Results 61 to 70 of about 131,008 (302)
Assessment of Stability and Adaptability of Wheat–Wheatgrass Hybrids Using AMMI Models
Against the backdrop of growing climatic variability, the identification of genotypes combining high yield with stability and resilience to stress factors has become a central objective of contemporary wheat breeding.
Olga Shchuklina +4 more
doaj +1 more source
GENOTYPE-ENVIRONMENT INTERACTION AND THE EVOLUTION OF PHENOTYPIC PLASTICITY [PDF]
Studies of spatial variation in the environment have primarily focused on how genetic variation can be maintained. Many one-locus genetic models have addressed this issue, but, for several reasons, these models are not directly applicable to quantitative (polygenic) traits.
Sara, Via, Russell, Lande
openaire +2 more sources
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Adaptation of One-Flowered Vetch (Vicia articulata Hornem.) to Mediterranean Rain Fed Conditions
One-flower vetch (Vicia articulata) was widely cultivated in the Mediterranean Basin in the past but is currently underutilized. Valuable germplasm collections are stored in genebanks, which are poorly characterized.
Diego Rubiales, Fernando Flores
doaj +1 more source
Genotype‐by‐Environment Interactions of Barley in the Mediterranean Region [PDF]
In the Mediterranean region, progress in selection for yield in harsh environments is hampered by large environmental variation between seasons and locations. This study analyzes the genotype‐by‐environment (GE) interaction of 36 two‐rowed genotypes of barley (Hordeum vulgare L.), grown in 14 environments in Syria and North Africa.
van Oosterom, E. +3 more
openaire +4 more sources
Despite QTL mapping being a routine procedure in plant breeding, approaches that fully exploit data from multi-trait multi-environment (MTME) trials are limited.
Crossa, J. +4 more
core +1 more source
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
Background The performance of oat genotypes differs across environments due to variations in biotic and abiotic factors. Thus, evaluation of oat genotypes across diverse environments is very important to identify superior and stable genotypes for yield ...
Gezahagn Kebede +3 more
doaj +1 more source
Genes exhibiting significant (FDR-adjusted P-value |2|) activity genotype-by-environment interaction.
Bruce R. Southey (19329) +6 more
core +1 more source
A resampling test for principal component analysis of genotype-by-environment interaction [PDF]
In crop science, genotype-by-environment interaction is oftenexplored using the "genotype main effects and genotype-by-environmentinteraction effects" (GGE) model.
Forkman, Johannes
core +1 more source

