scholarly journals Cultural Control: A Sustainable Method of Pest and Disease Control

2021 ◽  
pp. 19-26
Author(s):  
Belmiro Saburo Shimada ◽  
Marcos Vinícius Simon ◽  
Letícia do Socorro Cunha
Keyword(s):  
Disease Control ◽  
Sustainable Management ◽  
Production Systems ◽  
Sustainable Production ◽  
Cultural Control ◽  
Production Environment ◽  
Production Potential ◽  
Pests And Diseases ◽  
Preventive Practice ◽  
Breaking Cycles

Agriculture is composed of many factors that alter its production, are of an environmental and management nature, and in terms of management, pests and diseases are of great importance, as they cause a lot of damage to the crop, at different times, and the control of these is essential. pests and diseases to ensure that the plant can reach its production potential. With the concern for a more sustainable production, agriculture has diversified through transformations in the technological and information scopes, which helped to increase the production of production systems. However, only biological and plant-based controls did not guarantee such a large control of pests and diseases, and to complement the control, and to reduce the use of chemicals in agriculture, cultural control was used. This cultural control, together with its sustainable management of pests and diseases, using biological control methods and the base of plant origin, brought new forms of pest and disease control, helping in management, and providing a more sustainable production environment. In addition to these benefits, cultural control is of great importance in the control of pests and diseases, as its control comes as a preventive practice, providing a diversity of the system, and a better control of pests and diseases by breaking cycles, culture, pests and diseases.

scholarly journals Crop Rotation: A Sustainable Practice for the Management of Diseases

2021 ◽  
pp. 20-26
Author(s):  
Belmiro Saburo Shimada ◽  
Marcos Vinícius Simon ◽  
Inglid Laís Batista Cunha de Souza ◽  
Fabiana Tonin
Keyword(s):  
Biological Control ◽  
Disease Management ◽  
Disease Control ◽  
Crop Rotation ◽  
Agricultural Production ◽  
Soil Conservation ◽  
Production Systems ◽  
Economic Loss ◽  
Production Environment ◽  
No Till

The management and environmental impacts influence agricultural production, diseases, in turn, can interfere and cause damage to the crop at different times and parts of the plant, due to economic loss, it is necessary to use disease control methods. To maintain sustainable agricultural production, disease management is necessary. Many methods are adopted in agriculture during its development, and led to the implementation of various production systems, including the no-till system, which helped boost production. However, no-tillage was found to have several soil conservation problems, making it necessary to adopt another practice in this system, which is crop rotation, which emerged as a sustainable means of soil conservation, bringing several benefits. Crop rotation is the planned and orderly alternation of different crops in a given period of time and in the same area, making the development and survival of pests and pathogens that affect crops difficult. Along with sustainable disease management using biological control and methods plant-based, allowed for better disease management in agriculture and provided a more sustainable production environment. Crop rotation is important in disease control because it can be a preventive practice to provide diversity to the system through breakage cycles. The control of these diseases can be done through the biological control of pests and plant extracts.

scholarly journals Precision agriculture and geospatial techniques for sustainable disease control

2021 ◽  
Author(s):  
Daniel P. Roberts ◽  
Nicholas M. Short ◽  
James Sill ◽  
Dilip K. Lakshman ◽  
Xiaojia Hu ◽  
...  
Keyword(s):  
Big Data ◽  
Disease Control ◽  
Crop Production ◽  
Plant Disease ◽  
Production Systems ◽  
Cropping Systems ◽  
Data Driven ◽  
Agricultural Community ◽  
Plant Disease Control ◽  
Crop Germplasm

