Grain Yield Stability Analysis of Barley Doubled Haploid Lines in Algerian Semi-arid Zones

2016 ◽  
Vol 8 (2) ◽  
pp. 43-51
Author(s):  
D. Ramla ◽  
M.S. Yakhou ◽  
N. Bilek ◽  
M. Hamou ◽  
A. Hannachi ◽  
...  
Keyword(s):  
Stability Analysis ◽  
Grain Yield ◽  
Doubled Haploid ◽  
Yield Stability ◽  
Arid Zones ◽  
Doubled Haploid Lines ◽  
Semi Arid

Evaluation of Grain Yield and Its Components for Some Somaclones and Doubled Haploid Lines of Bread Wheat

2013 ◽  
Vol 17 (4) ◽  
pp. 13-27
Author(s):  
Hoda M. M. El-Gharbawy ◽  
K. I. M. Gad ◽  
S. R. S. Sabry
Keyword(s):  
Grain Yield ◽  
Bread Wheat ◽  
Doubled Haploid ◽  
Doubled Haploid Lines

scholarly journals Grain yield stability analysis using AMMI and GGE biplot models in different breeding zones of Bangladesh

2021 ◽  
Author(s):  
Marium Khatun ◽  
A. K. M. Aminul Islam ◽  
M. Rafiqul Islam ◽  
M. A. Rahman Khan ◽  
M. Kamal Hossain
Keyword(s):  
Stability Analysis ◽  
Grain Yield ◽  
Primary Component ◽  
Yield Stability ◽  
Second Primary ◽  
Gge Biplot ◽  
Environment Analysis ◽  
Biplot Analysis ◽  
Ammi Analysis ◽  
Breeding Zone

Abstract During the 2018-2019 Boro season (dry season), 70 rice genotypes were examined with alpha lattice experimental design with the goal of measuring grain yield stability analysis. Results indicated that AMMI analysis explained 100% of the G×E variance, while captured 81.74% variance. Based on the GGE and AMMI analysis, the most stable and high yielding genotype was identified G41 followed by G22, G26, G58, G24 and G61. The AMMI 1 biplot analysis revealed that the first primary component of interaction (IPC1) factor was responsible for 64.2 % variation due to G × E interaction. On other hand, the second primary component (PC2) factor accounted for 35.8% variation of the G × E interaction. These two-primary component (PC1 and PC2), all together accounted for 100% variation of the G × E interaction. The contribution of G68 was highest to the interaction followed by G70, G58, G42, G61, G45, G38, G14, G33, G60, G53, and G9. Best environment analysis indicated that the ranking was Rajshahi < Gazipur < Cumilla. GGE biplot analysis accounted for 81.74% variation comprising two principal components PC1 and PC2 with 45.62% and 36.12% variations respectively. Rajshahi was more stable than Gazipur. Based on environment analysis genotypes, G22, G26, G58, and G44 can be recommended as best stable genotypes that breeding zone. However, the genotype G61 was identified adapted to Cumilla breeding zone.

YIELD STABILITY OF DOUBLE HAPLOID LINES OF BARLEY

1978 ◽  
Vol 58 (4) ◽  
pp. 929-933 ◽  
Author(s):  
E. REINBERGS ◽  
L. S. P. SONG ◽  
T. M. CHOO ◽  
K. J. KASHA
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Doubled Haploid ◽  
Regression Coefficient ◽  
Regression Method ◽  
Linear Regression Method ◽  
Breeding Methods ◽  
Doubled Haploid Lines ◽  
The Mean ◽  
The Stability

The effect of complete homozygosity and homogeneity on stability of grain yield in barley was studied in 38 doubled haploid lines derived from F1 plants of six biparental crosses. The number of doubled haploid lines in each cross ranged from 3 to 12. These along with 13 check cultivars were evaluated at five locations in Ontario in 1975 and 1976. The linear regression method proposed by Eberhart and Russell in 1966 was used to analyze the stability of grain yield. In general, the response of doubled haploid lines to different environments, based upon the regression coefficient, did not differ from the response of the check cultivars. Similar responses were also observed among check cultivars, among crosses, and among doubled haploid lines within crosses. Furthermore, the pooled deviation from regression mean squares for the check cultivars was not different from that for the doubled haploid lines. The mean yield of the doubled haploid lines was as high as that of the check cultivars. Significant differences in mean yield among crosses was not detectable but considerable genetic variability in grain yield was found among lines within three of the crosses. It appears that under Ontario conditions homogeneous and homozygous lines derived by the doubled haploid method are as good agronomically and have yields as stable as the licensed cultivars developed by conventional breeding methods.

