Agronomic performance and quality of oat (Avena sativa L.) genotypes of worldwide origin produced under Central European growing conditions (original) (raw)
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Multi-Environment Analysis of Grain Yield and Quality Traits in Oat (Avena sativa L
Tarım Bilimleri Dergisi, 2022
Oat is used for food, in animal feeding and non-food products. Twentyfive oat genotypes were evaluated at six different environments to determine high-yielding, good-quality and stable genotypes. Experiments were conducted in randomized blocks design with 4 replications. Grain yield, plant height, test weight, thousand-grain weight, screening percentage, groat percentage, protein, β-glucan and starch contents were evaluated for 25 oat genotypes. Genotype, environment and genotype × environment interaction had extremely important effects on yield and quality of oat grains. The additive main effects and multiplicative interactions analysis disclosed important genotype and environmental effects in addition to genotype by environmental interaction according to grain yield. Using AMMI analysis, three promising oat genotypes (G1, G3 and G7) were defined in comparison to the cultivars and these genotypes had 4.03, 3.77 and 3.70 t ha-1 , respectively. AMMI-2 biplot revealed that E6 was the most discriminating environment for grain yield of oat genotypes. Genotypeby-trait (GT) biplot explained 54.9% of total variation. Grain yield were positive associated with all traits except plant height. G1, G3 and G7 genotypes, which showed the best performance and higher stability, also had good quality traits.
Grain Yield and Some Quality Traits of Different Oat (Avena sativa L.) Genotypes
— Oat cultivars should have both high yield potential and some quality criteria in accordance with using targets. Hence, grain yield and some quality traits of 25 oat genotypes grown in two consecutive years were studied. This study was carried out during the 2012–2013 and 2013–2014 growing seasons in Yozgat, Turkey. Grain yield, plant height, hectolitre weight, thousand grain weight, great percentage and grain composition (protein, fat, ash, acid detergent fiber (ADF), neutral detergent fiber (NDF), β-glucan and starch) were evaluated. Analysis of the combined data for two years showed significant genotypic differences for all traits. According to the average of two years, among the genotypes, grain yield varied from 2432.3 (2 numbered genotype) to 5650.2 (19 numbered genotype) kg ha-1 , plant height from 76.3 to 128.3 cm, hectoliter weight from 41.5 to 52.3 kg, thousand grain weight from 24.5 to 41.3 g, groat percentage from 70.4 to 76.6 %, protein content from 11.1to 14.3 %, fat content from 5.86 to 8.47 %, ash ratio from 2.52 to 3.43 %, ADF content from 11.0 to 16.4 %, NDF content from 29.5 to 37.3 %, β-glucan content from 1.33 to 2.58 % and starch content ranged from 34.9 to 47.7 %. Grain yield was significantly and positively correlated with thousand grain weight (r = 0.253**) and neutral detergent fibre (r = 0.160**). However, correlations between grain yield with crude protein (r =-0.216**) and hectolitre weight (r = 0.246) were significantly and negative.
International Journal of Chemical Studies, 2018
Twenty five oat (Avena sativa L.) strains were evaluated morphologically for days to flowering, days to maturity, fresh green weight per plant (g), total number of tillers per plant, plant height (cm), leaf length (cm), leaf width (cm) leaves per plant, nodes per plant, biological yield per plant (g) and seed yield per plant (g) to evaluate the genetic variance, heritability and genetic advance and character association for each character in the materials. Analysis of variance revealed significant variation exists among the stains for all characters studied. The estimation of genotypic coefficient of variation and phenotypic coefficient of variation were high for total number of tillers per plant, 100-seed weight, fresh green weight, and seed yield per plant. High heritability along with high genetic advance as percent of mean were observed for fresh green weight per plant, total number of number tillers per plant and seed yield per plant. Seed yield per plant exhibited significant positive association with leaf length, days to maturity and plant height. It was concluded that leaf length, days to maturity and plant height are major yield contributing characters in selecting high yielding oats stains. This investigation exhibited that there exists a wide range of genetic variability among oats strains for most of the characters which would be useful for direct selection of high yielding strains.
