Genotype-by-Environment Interaction in Sweet and Bitter Sensory Attributes of Peanut

1997 ◽  
Vol 24 (2) ◽  
pp. 117-123 ◽  
Author(s):  
H. E. Pattee ◽  
T. G. Isleib ◽  
F. G. Giesbrecht
Keyword(s):  
Sensory Evaluation ◽  
Genotype By Environment Interaction ◽  
Sensory Attributes ◽  
Environment Interaction ◽  
Roasted Peanut ◽  
Breeding Lines ◽  
Sensory Data ◽  
Arachis Hypogaea L ◽  
Efficient Scheme ◽  
The Mean

Abstract Although there have been recent studies of the roasted peanut sensory attribute of roasted peanut (Arachis hypogaea L.), there is little information on the factors influencing the sweet and bitter attributes. A study was conducted to test the significance of the effects of genotype, environment, and their interaction on the sweet and bitter attributes, to estimate genotypic means of these sensory attributes, and to determine an efficient scheme of resource allocation for multiple-site testing of breeding lines for sweet and bitter attributes. Samples of sound mature kernels from 17 genotypes grown at 42 different location-year combinations were stored under 5 C and 60% RH, roasted to nearly common color, ground into paste, and tasted by a trained sensory evaluation panel. Results for the roasted peanut attribute were similar to those found in previous studies. Significant variation among years was observed for bitter but not for sweet. There were no consistent differences among the three main peanut production regions for either attribute, but there was significant year-by-region interaction for sweet. Variation among locations within years and regions was significant for both attributes as was variation among genotypes. The mean flavor profile for the runner market class was significantly better than the mean for the virginia class in sweet, bitter and roasted peanut, but the distributions of the two classes did overlap. Significant correlations of genotypic means for the three attributes indicated that chemical assays for currently unidentified sweet or bitter principles could be used for indirect selection to improve roasted peanut attribute without the need for expensive and time-consuming sensory evaluation. Significant genotype-by-year interaction for bitter makes it necessary to acquire sensory data from 2 yr with three replications at each of four locations or two replications at each of five locations to differentiate statistically between means differing by half a flavor intensity unit. The precision of comparisons for sweet and roasted peanut will be more precise than that for bitter at a given arrangement of testing resources.

scholarly journals Trends in Sensory Quality of Roasted Peanuts Across 15 Years (1986–2000)

2004 ◽  
Vol 31 (1) ◽  
pp. 45-50 ◽  
Author(s):  
H. E. Pattee ◽  
T. G. Isleib ◽  
D. W. Gorbet
Keyword(s):  
Sensory Quality ◽  
Cultural Practices ◽  
Genotypic Variation ◽  
Genotype By Environment Interaction ◽  
Sensory Attributes ◽  
Environment Interaction ◽  
Roasted Peanut ◽  
Data Set ◽  
Over Time

Abstract Enhancement of flavor of roasted peanut (Arachis hypogaea L.) has been a long-standing objective of the peanut industry. Studies relative to roasted peanut flavor variation have separated the effects of genotype, environment, and genotype-by-environment interaction on the sensory attributes roasted peanut, sweet, bitter, and astringent. Much of the focus of these studies has been on the genotypic variation and the possibility of genetic improvement of peanut flavor. However, most of the variation in sensory attributes is caused by non-genetic factors. Years were found to be the largest single source of variation for the sensory attributes roasted peanut and bitter. Because roasted peanut is the sensory attribute most important to the peanut consumer, it is important to know if the observed year effects varied randomly or if there was any directional trend in peanut flavor over time. Examination of a 15-yr data set for directional trends in peanut flavor indicated that all three sensory attributes (roasted peanut, sweet, and bitter) exhibited adverse trends across the span of this study. These trends were independent of whether or not the effects of years were unadjusted for other effects or adjusted for the effects of regions, locations within regions, and the covariates fruity attribute intensity and roast color. The nature of the evident trends, i.e., whether they were linear or curvilinear, was often affected by adjustment. Changes in sensory quality of a single cultivar over time are likely due to changes in prevailing cultural practices such as rotations and chemicals applied to the peanut crop. It was not clear whether consumers would have noticed the change in sensory quality over time because the trends within individual cultivars were confounded with changes in the dominant runner-type cultivars with variable sensory quality marketed over the span of the study.

