scholarly journals Genotype x Environment Interaction and Yield Stability of Several Yield Components Among Adapted Rice Cultivars in West Sumatra

Zuriat ◽  
2015 ◽  
Vol 18 (2) ◽  
Author(s):  
Aslim Rasyad ◽  
Azwir Anhar
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Oryza Sativa L ◽  
Environment Interaction ◽  
Ge Interaction ◽  
Genotype By Environment ◽  
West Sumatra ◽  
Commercial Purpose ◽  
1000 Grain Weight ◽  
Interaction Variance

Genotype by environment (GE) interaction and genotype stability of a trait in rice (Oryza sativa L.) are very important for plant breeders in making decision regarding the development and evaluation of new cultivars as well as for farmers in selecting suitable cultivars to be planted for commercial purpose. Yield components including panicles number plant–1, number of grains panicle–1, 1000-grain weight, and grain yield of five locally adapted cultivars of rice were evaluated at three locations in West Sumatera. The data were used to determine GE interaction variance components and stability of the traits. There were significant effects of locations on yield and some yield components except number of panicles plant–1. The cultivars differed significantly in all yield components but not in grain yield. The influence of GE interaction was highly significant on all yield components and grain yield. The magnitude of GE interaction variance component was greater than that of location for all traits. These data suggested that genotypes performed differently among the locations and were not stable with respect to the locations, so that farmers should select a suitable cultivar to be grown in the area of production.

scholarly journals Genetic variability, correlation and path analysis for yield and yield components in promising rice (Oryza sativa L.) genotypes

2015 ◽  
Vol 13 (1) ◽  
pp. 99-108 ◽  
Author(s):  
NS Kishore ◽  
T Srinivas ◽  
U Nagabhushanam ◽  
M Pallavi ◽  
Sk Sameera
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Selection Criteria ◽  
Oryza Sativa L ◽  
Genetic Advance ◽  
Rice Varieties ◽  
Yield And Yield Components ◽  
High Heritability ◽  
Correlation And Path Analysis ◽  
1000 Grain Weight

Seventy three rice varieties were evaluated for their variability with regards to yield and yield components. Estimates of heritability and genetic advance in per cent of mean were also obtained for the above traits. In addition, studies on character associations and path coefficients were also undertaken. The results revealed high variability, heritability and genetic advance in per cent of mean for grain yield while panicle bearing tillers and 1000 grain weight had recorded high heritability coupled with low genetic advance as per cent of mean. Further, yield was observed to be positively associated with panicle bearing tillers and number of filled grains per panicle and these characters were noticed to exert high direct effects on grain yield per plant. High indirect effects of most of the traits were noticed mostly through panicle bearing tillers per hill indicating importance of the trait as selection criteria in crop yield improvement programmes.SAARC J. Agri., 13(1): 99-108 (2015)

scholarly journals Analysis of Genotype-by-Environment Interaction in Winter Wheat Growth in Organic Production System

2018 ◽  
pp. 212 ◽  
Author(s):  
Osval Antonio Montesinos- López ◽  
P. Stephen Baenziger ◽  
Kent M. EskridgeK ◽  
Richard S. Little ◽  
Eliel Martínez- Crúz ◽  
...  
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Plant Height ◽  
Vegetation Index ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Ge Interaction ◽  
Genotype By Environment ◽  
Volume Weight ◽  
Grain Volume Weight

The goal of this study was to evaluate the performance of 36 wheat winter (Triticum aestivum L.) lines in organic systems in three locations in Nebraska, to compare the performance of the released cultivars with experimental lines to help in the process of selection, to study the magnitude and behavior of genotype-by-environment interaction for grain yield, anthesis date, plant height, protein content, grain volume weight and vegetation index, and to identify the more stable genotypes. Linear mixed models and site regression model was implemented for reaching the objectives of the present research. Genotypic and GE interaction are significant across the three locations for all traits except for anthesis date. Environment were significant for the six traits. Yield is negative correlated with protein content and plant height. In general the genetic correlation explained more of the genotype performance, although the GE interaction was significant. The best genotypes for grain yield across the three environments were genotypes NW03666, SD07165, NE07444 and Overland. For vegetation index the best lines were: Lyman and Buckskin. For grain volume weight the best lines were: Lyman, NW03681, Danby and Goodstreak. For anthesis date all genotypes were similar. For plant height, the best lines were Goodstreak, Buckskin and Clarkscream.  For protein content, the best lines were Goodstreak, Karl92, Lyman, and Clarkscream. In general the average grain yield of the experimental lines was better than the released lines. For anthesis date, the performance was similar between experimental and released lines. However, for vegetation index, plant height, grain volume weight and protein content, the average performance of the experimental lines was lower than the released lines.

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).

