Genotype-environment interaction for the sensory profile of Coffea arabica lines in high temperature regions in the Western Amazon.

The aim of this study was to select Coffea arabica lines with improved adaptability to tropical edaphic conditions. Competitive trials were set up at three locations of the states of Rondônia and Acre. Each trial was composed of 21 lines in the F5 generation and four reference cultivars evaluated as controls. To analyze beverage quality, six liters of coffee fruit at the M3 maturity stage was collected for each line in the environments of Alta Floresta do Oeste, RO (E1), Porto Velho, RO (E2), and Rio Branco, AC (E3). On the same day, after collection, the fruit was washed and placed to dry (natural processing) in full sun over canvas, until the samples reached 11-12% moisture. Sensory analysis of the samples was carried out by three judges/cuppers (Q Grader), according to the sensory analysis method of the Specialty Coffee Association of America. Analysis of variance showed that the effect of the genotype x environment interaction was significant, indicating differentiated performance of the lines grown in the different locations. Environments E2 and E3 were not favorable for beverage quality, whereas environment E1 showed better conditions for production of specialty coffees. In sensory analysis, six lines had higher final beverage quality scores than the controls. Line 2 had a final score of 80, line 11 had a final score of 79, and line 12 had a final score of 77. In addition to good beverage quality, lines 2, 11 and 12 also had yields higher than 30 bags ha-1 in the average of three harvest periods, indicating the possibility of selecting lines with improved adaptation to tropical regions

Application of nonlinear factor analysis to genotype-environment interaction

The intention of this paper is to show how the methods of nonlinear factor analysis as developed by McDonald (Br. J. Math. Stat. Psychol. 20:205-215, 1967) can be used to study genotype-environment interaction. The method is applied to the interaction of genotype and within-family en-vironmental influences. Simulated twin data are used to illustrate how this type of interaction may be detected and estimated. It is shown that estimates of genetic influences are not affected by G x E interaction. KEY WORDS: genotype-environment interaction; nonlinear factor analysis; twin data

Genotype*environment interaction and application

Call number: LD2668 .T4 AGRN 1987 L58Master of ScienceAgronom

Genotype × Environment Interaction: A Prerequisite for Tomato Variety Development

Tomato (Solanum lycopersicum L.) is the second most important vegetable crop in the world due to its high level of nutrition particularly in vitamins and antioxidants. It is grown in several ecologies of the world due to its adaptability and ease of cultivation. Besides field conditions, tomatoes are grown in controlled environments which range from hydroponics and simple high tunnel structures to highly automated screen houses in advanced countries. However, the yield and quality of the fruits are highly influenced by the environment. This results in unpredictable performances in different growing environments in terms of quality, a phenomenon known as genotype by environment (G × E) interaction which confounds selection efficiency. Various approaches are employed by plant breeders to evaluate and address the challenges posed by genotype by environment interaction. This chapter discusses various field and controlled environments for growing tomatoes and the effect of these environments on the performance of the crop. The various types of genotype × environment interactions and their effect of the tomato plant are discussed. Finally, efforts are made to suggest ways and methods of mitigating the confounding effects of genotype × environment interaction including statistical approaches

