東華大學圖書館 |

Genomically Enhanced Predictions of Dairy Cattle Fertility : = Implementation in Reproductive Management and Associations with Cow Reproductive Biology and Behavior.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Genomically Enhanced Predictions of Dairy Cattle Fertility :/
其他題名:	Implementation in Reproductive Management and Associations with Cow Reproductive Biology and Behavior.
作者:	Sitko, Emily Marie.
面頁冊數:	1 online resource (257 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-03, Section: B.
Contained By:	Dissertations Abstracts International84-03B.
標題:	Animal sciences. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29326824click for full text (PQDT)
ISBN:	9798351414812

Genomically Enhanced Predictions of Dairy Cattle Fertility : = Implementation in Reproductive Management and Associations with Cow Reproductive Biology and Behavior.
Sitko, Emily Marie.

Genomically Enhanced Predictions of Dairy Cattle Fertility :Implementation in Reproductive Management and Associations with Cow Reproductive Biology and Behavior. - 1 online resource (257 pages)

Source: Dissertations Abstracts International, Volume: 84-03, Section: B.

Thesis (Ph.D.)--Cornell University, 2022.

Includes bibliographical references

Research presented in this thesis aimed at improving the efficiency of dairy farms through the development of targeted reproductive management strategies (TRM) based on genomically enhanced predictions of fertility, and the elucidation of associations between genetic merit for fertility and biological outcomes that affect dairy cow reproductive performance.Chapter II and III present the results of an experiment designed to compare the association between genetic merit for fertility and reproductive and profitability outcomes of cows submitted for artificial insemination (AI) with management programs that prioritized AI at detected estrus (AIE) or timed AI (TAI). Another objective was to determine if cows with different genetic potential for fertility would present a distinct response to the strategies compared. The study presented in Chapter IV and V characterized associations between genetic merit for fertility and biological parameters known to alter reproductive performance of cows. Results presented in Chapter II and III indicated that primiparous Holstein cows of superior genetic merit for fertility had better reproductive performance than cows of inferior genetic merit for fertility regardless of the type of reproductive management used. In addition, the effect of TRM based on genetic merit for fertility on reproductive performance depended on the outcome or sets of outcomes of interest evaluated. For example, cows of superior and intermediate genetic merit for fertility had greater P/AI when managed with the predominant TAI program but reduced days to pregnancy when managed with the program that prioritized AIE. Cows of inferior fertility also had greater first service P/AI with the program that prioritized TAI but had similar days to pregnancy with both management strategies. From an economic standpoint, cows of inferior fertility had greater cash flow than cows of superior fertility. For cows in specific fertility groups, the effects of the reproductive management strategies compared generated differences in cash flow of potential value for commercial dairy farms.The study presented in Chapter IV and V demonstrated a potential association of genomic merit for fertility with physiological and endocrine parameters known to affect reproductive performance of dairy cows. Particularly, cows of inferior genetic merit for fertility had poorer uterine health, decreased response to synchronization of estrus and ovulation, and were more likely to present altered ovarian and hormonal phenotypes that led to more frequent expression of atypical estrous cycles as compared with cows of superior genetic merit for fertility. Overall, we observed that genetically enhanced predictions of fertility might be a suitable tool for decision making in TRM. Additionally, the value of TRM programs for cows of different genetic merit for fertility might be on improving aspects of herd management such as simplifying program implementation or reducing reliance on hormonal interventions while maintaining acceptable levels of reproductive performance. An improved understanding of biological differences associated with genetic variation, such as our observations in Chapter IV and V, may be beneficial for the development of novel TRM and technologies to improve the reproductive efficiency of dairy cattle. This novel information could also support the development of new traits for selection of fertility.

