Results 61 to 70 of about 1,829,546 (357)

A Method for Identifying Environmental Stimuli and Genes Responsible for Genotype-by-Environment Interactions From a Large-Scale Multi-Environment Data Set

open access: yesFrontiers in Genetics, 2021
It has not been fully understood in real fields what environment stimuli cause the genotype-by-environment (G × E) interactions, when they occur, and what genes react to them.
Akio Onogi   +7 more
doaj   +1 more source

Quantitative inheritance of leaf shape characters in tobacco (Nicotiana tabacum L.) : a thesis presented in partial fulfilment of the requirements for the degree of Master of Agricultural Science in Plant Science at Massey University, Palmerston North, New Zealand [PDF]

open access: yes, 1982
An F₁ half diallel cross experiment with 8 parents (i.e. ½ p (p = 1) combinations) was used to study the quantitative inheritance of leaf shape characters in tobacco (Nicotiana tabacum L.).
Yaacob, Musa bin
core  

Genetic algorithm dynamics on a rugged landscape

open access: yes, 1999
The genetic algorithm is an optimization procedure motivated by biological evolution and is successfully applied to optimization problems in different areas.
A. E. Nix   +19 more
core   +1 more source

Protonophore activity of short‐chain fatty acids induces their intracellular accumulation and acidification

open access: yesFEBS Letters, EarlyView.
The protonated form of butyrate, as well as other short‐chain fatty acids (SCFAs), is membrane permeable. In acidic extracellular environments, this can lead to intracellular accumulation of SCFAs and cytosolic acidification. This phenomenon will be particularly relevant in acidic environments such as the large intestine or tumor microenvironments ...
Muwei Jiang   +2 more
wiley   +1 more source

Genetic parameters for milk yield, lactation length and calving intervals of Murrah buffaloes from Brazil

open access: yesRevista Brasileira de Zootecnia, 2013
The major objective of this study was to estimate heritability and genetic correlations between milk yield (MY) and calving interval (CI) and lactation length (LL) in Murrah buffaloes using Bayesian inference.
Carlos Henrique Mendes Malhado   +5 more
doaj   +1 more source

Family history in the Aetiology of Gestational Diabetes Mellitus and Type 2 Diabetes [PDF]

open access: yes, 2003
The aetiology of Type 2 diabetes [NIDDM] is assumed to involve a multiplicity of causal factors involving both genetic and environmental, including intrauterine, components. Aim: To identify the relationship of various aspects of family history and hence
Chircop, Marcelle   +2 more
core  

Heritability of testosterone levels in 12-year-old twins and its relation to pubertal development [PDF]

open access: yes, 2005
The aim of this study was to estimate the heritability of variation in testosterone levels in 12-year-old children, and to explore the overlap in genetic and environmental influences on circulating testosterone levels and androgen dependent pubertal ...
Archer J.   +8 more
core   +5 more sources

A stepwise emergence of evolution in the RNA world

open access: yesFEBS Letters, EarlyView.
How did biological evolution emerge from chemical reactions? This perspective proposes a gradual scenario of self‐organization among RNA molecules, where catalytic feedback on random mixtures plays the central role. Short oligomers cross‐ligate, and self‐assembly enables heritable variations. An event of template‐externalization marks the transition to
Philippe Nghe
wiley   +1 more source

Genetic correlation between traits in the ESALQ-PB1 maize population divergently selected for tassel size and ear height Correlação genética entre caracteres na população de milho ESALQ-PB1 após seleção divergente para tamanho do pendão e altura da espiga

open access: yesScientia Agricola, 2001
Full-sib and selfed (S1) progenies were obtained from sub-populations of ESALQ-PB1, divergently selected for tassel size (T+ and T-) and ear height (E+ and E-), and used for estimating genetic and phenotypic correlation coefficients between traits.
Austeclínio Lopes Farias Neto   +1 more
doaj   +1 more source

A new genetic algorithm for multi-label correlation-based feature selection. [PDF]

open access: yes, 2015
This paper proposes a new Genetic Algorithm for Multi-Label Correlation-Based Feature Selection (GA-ML-CFS). This GA performs a global search in the space of candidate feature subset, in order to select a high-quality feature subset is used by a multi ...
Freitas, Alex A., Jungjit, Suwimol
core  

Home - About - Disclaimer - Privacy