The Importance of the Main Effect Even Within an Interaction Model: Elimination vs. Expansion of the Bereavement Exclusion in the Diagnostic Criteria for Depression

2009 ◽  
Vol 166 (4) ◽  
pp. 491-492 ◽  
Author(s):  
JEROME C. WAKEFIELD ◽  
MARK F. SCHMITZ ◽  
MICHAEL B. FIRST ◽  
ALLAN V. HORWITZ
Keyword(s):  
Diagnostic Criteria ◽  
Interaction Model ◽  
Model Elimination ◽  
Main Effect

scholarly journals Using Additive Main Effect and Multiplicative Interaction Model for Exploration of Yield Stability in Some Lentil (Lens Culinaris Medik.) Genotypes

2014 ◽  
Vol 67 (1) ◽  
pp. 45-59
Author(s):  
Naser Sabaghnia ◽  
Rahmatollah Karimizadeh ◽  
Mohtasham Mohammadi
Keyword(s):  
Analysis Of Variance ◽  
Lens Culinaris ◽  
Interaction Model ◽  
Stability Parameters ◽  
Multiplicative Interaction ◽  
Genotype By Environment ◽  
Semiarid Environments ◽  
Main Effect ◽  
Ammi Analysis ◽  
Validation Procedure

AbstractThe additive main effect and multiplicative interaction (AMMI) analysis has been indicated to be effective in interpreting complex genotype by environment (GE) interactions of lentil (Lens culinarisMedik.) multienvironmental trials. Eighteen improved lentil genotypes were grown in 12 semiarid environments in Iran from 2007 to 2009. Complex GE interactions are difficult to understand with ordinary analysis of variance (ANOVA) or conventional stability methods. Combined analysis of variance indicated the genotype by location interaction (GL) and three way interactions (GYL) were highly significant. FGH1and FGH2tests indicated the five significant components; FRatioshowed three significant components and F-Gollob detected seven significant components. The RMSPD (root mean square predicted difference) values of validation procedure indicated seven significant components. Using five components in AMMI stability parameters (EVFI, SIP-CFI, AMGEFI and DFI) indicated that genotypes G5 and G6 were the most stable genotypes while considering three components in of AMMI stability parameters (EVFII, SIPCFII, AMGEFII and DFII) showed that genotypes G8 and G18 were the most stable genotypes. Also genotypes G2, G5 and G18 were the most stable genotypes according to AMMI stability parameters which calculated from seven components (EVFIII, SIP-CFIII, AMGEFIII and DFIII). Among these stable genotypes, only genotypes G2 (1365.63 kg × ha-1), G11 (1374.13 kg × ha′1) and G12 (1334.73 kg × ha-1) had high mean yield and so could be regarded as the most favorable genotype. These genotypes are therefore recommended for release as commercial cultivars.

scholarly journals Model selection in additive main effect and multiplicative interaction model in durum wheat

Genetika ◽  
2012 ◽  
Vol 44 (2) ◽  
pp. 325-339 ◽  
Author(s):  
Naser Sabaghnia ◽  
Rahmatollah Karimizadeh ◽  
Mohtasham Mohammadi
Keyword(s):  
Durum Wheat ◽  
Interaction Model ◽  
Principal Component ◽  
Wheat Genotype ◽  
Ge Interaction ◽  
Stability Parameters ◽  
Data Set ◽  
Group Iii ◽  
Main Effect ◽  
Ammi Model

The study included data set of 20 durum wheat genotype across 15 rain-fed environments. A combined analysis of variance showed that the genotypes differed significantly for seed yield and GE (year ? location) interaction. Cross validations procedure and four various F-tests including FGollob, FRatio, FGH1 and FGH2 are used for testing the GE interaction principal component analysis (IPCA) axes and indicated that two, four, six or seven axes could be significant. According to EV1, D1, AMGE1 and SIPC1 parameters, genotypes G3, G7 and G17 were the most stable genotypes while based on EV4, D4, SIPC4 and AMGE4 parameters, genotype G13 was the most stable genotype. The hierarchical clustering showed that the twenty one studied the AMMI stability parameters and mean yield could be divided into four distinct groups. Group III contains mean yield, SIPC4, SIPC6 and SIPC8 which were computed from four, six or eight IPCAs. In conclusion, G13 (DON-MD 81- 36) was found to be the most stable genotype as well as high mean yield performance (2592.45 kg ha-1) and so is recommended for commercial release in semi-arid areas of Iran. Also, the SIPC-based stability parameters of the AMMI model was found to be useful in detecting the yield stability of the genotypes studied.