AbstractThe agricultural community is confronted with dual challenges; increasing production of nutritionally dense food and decreasing the impacts of these crop production systems on the land, water, and climate. Control of plant pathogens will figure prominently in meeting these challenges as plant diseases cause significant yield and economic losses to crops responsible for feeding a large portion of the world population. New approaches and technologies to enhance sustainability of crop production systems and, importantly, plant disease control need to be developed and adopted. By leveraging advanced geoinformatic techniques, advances in computing and sensing infrastructure (e.g., cloud-based, big data-driven applications) will aid in the monitoring and management of pesticides and biologicals, such as cover crops and beneficial microbes, to reduce the impact of plant disease control and cropping systems on the environment. This includes geospatial tools being developed to aid the farmer in managing cropping system and disease management strategies that are more sustainable but increasingly complex. Geoinformatics and cloud-based, big data-driven applications are also being enlisted to speed up crop germplasm improvement; crop germplasm that has enhanced tolerance to pathogens and abiotic stress and is in tune with different cropping systems and environmental conditions is needed. Finally, advanced geoinformatic techniques and advances in computing infrastructure allow a more collaborative framework amongst scientists, policymakers, and the agricultural community to speed the development, transfer, and adoption of these sustainable technologies.

A comparison of two contrasting milk production systems for high genetic merit autumn calving dairy cows in a grassland based production environment

1999 ◽  
Vol 1999 ◽  
pp. 76-76
Author(s):  
C.P. Ferris ◽  
F.J. Gordon ◽  
D.C. Patterson ◽  
C.S. Mayne
Keyword(s):  
Dairy Cows ◽  
Milk Production ◽  
Protein Concentration ◽  
Production Systems ◽  
Production Environment ◽  
Genetic Merit ◽  
Short Term Study ◽  
Two Systems ◽  
High Feed ◽  
Feed Value

In a previous short term study, Ferris et al. (1997) demonstrated that similar levels of nutrient intake and animal performance could be obtained by either increasing silage feed value and reducing concentrate feed level, or by reducing silage feed value and increasing concentrate feed level. The principles established in this study were incorporated into this trial to examine two systems of milk production over a full lactation, including both the winter and grazing periods.Forty high genetic merit dairy cows (PTA95 fat + protein = 38.2 kg), in their second or subsequent lactation, were used in a continuous design full lactation study. Animals had a mean calving date of 1 November and were allocated to one of two systems of milk production, HF or HC, within 36 hours of calving. During the winter, animals on system HF were offered a silage with high feed value characteristics, supplemented with 5.5 kg of concentrate (crude protein concentration of 280 g/kg DM) through an out-of-parlour feeding system.

Augmented Reality in der Produktion*/Augmented Reality in production systems – seeing things nobody else can see

2019 ◽  
Vol 109 (03) ◽  
pp. 153-157
Author(s):  
J. Gutjahr ◽  
G. Riexinger ◽  
F. Strieg
Keyword(s):  
Augmented Reality ◽  
Production Planning ◽  
Production Systems ◽  
Industrie 4.0 ◽  
Production Operation ◽  
Production Environment ◽  
Research Activities ◽  
Fraunhofer Institute ◽  
Manufacturing Engineering ◽  
Planning Production

Das Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA in Stuttgart entwickelt Augmented-Reality-Lösungen für das Produktionsumfeld. Die in diesem Beitrag vorgestellten Arbeiten und Anwendungen sind im „Applikationszentrum Industrie 4.0“ Teil der Showcases Mensch und IT. Abteilungsübergreifend wurden verschiedene Anwendungsbereiche für Augmented Reality in der Produktion erforscht und anwendungsnahe Lösungen entwickelt. Ausgewählte Arbeiten werden im Beitrag getrennt nach den Themenbereichen Produktionsplanung, Produktionsbetrieb, Instandhaltung sowie Montage vorgestellt.   The Fraunhofer Institute for Manufacturing Engineering and Automation IPA in Stuttgart develops augmented reality solutions for the production environment. This article presents research activities and applications that are part of human and IT showcases within the “Application Center Industrie 4.0”. Different areas of application for Augmented Reality in production have been evaluated and application-driven solutions developed. The article presents selected findings in the fields of production planning, production operation, maintenance and assembly.

