Stability of grain number per panicle in a collection of autumn oat (Avena sativa L.) genotypes (original) (raw)
Related papers
Journal on Processing and Energy in Agriculture
The study aimed at assessing stability the grains number from panicle to autumn oats, under the influence of climatic conditions. The study was conducted over a period of three years. The biological material consisted of 73 genotypes. The experimental data was obtained by performing biometric measurements. The experimental data was processed by various linear regression analysis modelesses: Finlay-Wilkinson, Hardwick-Wood, Muir, Wrike but also the concordance between the ranks of different models of appreciation. The values of grains number in panicle fluctuate according to the climatic conditions of the year, both as an average value and as intrapopulational variability. The Jeferson, Carie, Florina varieties, and the 4458, PA 725-4743, PA 822-818 lines exhibits a high dynamic stability associated with values above the average of the experience for the number of grains in panicle. In the case of this character, 53.10% of the genotype x environment interaction is due to heterogeneit...
Electronic Journal of Plant Breeding, 2016
Ten genotypes of oats were planted at three diverse environments to assess genotype environment interaction and determine stable oat (Avena sativa L.) cultivar in Kashmir division for grain quality and grain yield using randomized block design during 2011 to 2012. Stability analysis for grain quality and yield was carried out to check the response to Genotype x Environment interactions. The mean squares due to G x E (linear) were significant reveals genetic differences among genotypes for linear response to varying environments, while mean squares due to pooled deviations were highly significant, reflecting considerable differences among the genotypes for non-linear response. Out of ten genotypes, only three oats lines i.e., SABZAAR, SKO-208 and SKO-209 had non-significant deviation from regression and their regression coefficient values were close to unity classified as stable varieties for grain quality and grain yield.. The cultivar, "SKO-208" with regression coefficient value of 1.009, the smallest deviations from regressions (S 2 di) value and the highest grain yield could be considered the most widely adapted cultivar. The other test cultivars were sensitive to production-limiting factors, their wider adaptability, stability and general performance to the fluctuating growing conditions within and across environments.
The objectives of this research were to assess genotype environment interaction and determine stable oat (Avena sativa L.) cultivars for grain yield in Central Anatolian Region of Turkey. Stability analysis were to performed on results for grain yield of 5 oat cultivars (Chekota, Yesilkoy-1779, Yesilkoy-330, Faikbey-2004, Seydisehir-2004 from 24 trials (6 irrigated, 18 rain fed ) was conducted over 6 years in the Central Anatolian Region, Turkey. There was considerable variation in grain yield within and across environments. Year by location and location variability were dominant sources of interactions. The cultivar, "Seydisehir-2004" with respective regression coefficient value of 1.03, the smallest deviations from regressions (S 2 di ) value and the highest grain yield could be considered the most widely adapted cultivar. The other test cultivars were sensitive to production-limiting factors, their wider adaptability, stability and general performance to the fluctuating growing conditions within and across environments being lowered.
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.
Electronic Journal of Plant Breeding
Eleven genotypes of oats were planted at six diverse environments to assess genotype environment interaction and determine stable oat (Avena sativa L.) cultivar in Kashmir division for grain yield using randomized block design during 2014 to 2015. There was considerable variation in grain yield and physiological traits within and across environments. Stability analysis for grain yield was conducted to check the response to Genotype x Environment interactions. The mean squares due to G x E (linear) were significant depicting genetic differences among genotypes for linear response to varying environments. Mean squares due to pooled deviations were highly significant, reflecting considerable differences among genotypes for non-linear response. Out of eleven genotypes, only three oats lines i.e., SKO-98, SKO-166 and Sabzaar, showed non-significant deviation from regression and their regression coefficient values were close to unity and desirable for grain yield across the environments. The cultivar, "SKO-98" with respective regression coefficient value of 1.018, the smallest deviations from regressions (S 2 di) value (0.025) and the above average grain yield could be considered the most widely adapted cultivar.
Genotype by environment interaction for grain yield in winter oat
2020
Dyulgerova, B. & Savova, T. (2020). Genotype by environment interaction for grain yield in winter oat. Bulg. J. Agric. Sci., 26 (5), 992–997 The objective of this study was to examine the magnitude of genotype by environment interaction for grain yield and determine the adaptation of breeding lines of winter oat, grown in Southeast Bulgaria, using AMMI and GGE biplot methods. The study included 20 oat genotypes (18 breeding lines and 2 check varieties), analyzed in eight years through field trials arranged in a complete block design, with four replications. Grain yield of the tested genotypes varied from 1312 kg/ha to 8394 kg/ha throughout the eight growing seasons. In the AMMI analysis of variance, 67.23% of the total yield variation was explained by environment, 9.63% by differences between genotypes, and 23.13% by genotype by environment interaction. The first six interaction principal component axes were significant and cumulatively contributed to 98.53% of the total genotype by...
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%.
Decomposition of White Oat Phenotypic Variability by Environmental Covariates
BRAZILIAN JOURNAL OF AGRICULTURE - Revista de Agricultura, 2022
The study aims to quantify the effects of environmental variables on the interaction between genotypes x environments and to evaluate the sensitivity of white oat genotypes to grain yield in 10 years of cultivation. The experiment took place in the municipality of Augusto Pestana, Rio Grande do Sul State, Brazil. The experimental design used was in randomized blocks, being evaluated the grain yield of 26 white oat genotypes in 20 complex environments. Greater phenotypic stability was observed for the URS 21 genotype, by the AMMI and GGE methodologies. The URS Corona genotype showed general adaptation, high genetic value and predictable environmental variations by the GGE method and reaction norm. Higher minimum air temperature and lower medium temperature and relative air humidity enhance the productive performance of white oat genotypes. The genotypes URS 22, Fapa Slava, IPR Afrodite and Estampa express positive responses to the covariates temperature medium, maximum, minimum and relative air humidity, respectively. Relative humidity explains more than 50% of the biological variation of white oat genotypes.
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...
Parametric stability analyses for green forge yielding traits in oats (Avena sativa L.)
African journal of agricultural research
The objectives of this research were to assess genotype environment interaction and determine stable oat (Avena sativa L.) cultivar in Kashmir division over three locations for fodder yield and its components in 10 genetically diverse genotypes using randomized block design. There was considerable variation in forage yield within and across environments. Stability analysis for forage yield was conducted to check the response to Genotype × Environment (G × E) interactions. The mean squares due to G × E (linear) were significant depicting genetic differences among genotypes for linear response to varying environments. Mean squares due to pooled deviations were highly significant, reflecting considerable differences among genotypes for nonlinear response. Out of 10 genotypes, only 4 oats lines, that is, Sabzaar, SKO-211, SKO-212 and SKO-213 showed non-significant deviation from regression and their regression coefficient values were close to unity classified were desirable for forge and dry matter yield across the environments. The cultivar, "SKO-212" with respective regression coefficient value of 1.001, the smallest deviations from regressions (S 2 di) value and the highest green forage yield could be considered the most widely adapted cultivar. The other test cultivars were sensitive to production-limiting factors, their wider adaptability, stability and general performance to the fluctuating growing conditions within and across environments being lowered.