Diallel Analysis of Grain Yield in Barley Using Doubled-Haploid Lines*

1986 ◽  
Vol 97 (2) ◽  
pp. 129-137 ◽  
Author(s):  
T. M. Choo ◽  
A. Kotecha ◽  
E. Reinbergs ◽  
L. S. P. Song ◽  
S. O. Ffjer
Keyword(s):  
Grain Yield ◽  
Doubled Haploid ◽  
Diallel Analysis ◽  
Doubled Haploid Lines

scholarly journals Yield Assessment of Maize Varieties under Varied Water Application in Semi-Arid Conditions of Southern Mozambique

Agronomy ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2541
Author(s):  
Alfredo Nhantumbo ◽  
Sebastião Famba ◽  
Isaac Fandika ◽  
Armindo Cambule ◽  
Elijah Phiri
Keyword(s):  
Grain Yield ◽  
Large Scale ◽  
Smallholder Farmers ◽  
Yield Stability ◽  
High Yield ◽  
Water Application ◽  
Arid Conditions ◽  
Maize Genotypes ◽  
Maize Varieties ◽  
Semi Arid

Maize is one of the most important staple food crops in Mozambique. Its production is country-wise dominated by smallholder farmers (more than 90%) under rain-fed conditions, where the risk of crop failure is high, especially under semi-arid conditions in southern Mozambique. Several maize genotypes have been developed for the broad agro-ecological zone adaptation but lack strong evidence about their productivity and yield stability to support decision-making in farming systems. In order to assess the yield and yield stability of maize genotypes under different environments, five identical on-station trials were implemented in the period 2017 to 2019, covering summer and winter seasons in the semi-arid region of southern Mozambique. The trials were established at the experimental station of the Universidade Eduardo Mondlane (UEM) in Sábie and at the Instituto de Investigação Agrária de Moçambique (IIAM) in Chókwe. A strip-plot design in a randomized complete block arrangement with 15 maize genotypes, and three water application (rainfall plus irrigation) levels in four replications was followed in a line-source irrigation arrangement. The water application levels varied from 151 mm to 804 mm, covering different water regimes. Under well-watered summer conditions, the genotypes G6 and G12 showed high yield and high grain yield stability. In the drier conditions, either in summer or winter, the G2 and G11 genotypes produced higher grain yield but with low stability. Both groups of genotypes have a high potential to be included in technology transfer packages to smallholder farmers to address food security or large-scale commercial farmers differently.

scholarly journals Use of Wild Relatives in Durum Wheat (Triticum turgidum L. var. durum Desf.) Breeding Program: Adaptation and Stability in Context of Contrasting Environments in Tunisia

Agronomy ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1782
Author(s):  
Sourour Ayed ◽  
Imen Bouhaouel ◽  
Afef Othmani ◽  
Filippo Maria Bassi
Keyword(s):  
Grain Yield ◽  
Durum Wheat ◽  
Triticum Turgidum ◽  
Yield Stability ◽  
Yield Potential ◽  
Environment Interaction ◽  
Wild Relative ◽  
Field Station ◽  
Cropping Seasons ◽  
Semi Arid

In Mediterranean regions, the performance of durum wheat (Triticum turgidum L. var. durum Desf.) yield often varies due to significant genotype × environment interaction (GEI); therefore, yield stability is an important consideration in breeding programs. The aim of this research was to explore the GEI pattern and yield stability of 24 promising durum wheat lines, selected by ICARDA in several African countries (seven elites, four commercial varieties, and 13 durum wheat wide crosses, generated by hybridization of elites and Triticum dicoccoides Koern. ex Schweinf., Triticum araraticum Jakubz, and Aegilops speltoides Tausch) against a Tunisian local check variety ‘Salim’. Yield assessment was conducted across six environments under rainfed conditions, at the field station of Kef in a semi-arid region during four cropping seasons (2014–2015, 2015–2016, 2016–2017, and 2017–2018) and in a sub-humid region at the station of Beja during two cropping seasons (2015–2016 and 2018–2019). The analysis of variance showed that the environment is the main source of variation of grain yield (72.05%), followed by the interaction environments × genotypes (25.33%) and genotypes (2.62%). The genotype × genotype by environment model (PC) based on grain yield identified a mega-environment including Kef (2016–2017 and 2017–2018) and Beja (2015–2016 and 2018–2019) and elite line 22 as a widely adapted genotype. Combined analysis, computed using the average grain yield of lines and the yield stability wide adaptation index (AWAI), showed that elite lines 9 and 23 (2.41 and 2.34 t·ha−1, respectively), and wild relative-derived lines, 5, 1, and 10 (2.37, 2.31, and 2.28 t·ha−1, respectively) were more stable and better yielding than the national reference (2.21 t·ha−1). This finding supports the good yield potential of wild relative-derived lines. The five selections are recommended to be developed in multi-environments in several regions of Tunisia, especially in semi-arid area.

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