Results 51 to 60 of about 306,672 (158)

AMMI & GGE BIPLOT: uma análise comparativa da avaliação de locais de teste de genótipos de arroz. [PDF]

, 2014
Ensaios de Valor de Cultivo e Uso (VCU) são de grande importância no melhoramento de plantas. A análise desses experimentos é comumente realizada utilizando-se diversas ferramentas estatísticas.
BRANQUINHO, R. G., CASTRO, A. P. de, COLOMBARI FILHO, J. M., DUARTE, J. B., GUIMARÃES, P. H. R., HEINEMANN, A. B., MELO, P. G. S., MORAIS JÚNIOR, O. P. de   +7 more
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Parametric Bootstrap Methods for Testing Multiplicative Terms in GGE and AMMI Models [PDF]

, 2014
The genotype main effects and genotype-by-environment interaction effects (GGE) model and the additive main effects and multiplicative interaction (AMMI) model are two common models for analysis of genotype-by-environment data.
Bradley, Cornelius, Cornelius, Cornelius, Denis, Dias, Dias, Eastment, Efron, Finlay, Gauch, Gauch, Gauch, Gauch, Gollob, Johnson, Liu, Mandel, Mandel, Marasinghe, Muirhead, Ng, Piepho, Piepho, Piepho, Piepho, Schott, Searle, Smith, Tsujitani, Tukey, van Eeuwijk, van Eeuwijk, Wold, Yan, Yan, Yan, Yan, Yang, Yates, Yochmowitz   +40 more
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Genotype and environment interaction on yield and quality parameters of organically grown winter wheat – Triticum aestivum L. genotypes [PDF]

, 2005
The interaction of genotype and environment upon yield and quality parameters of eight winter wheat (Triticum aestivum L.) genotypes was studied under organic conditions in Austria over two growing periods, 2001/2002 and 2002/2003, respectively.
Dashbaljir, Ichinkhorloo, Hartl, W., Liebhard, P., Loeschenberger, F., Weinhappel, M.   +4 more
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Analysis of Genotype × Environment Interaction for Grain Yield in Chenopodium spp.

Czech Journal of Genetics and Plant Breeding, 2005
Twenty-seven germplasm lines of Chenopodium spp. were grown in four environments and evaluated for genotype × environment interactions and comparisons between 4 stability parameters viz.
A Bhargava, S Shukla, D Ohri
doaj   +1 more source

Predicting spring barley yield from variety-specific yield potential, disease resistance and straw length, and from environment-specific disease loads and weed pressure [PDF]

, 2008
For low-input crop production, well-characterised varieties increase the possibilities of managing diseases and weeds. This analysis aims at developing a framework for analyzing grain yield using external varietal information about disease resistance ...
Hansen, P.K., Hovmøller, M.S., Kristensen, K., Pinnschmidt, H.O., Østergård, H.   +4 more
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Selection of a suitable definition of environment for the estimation of genotype × environment interaction in the weaning weight of beef cattle

Czech Journal of Animal Science, 2008
Genotype by environment interactions for weaning weight in beef cattle were tested using several definitions of environments. Four breeds of beef cattle (Hereford, Aberdeen Angus, Beef Simmental, and Charolais) were represented.
L. Vostrý, J. Přibyl, V. Jakubec, Z. Veselá, I. Majzlík   +4 more
doaj   +1 more source

Interaksi Genotipe X Lingkungan Hasil dan Komponen Hasil 14 Genotipe Tomat di Empat Lingkungan Dataran Rendah [PDF]

, 2015
Genotype x environment interaction (GxE) information is needed by plant breeders to assist the identification of superior genotype. Stability analysis can be done if there is a GxE interaction, to show the stability of a genotype when planted in ...
Dewi, S. M. (Suprayanti), Sobir, S. (Sobir), Syukur, M. (Muhamad)   +2 more
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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
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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
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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