Flavor Profiles of Wild Species-Derived Peanut Breeding Lines

2008 ◽  
Vol 35 (2) ◽  
pp. 81-85 ◽  
Author(s):  
S. P. Tallury ◽  
H. E. Pattee ◽  
T. G. Isleib ◽  
H. T. Stalker
Keyword(s):  
Wild Species ◽  
Interspecific Hybrid ◽  
Diploid Species ◽  
Sensory Attributes ◽  
Sources Of Resistance ◽  
Breeding Programs ◽  
Breeding Lines ◽  
Arachis Hypogaea L ◽  
Cultivated Peanut ◽  
Important Quality

Abstract Several diploid wild species of the genus Arachis L. have been used as sources of resistance to common diseases of cultivated peanut (Arachis hypogaea L.). Because flavor is among the most important quality attributes for commercial acceptance of roasted peanuts, sensory attributes of interspecific hybrid derived breeding lines were evaluated to determine if transfer of disease resistance from wild species is associated with concomitant changes in flavor. Sixteen interspecific hybrid derivatives with five diploid species in their ancestries and the commercial flavor standard, NC 7 were evaluated for sensory quality. Significant variation among entries was found for the roasted peanut, sweet, and bitter sensory attributes, but not for the overall contrast between NC 7 and the wild species-derived breeding lines. The variation was either between two groups of wild species-derived breeding lines or within one or both groups. Introduction of disease and pest resistance traits from Arachis species did not result in degradation or improvement of the flavor profile. This suggests that flavor of wild species-derived germplasm will not prevent its use either as parents in peanut breeding programs or as cultivars.

scholarly journals Branching Pattern in Successive Generations of Peanuts Arachis hypogaea L.

1980 ◽  
Vol 7 (1) ◽  
pp. 41-45
Author(s):  
C. Harkness ◽  
D. J. Wright
Keyword(s):  
Genetic Variation ◽  
Environmental Effect ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Branching Pattern ◽  
Normal Pattern ◽  
Genotype By Environment ◽  
Arachis Hypogaea L ◽  
Branching Patterns ◽  
Successive Generations

Abstract Variation in branching pattern was studied in six Virginia group peanut cultivais (ssp. hypogaea var. hypogaea). Lines with genetically distinct branching patterns differing from the normal pattern were readily found in two of the cultivars. These variable lines showed no yield advantage over the normal lines. It was concluded that there is considerable genetic variation for branching pattern in Virginia peanuts. The variation could be ascribed to a range of modifier genes which can change the normal pattern of branching. There were indications of a strong environmental effect on branching pattern and of a genotype by environment interaction.

scholarly journals Identification of Spring Barley Breeding Lines With Superior Yield Performance and Stability

2020 ◽  
Vol 68 (6) ◽  
pp. 947-958
Author(s):  
Volodymyr Hudzenko ◽  
Tetiana Polishchuk ◽  
Oleksandr Demydov ◽  
Mykola Sardak ◽  
Nataliia Buniak ◽  
...  
Keyword(s):  
Spring Barley ◽  
Genotype By Environment Interaction ◽  
Forest Steppe ◽  
Environment Interaction ◽  
Yield Performance ◽  
Practical Result ◽  
Breeding Lines ◽  
Genotype By Environment ◽  
Barley Breeding ◽  
Main Effects

The aim of the present study was to substantiate theoretically and to test in practice scheme of multi-environment trials at the final stage of spring barley breeding process and to distinguish the genotypes which combine superior yield performance and stability. In the first year of competitive testing (2015) nine promising spring barley breeding lines have been selected under condition of the Central part of Forest-Steppe of Ukraine (latitude 49°64′, longitude 31°08′, altitude 153 m). In 2016 and 2017, the genotypes were additionally tested in two other different agro-climatic zones of Ukraine: Polissia (latitude 50°93′, longitude 31°69′, altitude 126 m) and Northern Steppe (latitude 48°56′, longitude 32°32′, altitude 171 m). In addition to the standard variety Vzirets, the breeding lines were compared with ten widespread spring barley varieties in agricultural production. Significant total yield variability of the genotypes and cross-over genotype by environment interaction has been revealed. It confirmed the validity of proposed combination of spatial (zones) and temporal (years) gradients for more efficient evaluation of the genotype by environment interaction and differentiation of genotypes in terms of yield performance and stability. As a practical result, using additive main effects and multiplicative interaction (AMMI) and genotype main effects plus genotype by environment interaction (GGE) models, four spring barley breeding lines with combination of superior yield performance and high stability have been identified.