Genetic variability, heritability and genetic advance studies in oat (Avena sativa L.)
International Journal of Chemical Studies, 2019
Eight genotypes viz., Kent, OS 6, JHO-99-2, JHO 851, OS 403, OL 125, UPO 212 and NDO 612 were studied for genetic variability, heritability and genetic advance for green fodder yield, days to 50% flowering, number of leaves per plant, leaf area, plant height, number of tillers per plant, stem girth, number of green pod per spike, length of spike and leaf stem ratio. Analysis of variance showed highly significant differences among the parents and F1s for all the attributes. The parent's vs hybrids revealed highly significant differences for all the traits. The F test indicated that the variance due to treatments were highly significant for all the characters which indicated that the presence of substantial genetic variability in the present set of material. The highest values of genotypic and phenotypic coefficient of variation (more than 25%) were observed for number of leaves per plant, number of tillers per plant, leaf stem ratio and green fodder yield per plant, suggested that there was a possibility of improvement of fodder yield through direct selection. High heritability coupled with high genetic advance as percent of mean was recorded for number of leaves per plant, leaf area, plant height, Number of tillers per plant, stem girth, number of green pods per spike, length of spike and green fodder yield per plant, indicating that these characters are governed by additive gene action. Direct selection of these attributes will be effective and profitably for yield improvement.
Genetic variability and correlation of seed yield and related characters in oat (Avena sativa L.)
International Journal of Chemical Studies, 2018
The present investigation was conducted with 25 genotypes of oats and were grown during rabi 2015-16 to assess the performance, variability, heritability, genetic advance and correlation coefficient analysis using sixteen various yield and yield contributing traits in RCBD with three replications. Variances component method was used to estimate variability and selection parameters using standard approach. The genotypes differed significantly for most of the traits and relatively wide range of the mean for all characters indicated the existence of variation among the tested genotypes. High phenotypes coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were observed for fresh green weight per plant, total number of tillers per plant, number of grains per plant, 100-seed weight and seed yield per plant. High GCV along with high heritability and genetic advance as percent of mean was observed for Fresh green weight per plant, total numbers of tillers per plant, p...
Associations between agronomic performance and grain chemical traits in oat
2020
Great progress has already been achieved in breeding white oats (Avena sativa L.). However, breeders of this species need to make available to the market higher yielding and higher grain quality cultivars. Therefore, it is necessary to optimize the strategies of selection of superior genotypes. The present work aimed to estimate the correlation between traits related to agronomic performance and traits related to chemical composition of white oat grains, seeking to add understanding for the selection of higher yielding genotypes with high nutritional quality. Thirty families from the cross between the cultivars Albasul and UPF 15 were used, and 31 families from the cross between the cultivars IAC 7 and UFRGS 19. Six traits related to agronomic performance and five traits corresponding to the chemical composition of the grains were evaluated. To assess the relationship between the different traits evaluated, simple correlation and canonical correlation analyzes were performed. The re...
Stability of grain number per panicle in a collection of autumn oat (Avena sativa L.) genotypes
Journal on Processing and Energy in Agriculture, 2019
The purpose of this study is to examine the stability of grain number per panicle in a collection of autumn oat genotypes under different climatic conditions. The biological material analysed consisted of 73 oat genotypes studied over a period of three years. The experimental data were obtained by biometric measurements and subsequently processed using the following linear regression models: Finlay-Wilkinson, Hardwick-Wood, Muir and Wrike. The grain number per panicle obtained varied according to the annual climatic conditions both as means and the intrapopulational variability. The Jefferson, Carrie and Florina cultivars, as well as the 4458, PA 725-4743 and PA 822-818 lines, exhibited a high dynamic stability associated with the above-average values of the grain number per panicle. Relative to this character, a total 53.10 % of the genotype x environment interaction is due to the heterogeneity of variances.
