scholarly journals An Agent-Environment Interaction Model

Author(s):  
Scott A. DeLoach ◽  
Jorge L. Valenzuela
2021 ◽  
Vol 50 (2) ◽  
pp. 343-350
Author(s):  
Meijin Ye ◽  
Zhaoyang Chen ◽  
Bingbing Liu ◽  
Haiwang Yue

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)


2013 ◽  
Vol 3 (3) ◽  
pp. 108
Author(s):  
Jamaluddin Ahmad

The consistency of regional government budget is actually reflected from adjustment planning and budgeting program, which is really determined by formulating process of annual government planning every year. Formulating process is bureaucracy responsibility, so most of behaviors of bureaucracy where dominated. This research aimed at: (1) describing behaviors of bureaucracy types in formulating process annual government planning, (2) describing external environment models interaction with behaviors of bureaucracy types in formulating process annual government planning, and (3) explain the formulating process of annual government planning principles with behaviors of bureaucracy types. The results of the research showed that between behaviors of bureaucracy types consists of: career staff type, politics type, professional type, and missioner type, which dominated by the career staff type in formulating process annual government planning. This happens because of the perception, individual decision making, communication patterns, unit leadership, internal organization and culture. While the external environment interaction model of  bureaucratic behavior is a social model the determined the regency leadership factor, factor structure, factor of bureaucratic authority, and cultural factors. While the application of the principles annual government planning formulation based on the type of bureaucratic behavior has basically done but still needs improvement.


Author(s):  
Zahra Abbasi ◽  
Jan Bocianowski

AbstractThe objective of this study was to assess genotype by environment interaction for 21 physiological traits in sugar beet (Beta vulgaris L.) parents and hybrids grown in Rodasht Agricultural Research Station in Iran by the additive main effects and multiplicative interaction model. The study comprised of 51 sugar beet genotypes [10 multigerm pollen parents, four monogerm seed parents and 36 F1 hybrids], evaluated at four environments in a randomized complete block design, with three replicates. The additive main effects and multiplicative interaction analyses revealed significant environment main effects with respect to all observed traits, except extraction coefficient of sugar. The additive main effects and multiplicative interaction stability values ranged from 0.009 (G17 for leaf Ca2+) to 9.698 (G09 for extraction coefficient of sugar). The parental forms 2 7233-P.29 (G38) and C CMS (G49) as well as hybrids 2(6)*C (G27) and 5*C (G33) are recommended for further inclusion in the breeding programs because of their stability and good average values of observed traits.


2019 ◽  
Vol 33 (4) ◽  
pp. 360-376 ◽  
Author(s):  
Haizhu Zhang ◽  
Shengfeng Qin ◽  
Rong Li ◽  
Yisheng Zou ◽  
Guofu Ding

Euphytica ◽  
2019 ◽  
Vol 215 (11) ◽  
Author(s):  
Jan Bocianowski ◽  
Jerzy Księżak ◽  
Kamila Nowosad

Abstract The objective of this study was to evaluate the genotype by environment interaction using the additive main effects and multiplicative interaction model for seeds yield of pea cultivars grown in Poland. Twelve pea (Pisum sativum L.) cultivars: Bohun, Boruta, Cysterski, Ezop, Kavalir, Lasso, Medal, Santana, Tarchalska, Terno, Wenus and Zekon were evaluated in 20 environments (ten locations in 2 years). The experiment was laid out as randomized complete block design with three replicates. Seeds yield ranged from 26.10 dt ha−1 (for Wenus in Radostowo 2011) to 79.73 dt ha−1 (for Lasso in Słupia 2010), with an average of 50.70 dt ha−1. AMMI analyses revealed significant genotype and environmental effects as well as genotype-by-environment interaction with respect to seeds yield. In the analysis of variance, 89.19% of the total seeds yield variation was explained by environment, 1.65% by differences between genotypes, and 8.33% by GE interaction. The cultivar Terno is the highest stability. The cultivar Tarchalska is recommended for further inclusion in the breeding program because its stability and the highest averages of seeds yield.


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