Reproductive characteristics of female white-tailed deer (Odocoileus virginianus) in the Midwestern USA
Knowledge of reproductive characteristics of wild populations is necessary to inform responsible management decisions that promote herd health. As management, goals, and free-ranging populations change over time and landscapes, updated knowledge of reproductive characteristics are needed to inform r...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Green, Michelle L. [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2017transfer abstract |
|---|
| Schlagwörter: |
|---|
| Umfang: |
8 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Multi-source monitoring information fusion method for dam health diagnosis based on Wasserstein distance - Chen, Anyi ELSEVIER, 2023, an international journal of animal reproduction, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:94 ; year:2017 ; pages:71-78 ; extent:8 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.theriogenology.2017.02.010 |
|---|
| Katalog-ID: |
ELV019950233 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV019950233 | ||
| 003 | DE-627 | ||
| 005 | 20230625131006.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 180603s2017 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.theriogenology.2017.02.010 |2 doi | |
| 028 | 5 | 2 | |a GBVA2017001000005.pica |
| 035 | |a (DE-627)ELV019950233 | ||
| 035 | |a (ELSEVIER)S0093-691X(17)30078-X | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | |a 590 | |
| 082 | 0 | 4 | |a 590 |q DE-600 |
| 082 | 0 | 4 | |a 070 |a 004 |q VZ |
| 084 | |a LING |q DE-30 |2 fid | ||
| 084 | |a 54.00 |2 bkl | ||
| 084 | |a 53.71 |2 bkl | ||
| 100 | 1 | |a Green, Michelle L. |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Reproductive characteristics of female white-tailed deer (Odocoileus virginianus) in the Midwestern USA |
| 264 | 1 | |c 2017transfer abstract | |
| 300 | |a 8 | ||
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a Knowledge of reproductive characteristics of wild populations is necessary to inform responsible management decisions that promote herd health. As management, goals, and free-ranging populations change over time and landscapes, updated knowledge of reproductive characteristics are needed to inform responsible management practices. We estimated reproductive characteristics of female white-tailed deer in Illinois, including pregnancy rate, litter size, fetal growth and fetal sex ratio. We found maternal age to have an important influence on several reproductive factors. Approximately 66% of tested females (n = 3884) were pregnant and pregnancy rates increased with increasing maternal age, from 20.5% in fawns to 85.8% in adult deer. Litter size ranged from 1 to 5 fetuses per pregnant female. The average litter size was 1.9 ± 0.54 fetuses per pregnant female and also increased with age, from 1.2 in fawns to 2.0 in adults, respectively. Breeding season peaked in November with the mean estimated conception dates of fetuses varying with maternal age. Fawns conceived fetuses later in the breeding season (December 2) compared to yearlings and adults (November 11 and 8, respectively). We measured the body mass index (BMI) of all fetuses and found that litter size and female age influence fetal size. We found no bias in fetal sex ratio (average 1.0:1.0, male:female) but we observed a sex bias in fetal size (mean BMI male = 0.71, female 0.67) across all maternal age classes. A comparison of the current study and previous reports indicate that variation in maternal age within a population is an important driver of reproductive metrics, likely because maternal age and body size or condition are related. Furthermore, variation in resource availability will influence reproductive rates, especially among fawn females. | ||
| 520 | |a Knowledge of reproductive characteristics of wild populations is necessary to inform responsible management decisions that promote herd health. As management, goals, and free-ranging populations change over time and landscapes, updated knowledge of reproductive characteristics are needed to inform responsible management practices. We estimated reproductive characteristics of female white-tailed deer in Illinois, including pregnancy rate, litter size, fetal growth and fetal sex ratio. We found maternal age to have an important influence on several reproductive factors. Approximately 66% of tested females (n = 3884) were pregnant and pregnancy rates increased with increasing maternal age, from 20.5% in fawns to 85.8% in adult deer. Litter size ranged from 1 to 5 fetuses per pregnant female. The average litter size was 1.9 ± 0.54 fetuses per pregnant female and also increased with age, from 1.2 in fawns to 2.0 in adults, respectively. Breeding season peaked in November with the mean estimated conception dates of fetuses varying with maternal age. Fawns conceived fetuses later in the breeding season (December 2) compared to yearlings and adults (November 11 and 8, respectively). We measured the body mass index (BMI) of all fetuses and found that litter size and female age influence fetal size. We found no bias in fetal sex ratio (average 1.0:1.0, male:female) but we observed a sex bias in fetal size (mean BMI male = 0.71, female 0.67) across all maternal age classes. A comparison of the current study and previous reports indicate that variation in maternal age within a population is an important driver of reproductive metrics, likely because maternal age and body size or condition are related. Furthermore, variation in resource availability will influence reproductive rates, especially among fawn females. | ||
