scholarly journals Comprehensive evaluation of spring barley breeding lines in yield, stability and tolerance to biotic and abiotic factors under condition of the central part of the Ukrainian Forest-Steppe

2021 ◽  
Vol 17 (1) ◽  
pp. 30-42
Author(s):  
V. M. Hudzenko ◽  
T. P. Polischuk ◽  
O. O. Babii ◽  
A. A. Lysenko ◽  
T. V. Yurchenko
Keyword(s):  
Drought Tolerance ◽  
Spring Barley ◽  
Yield Stability ◽  
Forest Steppe ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Adaptive Traits ◽  
Yield Performance ◽  
Breeding Lines ◽  
Barley Breeding

Purpose. Identification of spring barley promising breeding lines with combination of adaptive traits under conditions of the central part of the Ukrainian Forest-Steppe. Methods. Field trial, laboratory-field analysis of drought tolerance, statistical and graphical analysis of experimental data. Results. The analysis of variance of the AMMI model showed that the largest contribution to the general variation (85.78%) had environmental conditions (years of research). The value of the genotype was 8.21%, and the genotype by environment interaction was 6.01%. The first and second principal components of both AMMI and GGE biplot explained more than 85% of the genotype-environment interaction. Spring barley breeding lines ‘Deficiens 5162’, ‘Nutans 5073’ and ‘Deficiens 5161’ had the superior combination of yield performance and relative stability through the years according to GGE biplot. With GYT biplot analysis it has been determined that the breeding lines ‘Deficiens 5162’ and ‘Nutans 5073’ also significantly predominated over the other genotypes in terms of combination of yield performance and a number of other traits – 1000 kernels weight, drought tolerance, resistance to pathogens. Breeding lines ‘Deficiens 5161’, ‘Nutans 4966’, ‘Nutans 4705’, ‘Nutans 4816’, ‘Nutans 5184’, ‘Nutans 5193’, which exceeded the mean value in the trial in terms of combination of yield performance and a number of adaptive traits may have practical significance in the breeding process for creation of new initial material. Conclusions. As a result of the complex evaluation when using AMMI, GGE biplot and GYT biplot graphical models the breeding lines ‘Deficiens 5162’ and ‘Nutans 5073’ with the optimal combination of yield, stability, thousand kernel weight and tolerance to abiotic and biotic environmental factors have been identified

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 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 environment interaction and stability for yield and its components in advanced breeding lines of red rice (Oryza sativa L.)

2020 ◽  
Vol 49 (3) ◽  
pp. 425-435
Author(s):  
BM Dushyantha Kumar ◽  
AP Purushottam ◽  
P Raghavendra ◽  
T Vittal ◽  
KN Shubha ◽  
...  
Keyword(s):  
Grain Yield ◽  
Oryza Sativa L ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Red Rice ◽  
Yield Performance ◽  
Breeding Lines ◽  
Genotype Environment Interaction ◽  
Ammi Analysis ◽  
Total Variability

Effects of genotype, environment and their interaction for grain yield and yield attributing characters in 20 advanced breeding lines of rice across six environments was investigated. Yield stability and adaptability of yield performance were analyzed by Eberhart and Russel model and (GGE) bi-plot. The AMMI analysis of variance indicated that mean squares due to genotypes, location and genotype location contributed per cent 59.08, 5.79 and 21.63, respectively for total variability in grain yield per hectare. Estimates of GGE bi-plot revealed that the lines G1, G3, G11, G13, G15, G12, G16, G7 and G10 were positioned near GGL bi-plot origin indicating wider adaptation for the trait grain yield per hectare. Eberhart and Russel Model and GGE biplot model showed the advanced breeding lines viz., JB 1-11-7 (G1) and JA 6-2 (G15) exhibited wider adaptability across the tested environments for number of productive tillers per plant and yield per hectare.

scholarly journals Assessment of yield and stability in spring barley (Hordeum vulgare L.) genotypes of different ecological origin under conditions of the central part of Ukrainian Forest-steppe

2021 ◽  
pp. 140-149
Author(s):  
V. Hudzenko ◽  
T. Polischuk ◽  
О. Demyanyuk ◽  
O. Babii ◽  
A. Lysenko
Keyword(s):  
Graphical Models ◽  
Spring Barley ◽  
Maximum Yield ◽  
Weather Conditions ◽  
Optimal Level ◽  
Genotype By Environment Interaction ◽  
Forest Steppe ◽  
Environment Interaction ◽  
Hordeum Vulgare L ◽  
Yield Performance

