Success of a selection program for increasing grain yield of two-row barley lines and evaluation of the modified augmented design (type 2)

1995 ◽  
Vol 75 (4) ◽  
pp. 795-799 ◽  
Author(s):  
K. W. May ◽  
G. C. Kozub
Keyword(s):  
Hordeum Vulgare ◽  
Grain Yield ◽  
Research Centre ◽  
Environment Interaction ◽  
Hordeum Vulgare L ◽  
Genotype Environment Interaction ◽  
Large Numbers ◽  
Augmented Design ◽  
Design Type

The modified augmented design (MAD) (type 2), which adjusts for environmental heterogeneity when large numbers of test lines are being evaluated in non-replicated plots, has been used in the barley (Hordeum vulgare L.) breeding program at the Lethbridge Research Centre. The superiority of test lines selected from two series of F7 test lines selected using the MAD were evaluated in replicated MAD tests (F8) and superior selections were further evaluated in standard replicated designs (F9). When adjustment was indicated for individual MAD tests, the generally high relative efficiencies (RE) confirmed the effectiveness of adjustment in reducing the error variation for yield. The need for adjustment and the adjustment method differed among replicates of the MAD conducted on adjacent blocks of land. The RE from replicated MAD tests indicated the effectiveness of the MAD for reducing the variability in the tests of F8 material. Correlations of the ranks of test lines in different replicates of MAD indicated that more of the same lines in each replicate would be designated as superior with adjustment for heterogenity. The lack of significant positive rank correlations among environments and clearly identifiable improvement in the mean yield was probably the result of the narrowing range in grain yield of the test lines as well as a genotype × environment interaction. Key words: Modified augmented design, Hordeum vulgare, barley, screening

FIELD EVALUATION OF A MODIFIED AUGMENTED DESIGN (TYPE 2) FOR SCREENING BARLEY LINES

1989 ◽  
Vol 69 (1) ◽  
pp. 9-15 ◽  
Author(s):  
K. W. MAY ◽  
G. C. KOZUB ◽  
G. B. SCHAALJE
Keyword(s):  
Hordeum Vulgare ◽  
Environmental Heterogeneity ◽  
Field Evaluation ◽  
Hordeum Vulgare L ◽  
Breeding Lines ◽  
Large Numbers ◽  
Average Change ◽  
Augmented Design ◽  
Design Type

The modified augmented design, which adjusts for environmental heterogeneity when large numbers of test lines are being evaluated in nonreplicated plots, was used in a barley (Hordeum vulgare L.) breeding program at two locations in 3 years. The design offered advantages in flexibility of field operations and was satisfactory for statistical preparation and analyses of the tests. Adjustments in yield based on either the row-column effects or covariance were required in the majority of tests. The relative efficiencies verified the choice of adjustment method indicated by the analysis of variance in 12 of 19 tests. The average change in rank of test lines due to adjustment was often large whereas the average change in yield was generally less than 8%. The design has definite advantages for screening barley breeding lines; however, the agreement between rankings of lines based on the adjusted values and the best estimate of their true ranking needs to be investigated.Key words: Modified augmented design, Hordeum vulgare, barley, screening

Using AMMI approach to delineate genotype by environment interaction and stability of barley (Hordeum vulgare L.) genotypes under northern Indian shivalik hill conditions

2020 ◽  
Vol 80 (03) ◽  
Author(s):  
Om Prakash Yadav ◽  
A. K. Razdan ◽  
Bupesh Kumar ◽  
Praveen Singh ◽  
Anjani K. Singh
Keyword(s):  
Hordeum Vulgare ◽  
Grain Yield ◽  
Principal Component ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Hordeum Vulgare L ◽  
Genotype By Environment ◽  
Biplot Analysis ◽  
Principal Component Axis ◽  
Ammi Analysis

Genotype by environment interaction (GEI) of 18 barley varieties was assessed during two successive rabi crop seasons so as to identify high yielding and stable barley varieties. AMMI analysis showed that genotypes (G), environment (E) and GEI accounted for 1672.35, 78.25 and 20.51 of total variance, respectively. Partitioning of sum of squares due to GEI revealed significance of interaction principal component axis IPCA1 only On the basis of AMMI biplot analysis DWRB 137 (41.03qha–1), RD 2715 (32.54qha–1), BH 902 (37.53qha–1) and RD 2907 (33.29qha–1) exhibited grain yield superiority of 64.45, 30.42, 50.42 and 33.42 per cent, respectively over farmers’ recycled variety (24.43qha–1).

AAC Vitality barley

2016 ◽  
Vol 96 (3) ◽  
pp. 367-370
Author(s):  
Thin Meiw Choo ◽  
Allen G. Xue ◽  
Richard A. Martin
Keyword(s):  
Hordeum Vulgare ◽  
Grain Yield ◽  
Spot Blotch ◽  
Research Centre ◽  
Seed Color ◽  
Net Blotch ◽  
Good Resistance ◽  
Hordeum Vulgare L ◽  
Moderately Resistant

AAC Vitality is a six-row spring feed barley (Hordeum vulgare L.) cultivar developed by the Eastern Cereal and Oilseed Research Centre, Agriculture and Agri-Food Canada. AAC Vitality had high grain yield, good resistance to lodging, and good resistance to straw break. It was late in heading and maturity. Its seed color was bright. AAC Vitality was moderately resistant to net blotch and spot blotch. AAC Vitality performs well in Ontario.

