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101
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102
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103
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104
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105
Data Sheet 1_Swine influenza surveillance in Italy uncovers regional and farm-based genetic clustering.pdf
Julkaistu 2025“…</p>Material and methods<p>Passive surveillance, conducted from 2013 to 2022, involved 253 farms located in three regions, collecting over 3,000 samples that were tested for swIAV. …”
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106
Table 2_Influences on limited antimicrobial use in small-scale freshwater aquaculture farms in central Thailand.docx
Julkaistu 2025“…Among farmers representing twenty farms who were surveyed during 2019, only six farmers representing six farms said they used antimicrobials. …”
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107
Table 1_Influences on limited antimicrobial use in small-scale freshwater aquaculture farms in central Thailand.docx
Julkaistu 2025“…Among farmers representing twenty farms who were surveyed during 2019, only six farmers representing six farms said they used antimicrobials. …”
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108
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109
Data Sheet 1_Balancing productivity and sustainability: evaluating harmful agricultural practices and regulatory responses on climate resilience in the Yellow River Basin, China.do...
Julkaistu 2025“…This study employs stochastic frontier analysis to investigate the effects of environmental regulation on technical efficiency, offering new empirical evidence on how environmental regulations influence agricultural production choices and farm-level performance. …”
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110
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111
Data Sheet 1_Biosecurity implementation in poultry farms across Europe and neighboring countries: a systematic review.zip
Julkaistu 2025“…Despite relatively broad geographical coverage, including eight multi-country studies involving 36 national assessments, the distribution of studies was uneven. …”
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112
Data Sheet 2_Influences on limited antimicrobial use in small-scale freshwater aquaculture farms in central Thailand.docx
Julkaistu 2025“…Among farmers representing twenty farms who were surveyed during 2019, only six farmers representing six farms said they used antimicrobials. …”
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113
Data Sheet 1_Influences on limited antimicrobial use in small-scale freshwater aquaculture farms in central Thailand.docx
Julkaistu 2025“…Among farmers representing twenty farms who were surveyed during 2019, only six farmers representing six farms said they used antimicrobials. …”
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114
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115
Data Sheet 1_Challenges and opportunities in the okra (Abelmoschus spp.) seed system in Benin.pdf
Julkaistu 2025“…</p>Results<p>Farmers’ seed systems supplied 90.1% of okra seed, while the regulated system accounted for 9.9%. The regulated system offered 18 varieties (including hybrids and open-pollinated varieties), while the farmer system offered 11 open-pollinated varieties. …”
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116
Table 6_AI-based predictive modeling for enteric methane mitigation: cross-farm validation using an allicin based essential oil.docx
Julkaistu 2025“…Since the wide variety of feed additives available in the market, validating the model across a diverse range of additives is critical for its adoption in commercial farming practices. In this study, we extensively validate the model across ten commercial farms over a three-month period, involving 339 Holstein cows, and using an allicin-based essential oil (Allimax), an organosulfur compound obtained from garlic with potential to reduce enteric methane emissions. …”
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117
Table 4_AI-based predictive modeling for enteric methane mitigation: cross-farm validation using an allicin based essential oil.docx
Julkaistu 2025“…Since the wide variety of feed additives available in the market, validating the model across a diverse range of additives is critical for its adoption in commercial farming practices. In this study, we extensively validate the model across ten commercial farms over a three-month period, involving 339 Holstein cows, and using an allicin-based essential oil (Allimax), an organosulfur compound obtained from garlic with potential to reduce enteric methane emissions. …”
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118
Table 5_AI-based predictive modeling for enteric methane mitigation: cross-farm validation using an allicin based essential oil.docx
Julkaistu 2025“…Since the wide variety of feed additives available in the market, validating the model across a diverse range of additives is critical for its adoption in commercial farming practices. In this study, we extensively validate the model across ten commercial farms over a three-month period, involving 339 Holstein cows, and using an allicin-based essential oil (Allimax), an organosulfur compound obtained from garlic with potential to reduce enteric methane emissions. …”
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119
Table 1_AI-based predictive modeling for enteric methane mitigation: cross-farm validation using an allicin based essential oil.docx
Julkaistu 2025“…Since the wide variety of feed additives available in the market, validating the model across a diverse range of additives is critical for its adoption in commercial farming practices. In this study, we extensively validate the model across ten commercial farms over a three-month period, involving 339 Holstein cows, and using an allicin-based essential oil (Allimax), an organosulfur compound obtained from garlic with potential to reduce enteric methane emissions. …”
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120
Table 2_AI-based predictive modeling for enteric methane mitigation: cross-farm validation using an allicin based essential oil.docx
Julkaistu 2025“…Since the wide variety of feed additives available in the market, validating the model across a diverse range of additives is critical for its adoption in commercial farming practices. In this study, we extensively validate the model across ten commercial farms over a three-month period, involving 339 Holstein cows, and using an allicin-based essential oil (Allimax), an organosulfur compound obtained from garlic with potential to reduce enteric methane emissions. …”