Zobrazeno 1 - 10
of 138
pro vyhledávání: '"GIORGIO MARCHESINI"'
Publikováno v:
Italian Journal of Animal Science, Vol 23, Iss 1, Pp 1194-1203 (2024)
Several features prevent dairy farms from reaching their full potential milk yield levels. A plurality of methods are available to analyse a farm’s yield gap, but in practice, farmers rarely use them to understand their main constraints to producti
Externí odkaz:
https://doaj.org/article/6825baa01cd44dbfad925ba4a5baa4ea
Publikováno v:
Agronomy, Vol 14, Iss 5, p 982 (2024)
Southern Europe’s mutating weather conditions and the European environmental agenda have suggested the cropping of maize (Zea mays L.) after winter cereal cultivation, even if shortening the growing period could result in an immature harvesting sta
Externí odkaz:
https://doaj.org/article/e5f80867993847dcb38c1115ebd731f6
Autor:
Oussama Siad, Kahramen Deghnouche, Igino Andrighetto, Barbara Contiero, Giorgio Marchesini, Hanane Bedjaoui, Adel Chala, Martina Cortese
Publikováno v:
Italian Journal of Animal Science, Vol 21, Iss 1, Pp 41-50 (2022)
Weather hazards and changing climatic regimes combined with socio-cultural changes are forcing farmers living in Algerian steppe territories to find new strategies to maintain their business, particularly in terms of animal feeding sources. Animal’
Externí odkaz:
https://doaj.org/article/65f82e563c3042509c6a514854a34fb3
Autor:
Lorenzo Serva, Igino Andrighetto, Severino Segato, Giorgio Marchesini, Maria Chinello, Luisa Magrin
Publikováno v:
Data, Vol 8, Iss 7, p 117 (2023)
Maize silage suffers from several factors that affect the final quality and, to some extent, pre-ensiled conditions that can be potentially tuned during harvesting. After assessing new indices for silage quality under lab-scale conditions, several tr
Externí odkaz:
https://doaj.org/article/cc32db3489cc497fbed725a76e8dfb18
Autor:
Paolo Balasso, Cristian Taccioli, Lorenzo Serva, Luisa Magrin, Igino Andrighetto, Giorgio Marchesini
Publikováno v:
Animals, Vol 13, Iss 11, p 1886 (2023)
The accurate detection of behavioural changes represents a promising method of detecting the early onset of disease in dairy cows. This study assessed the performance of deep learning (DL) in classifying dairy cows’ behaviour from accelerometry dat
Externí odkaz:
https://doaj.org/article/dd896541c717450bb61a525f8de47c67
Autor:
Lorenzo Serva, Giorgio Marchesini, Maria Chinello, Barbara Contiero, Sandro Tenti, Massimo Mirisola, Daniel Grandis, Igino Andrighetto
Publikováno v:
Italian Journal of Animal Science, Vol 20, Iss 1, Pp 859-871 (2021)
The study aimed to evaluate the most predictive traits of fresh maize and the most appropriate multivariate approach for estimating silage fermentation quality. The use of near infrared (NIRs) instruments allowed rapid, accurate and cheap analysis. S
Externí odkaz:
https://doaj.org/article/e6c343c2a61f4af9aaf1af45941a0258
Autor:
Antonella Dalle Zotte, Rebecca Ricci, Marco Cullere, Lorenzo Serva, Sandro Tenti, Giorgio Marchesini
Publikováno v:
Poultry Science, Vol 99, Iss 3, Pp 1797-1803 (2020)
The present experiment compared the proximate composition, the amino acid content, and profile of the breast meat of a commercial broiler hybrid (Hybrid-Normal) vs. a broiler hybrid affected by the simultaneous presence of white striping (WS) and woo
Externí odkaz:
https://doaj.org/article/3e7ae136c07044239a7a5e982e727ced
Publikováno v:
Agronomy, Vol 13, Iss 2, p 508 (2023)
Winter cereal silages can suffer from an inadequate fermentative path which can lead to aerobic instability. We evaluate the pre-ensiled conditions influencing the final fermentative quality and its aerobic stability. We studied the use of hetero/hom
Externí odkaz:
https://doaj.org/article/251f5bbe0f7e4542b285e9fbc9add6ce
Publikováno v:
Animals, Vol 13, Iss 3, p 523 (2023)
This study performed a yield gap analysis to help farmers understand whether their constraints were mainly due to nutritional factors or management and health issues. Twenty-nine farms were periodically evaluated. Milk yield (MY), dry matter intake (
Externí odkaz:
https://doaj.org/article/6cb245345f6b41049a30de1f06eee3a0
Autor:
Severino Segato, Giorgio Marchesini, Luisa Magrin, Barbara Contiero, Igino Andrighetto, Lorenzo Serva
Publikováno v:
Agriculture, Vol 12, Iss 6, p 785 (2022)
Estimating the dry matter losses (DML) of whole-plant maize (WPM) silage is a priority for sustainable dairy and beef farming. The study aimed to assess this loss of nutrients by using net-bags (n = 36) filled with freshly chopped WPM forage and buri
Externí odkaz:
https://doaj.org/article/0200307f4fe7446c99f815261790638c