Results 81 to 90 of about 16,999 (222)

Mouse models of gene–environment interactions in schizophrenia

open access: yesNeurobiology of Disease, 2013
Gene–environment interactions (GEIs) likely play significant roles in the pathogenesis of schizophrenia and underlie differences in pathological, behavioral, and clinical presentations of the disease.
Geetha Kannan   +2 more
doaj   +1 more source

Genetic variability, association, and path coefficient analysis for yield and yield‐related traits of quality protein maize genotypes

open access: yesAgrosystems, Geosciences &Environment, Volume 9, Issue 1, March 2026.
Abstract Maize (Zea mays L.) is among the most importantcereal crops worldwide, serving as a major source of food, feed, and industrial raw material. Estimation of genetic parameters, trait associations, and the direct and indirect contributions of agronomic traits to grain yield is fundamental for effective quality protein maize improvement.
Diriba Beyene   +4 more
wiley   +1 more source

Yield performance and stability analysis of three cultivars of Gayo Arabica coffee across six different environments

open access: yesOpen Agriculture
The three cultivars of Gayo Arabica coffee (GAC) are distributed widely in the Gayo Highlands, Aceh Province, Indonesia, between 900 and 1,700 m above sea level (masl).
Wardiana Edi   +12 more
doaj   +1 more source

Genotype by environment interaction and seed yield stability study of Ethiopian sesame (Sesamum indicum L.) genotypes at Western Oromia

open access: yesAgrosystems, Geosciences &Environment, Volume 9, Issue 1, March 2026.
Abstract Sesame (Sesamum indicum L.) is an important oil crop in the world. A significant genotype by environmental interaction (GEI) presents challenges in the selection of superior genotypes. The study was initiated to identify stable and high‐yielding sesame genotypes.
Feyera Takele   +2 more
wiley   +1 more source

Characterization of Greenhouse Gases Emissionsfrom Urban Solid Waste in Baja California: A Proposal to Incorporate TechnicalInput into Decision-Making

open access: yesFrontera Norte, 2015
este estudio detalla la estimación de emisiones de gases de efecto invernadero (Gei) gene-rados por desechos sólidos urbanos en Bajacalifornia usando el métodoPicc1996.losresultados muestran un aumento de 0.604 Gg/año en el período 1990-2010.la ...
Gabriela Muñoz Meléndez   +1 more
doaj  

Gene-environment interactions within a precision environmental health framework

open access: yesCell Genomics
Summary: Understanding the complex interplay of genetic and environmental factors in disease etiology and the role of gene-environment interactions (GEIs) across human development stages is important.
Alison A. Motsinger-Reif   +21 more
doaj   +1 more source

Performance evaluation of early‐maturing sorghum [Sorghum bicolor (L.) Moench] for the moisture‐deficit areas of Amhara region, Ethiopia

open access: yesAgrosystems, Geosciences &Environment, Volume 9, Issue 1, March 2026.
Abstract A development of early‐maturing sorghum varieties is the foremost strategy in moisture‐deficit areas so as to alleviate rain fed–dependent agriculture. An experiment was conducted with the objective of identifying relatively high‐yielding and adaptable sorghum variety for the moisture‐deficit areas of the Amhara region.
Mulugeta Mamo   +10 more
wiley   +1 more source

Consensus recommendations in the management of jaw (gnathic) osteosarcoma

open access: yesCancer, Volume 132, Issue 5, 1 March 2026.
Abstract Gnathic osteosarcoma (OS), which includes mandibular and maxillary jaw OSs, account for 6%–9% of OS. Single‐institutional and multi‐institutional retrospective studies, as well as population‐level databases, suggest that clinical differences exist among gnathic OS and OS of other sides, including other craniofacial OS.
Matthew S. Dietz   +22 more
wiley   +1 more source

Optimizing genomic prediction–based sparse testing designs for multi‐environment trials in tetraploid potato cultivars

open access: yesCrop Science, Volume 66, Issue 2, March/April 2026.
Abstract Genomic prediction (GP)‐based sparse testing allows evaluation of more genotypes within a fixed budget in multi‐environment trials (METs), thereby reducing phenotyping costs. It assesses untested genotype–environment combinations using varying training sets and allocation schemes.
Shatabdi Proma   +3 more
wiley   +1 more source

LA AGROFORESTERIÁ FRENTE AL CAMBIO CLIMÁTICO

open access: yesRevista de la Facultad de Ciencias Agropecuarias, 2019
Desde la revolución industrial y debido a demandas cada vez mayores de energía y de lucro, cada año se incorporan altas concentraciones de gases efecto invernadero (GEI) a la atmósfera, por lo cual se ha podido evidenciar el aumento de la temperatura de ...
Jorge Fernando Navia Estrada
doaj  

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