Genotypic and Environmental Effects on Grain Yield and Quality of Oat Grown in North Dakota
Crop Science, 2001
the whole oat that is recovered as groat after dehulling. Groat percentage has long been recognized as an impor-The grain yield and quality determine much of the value of an oat tant indicator of oat quality (Love et al., 1925; Stoa et (Avena sativa L.) crop to the producer. This study investigated effects al., 1936; Atkins, 1943; Bartley and Weiss, 1951). Peek of genotype and environment on grain yield and quality. Twelve oat genotypes were grown during 3 yr at four locations in North Dakota and Poehlman (1949) considered test weight to be a where detailed environmental data were being collected. Grain yield, more valuable oat quality evaluation tool than groat test weight, groat percentage, groat weight, and groat composition percentage because hand-dehulling of oat was consid-(protein, oil, -glucan, and starch concentrations) were evaluated. ered too tedious. Stoa et al. (1936) suggested that early Results were subjected to analysis of variance and influences of envimaturing oat cultivars were superior in groat percentronmental factors were evaluated by correlation analysis. Analysis of age, and rust susceptible lines were generally higher in variance suggested that grain yield, groat starch, and ash concentrapercent hull. These conclusions were also supported by tions were more strongly affected by environment than by genotype. the findings of Bunch and Forsberg (1989). The studies Test weight, groat percentage, groat weight, protein, and -glucan of Bartley and Weiss (1951) indicated strong environwere about equally influenced by environment and by genotype, mental effects on groat percentage and demonstrated whereas groat lipid was more strongly influenced by genotype. Signifipositive correlations between groat percentage and cant environment ϫ genotype interactions for all characteristics were attributed to differential resistance of genotypes to crown rust (caused yield, test weight and kernel weight. Youngs and Shands by Puccinia coronata Corda var. aveneae W.P. Fraser & Ledingham) (1974) demonstrated that tertiary kernels had a higher infection. Environments severely affected by crown rust produced groat percentage than primary and secondary kernels, grain with lower test weight, groat weight, and groat percentage in although Palagyi (1983) found that genotypes with susceptible genotypes. Correlation analyses suggested that warm, higher levels of tertiary kernels had lower groat percentbright (high solar radiation) spring weather, and cooler summer weather age. He suggested that tertiary kernels compete with without excessive rains during grain filling generated the best oat primary and secondary kernels for assimilate, preyields with high quality grain.
Journal of Agriculture Research and Technology
With increasing population and health-related problems, more emphasis is given to substitutes for generally grown cereal crops. It is widely cultivated for forage purposes because of its high regenerating capability. Oat grain has tremendous health benefits. Therefore the study of variability and correlation among yield contributing traits becomes important. Keeping this in view, in the present research sixteen morphological traits were studied for fifty six diverse oat genotypes. The experiment was conducted in RCBD design during Rabi 2017-2018. Significant variation was seen for all the traits under study. High GCV and PCV were seen for most of the most of traits except plant height, days to 50% flowering, days to maturity. High heritability coupled with high genetic advance was observed for most of the characters viz., flag leaf length, leaf length, leaf width, leaf stem ratio, internode length, number of tillers plant-1, peduncle length, axis length, number of spikelets plant-1,...
Grain quality parameters of wintering oat genotypes (Avena Sativa L.)
In the period 2010-2012 in the experimental field of the Department of Crop Production in Agricultural University-Plovdiv (Bulgaria) field experiment was conducted with 8 lines and 2 cultivars (Dunav 1 and Resor 1) wintering oats. The experiment was set in a standard method in three repetitions with the size of the plots 10.5 m 2. There was found some grain quality parameters in order to assess the potential of wintering genotypes. Line Kt 718 (14.6%) and line 07/Z1 (14.51%) have the highest amount of crude protein in the grain. The fat content is 5.04% (Kuceviste) to 8.89% (Kt 718). Starch has values which are similar for different genotypes. Line 07/Z1 has a higher value-46.93%. The amount of ß-glucans in the grain of the tested genotypes reached 3.9%.