scholarly journals Blanchability of peanut (Arachis hypogaea L.) kernels: early generation selection and genotype stability over three environments

2003 ◽  
Vol 54 (9) ◽  
pp. 885 ◽  
Author(s):  
A. W. Cruickshank ◽  
J. W. Tonks ◽  
A. K. Kelly
Keyword(s):  
Genetic Variance ◽  
Error Variance ◽  
Peanut Kernel ◽  
Early Generation ◽  
Breeding Lines ◽  
Early Generation Selection ◽  
Arachis Hypogaea L ◽  
The Mean ◽  
Selection For ◽  
The Stability

Blanching is the removal of testa from peanut kernel by heating followed by abrasion. Blanchability is the capacity to recover kernels with all the testa removed. This study investigated the response to early generation selection for blanchability and the stability of 22 breeding lines over 3 environments.F2-derived families with 'good' and 'poor' blanchability were selected. BLUPs for F4:5 lines from F2 families were significantly correlated with the mean blanchability of F2:3 rows. The within-family variance was mostly in 3�of the poor blanching families. In all other families, variance among lines within families was smaller than the error variance. Early generation selection was effective.In the 22 lines × 3 site experiment, there was a high genetic correlation common to each pair of sites, suggesting that differences in blanchability are repeatable. The expression of genetic variation was much greater at Coominya, with a 5-fold greater genetic variance than at Walkamin. All 3 environments in this experiment were irrigated. Interaction may have been greater with the inclusion of rainfed environments.Parent selection could make an important contribution to breeding for improved blanchability. Environment may not substantially affect the rank of genotypes but may affect the capacity to detect differences.

scholarly journals Assessment of ecological stability in yield for breeding of spring barley cultivars with increased adaptive potential

2020 ◽  
Vol 11 (3) ◽  
pp. 425-430
Author(s):  
V. M. Hudzenko ◽  
O. A. Demydov ◽  
V. P. Kavunets ◽  
L. M. Kachan ◽  
V. A. Ishchenko ◽  
...  
Keyword(s):  
Spring Barley ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Ecological Stability ◽  
Breeding Lines ◽  
Barley Cultivars ◽  
Genotype By Environment ◽  
Barley Breeding ◽  
Agroclimatic Zones

Increasing crop adaptability in terms of ensuring a stable level of productivity in the genotype – environment interaction is still the central problem of plant breeding theory and practice. The aim of the present study is to theoretically substantiate and practically test a scheme of multi-environment trials, as well as interpret experimental data using modern statistical tools for evaluation of the genotype by environment interaction, and highlight the best genotypes with combining yield performance and ecological stability at the final stage of the spring barley breeding process. For this purpose in the first year of competitive testing (2016) at the V. M. Remeslo Myronivka Institute of Wheat of the National Academy of Agrarian Sciences of Ukraine we selected nine promising spring barley breeding lines. In 2017 and 2018 these breeding lines were additionally tested in two other scientific institutions located in different agroclimatic zones of Ukraine. For a more reliable assessment, the breeding lines were compared not only with standard cultivar, but also with ten spring barley cultivars widespread in agricultural production of Ukraine. Thus, for three years of competitive testing, we received experimental genotype-environmental data from seven environments, which represent a combination of contrasting agroclimatic zones (Central part of the Forest-Steppe, Polissia and Northern Steppe of Ukraine) and different years (2016–2018). Our results revealed significant variability of mean yield of genotypes, as well as cross-over genotype by environment interaction. The first two principal components of both AMMI and GGE biplot explained more than 80% of the genotype by environment interaction. In general, the peculiarities we revealed indicate the effectiveness of the proposed combination of spatial (agroclimatic zones) and temporal (years) gradients to identify the best spring barley genotypes with the optimal combination of yield performance and ecological stability. Using AMMI and GGE biplot models was effective for the comprehensive differentiation of genotypes in terms of wide and specific adaptability, as well as for qualitative characterization of test environments and providing mega-environment analysis. As a practical result of the multi-environment trial, four spring barley breeding lines have been submitted to the State Variety Testing of Ukraine as new cultivars MIP Sharm, MIP Tytul, MIP Deviz and MIP Zakhysnyk, respectively.