scholarly journals Optimization of parameters of the ‘Virtual Fruit’ model to design peach genotype for sustainable production systems

2012 ◽  
Vol 42 ◽  
pp. 34-48 ◽  
Author(s):  
Bénédicte Quilot-Turion ◽  
Mohamed-Mahmoud Ould-Sidi ◽  
Abdeslam Kadrani ◽  
Nadine Hilgert ◽  
Michel Génard ◽  
...  
Keyword(s):  
Production Systems ◽  
Sustainable Production ◽  
Optimization Of Parameters

scholarly journals Biorefineries – New Green Strategy For Development Of Smart And Innovative Industry

2016 ◽  
Vol 23 (3) ◽  
pp. 150-155 ◽  
Author(s):  
Grażyna A. Płaza ◽  
Dorota Wandzich
Keyword(s):  
Natural Environment ◽  
Production Systems ◽  
Ecological Engineering ◽  
Sustainable Production ◽  
Human Society ◽  
Natural Cycle ◽  
Biomass Feedstocks ◽  
Green Strategy ◽  
Innovative Industry ◽  
Natural Cycles

Abstract Ecological engineering or ecotechnology is defined as the design of sustainable production that integrate human society with the natural environment for the benefit of both. In order to reach the goal of sustainability therefore important that bioproduct production systems are converted from to natural cycle oriented. In natural cycles there are not waste, but products are generated at different stages of the cycle. The ecotechnology creates a sustainable bioeconomy using biomass in a smart and efficient way. The biorefining sector, which uses smart, innovative and efficient technologies to convert biomass feedstocks into a range of bio-based products including fuels, chemicals, power, food, and renewable oils, currently presents the innovative and efficient bio-based production can revitalize existing industries. The paper presents the concept of biorefinery as the ecotechnological approach for creating a sustainable bioeconomy using biomass in a smart and efficient way.

scholarly journals Impact of Cover Crops on the Soil Microbiome of Tree Crops

2020 ◽  
Vol 8 (3) ◽  
pp. 328 ◽  
Author(s):  
Antonio Castellano-Hinojosa ◽  
Sarah L. Strauss
Keyword(s):  
Cover Crops ◽  
Sustainable Management ◽  
Crop Production ◽  
Production Systems ◽  
Cropping Systems ◽  
Soil Nutrient ◽  
Conventional Tillage ◽  
Soil Microbiome ◽  
Nitrogen And Phosphorus ◽  
Tree Crops

Increased concerns associated with interactions between herbicides, inorganic fertilizers, soil nutrient availability, and plant phytotoxicity in perennial tree crop production systems have renewed interest in the use of cover crops in the inter-row middles or between trees as an alternative sustainable management strategy for these systems. Although interactions between the soil microbiome and cover crops have been examined for annual cropping systems, there are critical differences in management and growth in perennial cropping systems that can influence the soil microbiome and, therefore, the response to cover crops. Here, we discuss the importance of cover crops in tree cropping systems using multispecies cover crop mixtures and minimum tillage and no-tillage to not only enhance the soil microbiome but also carbon, nitrogen, and phosphorus cycling compared to monocropping, conventional tillage, and inorganic fertilization. We also identify potentially important taxa and research gaps that need to be addressed to facilitate assessments of the relationships between cover crops, soil microbes, and the health of tree crops. Additional evaluations of the interactions between the soil microbiome, cover crops, nutrient cycling, and tree performance will allow for more effective and sustainable management of perennial cropping systems.

scholarly journals An Information-Theoretic Analysis of Flexible Efficient Cognition for Persistent Sustainable Production

Entropy ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. 444
Author(s):  
Stephen Fox ◽  
Adrian Kotelba
Keyword(s):  
Information Theory ◽  
Cognitive Functioning ◽  
Cognitive Science ◽  
Production Systems ◽  
Sustainable Production ◽  
Theoretic Analysis ◽  
Brain Functioning ◽  
Information Theoretic ◽  
Brain Entropy

