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Source: Digital Library of India Scanning Centre: C-DAC, Noida Source Library: Central Library, University Delhi Date Accessioned: 7/10/2015 20:52 The Digital Library of India was a project under the auspices of the Government of India.

190 pages ; 25 cm

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Parasitic infections in livestock, particularly gastrointestinal (GI) parasites, pose significant challenges to the dairy industry worldwide. These parasites, ranging from nematodes to protozoa, can have detrimental effects on the health and productivity of dairy cattle, including weight gain and milk production. The prevalence of GI parasites varies across regions, influenced by factors such as climate, management practices, and parasite resistance to anthelmintic drugs. In some areas, parasitic infections are endemic, while in others, they occur periodically due to environmental conditions conducive to parasite transmission. To address the impact of GI parasites on weight gain and milk production, a multifaceted approach is required. This includes effective parasite control strategies, such as strategic deworming protocols, pasture management practices, and genetic selection for resistance traits. Additionally, promoting overall herd health through optimal nutrition, housing, and hygiene practices can help mitigate the impact of parasitic infections on productivity. Understanding the complex interactions between GI parasites and dairy cattle is crucial for implementing sustainable management practices that optimize animal welfare and economic viability within the dairy industry. By elucidating the mechanisms by which parasites impair weight gain and milk production, researchers and practitioners can develop targeted interventions to minimize the negative effects of parasitic infections on dairy cattle worldwide.

Parasitic infections in livestock, particularly gastrointestinal (GI) parasites, pose significant challenges to the dairy industry worldwide. These parasites, ranging from nematodes to protozoa, can have detrimental effects on the health and productivity of dairy cattle, including weight gain and milk production. The prevalence of GI parasites varies across regions, influenced by factors such as climate, management practices, and parasite resistance to anthelmintic drugs. In some areas, parasitic infections are endemic, while in others, they occur periodically due to environmental conditions conducive to parasite transmission. To address the impact of GI parasites on weight gain and milk production, a multifaceted approach is required. This includes effective parasite control strategies, such as strategic deworming protocols, pasture management practices, and genetic selection for resistance traits. Additionally, promoting overall herd health through optimal nutrition, housing, and hygiene practices can help mitigate the impact of parasitic infections on productivity. Understanding the complex interactions between GI parasites and dairy cattle is crucial for implementing sustainable management practices that optimize animal welfare and economic viability within the dairy industry. By elucidating the mechanisms by which parasites impair weight gain and milk production, researchers and practitioners can develop targeted interventions to minimize the negative effects of parasitic infections on dairy cattle worldwide.

"Inheritance of Quantity and Quality of Milk Production in Dairy Cattle" is an article from Proceedings of the National Academy of Sciences of the United States of America, Volume 5 . View more articles from Proceedings of the National Academy of Sciences of the United States of America . View this article on JSTOR . View this article's JSTOR metadata . You may also retrieve all of this items metadata in JSON at the following URL: https://archive.org/metadata/jstor-84297

Book Source: Digital Library of India Item 2015.139914 dc.contributor.author: Becker,r.b. dc.date.accessioned: 2015-07-04T03:02:35Z dc.date.available: 2015-07-04T03:02:35Z dc.date.digitalpublicationdate: 2012-08-00 dc.date.citation: 1949 dc.identifier.barcode: 99999990286630 dc.identifier.origpath: /data9/upload/0284/562 dc.identifier.copyno: 1 dc.identifier.uri: http://www.new.dli.ernet.in/handle/2015/139914 dc.description.scanningcentre: Banasthali University dc.description.main: 1 dc.description.tagged: 0 dc.description.totalpages: 606 dc.format.mimetype: application/pdf dc.language.iso: English dc.publisher.digitalrepublisher: Digital Library Of India dc.publisher: New York.,the Macmillan Company dc.rights: Out_of_copyright dc.source.library: Central Library Mohanlal Sukhadia University,udaipur dc.subject.classification: Zoology dc.title: Dairy Cattle And Milk Production Edition Fifth

This volume was digitized and made accessible online due to deterioration of the original print copy.

xx, 591 p

190 p. 25 cm

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This article is from Asian-Australasian Journal of Animal Sciences , volume 26 . Abstract The objective of this study was to estimate variance components and genetic parameters for lactation milk yield (LY), lactation length (LL), average milk yield per day (YD), initial milk yield (IY), peak milk yield (PY), days to peak (DP) and parameters (ln(a) and c) of the modified incomplete gamma function (MIG) in an Ethiopian multibreed dairy cattle population. The dataset was composed of 5,507 lactation records collected from 1,639 cows in three locations (Bako, Debre Zeit and Holetta) in Ethiopia from 1977 to 2010. Parameters for MIG were obtained from regression analysis of monthly test-day milk data on days in milk. The cows were purebred (Bos indicus) Boran (B) and Horro (H) and their crosses with different fractions of Friesian (F), Jersey (J) and Simmental (S). There were 23 breed groups (B, H, and their crossbreds with F, J, and S) in the population. Fixed and mixed models were used to analyse the data. The fixed model considered herd-year-season, parity and breed group as fixed effects, and residual as random. The single and two-traits mixed animal repeatability models, considered the fixed effects of herd-year-season and parity subclasses, breed as a function of cow H, F, J, and S breed fractions and general heterosis as a function of heterozygosity, and the random additive animal, permanent environment, and residual effects. For the analysis of LY, LL was added as a fixed covariate to all models. Variance components and genetic parameters were estimated using average information restricted maximum likelihood procedures. The results indicated that all traits were affected (p

Source: Digital Library of India Scanning Centre: C-DAC, Noida Source Library: Central Library, University Delhi Date Accessioned: 6/19/2015 17:22 The Digital Library of India was a project under the auspices of the Government of India.

xii p., 1 \U+fffd\., 342 p. 20 cm

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