The study was conducted at the V.M. Remeslo Myronivka Institute of Wheat of NAAS in 2018–2020. The 96 spring barley accessions originating from 15 countries were evaluated in yield performance and its stability. The mean yield in the trial through the years varied from 265 g/m2 in 2018 to 447 g/m2 in 2020. The difference between the minimum and maximum yield of samples within individual years was 388 g/m2 in 2018, 522 g/m2 in 2019, 440 g/m2 in 2020. Thus, it was found that the studied genotypes differed significantly in the level of yield, both within a year and through years of the research. This is confirmed by the high percentage of the genotype in the total variance — 36.73%. The 15 accessions which in mean yield for three years exceeded the standard Vzirets have been identified. The genotypes Almonte (CAN), Smaragd (UKR), Skald (POL), and Vienna (AUT) had the optimal level of yield in contrasting weather conditions of different years. These accessions are the most valuable genetic sources for breeding usage under conditions of the central part of Ukrainian Forest-Steppe. The accessions Suveren (POL), Krok (UKR), Kormoran (POL), Severyanin (RUS), Avers (UKR), Tiver (UKR), Dar Nosivshchyny (UKR), Skarb (POL), AC Alma (CAN), Despina DEU), Glacier AL.38 (GBR) were characterized by different responses to contrasting weather conditions of different years. Therefore, when involving them in hybridization as parental components, a combined approach will be appropriate which based both on the ecological-geographical principle as well as taking into account the yield performance, depending on the conditions of different years. In order to comprehensively assess the genotype by environment interaction and to select genotypes with the optimal combination of yield and stability, it is advisable to combine statistical (graphical) models that differ in the principles of evaluation of genotypes

scholarly journals Statistical and graphical (GGE biplot) evaluation of the adaptive ability and stability of winter barley breeding lines

2019 ◽  
Vol 23 (1) ◽  
pp. 110-118 ◽  
Author(s):  
V. N. Gudzenko
Keyword(s):  
Optimal Combination ◽  
Winter Barley ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Statistical Parameters ◽  
Breeding Lines ◽  
Barley Breeding ◽  
Yield Variation ◽  
Genotype Environment Interaction ◽  
Sowing Dates

Due to current global climate changes, the issue of improving adaptive capacity of crops is of high importance. It is important to create winter crop varieties with both ecological adaptability and yield stability in years with different hydrothermal conditions. In order to develop winter barley varieties with a combination of yield and stability, 14 promising breeding lines have been evaluated in the conditions of the V.M. Remeslo Myronovka Institute of Wheat of NAAS of Ukraine in 2012/2013–2014/2015 using four different sowing dates. The ANOVA revealed a reliable part in yield variation: 64.59 % for environment, 16.84 % for genotype–environment interaction, and 15.57 % for genotype. The sowing dates significantly increased the yield variation of the breeding lines. The differences between the average yields of the lines depending on sowing date within the year were 1.05 t/ha in 2012/2013, 0.90 t/ha in 2013/2014, and 1.25 t/ha in 2014/2015. For genotype–environment interaction interpretation and ranking lines by yield a number of the most known statistical parameters of adaptability, stability, and plasticity and GGE biplot were applied. The use of different sowing dates at the final stage of the winter barley breeding process is a simple but effective approach that allows a more detailed assessment of the adaptive potential of breeding lines in various growing conditions. As compared to statistical parameters, GGE biplot has some advantages for interpretation of genotype–environment interaction. This graphic model allows ranking environments to be visualized for their discriminating ability and representativeness, as well as both specifically adapted genotypes and the ones with the optimal combination of yield potential and stability to be identified in a set of environments (mega-environment). The breeding line Pallidum 4816 with the optimal combination of yield and stability, as well as the high-yielding breeding lines Pallidum 4857 and Pallidum 4659 were identified and submitted to the State Variety Testing of Ukraine as the new winter barley varieties MIP Yason, MIP Oskar and MIP Hladiator.

scholarly journals Graphical analysis of adaptability of spring barley breeding lines in the Central Forest-Steppe zone of Ukraine

2017 ◽  
Vol 13 (1) ◽  
pp. 20-27 ◽  
Author(s):  
В. М. Гудзенко ◽  
О. А. Демидов ◽  
С. П. Васильківський ◽  
С. С. Коляденко
Keyword(s):  
Spring Barley ◽  
Steppe Zone ◽  
Graphical Analysis ◽  
Forest Steppe ◽  
Breeding Lines ◽  
Barley Breeding

scholarly journals SEARCH FOR THE SELECTION CRITERIA IN THE PROCESS OF SPRING BARLEY BREEDING IN DIFFERENT YEARS OF MOISTURE AVAILABILITY

2021 ◽  
pp. 16-24
Author(s):  
Д.О. Долженко ◽  
С.Н. Шевченко
Keyword(s):  
Selection Criteria ◽  
Field Experiments ◽  
Spring Barley ◽  
Weather Conditions ◽  
Forest Steppe ◽  
Special Importance ◽  
Middle Volga Region ◽  
Breeding Lines ◽  
Barley Breeding ◽  
Yield Structure

