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  1. Apr 17, 2023 · Numerous technologies have been employed to combine artificial intelligence with conventional crop breeding methods to engineer and improve crop traits. The ongoing progress in sequencing and breeding technologies, coupled with innovative ideas, indicates the emergence of a new breeding revolution.

    • Standard and New Traits (Re)Visited
    • High Dimensionality
    • The Way Ahead

    Behavior at the individual and group levels

    Behavior and social interactions between animals can greatly affect production and performance phenotypes and are a major component of animal welfare. Given the difficulty of measuring behavior before the ‘phenomics era’, in genetic evaluations the effect of behavior on production traits has been either ignored or accounted for indirectly, e.g., by using social genetic effects models . However, selection to modify behavior is possible since some behaviors, especially those related to aggr...

    Gas emissions

    Genetic selection for reduced greenhouse gas emissions is possible, given that the trait is heritable and genetically correlated with other traits such as milk production and residual feed intake . Traditional measuring methods that involve respiration chambers and analysis of tracer elements are not readily scalable for application in high-throughput phenotyping. However, recently developed spectroscopy technology for “breath analysis” can be applied on a large scale to measure methane e...

    Feed efficiency

    Feed efficiency largely determines farm exploitation costs and has been measured on farms on a limited scale for many years now. As with behavior, measuring feed efficiency accurately and massively has only been possible due to sensor technology, via automatic feed recording devices . An inherent characteristic of feed intake and feeding behavior data obtained with automatic feeders is its incompleteness and its heterogeneity . Because different devices are used to record and pre-proc...

    At the end of the day, phenomics technologies deliver highly-dimensional data that need to be processed and incorporated into breeding and management decisions. Two main, related statistical issues are relevant in this context: dimension reduction and penalization. Dimension reduction consists of obtaining new ‘synthetic’ variables that are combina...

    Strangely, one of the first obstacles that will need to be solved for routine phenome collection is access to broadband internet. Even in the USA, as much as 40% rural farms lack reliable access to broadband . Aside from infrastructure issues, here we wish to focus on methodological issues. Quality control and visualization techniques should be a f...

    • Miguel Pérez-Enciso, Juan P. Steibel
    • 2021
  2. This review aims to investigate the benefits, limitations, and future prospects of AI technology in improving animal welfare. First, it examines the role of AI in understanding animal behaviors and emotions, providing deeper insights into their well-being and sources of stress.

  3. Nov 24, 2020 · Although variations between species exist, many reproductive and cryopreservation technologies are now at an advanced development stage and offer the industry effective means to improve rates of...

  4. Dec 29, 2022 · Significant breed differences were found for understanding of human communicative gestures, following a human’s misleading gesture, spatial problem-solving ability in a V-detour task, inhibitory...

  5. Dec 5, 2019 · Reproductive technologies will continue to impact livestock breeding, as technologies such as AI, ET, IVEP, and semen sexing have. Novel technologies are surrogate sire technology and in vitro meiosis. Other technology opportunities lie in the area of precision phenotyping and precision animal breeding.

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  7. Jun 17, 2019 · Technologies such as genotyping, marker-assisted selection, high-throughput phenotyping, genome editing, genomic selection and de novo domestication could be galvanized by using speed breeding to...

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