Genotype-environment interaction in traits of egg-production poultry stocks

Data used in this study were collected during the Seventeenth and Eighteenth Tennessee Random Sample Laying Tests (1974 and 1975). Because of their importance to poultrymen many economic egg production traits were studied. Analysis of variance was conducted to determine the existence of the differences among stocks and treatments and of interactions. Stocks were found to differ significantly from each other with respect to most of the traits studied. To illustrate the differences among stocks, a ranking of their means with respect to each traits was prepared. Treatment effects (varying dietary salt levels and addition of bicarbonate and of methionine and choline) were found to be significant with respect to some tratis studied but not with respect to the others. A low level of salt (0.25%) was found to increase significantly (P \u3c 0.05) average egg weight, and the same effect for low level of choline (i.e.. no added choline) was found. The low salt level had a significant (P \u3c 0.001) influence in increasing percent small blood spots. Supplementary bicarbon-ate of soda significantly (P \u3c 0.05) decreased percent mortality. Choline addition significantly (P \u3c 0.05) increased the percentage of medium eggs. Addition of methionine to the layer diet significantly (P \u3c 0.05) improved feed efficiency traits, i.e.. it significantly (P \u3c 0.05) decreased amount of feed per bird housed, pounds of feed per pound of eggs and pounds of feed per dozen eggs. Supplementary methionine significantly (P \u3c 0.001) decreased specific gravity. There were many indications of interaction. First-order inter-actions, salt-by-bicarbonate-levels interaction was significant (P \u3c 0,05 and P \u3c 0.01) with respect to average egg weight and percent peewee eggs. Stock-by-salt-level interaction was highly significant (P \u3c 0.01) with respect to average egg weight and also significant (P \u3c 0.05) with respect to final body weight, percent large eggs and Haugh units. Interaction of stock with bicarbonate was significant (P \u3c 0.05) with respect to percent large eggs. Stock-by-choline interaction was significant (P \u3c 0.05) with respect to percent large eggs and percent small meat spots. Stockby- methionine interaction was significant (P \u3c 0.01) with respect to per cent large eggs and percent large meat spots. Interaction between choline and methionine was significant (P \u3c 0.01) with respect to specific gravity. Second-order interaction of stock-by-salt-by-bicarbonate was significant (P \u3c 0.05 and P \u3c 0.01) with respect to average egg weight and percent large meat spots, respectively. Stock-by-choline-by-methionine interaction was significant (P \u3c 0.05) with respect to percent small eggs, large eggs and extra-large eggs. The second kind of examination of the data was conducting Bartlett\u27s Test of homogenity of variances. The results of that Test de-clared that variances of stocks to be not homogenous with respect to per-cent peewee, average egg weight, feed efficiency traits, percent small blood spots, percent meat spots and final body weight in the Seventeenth Test. In the Eighteenth Test the hypothesis of homogenity of stock var-iances was rejected with respect to percent peewee, small, medium eggs, average egg weight, percent blood and meat spots and percent mortality. Treatments variances were not homogenous with respect to percent peewee , percent small blood spots and percent large meat spots in the Seventeenth Test. In the Eighteenth Test, with respect to percent peewee eggs and percent small eggs, treatment variances were found to be not homogeneous. The third analysis conducted was the calculation of conventional product - moment coefficients of correlation among all traits studied. Sign and magnitude of the relationships between the traits showed great variation from treatment to treatment and from stock to stock, providing further evidence of differential response of stocks to variations in environment. Evidence for genotype-environment interaction in this study and in others is sufficient to Justify further research specifcally planned to demonstrate and measure such interaction but is not sufficient to formulate any definite and precise recommendations as to testing pro-cedures breeders should use

Análisis de rentabilidad de la inversión en mejoramiento genético de ganado bovino lechero bajo condiciones chilenas

Published by Asociación de Economistas Agrarios de ChileFarm Management, profitability index, genotype-environment interaction, semen price.,

Zur Genotyp-Umwelt-Interaktion von Fleischqualitätsmerkmalen bei unterschiedlichen Genotypen in ökologischer und konventioneller Schweinemast

Seven different pig breeds were kept under conventional and under organic feeding and housing conditions on two performance testing stations to analyse genotype-environment interactions for meat quality traits. Genetically controlled physical pork quality traits like pH- and EC-values are unaffected by both housing and feeding systems and no genotype-environment interaction could be found. In contrast, chemical meat characteristics like intramuscular fat content and fatty acid pattern are strongly influenced by genotype and feeding and a significant genotype-environment interaction. But no considerable reranking could be observed. The differences are caused by the differences in energy and amino acid supply between environments and variable lean meat synthesis capacity of the various genotypes. The significance is mainly generated by varying differences between environments within genotypes

Genotype-environment Interaction Study of Bermudagrass Yield

Agronom