Warkentin, Thomas D.; Gossen, B. D.; Chibbar, Ravindra N.

doi:10.1002/jsfa.3690

Cited by 58 publications

(59 citation statements)

References 31 publications

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“…This is in agreement with the findings of other authors who have studied some of these components (Gil et al, 1996;Tayyar et al, 2008;Frimpong et al, 2009;Ali et al, 2011). For amylose and amylopectin content, two types of glucose polymer The positive association between mouth thickness and HI indicate that the rougher the seed, the higher the HI.…”

Section: Discussionsupporting

confidence: 94%

“…Significant genotype (G) × environment (E) interactions have also been reported for some grain nutritional quality traits in chickpea (Ghirardi et al, 1974;Berger et al, 2006;Frimpong et al, 2009), fatty acids and tocopherols , grain canning quality (Nleya et al, 2002) and milling traits, such as dehulling efficiency and splitting yield (Wood et al, 2008). These results suggest that the GE interaction for quality traits has important implications in developing selection strategies for plant breeding programs.…”

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confidence: 89%

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Genotype and environment effects on sensory, nutritional, and physical traits in chickpea (Cicer arietinum L.)

Cobos

Izquierdo²,

Sanz

et al. 2017

Span. j. agric. res.

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protein quality is better than other legumes such as dry bean, pigeonpea, black gram and green gram (Friedman, 1996;Kaur et al., 2005). Overall, chickpea seed has good nutritional value; it has low levels of anti-nutritional factors and it is rich in some minerals and vitamins RESEARCH ARTICLE OPEN ACCESS AbstractThe development of chickpea cultivars with high quality grains for human consumption is an important objective in breeding programs. Genotype and environment effects on seed quality traits (sensorial, nutritional and physical) were studied in chickpea dry grain. Twenty genotypes were grown in winter and spring sowings over two campaigns in four different locations in southern Spain. Significant differences were observed in oil, acid detergent fiber (ADF) and protein content between sowing times (S). In winter, oil and ADF content were higher, while protein content was lower. Although, in general, highly significant variation was detected for genotype (G), environment (E) and single interactions (GE, GS and ES), the genotype effect was stronger for ADF, neutral detergent fiber (NDF), oil, starch and protein content, and for physical and sensory traits (r 2 >27%). In contrast, environment played an important role in variation in the content of amylose and amylopectin (r 2 =71.7%). No high relationships were found between the sensory and nutritional or physical characteristics studied. In general, our results suggest a high genetic gain for seed quality in nutritional, physical and sensory traits in chickpea. Genotypes with good seed sensory quality should be selected in the final stages of the breeding program, because it is not feasible to evaluate very large numbers of samples. However, in some cases, moderate correlations were found between sensory and either nutritional or physical traits. Therefore, indirect selection to increase the frequency of genes for sensory traits in an early stage should be considered.Additional key words: seed quality; sowing time; organoleptic traits; principal component analysis; genotype-environment interaction.Abbreviations used: ADF (acid detergent fiber); CT (seed coat thickness); E (environment); ES (environment-sowing time interaction); G (genotype); GE (genotype-environment interaction); GES (genotype-environment-sowing time interaction): GS (genotype-sowing time interaction); HI (hydration index); NDF (neutral detergent fiber); NIRS (near infrared reflectance spectroscopy); PCA (principal component analysis); r 2 (determination coefficient of the cross validation); R 2 (determination coefficient of the calibration); S (sowing time); SEC (typical error of the calibration); SECV (typical error of cross validation); SW (seed size).

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Section: Discussionsupporting

confidence: 94%

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confidence: 89%

Genotype and environment effects on sensory, nutritional, and physical traits in chickpea (Cicer arietinum L.)

Cobos

Izquierdo²,

Sanz

et al. 2017

Span. j. agric. res.

