Results 61 to 70 of about 302,424 (178)

Interaksi Genotipe X Lingkungan Untuk Hasil Gabah Padi Sawah [PDF]

, 2016
Grain yield of rice is determined by genotype (G), environment (E), and interaction between genotype x environment (G x E). Variety can achieve its maximum yield potential if it is grown in suitable environments.
Abdullah, B. (Buang), Aswidinnoor, H. (H), Daradjat, A. A. (Aan), Gunarsih, C. (Cucu), Hanarida, I. (Ida), Muliarta, I. G. (I), Nafisah, N. (Nafisah), Nugraha, Y. (Yudhistira), Sitaresmi, T. (Trias), Suprihatno, B. (B)   +9 more
core  

Genotype by environment interactions for growth in Red Angus [PDF]

Journal of Animal Science, 2017
Accuracy of sire selection is limited by how well animals are characterized for their environment. The objective of this study was to evaluate the presence of genotype × environment interactions (G×E) for birth weight (BiW) and weaning weight (WW) for Red Angus in the United States. Adjusted weights were provided by the Red Angus Association of America.
Fennewald, D. J., Weaber, Robert L., Lamberson, W. R.   +2 more
openaire   +3 more sources

Phenotypic robustness can increase phenotypic variability after non-genetic perturbations in gene regulatory circuits [PDF]

, 2010
Non-genetic perturbations, such as environmental change or developmental noise, can induce novel phenotypes. If an induced phenotype confers a fitness advantage, selection may promote its genetic stabilization. Non-genetic perturbations can thus initiate
Ancel, Aubret, Azevedo, Bergman, Ciliberti, Ciliberti, Cooper, Davidson, de Jong, de Visser, Draghi, Draghi, Eldar, Elowitz, Espinosa-Soto, Espinosa-Soto, Ferrada, Fraser, Gibson, Gilbert, Gomez-Mestre, Griswold, Hall, Hermisson, Kim, Kimbrell, Kondrashov, Lande, Ledon-Rettig, Lehner, Levy, Lipman, Martin, Martin, Masel, Masel, Masel, McAdams, Meiklejohn, Moczek, Newman, Orr, Palmer, Palmer, Pigliucci, Pigliucci, Price, Proulx, Prud'homme, Raj, Rice, Roberts, Rodrigues, Rutherford, Schmalhausen, Schultes, Schuster, Shubin, Siegal, Snell-Rood, Sollars, Suzuki, Tirosh, van Nimwegen, Waddington, Waddington, Wagner, Wagner, Wagner, Wagner, Wagner, West-Eberhard, West-Eberhard, Wray   +73 more
core   +3 more sources

Genome-wide association and genotype by environment interactions for growth traits in U.S. Gelbvieh cattle

BMC Genomics, 2019
Background Single nucleotide polymorphism (SNP) arrays have facilitated discovery of genetic markers associated with complex traits in domestic cattle; thereby enabling modern breeding and selection programs.
Johanna L. Smith, Miranda L. Wilson, Sara M. Nilson, Troy N. Rowan, David L. Oldeschulte, Robert D. Schnabel, Jared E. Decker, Christopher M. Seabury   +7 more
doaj   +1 more source

Analysis of trait stability of soybean cultivated under various environmental conditions [PDF]

Journal of Water and Land Development
Soybean ( Glycine max (L.) Merrill.) yielding potential depends on environmental conditions (precipitation, temperature, soil). The aim of the work was to evaluate stability of yielding (and other traits) of three soybean cultivars (Abelina, SG Anser ...
Katarzyna Rymuza, Elżbieta Radzka
doaj   +1 more source

Genotype by environment interaction for gene expression in Drosophila melanogaster

Nature Communications, 2020
Huang et al. show that developing under different temperatures changes the genetic architecture of regulatory variation in Drosophila melanogaster gene expression yet the co-expression network remains robust.
Wen Huang, Mary Anna Carbone, Richard F. Lyman, Robert R. H. Anholt, Trudy F. C. Mackay   +4 more
doaj   +1 more source

The impact of imprecisely measured covariates on estimating gene-environment interactions [PDF]

, 2006
BACKGROUND The effects of measurement error in epidemiological exposures and confounders on estimated effects of exposure are well described, but the effects on estimates for gene-environment interactions has received rather less attention.
Cade, J.E., Gilthorpe, M.S., Greenwood, D.C.   +2 more
core   +2 more sources

Bayesian semiparametric analysis for two-phase studies of gene-environment interaction [PDF]

, 2013
The two-phase sampling design is a cost-efficient way of collecting expensive covariate information on a judiciously selected subsample. It is natural to apply such a strategy for collecting genetic data in a subsample enriched for exposure to ...
Ahn, Jaeil, Ghosh, Malay, Gruber, Stephen B., Mukherjee, Bhramar   +3 more
core   +1 more source

Genotype x environment interaction in cowpea by mixed models

Revista Ciência Agronômica
Several methods have been proposed to measure effects of genotype × environment interaction (G×E) on various traits of interest of plant species, such as grain yield.
Leonardo Castelo Branco Carvalho, Kaesel Jackson Damasceno-Silva, Maurisrael de Moura Rocha, Giancarlo Conde Xavier Oliveira   +3 more
doaj   +1 more source

The interaction between monoamine oxidase A and punitive discipline in the development of antisocial behavior: Mediation by maladaptive social information processing. [PDF]

, 2016
Previous studies demonstrate that boys' monoamine oxidase A (MAOA) genotype interacts with adverse rearing environments in early childhood, including punitive discipline, to predict later antisocial behavior. Yet the mechanisms by which MAOA and punitive
Choe, Daniel Ewon, Forbes, Erika E, Galán, Chardée A, Shaw, Daniel S   +3 more
core   +1 more source