Stability Analysis of Agronomic Traits for Maize (Zea Mays L.) Genotypes Based on Ammi Model

2021 ◽  
Vol 50 (2) ◽  
pp. 343-350
Author(s):  
Meijin Ye ◽  
Zhaoyang Chen ◽  
Bingbing Liu ◽  
Haiwang Yue
Keyword(s):  
Grain Yield ◽  
Agronomic Traits ◽  
Interaction Model ◽  
Genotype By Environment Interaction ◽  
Kernel Weight ◽  
Environment Interaction ◽  
Maize Hybrids ◽  
Genotype By Environment ◽  
Ammi Model ◽  
The Ideal

Stability and adaptability of promising maize hybrids in terms of three agronomic traits (grain yield, ear weight and 100-kernel weight) in multi-environments trials were evaluated. The analysis of AMMI model indicated that the all three agronomic traits showed highly significant differences (p < 0.01) on genotype, environment and genotype by environment interaction. Results showed that genotypes Hengyu321 (G9), Yufeng303 (G10) and Huanong138 (G3) were of higher stability on grain yield, ear weight and 100-kernel weight, respectively. Genotypes Hengyu1587 (G8) and Hengyu321 (G9) showed good performance in terms of grain yield, whereas Longping208 (G2) and Weike966 (G12) showed broad adaptability for ear weight. It was also found that the genotypes with better adaptability in terms of 100-kernel weight were Zhengdan958 (G5) and Weike966 (G12). The genotype and environment interaction model based on AMMI analysis indicated that Hengyu1587 and Hengyu321 were the ideal genotypes, due to extensive adaptability and high grain yield under both testing sites. Bangladesh J. Bot. 50(2): 343-350, 2021 (June)

scholarly journals Evaluation of Urea Super Granule as a Source of Nitrogen in Transplant Aman Rice

2014 ◽  
Vol 24 (1-2) ◽  
pp. 29-37 ◽  
Author(s):  
TA Qurashi ◽  
MA Salam ◽  
M Jannat ◽  
MG Rabbani
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Block Design ◽  
Prilled Urea ◽  
Randomized Complete Block Design ◽  
Yield And Yield Components ◽  
Use Efficiency ◽  
Experimental Treatments ◽  
N Management ◽  
1000 Grain Weight

An experiment was carried out at Bangladesh Agricultural University, Mymensingh to evaluate the effect of urea super granule (USG) as a source of nitrogen on the yield and yield components of transplant Aman rice cv. BRRI dhan39, BRRI dhan46 and BINA dhan7. Five levels of N (viz., 0, 60, 120 kg ha-1 as prilled urea and 60 and 120 kg ha-1 as USG) were taken as experimental treatments. The experiment was laid out in a randomized complete block design with three replications. Plant height, effective tillers hill-1, grains panicle-1 and grain yield varied significantly due to different cultivars. All the yield and yield components except 1000-grain weight were influenced significantly by the levels of nitrogen fertilizer. The highest grain yield (4.82 t ha-1) was recorded in BINA dhan7 and the lowest one (4.30 t ha-1) was recorded in BRRI dhan39. Nitrogen @ 120 kg ha-1 as USG performed the best among the treatments in respect of yield and yield components of rice. The highest grain yield (5.46t ha-1) was obtained from BINA dhan7 with 120 kg N ha-1 as USG which was statistically identical with 60 kg N ha-1 as USG. A considerable amount (31.25%) of prilled urea (PU) nitrogen could be saved by using USG. It may be concluded that USG could be used as N management to achieve better nitrogen use efficiency in reducing N loss than the PU.DOI: http://dx.doi.org/10.3329/pa.v24i1-2.19095 Progress. Agric. 24(1&2): 29 - 37, 2013

scholarly journals Genetic variability, character association and diversity analyses for economic traits in rice (Oryza sativa L.)

2014 ◽  
Vol 10 (2) ◽  
pp. 83-94 ◽  
Author(s):  
N Pratap ◽  
PK Singh ◽  
R Shekhar ◽  
SK Soni ◽  
AK Mall
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Oryza Sativa L ◽  
Flag Leaf ◽  
Selection Strategy ◽  
Economic Traits ◽  
Character Association ◽  
Yield And Yield Components ◽  
Biological Yield ◽  
High Yielding Varieties

One hundred high yielding rice genotypes were evaluated to determine character association, variability and diversity for grain yield, yield components and quality characters. High estimates of heritability, genetic advance, genotypic and phenotypic coefficients of variation were recorded for panicle hill-1, flag leaf area and grain yield hill-1. Majority of the traits showed significant and positive associations between yield and yield components like biological yield hill-1 followed by harvest-index as most important traits which need due consideration at the time of devising selection strategy. Thus, presence of several contrasting types of inter-relationships simultaneously would bring improvement in others due to correlated responses. Path analysis might have resulted into cancellation of contrasting associations by each other which ultimately lead to lowering of the net impact. This suggested that selection would be quite efficient in improving yield and yield components in context of germplasm evaluated. The crossing between superior genotypes of above diverse cluster pairs may provide desirable transgressive segregants for developing high yielding varieties of aromatic and non-aromatic rice. Thus, hybridization of Swarna of cluster XI with promising genotypes of cluster VI (Narendra 118, Vandana, Narendra 1, Akashi and Narendra 97) is recommended. DOI: http://dx.doi.org/10.3329/sja.v10i2.18326 SAARC J. Agri., 10(2): 83-94 (2012)

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