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“…The germplasm collection used in the present study included genotypes from different geographical regions of the world corresponding to chickpea production areas (FAOSTAT, 2014). The higher TSW (grams) and total starch concentration (percentage) in kabuli genotypes ( average values for protein (20.8 ±2.6 and 21.3 ±3.3%) and amylose (32.4 ±1.7 and 32.2 ±1.7% of total starch) concentrations did not show significant difference between desi and kabuli genotypes, respectively, which was also in agreement with previous results (Frimpong et al, 2009). 1), which makes the chickpea germplasm collection valuable for future studies to identify and characterize genomic regions associated with seed-quality traits using association or linkage mapping approaches.…”

Section: Discussionsupporting

confidence: 92%

“…These results were in agreement with the conclusions of previous studies on chickpea (Frimpong et al, 2009;Gangola et al, 2012;Gangola et al, 2013), lentil (Lens culinaris, Tahir et al, 2011), soybean (Glycine max, Kumar et al, 2010), and barley (Hordeum vulgare L., Cory et al, 2017). Therefore, distinct environments may not follow the same effect or correlations among seed-quality traits studied.…”

Section: Discussionsupporting

confidence: 92%

Variation in Seed‐Quality Traits of Chickpea and Their Correlation to Raffinose Family Oligosaccharides Concentrations

et al. 2017

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Genetic resources with desired seed composition are needed to improve nutritional quality of chickpea (Cicer arietinum L.) seeds. A germplasm collection of 171 chickpea genotypes (desi and kabuli types) was characterized for selected seed quality traits (thousand‐seed weight [TSW], starch, protein, and amylose) in one greenhouse and two field trials. Kabuli‐type chickpea genotypes (115.7 to 537.4 g and 36.2 to 49.0%) had higher TSW and starch concentrations than desi types (114.6 to 332.4 g and 32.4 to 42.9%), respectively. Desi type chickpea genotypes (16.7 to 27.5%) showed a higher range for protein concentration than kabuli types (17.1 to 24.8%). However, amylose concentration did not vary significantly between desi (29.7 to 34.4%) and kabuli (29.2 to 35.0%) type chickpea genotypes. Genotype, environment, and their interaction showed a significant impact on selected seed‐quality traits. Among the chickpea seed‐quality traits studied, seed weight was the most heritable trait, and it showed significant positive correlation with starch concentration. Protein, amylose, and total raffinose family oligosaccharides (RFO) had significant negative correlation with TSW. However, total RFO concentration showed significant positive correlation to both starch and protein concentrations. The identified desi and kabuli genotypes can be used as new genetic resources in chickpea improvement programs to develop chickpea varieties with enhanced nutritional composition.

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“…Inter-varietal differences in protein content were also observed among the six arid legumes (Table 2). Environment has a significant influence on the protein content of grain legumes (Oluwatosin, 1997;Saxena et al, 2002;Frimpong et al, 2009). Intra-varietal and intra-plant variability in grain protein due to fluctuating environment was also observed (Gueguen and Barbot, 1988;Crochemore et al, 1994;Atta et al, 2004).…”

Section: Resultsmentioning

confidence: 87%

Grain protein estimation and SDS-PAGE profilingof six important arid legumes

Jukanti

Dagla

Kalwani

et al. 2017

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Grain protein content and protein profiles of six arid grain legumes belonging to three different tribes were studied. Average grain protein (per cent) of horse gram, cowpea, moth bean, guar, chickpea and green gram was 20. 29, 22.8, 22.6, 20.6, 21.82, and 20.40 respectively. All the six arid legumes were clearly differentiated based on the protein banding patterns generated through SDS-PAGE. The molecular weight range of proteins in different legumes was observed to be ~16 tõ 250kD. Interestingly, in chickpea, moth bean and horse gram proteins >100kD were not mostly observed. Further, distinct proteins were observed indicating inter-varietal differences in horse gram (CRHG-19), cowpea (RC-101) and guar , which could be useful in varietal identification. The different legumes were broadly clustered in to four clusters. Further, chickpea (Cicereae), green gram and cowpea (Phaseoleae) were clustered together. The similarity indexes of varieties and individual crops ranged from 0.667 to 0.950 and 0.425 to 0.821 respectively. Though the six legumes belong to Leguminosae they have distinct protein profiles which could be useful in species/varietal identification.

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Genotype and growing environment influence chickpea (Cicer arietinum L.) seed composition

Cited by 58 publications

References 31 publications

Genotype and environment effects on sensory, nutritional, and physical traits in chickpea (Cicer arietinum L.)

Genotype and environment effects on sensory, nutritional, and physical traits in chickpea (Cicer arietinum L.)

Variation in Seed‐Quality Traits of Chickpea and Their Correlation to Raffinose Family Oligosaccharides Concentrations

Grain protein estimation and SDS-PAGE profilingof six important arid legumes

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