Genotype × environment interactions for two-row barley grain yield and implications for selection of test locations

1995 ◽  
Vol 75 (3) ◽  
pp. 571-575 ◽  
Author(s):  
K. W. May ◽  
G. C. Kozub
Keyword(s):  
Cluster Analysis ◽  
Grain Yield ◽  
Barley Grain ◽  
Significant Loss ◽  
Data Sets ◽  
Environment Interaction ◽  
Hordeum Vulgare L ◽  
Canadian Prairie ◽  
Genotype Environment Interaction ◽  
Yield Responses

The response of barley grain yield to Canadian prairie environments was studied to evaluate genotype × environment interactions, and to group locations according to genotype response, which identifies locations whose removal would not significantly affect the validity of conclusions. The data were also used to illustrate a method for handling a large genotype × location × year data base with few common entries. Information from 20 test locations with 11–19 annual entries over 7 yr was used. Analyses of variance of data sets with three to seven common entries in adjacent years indicated significant genotype × location × year interactions for grain yield. The structure of the genotype × location interaction was studied using cluster analysis within each year and summarized over years. Cluster analysis using individual years allowed more test entries and should increase the reliability of the conclusions compared to that using average over years with few entries. Clustering identified six locations with dissimilar genotype yield responses. In the 7 yr, 19 pairs of locations usually clustered together. The 19 pairs involved eight of the 20 locations and most were in the same geographical region. Some of the eight locations could be eliminated without significant loss of reliability. Rankings of test entries for grain yield at locations within a cluster were generally similar when genotype effects were larger. Key words:Barley, Hordeum vulgare L, genotype-environment interaction, grain yield

Genotype × environment interaction and stability analysis on barley (Hordeum vulgare L.) lines in Algeria

2011 ◽  
Vol 59 (4) ◽  
pp. 325-336 ◽  
Author(s):  
L. Hanifi-Mekliche ◽  
A. Mekliche ◽  
P. Monneveux
Keyword(s):  
Hordeum Vulgare ◽  
Environment Interaction ◽  
Stability Studies ◽  
Heading Time ◽  
Stem Height ◽  
Thousand Grain Weight ◽  
Hordeum Vulgare L ◽  
Breeding Lines ◽  
Growing Seasons ◽  
Genotype Environment Interaction

The objectives of this research were to assess the genotype × environment interaction and to identify barley (Hordeum vulgare L.) genotypes with high stability for grain yield, yield components, straw height, ear length, heading time, straw yield and harvest index. Eighteen barley breeding lines and one commercial cultivar were evaluated under field conditions during five growing seasons. The trials were carried out under both rainfed and irrigated conditions during the first four years and under rainfed conditions only during the last growing season. Stability studies showed significant differences between the environments for all the traits and between the genotypes for thousand-grain weight, heading time and ear length. The genotype × environment interaction was, however, not significant according to the Finlay-Wilkinson analysis. The analysis of correlations between the various traits showed the importance of selecting for earliness, high number of grains/ear, stem height and ear length in order to obtain acceptable grain yields under drought-stressed conditions.

Genotype × environment interactions for two-row barley grain yield and implications for selection of genotypes

1993 ◽  
Vol 73 (4) ◽  
pp. 939-946
Author(s):  
K. W. May ◽  
G. C. Kozub
Keyword(s):  
Grain Yield ◽  
Barley Grain ◽  
Data Sets ◽  
Environment Interaction ◽  
Ge Interaction ◽  
Hordeum Vulgare L ◽  
Canadian Prairie ◽  
Interaction Structure ◽  
Genotype Environment Interaction ◽  
Key Words Barley

The response of barley grain yield to Canadian prairie environments was studied to evaluate genotype × environment interactions with respect to barley genotype selection. Information from nine test sites and 11 entries over two 3-yr spans was used. Genotype × location × year interactions from analysis of variance were significant for grain yield in both data sets. The nature of these interactions was studied by considering the genotype mean performance, superiority and stability measures for each location, and joint regression and cluster analyses within each year. No single genotype was superior over all locations, and the groupings of genotypes for similarity of response at locations were not consistent for year. This indicated that genotypes selected on the basis of main effect means may not be those selected from a detailed consideration of the GE interaction structure. In the presence of sufficient genetic variability, examination of mean yield in conjunction with between-year variance at each location provides vital information on adaptation at specific locations, and is an appropriate selection tool for genotype registration and recommendation. Consideration of GE interaction, using joint regression and clustering, may indicate genotypes equivalent or marginally superior to the check. Key words: Barley, Hordeum vulgare L., genotype-environment interaction, grain yield