AMMI (additive main effect and multiplicative interaction) model for assessment of yield stability of spring barley genotypes

2016 ◽  
Vol 0 (110) ◽  
pp. 131-141
Author(s):  
M. P. Solonechnyi ◽  
M. R. Kozachenko ◽  
N. I. Vasko ◽  
O. G. Naumov ◽  
O. V. Solonechna ◽  
...  
Keyword(s):  
Spring Barley ◽  
Interaction Model ◽  
Yield Stability ◽  
Multiplicative Interaction ◽  
Main Effect ◽  
Barley Genotypes

scholarly journals Provenance by Site Interaction of Pinus densiflora in Korea

2008 ◽  
Vol 57 (1-6) ◽  
pp. 131-139 ◽  
Author(s):  
In-Sik Kim ◽  
Hae-Yun Kwon ◽  
Keun-Ok Ryu ◽  
Wan Yong Choi
Keyword(s):  
Regression Model ◽  
Pinus Densiflora ◽  
Interaction Model ◽  
Height Growth ◽  
Seed Transfer ◽  
Gxe Interaction ◽  
Main Effect ◽  
Ammi Model ◽  
Interaction Term ◽  
Component Scores

Abstract Thirty-six provenances of Pinus densiflora were evaluated for stability and adaptability for height growth at 11 test sites in Korea. The data were obtained from measurements at age 6 and analyzed using linear regression model and AMMI (additive main effect and multiplicative interaction) model. There was significant provenance by site interaction effect (p < 0.011). The interaction term explained 7.1% of total variation. While the regression model accounted for 15.8% of GxE interaction term, the AMMI model accounted for 74.9% with four PCA values. Most of the provenances were not significantly different from the unity (b =1.0), except for Inje (1), Jungsun (4), Bongwha (5), Koryung (26), Hamyang (30) and Seoguipo (36). Adaptability of provenances to the test sites was estimated with mean height growth and first AMMI component scores (IPCA 1). Inje (1), Bongwha (5), Taean (20) and Seoguipo (36) were specifically adapted to the high yielding environments. Considering the first and second AMMI components (IPCA 1 and IPCA 2, respectively) scores, Whachun (2), Samchuk (10), Joongwon (14) and Buan (29) provenances were more stable than others. The implication of GxE interaction was discussed in view of seed transfer and delineation of seed zones.

scholarly journals Additive main effect and multiplicative interaction model for a diallel-cross analysis

2001 ◽  
Vol 102 (6-7) ◽  
pp. 1103-1106 ◽  
Author(s):  
R. Ortiz ◽  
S. Madsen ◽  
W. W. Wagoire ◽  
J. Hill ◽  
S. Chandra ◽  
...  
Keyword(s):  
Interaction Model ◽  
Diallel Cross ◽  
Multiplicative Interaction ◽  
Main Effect

scholarly journals Genotype × Environment Interaction Studies of Promising Teppi Coffee (Coffea arabica L.) Genotypes in Southwestern Ethiopia

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Wakuma Merga ◽  
Wosene Gebreselassie ◽  
Weyessa Garedew
Keyword(s):  
Block Design ◽  
Geographic Distance ◽  
Interaction Model ◽  
Superior Performance ◽  
Environment Interaction ◽  
Analysis Model ◽  
Arabica Coffee ◽  
Southwestern Ethiopia ◽  
Genotype Environment Interaction ◽  
Main Effect

Coffee is the stimulant crop plant that belongs to the genus Coffea, in the family Rubiaceae. The yield variation and pattern of the crop varied within short geographic distance and thus attributed to low productivity and unpredictable production. The objective of this study was to determine the extent of genotype × environment interaction on yields of promising Teppi coffee genotype. In this study, seventeen Arabica coffee genotypes, representing coffee growing areas of Teppi, southwestern Ethiopia were evaluated at six environments. This study was conducted by using completely randomized block design with two replications. The extent of genotype × environment interaction was analyzed by using additive main effect and multiplicative interaction model and genotype main effect and genotype × environment interaction biplot analysis model. The analysis of variance for yield revealed the presence of highly significant differences ( P < 0.01 ) within genotypes, environments and genotype by environment interaction. From the total sum of squares of genotype × environment interaction of yield, environment accounted for 51% while genotypic and GEI effects were 20.5% and 25.32%, respectively. Generally, genotypes with superior performance and suitable environments for coffee were identified. However, further researches have to target hybridization of those superior genotypes with elite lines in feature Arabica coffee breeding program.