Amidst certainty, efficiency can improve sustainability by reducing resource consumption. However, flexibility is needed to be able to survive when uncertainty increases. Apropos, sustainable production cannot persist in the long-term without having both flexibility and efficiency. Referring to cognitive science to inform the development of production systems is well established. However, recent research in cognitive science encompassing flexibility and efficiency in brain functioning have not been considered previously. In particular, research by others that encompasses information (I), information entropy (H), relative entropy (D), transfer entropy (TE), and brain entropy. By contrast, in this paper, flexibility and efficiency for persistent sustainable production is analyzed in relation to these information theory applications in cognitive science and is quantified in terms of information. Thus, this paper is consistent with the established practice of referring to cognitive science to inform the development of production systems. However, it is novel in addressing the need to combine flexibility and efficiency for persistent sustainability in terms of cognitive functioning as modelled with information theory.

Forest Conservation Genetics

2000 ◽  
Author(s):  
Andrew Young ◽  
David Boshier ◽  
Timothy Boyle
Keyword(s):  
Genetic Diversity ◽  
Conservation Genetics ◽  
Undergraduate Students ◽  
Sustainable Management ◽  
Forest Conservation ◽  
Production Systems ◽  
Management Strategies ◽  
Management Policy ◽  
Tropical Regions ◽  
Logical Sequence

Forest management must be sustainable not only in ecological, economic and social, but also genetic terms. Many forest managers are advocating and developing management strategies that give priority to conserving genetic diversity within production systems, or that recognise the importance of genetic considerations in achieving sustainable management. Forest Conservation Genetics draws together much previously uncollected information relevant to managing and conserving forests. The content emphasises the importance of conserving genetic diversity in achieving sustainable management. Each chapter is written by a leading expert and has been peer reviewed. Readers without a background in genetics will find the logical sequence of topics allows easy understanding of the principles involved and how those principles may impact on day-to-day forest planning and management decisions. The book is primarily aimed at undergraduate students of biology, ecology, forestry, and graduate students of forest genetics, resource management policy and/or conservation biology. It will prove useful for those teaching courses in these fields and as such help to increase the awareness of genetic factors in conservation and sustainable management, in both temperate and tropical regions.

scholarly journals Using phenotypic distribution models to predict livestock performance

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
M. Lozano-Jaramillo ◽  
S. W. Alemu ◽  
T. Dessie ◽  
H. Komen ◽  
J. W. M. Bastiaansen
Keyword(s):  
Body Weight ◽  
Production Systems ◽  
Machine Learning Algorithms ◽  
Sub Saharan Africa ◽  
Environment Interaction ◽  
Production Environment ◽  
Distribution Models ◽  
Predicted Body Weight ◽  
Lower Productivity ◽  
Phenotype Distribution

Abstract Livestock production systems of the developing world use indigenous breeds that locally adapted to specific agro-ecologies. Introducing commercial breeds usually results in lower productivity than expected, as a result of unfavourable genotype by environment interaction. It is difficult to predict of how these commercial breeds will perform in different conditions encountered in e.g. sub-Saharan Africa. Here, we present a novel methodology to model performance, by using growth data from different chicken breeds that were tested in Ethiopia. The suitability of these commercial breeds was tested by predicting the response of body weight as a function of the environment across Ethiopia. Phenotype distribution models were built using machine learning algorithms to make predictions of weight in the local environmental conditions based on the productivity for the breed. Based on the predicted body weight, breeds were assigned as being most suitable in a given agro-ecology or region. We identified the most important environmental variables that explained the variation in body weight across agro-ecologies for each of the breeds. Our results highlight the importance of acknowledging the role of environment in predicting productivity in scavenging chicken production systems. The use of phenotype distribution models in livestock breeding is recommended to develop breeds that will better fit in their intended production environment.

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