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Modelado, arquitectura y comunicación en el desarrollo de sistemas de software: un enfoque práctico

PEDRO PABLO GONZALEZ PEREZ (2023, [Libro])

La intención de este material es compartir con el lector el papel e

importancia del modelado, la arquitectura y la comunicación en el proceso

de desarrollo de software desde una perspectiva de investigación y

desarrollo. Con este fin navegaremos sobre la columna vertebral de lo que, a

nuestro parecer, es lo mínimo imprescindible a considerar para desarrollar

software exitoso en el contexto actual. De forma específica, nos referimos al

papel del modelado, la arquitectura y la comunicación como elementos clave

que, amalgamados en un modelo de ciclo de vida de desarrollo de software

(CVDS), son precursores de software de calidad.

A lo largo de cada uno de los epígrafes de este material, se hace énfasis en

las estrategias, modelos, artefactos y herramientas comúnmente utilizados

para comunicar de forma efectiva a los diferentes actores el significado e

intención de las decisiones —arquitectónicas, de componentes, funcionales y

de restricciones— que se toman durante el CVDS. Es importante notar que,

aunque los temas aquí abordados no se desarrollan de forma exhaustiva, sí

establecen un punto de referencia que pretendemos que pueda usarse como

guía tanto por principiantes como por profesionales cuando emprendan

proyectos de desarrollo de software.

INGENIERÍA Y TECNOLOGÍA Arquitectura de software Software de aplicación - Desarrollo

On-farm assessment of yield and quality traits in durum wheat

Facundo Tabbita Iván Ortíz-Monasterios Francisco Javier Pinera-Chavez Maria Itria Ibba Carlos Guzman (2023, [Artículo])

BACKGROUND: Durum wheat is key source of calories and nutrients for many regions of the world. Demand for it is predicted to increase. Further efforts are therefore needed to develop new cultivars adapted to different future scenarios. Developing a novel cultivar takes, on average, 10 years and advanced lines are tested during the process, in general, under standardized conditions. Although evaluating candidate genotypes for commercial release under different on-farm conditions is a strategy that is strongly recommended, its application for durum wheat and particularly for quality traits has been limited. This study evaluated the grain yield and quality performance of eight different genotypes across five contrasting farmers’ fields over two seasons. Combining different analysis strategies, the most outstanding and stable genotypes were identified. RESULTS: The analyses revealed that some traits were mainly explained by the genotype effect (thousand kernel weight, flour sodium dodecyl sulfate sedimentation volume, and flour yellowness), others by the management practices (yield and grain protein content), and others (test weight) by the year effect. In general, yield showed the highest range of variation across genotypes, management practices, and years and test weight the narrowest range. Flour yellowness was the most stable trait across management conditions, while yield-related traits were the most unstable. We also determined the most representative and discriminative field conditions, which is a beneficial strategy when breeders are constrained in their ability to develop multi-environment experiments. CONCLUSIONS: We concluded that assessing genotypes in different farming systems is a valid and complementary strategy for on-station trials for determining the performance of future commercial cultivars in heterogeneous environments to improve the breeding process and resources.

Wheat Quality GGE Analysis Flour Yellowness CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA FLOURS WHEAT QUALITY YIELDS FIELD EXPERIMENTATION