The ANCOVA was performed, considering the year, ensiling method, inoculant, dose, delay, DM class, input level field, and FAO class as fixed effects and assessing the chemical composition of freshly harvested maize (FHM).

The ANCOVA was performed, considering the year, ensiling method, inoculant, dose, delay, DM class, input level field, and FAO class as fixed effects and assessing the chemical composition of freshly harvested maize (FHM).

<p>If not specified, values are expressed as % of DM.</p>

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Bibliographic Details
Main Author:	Lorenzo Serva (6184358) (author)
Published:	2024
Subjects:	Biochemistry Microbiology Ecology Sociology Developmental Biology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified predictive models derived field sensor technology freshly harvested maize incorporating additional factors shaping silage quality maize silage quality maize silage silage quality various pre source database significant source seasonality playing seasonality exerts screening purposes robust algorithms profound influence ph level machine learning highly recommended findings revealed fermentative profile ensiling circumstances diverse pre diverse databases deep learning crucial role comprehensive approach comparative evaluation combining data better elucidate beef cattle ammonia content aerobic stability
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Summary:	<p>If not specified, values are expressed as % of DM.</p>

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