Investigating the production of sexual resting structures in a plant pathogen reveals unexpected self-fertility and genotype-by-environment effects

2013 ◽  
Vol 26 (8) ◽  
pp. 1716-1726 ◽  
Author(s):  
C. Tollenaere ◽  
A.-L. Laine
Keyword(s):  
Plant Pathogen ◽  
Genotype By Environment ◽  
Environment Effects

scholarly journals The performance of true seed shallot lines under different environments of Ethiopia

2014 ◽  
Vol 59 (2) ◽  
pp. 129-139 ◽  
Author(s):  
Aklilu Shimeles
Keyword(s):  
Regression Coefficient ◽  
Small Deviation ◽  
Environmental Index ◽  
Combined Analysis ◽  
Genotype By Environment ◽  
Environment Effects ◽  
True Seed ◽  
The Mean ◽  
Growing Conditions ◽  
Bulb Yield

Seven true seed shallot lines were evaluated for 3 years at 3 locations to determine their performance and stability. Stability differences were assessed on the basis of linear regression of the lines on environmental index and on deviation from linear function along with the mean yield. The combined analysis showed that bulb yield over 9 environments ranged from 15.1 to 17.5 t ha-1 with overall mean yield of 16.5 t ha-1, and lines Vethalam, Tropix, Dz-94 and Athlas gave the highest mean yield. The combined analysis of variance showed significant (p<0.05) genotype and genotype by environment effects on bulb yield. The regression coefficient for bulb yield ranged from 0.72 to 1.36. The regression coefficient of two high yielding lines (Vethalam and Athlas) was above 1, and was higher in environments where growing conditions were favorable. High and significant deviations were obtained for lines Tropix and Athlas and these lines were found unstable to change in environment. However, line Tropix showed specific adaptation to low yielding environments of Kulumsa and Melkassa. The best line Vethalam with a small deviation from regression was found widely adaptable to different environments and it was released with local name ?Yeras? to be grown in Rift Valley and similar areas in Ethiopia.

scholarly journals The Quick and the Dead: Microbial Demography at the Yeast Thermal Limit

2016 ◽  
Author(s):  
Colin S. Maxwell ◽  
Paul M. Magwene
Keyword(s):  
Heat Stress ◽  
Early Life ◽  
Asymmetric Cell Division ◽  
Significant Heterogeneity ◽  
Yeast Saccharomyces Cerevisiae ◽  
Genotype By Environment ◽  
Environment Effects ◽  
High Death ◽  
Cell Measurement ◽  
Age Structured

AbstractThe niche of microorganisms is determined by where their populations can expand. Populations can fail to grow because of high death or low birth rates, but these are challenging to measure in microorganisms. We developed a novel technique that enables single cell measurement of age-structured birth and death rates in the budding yeast, Saccharomyces cerevisiae, and used this method to study responses to heat stress in a genetically diverse panel of strains. We find that individual cells show significant heterogeneity in their rates of birth and death during heat stress. Genotype-by-environment effects on processes that regulate asymmetric cell division contribute to this heterogeneity. These lead to either premature senescence or early life mortality during heat stress, and we find that a mitochondrial inheritance defect explains the early life mortality phenotype of one of the strains we studied. This study demonstrates how the interplay of physiology, genetic variation, and environmental variables influences where microbial populations survive and flourish.

scholarly journals Dynamic Gene-Based Ecophysiological Models to Predict Phenotype from Genotype and Environment Data

2021 ◽  
Author(s):  
C. Eduardo Vallejos ◽  
James W. Jones ◽  
Mehul S. Bhakta ◽  
Salvador A. Gezan ◽  
Melanie J. Correll
Keyword(s):  
Climate Change ◽  
Prediction Models ◽  
Policy Decision ◽  
Decision Makers ◽  
Modular Approach ◽  
Breeding Programs ◽  
Crop Models ◽  
Genotype By Environment ◽  
Environment Effects ◽  
Genotype Information

ABSTRACTPredicting the phenotype from the genotype is one of the major contemporary challenges in biology. This challenge is greater in plants because their development occurs mostly post-embryonically under diurnal and seasonal environmental fluctuations. Current phenotype prediction models do not adequately capture all of these fluctuations or effectively use genotype information. Instead, we have developed a dynamic modular approach that captures the genotype, environment, and Genotype-by-Environment effects to express the time-to-flowering phenotype in real time in Phaseolus vulgaris. The module we describe can be applied to different plant processes and can gradually replace processes in existing crop models. Our model can enable accelerated progress in diverse breeding programs, particularly with the prospects of climate change. Finally, a gene-based simulation model can assist policy decision makers in matters pertaining to prediction of food supplies.

Genotype-by-environment effects on the performance of recombinant inbred lines of Virginia-type peanut

Euphytica ◽  
2018 ◽  
Vol 214 (5) ◽  
Author(s):  
Abhinandan S. Patil ◽  
Ilan Hedvat ◽  
Yael Levy ◽  
Shmuel Galili ◽  
Ran Hovav
Keyword(s):  
Recombinant Inbred ◽  
Recombinant Inbred Lines ◽  
Inbred Lines ◽  
Genotype By Environment ◽  
Environment Effects

scholarly journals Genotype by environment effects on promiscuous nodulation in soybean (Glycine max L. Merrill)

2017 ◽  
Vol 6 (1) ◽  
Author(s):  
Eric E. Agoyi ◽  
Thomas L. Odong ◽  
John B. Tumuhairwe ◽  
Godfree Chigeza ◽  
Brian W. Diers ◽  
...  
Keyword(s):  
Glycine Max ◽  
Genotype By Environment ◽  
Environment Effects ◽  
Glycine Max L

Involvement of Year-to-Year Variation in Thermal Time, Solar Radiation and Soil Available Moisture in Genotype-by-Environment Effects in Maize

Crop Science ◽  
2016 ◽  
Vol 56 (5) ◽  
pp. 2180-2192 ◽  
Author(s):  
E.A. Lee ◽  
W. Deen ◽  
M.E. Hooyer ◽  
A. Chambers ◽  
G. Parkin ◽  
...  
Keyword(s):  
Solar Radiation ◽  
Thermal Time ◽  
Genotype By Environment ◽  
Environment Effects
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