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Partial least squares enhance multi-trait genomic prediction of potato cultivars in new environments
Rodomiro Ortiz Paulino Pérez-Rodríguez Osval Antonio Montesinos-Lopez Jose Crossa (2023, [Artículo])
Potato Traits Cross-Validation Breeding Data CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA LEAST SQUARES METHOD POTATOES ENVIRONMENT PLANT BREEDING
Sandesh Thapa Darbin Joshi (2022, [Artículo])
Heat Resilient Maize Phenotypic Coefficient of Variation Heritable Traits CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENETIC PARAMETERS MAIZE HYBRIDS
Hussein Shimelis Chris Ojiewo Abhishek Rathore (2023, [Artículo])
Agronomic Traits CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENOME-WIDE ASSOCIATION STUDIES STRIGA HERMONTHICA PEARL MILLET
Remote sensing of quality traits in cereal and arable production systems: A review
Zhenhai Li xiuliang jin Gerald Blasch James Taylor (2024, [Artículo])
Cereal is an essential source of calories and protein for the global population. Accurately predicting cereal quality before harvest is highly desirable in order to optimise management for farmers, grading harvest and categorised storage for enterprises, future trading prices, and policy planning. The use of remote sensing data with extensive spatial coverage demonstrates some potential in predicting crop quality traits. Many studies have also proposed models and methods for predicting such traits based on multi-platform remote sensing data. In this paper, the key quality traits that are of interest to producers and consumers are introduced. The literature related to grain quality prediction was analyzed in detail, and a review was conducted on remote sensing platforms, commonly used methods, potential gaps, and future trends in crop quality prediction. This review recommends new research directions that go beyond the traditional methods and discusses grain quality retrieval and the associated challenges from the perspective of remote sensing data.
Quality Traits Grain Protein CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA REMOTE SENSING QUALITY GRAIN PROTEINS CEREALS PRODUCTION SYSTEMS
Melaku Gedil Ana Luisa Garcia-Oliveira Nnanna Unachukwu Cesar Petroli Sarah Hearne Abebe Menkir (2023, [Artículo])
Genetic Relationships Desirable Traits CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENETIC STRUCTURES INBRED LINES MAIZE BREEDING PROGRAMMES
Stability of FeVO4-II under Pressure: A First-Principles Study
PRICILA BETBIRAI ROMERO VAZQUEZ SINHUE LOPEZ MORENO Daniel Errandonea (2022, [Artículo])
"In this work, we report first-principles calculations to study FeVO4 in the CrVO4-type (phase II) structure under pressure. Total-energy calculations were performed in order to analyze the structural parameters, the electronic, elastic, mechanical, and vibrational properties of FeVO4-II up to 9.6 GPa for the first time. We found a good agreement in the structural parameters with the experimental results available in the literature. The electronic structure analysis was complemented with results obtained from the Laplacian of the charge density at the bond critical points within the Quantum Theory of Atoms in Molecules methodology. Our findings from the elastic, mechanic, and vibrational properties were correlated to determine the elastic and dynamic stability of FeVO4-II under pressure. Calculations suggest that beyond the maximum pressure covered by our study, this phase could undergo a phase transition to a wolframite-type structure, such as in CrVO4 and InVO4."
FeVO4 under pressure CrVO4-type structure First-principles Mechanical properties Vibrational properties Electronic properties CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA FÍSICA FÍSICA DEL ESTADO SÓLIDO CRISTALOGRAFÍA CRISTALOGRAFÍA
Gopalareddy Krishnappa Govindan Velu (2023, [Artículo])
DArT-Seq Gene Mapping Yield Component Traits CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT QUANTITATIVE TRAIT LOCI CANDIDATE GENES QUANTITATIVE TRAIT LOCI MAPPING YIELD COMPONENTS BIOFORTIFICATION
CAIXIA LAN Ravi Singh (2023, [Artículo])
QTL mapping Kernel-Related Traits Putative Candidate Gene KASP Markers CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA KERNELS QUANTITATIVE TRAIT LOCI MAPPING TRITICUM AESTIVUM SINGLE NUCLEOTIDE POLYMORPHISM
Melaku Gedil Ana Luisa Garcia-Oliveira Nnanna Unachukwu Cesar Petroli Sarah Hearne Abebe Menkir (2023, [Artículo])
Genetic Relationship Desirable Target Traits Parental Selection CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENETIC STRUCTURES INBRED LINES MAIZE BREEDING PROGRAMMES
Conocimientos y prácticas en enfermería para el cuidado de pacientes con diabetes mellitus tipo 2
ELIZABETH ESCALADA SOLÓRZANO (2022, [Otro, Trabajo terminal, especialidad])
La diabetes tipo 2 es un problema de Salud Pública por la magnitud de sus
complicaciones que conlleva una carga para la sociedad, para los familiares y para la
misma persona; puede haber afectaciones por las dificultades en el tratamiento y el
control constante con el fin de prevenir el avance de la enfermedad. Objetivo: Identificar
los conocimientos de enfermería en el manejo de personas con DM-2 que redundara en
el cuidado puedan llevar un mejor tratamiento, para prevenir complicaciones ocasionadas
por la falta adherencia al tratamiento, cuidados y estilos de vida.
Type 2 diabetes is a Public Health problem due to the magnitude of its
complications that entail a burden for society, for family members and for the person
themselves; there may be effects due to difficulties in constant treatment and control in
order to prevent the progression of the disease. Objective: Identify nursing knowledge in
the management of people with DM-2 that will result in better treatment, to prevent
complications caused by lack of adherence to treatment, care and lifestyles.
MEDICINA Y CIENCIAS DE LA SALUD CIENCIAS MÉDICAS paciente, Diabetes Mellitus tipo 2, cuidado de enfermería. Patient, Diabetes Mellitus type 2, nursing care.