6 research outputs found
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Dairy farming in the era of artificial intelligence: Trend or a real game changer?
Artificial Intelligence (AI) is reshaping the world as we know it, impacting all aspects of modern society, basically due to the advances in computer power, data availability, and AI algorithms. The dairy sector is also on the move, from the exponential growth in AI research, to ready to use AI-based products, this new evolution to Dairy 4.0 represents a potential “game-changer” for the dairy sector, to afront challenges regarding sustainability, welfare, and profitability. To explore this possibility this research reflection, discusses the main drivers in the field of AI, from the origins, challenges, and opportunities. Further, we present a multidimensional vision considering factors that are not commonly considered in dairy research, such as geopolitical aspects and legal regulations that can have an impact on the application of AI in the dairy sector. This is just the beginning of the third tide of AI, and a future is still ahead. For now, the current advances in AI at on-farm level seem limited and based on the revised data, we believe that AI can be a “game-changer” only if AI is integrated with other components of Dairy 4.0 such as robotics and is fully adopted by dairy farmers
Avaliação de genótipos de aveia branca sob estresse de ácidos orgânicos Responses of white oat genotypes to stresses of organic acids
A ocorrência de condições anaeróbias nos solos hidromórficos, associada com a presença de matéria orgânica favorece o desenvolvimento de microrganismos anaeróbios que produzem substâncias fitotóxicas, principalmente ácidos orgânicos de cadeia curta. O objetivo do trabalho foi avaliar a resposta de 20 genótipos de aveia (Avena sativa L.) aos ácidos acético, propiônico e butírico. O trabalho foi executado em sistema de hidroponia com três doses (0; 3 e 6 mM) da mistura dos três ácidos na relação 6:3:1 respectivamente. O delineamento utilizado foi em blocos casualizados com três repetições em esquema fatorial. As variáveis mensuradas foram: comprimento de raízes (CR) e parte aérea (CPA), número de raízes (NR) e matéria seca de raízes (MSR) e parte aérea (MSPA). Foram procedidas análise de variância e ajustes de regressão. Os efeitos de interação entre doses x genótipos para as variáveis CR e MSR revelaram significância e as regressões estabelecidas para estas variáveis, revelaram dois genótipos com estabilidade de crescimento radicular (OR-3 e FAPA-5) e três com estabilidade de acúmulo de matéria seca (OR-3, UFRGS-17 e UPF-15) frente ao estresse por ácidos orgânicos. A caracterização destes genótipos à ação fitotóxica dos ácidos orgânicos é importante fonte de recursos aos programas de melhoramento genético que visem obter genótipos com elevada capacidade produtiva, em solos de várzea do Sul do Brasil sob plantio direto ou cultivo mínimo.<br>The association of anaerobic conditions with high organic matter content in hydromorphic soils favors the development of anaerobic microorganisms that produce phytotoxic substances, especially short chain organic acids. The objective of this investigation was to evaluate the response of 20 oat (Avena sativa L.) genotypes to the exposure of acetic, propionic and butyric acids in hydroponic system. Three doses (0; 3 and 6 mM) of a mixture of the three acids at a 6:3:1 ratio, respectively were tested. The experimental design was randomized blocks with three replications on a factorial scheme. Measured variables were root (CR) shoot (CPA) length, root number (NR), root (MSR) and shoot (MSPA) dry matter. Variance analyses and regression fitness were performed. The effects of the interaction between doses and genotypes were significant for the variables CR and MSR. The regression curves indicated two genotypes (OR-3 e FAPA-5) with stable root growth and three (OR-3, UFRGS-17 e UPF-15) with stable dry matter accumulation under organic acid stresses. The characterization of these genotypes regarding organic acid phytotoxic action is an important resource for breeding programs aiming at to develop high yielding cultivars for no-tillage or minimal tillage systems in hydromorphic soils of southern Brazil