scholarly journals Genotype-by-Environment Interaction in Roasted Peanut Attribute1

1994 ◽  
Vol 21 (2) ◽  
pp. 94-99 ◽  
Author(s):  
H. E. Pattee ◽  
T. G. Isleib ◽  
F. G. Giesbrecht
Keyword(s):  
Field Experiments ◽  
The United States ◽  
Genotype By Environment Interaction ◽  
Accurate Estimation ◽  
Environment Interaction ◽  
Data Set ◽  
Components Of Variance ◽  
Arachis Hypogaea L ◽  
Main Component ◽  
Production Areas

Abstract Although roasted flavor of peanut (Arachis hypogaea L.) seed is an important attribute with respect to consumer acceptance, little is known about the relative influences of cultivar, environment, and their interaction on expression of the trait. From 1986 to 1991, samples of seven peanut cultivars were obtained from peanut research programs representing the three major production areas in the United States. Samples were roasted to a nearly common color, ground into paste, and assessed for roasted flavor and fruity attribute by a trained sensory panel. CIELAB L*a*b* color was also measured for use as a covariate in statistical analysis to adjust for remaining differences in color. Subsets of the data were constructed to be orthogonal for cultivar and environment. Environmental variation was highly significant for all subsets and for the overall data set with variation among years being the largest component. Production regions were not a significant source of variation, but locations within years and regions were significant. Cultivars varied significantly in most cases with the runner cultivars Florunner and Marc I consistently superior in flavor to virginia cultivars Florigiant, NC 7, NC 9, and NC-V 11. There were no significant differences among the virginia cultivars. Pronto, a spanish cultivar, was comparable to the virginia cultivars in flavor. Cultivar-by-environment interaction was significant in the overall data set and in most of the orthogonal subsets. The main component of interaction in the overall set was cultivar-by-location interaction within years and regions. Results were inconsistent in the various subsets with cultivar-by-region interaction being significant only in one subset. Components of variance and standard errors of cultivar mean comparisons estimated from the overall data set indicate that design of field experiments to compare genotypic means should emphasize replication across year-location combinations rather than replication within combinations. For accurate estimation of means, replication across several years is necessary, but for comparison of genotypes, additional locations may be substituted for years.

Variation for kernel number and related traits in triticale (x Triticosecale Wittmack)

2011 ◽  
Vol 62 (10) ◽  
pp. 823 ◽  
Author(s):  
Rosella Motzo ◽  
Simona Bassu ◽  
Francesco Giunta
Keyword(s):  
Genetic Variation ◽  
Genetic Correlations ◽  
Genotype By Environment Interaction ◽  
Unit Weight ◽  
Environment Interaction ◽  
Kernel Number ◽  
Breeding Lines ◽  
High Level ◽  
Genetic Coefficient ◽  
Triticosecale Wittmack

Assessing the existence and extent of genetic variation in kernel number per m2 (KNO) and in KNO-related traits is necessary both for overcoming sink limitations through breeding and in order to correctly model triticale grain yield. A set of 112 advanced breeding lines derived from various crosses between winter and spring hexaploid triticales was grown for 2 years in a field experiment to evaluate genetic variation and heritability for KNO, chaff weight per m2 at maturity (CHAFFW) and number of kernels per unit weight of chaff (K/CHAFF). Genetic correlations were also calculated between these traits and grain weight and yield. K/CHAFF (but not CHAFFW) exhibited a high level of genetic variation and a low contribution of the genotype by environment interaction component to the overall variance and was highly heritable. There was no detectable genetic correlation between K/CHAFF and CHAFFW; however, K/CHAFF was correlated with KNO (r = 0.66, P < 0.001). K/CHAFF fulfils the major requirements of an indirect screening trait for KNO and of a genetic coefficient in modelling.

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