An adrenocortical oncocytoma with unusual mitochondrial inclusions and cytoplasmic crystals

1994 ◽  
Vol 52 ◽  
pp. 250-251
Author(s):  
W.T. Gunning ◽  
G.D. Haselhuhn ◽  
E.R. Phillips ◽  
S.H. Selman
Keyword(s):  
Adrenal Gland ◽  
Salivary Glands ◽  
Mitotic Activity ◽  
Diagnostic Criteria ◽  
Vascular Invasion ◽  
Benign Neoplasm ◽  
Benign Tumors ◽  
Nuclear Morphology ◽  
Case Presentation ◽  
Microscopic Evidence

Within the last few years, adrenal cortical tumors with features concordant with the diagnostic criteria attributed to oncocytomas have been reported. To date, only nine reported cases exist in the literature. This report is the tenth case presentation of a presumptively benign neoplasm of the adrenal gland with a rare differentiation. Oncocytomas are well recognized benign tumors of the thyroid, parathyroid, and salivary glands and of the kidney. Other organs also give rise to these types of tumors, however with less frequency than the former sites. The characteristics generally used to classify a tumor as an oncocytoma include the following criteria: the tumor is 1) usually a solitary circumscribed mass with no gross nor microscopic evidence of metastasis (no tissue nor vascular invasion), 2) fairly bland in terms of mitotic activity and nuclear morphology, and 3) composed of large eosinophillic cells in which the cytoplasm is packed full of mitochondria (Figure 1).

An Introductory Examination of Speech Disfluencies in Spanish–English Bilingual Children Who Do and Do Not Stutter During Narratives

2020 ◽  
Vol 5 (1) ◽  
pp. 131-141
Author(s):  
Cristina Rincon ◽  
Kia Noelle Johnson ◽  
Courtney Byrd
Keyword(s):  
Diagnostic Criteria ◽  
Preliminary Data ◽  
Diagnostic Information ◽  
English Speakers ◽  
Bilingual Children ◽  
English Bilingual ◽  
Developmental Stuttering ◽  
Mean Length Of Utterance

Purpose The purpose of this study is to examine the frequency and type of speech disfluencies (stuttering-like and nonstuttering-like) in bilingual Spanish–English (SE) children who stutter (CWS) to SE children who do not stutter (CWNS) during narrative samples elicited in Spanish and English to provide further diagnostic information for this population and preliminary data toward an expansion of this study. Method Participants included six bilingual SE children (three CWS, three CWNS) ranging in age from 5 years to 7;5 (years;months) and recruited from the surrounding Houston, Texas area. Participants provided a narrative sample in English and Spanish. The frequency of speech disfluencies was tabulated, and mean length of utterance was measured for each sample. Results Results indicate that both talker groups exceed the diagnostic criteria typically used for developmental stuttering. Regardless of the language being spoken, CWS participants had a frequency of stuttering-like speech disfluencies that met or exceeded the diagnostic criteria for developmental stuttering that is based on monolingual English speakers. The CWNS participants varied in meeting the criteria depending on the language being spoken, with one of the three CWNS exceeding the criteria in both languages and one exceeding the criteria for percentage of stuttering-like speech disfluencies in one language. Conclusion Findings from this study contribute to the development of more appropriate diagnostic criteria for bilingual SE-speaking children to aid in the reduction of misdiagnoses of stuttering in this population.

Quantifying the Effects of Background Speech Babble on Preschool Children's Novel Word Learning in a Multisession Paradigm: A Preliminary Study

2020 ◽  
Vol 63 (1) ◽  
pp. 345-356
Author(s):  
Meital Avivi-Reich ◽  
Megan Y. Roberts ◽  
Tina M. Grieco-Calub
Keyword(s):  
Word Learning ◽  
Signal To Noise Ratio ◽  
Preschool Age ◽  
Exposure Condition ◽  
Signal To Noise ◽  
Verbal Recall ◽  
Referent Selection ◽  
Main Effect ◽  
Noise Ratio ◽  
Novel Word Learning

Purpose This study tested the effects of background speech babble on novel word learning in preschool children with a multisession paradigm. Method Eight 3-year-old children were exposed to a total of 8 novel word–object pairs across 2 story books presented digitally. Each story contained 4 novel consonant–vowel–consonant nonwords. Children were exposed to both stories, one in quiet and one in the presence of 4-talker babble presented at 0-dB signal-to-noise ratio. After each story, children's learning was tested with a referent selection task and a verbal recall (naming) task. Children were exposed to and tested on the novel word–object pairs on 5 separate days within a 2-week span. Results A significant main effect of session was found for both referent selection and verbal recall. There was also a significant main effect of exposure condition on referent selection performance, with more referents correctly selected for word–object pairs that were presented in quiet compared to pairs presented in speech babble. Finally, children's verbal recall of novel words was statistically better than baseline performance (i.e., 0%) on Sessions 3–5 for words exposed in quiet, but only on Session 5 for words exposed in speech babble. Conclusions These findings suggest that background speech babble at 0-dB signal-to-noise ratio disrupts novel word learning in preschool-age children. As a result, children may need more time and more exposures of a novel word before they can recognize or verbally recall it.

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