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

Mode of access: World Wide Web

ISBN: 9798351414812Subjects--Topical Terms:

3174829
Animal sciences.
Subjects--Index Terms:

Dairy cowIndex Terms--Genre/Form:

542853
Electronic books.

Genomically Enhanced Predictions of Dairy Cattle Fertility : = Implementation in Reproductive Management and Associations with Cow Reproductive Biology and Behavior.
LDR:04850nmm a2200385K 4500 001 2353780
005 20230313091351.5
006 m o d
007 cr mn ---uuuuu
008 241011s2022 xx obm 000 0 eng d
020 $a 9798351414812
035 $a (MiAaPQ)AAI29326824
035 $a AAI29326824
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Sitko, Emily Marie. $3 3694111
245 1 0 $a Genomically Enhanced Predictions of Dairy Cattle Fertility : $b Implementation in Reproductive Management and Associations with Cow Reproductive Biology and Behavior.
264 0 $c 2022
300 $a 1 online resource (257 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 84-03, Section: B.
500 $a Advisor: Giordano, Julio.
502 $a Thesis (Ph.D.)--Cornell University, 2022.
504 $a Includes bibliographical references
520 $a Research presented in this thesis aimed at improving the efficiency of dairy farms through the development of targeted reproductive management strategies (TRM) based on genomically enhanced predictions of fertility, and the elucidation of associations between genetic merit for fertility and biological outcomes that affect dairy cow reproductive performance.Chapter II and III present the results of an experiment designed to compare the association between genetic merit for fertility and reproductive and profitability outcomes of cows submitted for artificial insemination (AI) with management programs that prioritized AI at detected estrus (AIE) or timed AI (TAI). Another objective was to determine if cows with different genetic potential for fertility would present a distinct response to the strategies compared. The study presented in Chapter IV and V characterized associations between genetic merit for fertility and biological parameters known to alter reproductive performance of cows. Results presented in Chapter II and III indicated that primiparous Holstein cows of superior genetic merit for fertility had better reproductive performance than cows of inferior genetic merit for fertility regardless of the type of reproductive management used. In addition, the effect of TRM based on genetic merit for fertility on reproductive performance depended on the outcome or sets of outcomes of interest evaluated. For example, cows of superior and intermediate genetic merit for fertility had greater P/AI when managed with the predominant TAI program but reduced days to pregnancy when managed with the program that prioritized AIE. Cows of inferior fertility also had greater first service P/AI with the program that prioritized TAI but had similar days to pregnancy with both management strategies. From an economic standpoint, cows of inferior fertility had greater cash flow than cows of superior fertility. For cows in specific fertility groups, the effects of the reproductive management strategies compared generated differences in cash flow of potential value for commercial dairy farms.The study presented in Chapter IV and V demonstrated a potential association of genomic merit for fertility with physiological and endocrine parameters known to affect reproductive performance of dairy cows. Particularly, cows of inferior genetic merit for fertility had poorer uterine health, decreased response to synchronization of estrus and ovulation, and were more likely to present altered ovarian and hormonal phenotypes that led to more frequent expression of atypical estrous cycles as compared with cows of superior genetic merit for fertility. Overall, we observed that genetically enhanced predictions of fertility might be a suitable tool for decision making in TRM. Additionally, the value of TRM programs for cows of different genetic merit for fertility might be on improving aspects of herd management such as simplifying program implementation or reducing reliance on hormonal interventions while maintaining acceptable levels of reproductive performance. An improved understanding of biological differences associated with genetic variation, such as our observations in Chapter IV and V, may be beneficial for the development of novel TRM and technologies to improve the reproductive efficiency of dairy cattle. This novel information could also support the development of new traits for selection of fertility.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Animal sciences. $3 3174829
650 4 $a Genetics. $3 530508
650 4 $a Epidemiology. $3 568544
653 $a Dairy cow
653 $a Genomics
653 $a Reproduction
653 $a Targeted management
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0475
690 $a 0369
690 $a 0766
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a Cornell University. $b Animal Science. $3 3286032
773 0 $t Dissertations Abstracts International $g 84-03B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29326824 $z click for full text (PQDT)