AAC Mirabel barley

2014 ◽  
Vol 94 (2) ◽  
pp. 465-468 ◽  
Author(s):  
T. M. Choo ◽  
R. A. Martin ◽  
A. Xue ◽  
D. MacDonald ◽  
P. Scott ◽  
...  
Keyword(s):  
Hordeum Vulgare ◽  
Powdery Mildew ◽  
Grain Yield ◽  
Barley Yellow Dwarf Virus ◽  
Research Centre ◽  
Hordeum Vulgare L ◽  
Eastern Canada ◽  
Barley Yellow Dwarf ◽  
Yellow Dwarf Virus ◽  
Moderate Resistance

Choo, T. M., Martin, R. A., Xue, A., MacDonald, D., Scott, P., Rowsell, J., Dion, Y. and Rioux, S. 2014. AAC Mirabel barley. Can. J. Plant Sci. 94: 465–468. AAC Mirabel is a six-row spring feed barley (Hordeum vulgare L.) cultivar developed by the Eastern Cereal and Oilseed Research Centre, Agriculture and Agri-Food Canada. It has high grain yield and moderate resistance to barley yellow dwarf virus, powdery mildew, leaf rust, and loose smuts. AAC Mirabel performs well across Eastern Canada.

scholarly journals The Influence of Genotype and Environment on Arabinoxylan and Beta-glucan Contents in Grain of Spring Barley (Hordeum vulgare L.)

2014 ◽  
Vol 62 (3) ◽  
pp. 553-560 ◽  
Author(s):  
Pavel Macháň ◽  
Jaroslava Ehrenbergerová ◽  
Radim Cerkal ◽  
Karolína Benešová ◽  
Kateřina Vaculová
Keyword(s):  
Hordeum Vulgare ◽  
Spring Barley ◽  
Limiting Factors ◽  
Environment Interaction ◽  
Hordeum Vulgare L ◽  
Beta Glucan ◽  
Fungicide Treatment ◽  
Spring Variety ◽  
Beta Glucans ◽  
Growing Environment

Arabinoxylan and beta-glucan contents are limiting factors for a wider use of barley production. Arabinoxylan and beta-glucan contents were assessed in grain samples in sets of seven malting hulled varieties, three hull-less lines and one hull-less spring variety grown in the localities of Branišovice, Žabčice, and Kroměříž in 2009 to 2011. Further, the effect of growing technologies on the level of these non-starch polysaccharides was studied. Variability of arabinoxylan contents was affected most significantly by a genotype and growing technology whereas variability of beta-glucan contents was mostly affected by a genotype and growing environment (interaction of year with locality). The highest values of arabinoxylans and beta-glucans were determined in the grain samples of hull-less lines (KM 1057: 6.16% of arabinoxylans and KM 2084: 6.41% of beta-glucans) and on the contrary, the lowest values of arabinoxylans were found in the grain of hull-less variety AF Lucius (3.85%) and lowest amounts of beta-glucans were found in malting variety Radegast (3.92%). The samples of the growing technology without fungicide treatment had on average more arabinoxylans and beta-glucans than the fungicide non-treated ones.

scholarly journals Delineation of Genotype × Environment Interaction for Identification of Stable Genotypes to Grain Yield in Mungbean

2020 ◽  
Vol 2 ◽  
Author(s):  
Santhi Madhavan Samyuktha ◽  
Devarajan Malarvizhi ◽  
Adhimoolam Karthikeyan ◽  
Manickam Dhasarathan ◽  
Arumugam Thanga Hemavathy ◽  
...  
Keyword(s):  
Grain Yield ◽  
Tamil Nadu ◽  
Stability Index ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Genotype Environment Interaction ◽  
South Indian ◽  
Indian State ◽  
Wide Adaptation ◽  
High Yields

In the present study, fifty-two mungbean (Vigna radiata) genotypes were evaluated for seven morphological traits at three different environments in South Indian state Tamil Nadu, namely Virinjipuram (E1), Eachangkottai (E2), and Bhavanisagar (E3) during Kharif 2017, 2018, and 2019, respectively. The data collected were subjected to variability and correlation analyses, followed by stability analysis using additive main effects and multiplicative interaction (AMMI) model, genotype and genotype × environment interaction effects (GGE) biplot. Variablility was observed among the genotypes for the following traits viz., plant height, days to fifty per cent flowering, number of pods per plant, pod length, number of seeds per pod, hundred seed weight and grain yield. Correlation analysis showed that the trait number of pods per plant was significantly associated with grain yield. The G × E was smaller than the genetic variation of grain yield as it portrayed the maximum contribution of genotypic effects (61.07%). GGE biplot showed E3 as a highly discriminating and representative environment. It also identified environment-specific genotypes viz., EC 396111 for E1, EC 396125 for E2 and EC 396101 for E3 environments. The genotypes with minimum genotype stability index (GSI) viz., V2802BG (7), HG 22 (13), and EC 396098 (13) were observed with wide adaptation and high yields across all the three environments. In summary, we identified stable genotypes adapted across environments for grain yield. These genotypes can be used as parent/pre-breeding materials in future mungbean breeding programs.

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