На гибридах ярового ячменя поколений F1 и F2 изучены варьирование элементов структуры урожая и корреляционные взаимосвязи между ними. Цель исследования – поиск эффективных критериев отбора в селекции ярового ячменя на продуктивность колоса и растения. Полевые эксперименты проведены на чернозёмах лесостепи Среднего Поволжья в контрастные по гидротермическому режиму годы. Низким коэффициентом вариации (до 10 %) стабильно характеризовались высота растений, Кхоз главного колоса и Кхоз главного побега, средним (10-20%) – продуктивная кустистость, масса зерна главного колоса, Кхоз растения. Изменчивость остальных изученных элементов структуры урожая варьировала от низкой до средней. В год с достаточным увлажнением проявились три относительно обособленные корреляционные плеяды: продуктивность главного колоса, продуктивность растения, Кхоз, а также почти независимый от них признак «масса 1000 зёрен». В засушливый год произошло переопределение корреляционных связей между элементами, возникло сопряжение между признаками различных плеяд, увеличился вклад в продуктивность показателей массы 1000 зёрен и Кхоз. Сделан вывод о влиянии различных критериях отбора на продуктивность ячменя в благоприятных и засушливых условиях. В благоприятных условиях следует вести селекцию на длину главного колоса и число зёрен в нём. В засушливый год приобретают особенное значение масса 1000 зёрен и показатели Кхоз, которые являются самостоятельной целью селекции в любых условиях. При отборе селекционных линий и подборе родительских форм для скрещиваний необходимо опираться на данные, полученные в контрастные по погодным условиям годы. Variations in the elements of the yield structure and correlation relationships between them were studied using hybrids of spring barley of generations F1 and F2. The goal of the study is to search for effective selection criteria for productivity of a head and a plant in the process of spring barley breeding. Field experiments were carried out on chernozems of the forest-steppe of the Middle Volga region in years contrasting in the hydrothermal regime. The height of plants, Khoz of the main head and Khoz of the main shoot were consistently characterized by a low coefficient of variation (up to 10%), productive tillering, grain weight of the main head, Khoz of a plant by average (10-20%). The variability of the other studied elements of the yield structure varied from low to average. In the year with sufficient moisture, three relatively separate correlational constellations appeared: productivity of the main head, productivity of the plant, Khoz, as well as almost independent trait of “weight of 1000 grains”. In the dry year, there was a redefinition of the correlations between the elements, a conjugation between the characteristics of different constellations, and an increase of contribution to the productivity of indices of weight of 1000 grains and Khoz. The conclusion is made about the influence of various selection criteria on the productivity of barley under favorable and arid conditions. Under favorable conditions, it is necessary to select by the length of the main head and the number of grains in it. In a dry year, the weight of 1000 grains and indicators of Khoz acquire special importance, which are an independent goal of breeding under any conditions. When selecting breeding lines and selecting parental forms for crosses, it is necessary to rely on data obtained in years with contrasting weather conditions.

Simultaneous selection for high yield and stability in common bean (Phaseolus vulgaris) genotypes

2002 ◽  
Vol 138 (3) ◽  
pp. 249-253 ◽  
Author(s):  
F. MEKBIB
Keyword(s):  
Common Bean ◽  
Genotype By Environment Interaction ◽  
Yield Stability ◽  
High Yield ◽  
Environment Interaction ◽  
Yield Performance ◽  
Simultaneous Selection ◽  
Selection For ◽  
Stability Statistics ◽  
Selection Of

Phenotypic yield stability is a trait of special interest for plant breeders and farmers. This value can be quantified if genotypes are evaluated in different environments. Common bean is the main cash crop and protein source of farmers in many lowland and mid-altitude areas of Ethiopia. An experiment was undertaken to evaluate common bean genotypes for yield performance at Alemaya, Bako and Nazreth in Ethiopia for 3 years. The yield performance of genotypes was subjected to stability analysis and yield-stability statistics were generated to aid the selection of genotypes that were high yielding and very stable. The significant genotype by environment interaction indicated that the relative performance of the varieties altered in the different environments. Genotype yield performance varied ranging from 1511–2216 kg/ha. Simultaneous selection for yield and yield-stability statistics using YS(i) statistics indicated that A 410, GLP x92, Mx-2500-19, G 2816, A-195, 997-CH-1173, Diacol calima, ICA 15541 and AND 635 were both high yielding and stable. Following this study, using farmers’ evaluation and other criteria, GLP x92 and G-2816 were identified as preferred genotypes and were released for further production.

Sign in / Sign up

Export Citation Format

Share Document