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Genetic Improvement of Resilience in Dairy Cattle Using Longitudinal Data.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Genetic Improvement of Resilience in Dairy Cattle Using Longitudinal Data./
作者:	Poppe, Marieke.
面頁冊數:	1 online resource (282 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
Contained By:	Dissertations Abstracts International84-01B.
標題:	Daughters. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29185649click for full text (PQDT)
ISBN:	9798835543915

Genetic Improvement of Resilience in Dairy Cattle Using Longitudinal Data.
Poppe, Marieke.

Genetic Improvement of Resilience in Dairy Cattle Using Longitudinal Data. - 1 online resource (282 pages)

Source: Dissertations Abstracts International, Volume: 84-01, Section: B.

Thesis (Ph.D.)--Wageningen University and Research, 2022.

Includes bibliographical references

Resilience is the ability of cows to be minimally affected by, and to quickly recover from environmental disturbances, such as pathogens, extreme weather, or changes in feed quality. Resilience is important for welfare of cows and work pleasure of farmers, especially given an expected increase of disturbances in the future. This thesis focuses on developing indicators of resilience from longitudinal data, based on the expectation that longitudinal data records show response patterns to disturbances, informative about resilience. Resilience indicators based on response patterns can potentially assist in selecting the genetically most resilient animals for breeding, and in identifying resilience at herd level. The main focus of this thesis was on the resilience indicators 'variance' and 'autocorrelation' of daily deviations from expected values of milk yield and step count. Resilience is indicated by low variance (small deviations from baseline) and low lag-1 autocorrelation (weak dependency between subsequent deviations - quick recovery). Variance and autocorrelation of daily deviations from expected milk yield were heritable (0.21 and 0.09, respectively) and both were genetically similar within and between lactations. Variance seems informative about vulnerability and strength of response to disturbances, based on genetic correlations with milk loss upon real-life disturbances and with health, longevity and fertility. Autocorrelation had a favorable genetic correlation with recovery rate upon disturbances. Furthermore, variance was associated with lifetime gross margin, which confirms its economic importance. Levels of variance and autocorrelation differed considerably between herds, suggesting herd management plays a role in resilience. When based on step count instead of milk yield, variance and autocorrelation were heritable (0.14 and 0.04), and autocorrelation was favorably genetically correlated with health traits and fertility. However, variance had unfavorable genetic correlations with health. Additional traits based on step count were also heritable (especially mean step count; 0.45), but more research is needed into their relations with resilience. Genetic selection on a resilience index based on variance and autocorrelation of milk yield deviations, and potentially autocorrelation based on step count deviations, is expected to result in more resilient cows, that are less affected by disturbances and that recover more quickly.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798835543915Subjects--Topical Terms:

3682291
Daughters.
Index Terms--Genre/Form:

542853
Electronic books.

Genetic Improvement of Resilience in Dairy Cattle Using Longitudinal Data.
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504 $a Includes bibliographical references
520 $a Resilience is the ability of cows to be minimally affected by, and to quickly recover from environmental disturbances, such as pathogens, extreme weather, or changes in feed quality. Resilience is important for welfare of cows and work pleasure of farmers, especially given an expected increase of disturbances in the future. This thesis focuses on developing indicators of resilience from longitudinal data, based on the expectation that longitudinal data records show response patterns to disturbances, informative about resilience. Resilience indicators based on response patterns can potentially assist in selecting the genetically most resilient animals for breeding, and in identifying resilience at herd level. The main focus of this thesis was on the resilience indicators 'variance' and 'autocorrelation' of daily deviations from expected values of milk yield and step count. Resilience is indicated by low variance (small deviations from baseline) and low lag-1 autocorrelation (weak dependency between subsequent deviations - quick recovery). Variance and autocorrelation of daily deviations from expected milk yield were heritable (0.21 and 0.09, respectively) and both were genetically similar within and between lactations. Variance seems informative about vulnerability and strength of response to disturbances, based on genetic correlations with milk loss upon real-life disturbances and with health, longevity and fertility. Autocorrelation had a favorable genetic correlation with recovery rate upon disturbances. Furthermore, variance was associated with lifetime gross margin, which confirms its economic importance. Levels of variance and autocorrelation differed considerably between herds, suggesting herd management plays a role in resilience. When based on step count instead of milk yield, variance and autocorrelation were heritable (0.14 and 0.04), and autocorrelation was favorably genetically correlated with health traits and fertility. However, variance had unfavorable genetic correlations with health. Additional traits based on step count were also heritable (especially mean step count; 0.45), but more research is needed into their relations with resilience. Genetic selection on a resilience index based on variance and autocorrelation of milk yield deviations, and potentially autocorrelation based on step count deviations, is expected to result in more resilient cows, that are less affected by disturbances and that recover more quickly.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
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650 4 $a Pathogens. $3 3540520
650 4 $a Livestock. $3 539534
650 4 $a Feeds. $3 659935
650 4 $a Dairy cattle. $3 665493
650 4 $a Disease. $3 705846
650 4 $a Generalized linear models. $3 3561810
650 4 $a Farm management. $3 649848
650 4 $a Hogs. $3 3554056
650 4 $a Heat. $3 573595
650 4 $a Metabolism. $3 541349
650 4 $a Climate change. $2 bicssc $3 2079509
650 4 $a Ecology. $3 516476
650 4 $a Sensors. $3 3549539
650 4 $a Farms. $3 3221144
650 4 $a Animal lactation. $3 3690993
650 4 $a Fertility. $3 832956
650 4 $a Milk. $3 787748
650 4 $a Agriculture. $3 518588
650 4 $a Animal sciences. $3 3174829
650 4 $a Biology. $3 522710
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773 0 $t Dissertations Abstracts International $g 84-01B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29185649 $z click for full text (PQDT)