| 650 | 7 | |a Pregnancy |2 Elsevier | |
| 650 | 7 | |a Sex ratio |2 Elsevier | |
| 650 | 7 | |a Female reproduction |2 Elsevier | |
| 650 | 7 | |a Maternal age |2 Elsevier | |
| 650 | 7 | |a Fetus |2 Elsevier | |
| 650 | 7 | |a Cervidae |2 Elsevier | |
| 700 | 1 | |a Kelly, Amy C. |4 oth | |
| 700 | 1 | |a Satterthwaite-Phillips, Damian |4 oth | |
| 700 | 1 | |a Manjerovic, Mary Beth |4 oth | |
| 700 | 1 | |a Shelton, Paul |4 oth | |
| 700 | 1 | |a Novakofski, Jan |4 oth | |
| 700 | 1 | |a Mateus-Pinilla, Nohra |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Chen, Anyi ELSEVIER |t Multi-source monitoring information fusion method for dam health diagnosis based on Wasserstein distance |d 2023 |d an international journal of animal reproduction |g Amsterdam [u.a.] |w (DE-627)ELV009476539 |
| 773 | 1 | 8 | |g volume:94 |g year:2017 |g pages:71-78 |g extent:8 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.theriogenology.2017.02.010 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 912 | |a FID-LING | ||
| 912 | |a SSG-OPC-BBI | ||
| 936 | b | k | |a 54.00 |j Informatik: Allgemeines |q VZ |
| 936 | b | k | |a 53.71 |j Theoretische Nachrichtentechnik |q VZ |
| 951 | |a AR | ||
| 952 | |d 94 |j 2017 |h 71-78 |g 8 | ||
| 953 | |2 045F |a 590 | ||
| author_variant |
m l g ml mlg |
|---|---|
| matchkey_str |
greenmichellelkellyamycsatterthwaitephil:2017----:erdciehrceitcofmlwiealderdciesign |
| hierarchy_sort_str |
2017transfer abstract |
| bklnumber |
54.00 53.71 |
| publishDate |
2017 |
| allfields |
10.1016/j.theriogenology.2017.02.010 doi GBVA2017001000005.pica (DE-627)ELV019950233 (ELSEVIER)S0093-691X(17)30078-X DE-627 ger DE-627 rakwb eng 590 590 DE-600 070 004 VZ LING DE-30 fid 54.00 bkl 53.71 bkl Green, Michelle L. verfasserin aut Reproductive characteristics of female white-tailed deer (Odocoileus virginianus) in the Midwestern USA 2017transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Knowledge of reproductive characteristics of wild populations is necessary to inform responsible management decisions that promote herd health. As management, goals, and free-ranging populations change over time and landscapes, updated knowledge of reproductive characteristics are needed to inform responsible management practices. We estimated reproductive characteristics of female white-tailed deer in Illinois, including pregnancy rate, litter size, fetal growth and fetal sex ratio. We found maternal age to have an important influence on several reproductive factors. Approximately 66% of tested females (n = 3884) were pregnant and pregnancy rates increased with increasing maternal age, from 20.5% in fawns to 85.8% in adult deer. Litter size ranged from 1 to 5 fetuses per pregnant female. The average litter size was 1.9 ± 0.54 fetuses per pregnant female and also increased with age, from 1.2 in fawns to 2.0 in adults, respectively. Breeding season peaked in November with the mean estimated conception dates of fetuses varying with maternal age. Fawns conceived fetuses later in the breeding season (December 2) compared to yearlings and adults (November 11 and 8, respectively). We measured the body mass index (BMI) of all fetuses and found that litter size and female age influence fetal size. We found no bias in fetal sex ratio (average 1.0:1.0, male:female) but we observed a sex bias in fetal size (mean BMI male = 0.71, female 0.67) across all maternal age classes. A comparison of the current study and previous reports indicate that variation in maternal age within a population is an important driver of reproductive metrics, likely because maternal age and body size or condition are related. Furthermore, variation in resource availability will influence reproductive rates, especially among fawn females. Knowledge of reproductive characteristics of wild populations is necessary to inform responsible management decisions that promote herd health. As management, goals, and free-ranging populations change over time and landscapes, updated knowledge of reproductive characteristics are needed to inform responsible management practices. We estimated reproductive characteristics of female white-tailed deer in Illinois, including pregnancy rate, litter size, fetal growth and fetal sex ratio. We found maternal age to have an important influence on several reproductive factors. Approximately 66% of tested females (n = 3884) were pregnant and pregnancy rates increased with increasing maternal age, from 20.5% in fawns to 85.8% in adult deer. Litter size ranged from 1 to 5 fetuses per pregnant female. The average litter size was 1.9 ± 0.54 fetuses per pregnant female and also increased with age, from 1.2 in fawns to 2.0 in adults, respectively. Breeding season peaked in November with the mean estimated conception dates of fetuses varying with maternal age. Fawns conceived fetuses later in the breeding season (December 2) compared to yearlings and adults (November 11 and 8, respectively). We measured the body mass index (BMI) of all fetuses and found that litter size and female age influence fetal size. We found no bias in fetal sex ratio (average 1.0:1.0, male:female) but we observed a sex bias in fetal size (mean BMI male = 0.71, female 0.67) across all maternal age classes. A comparison of the current study and previous reports indicate that variation in maternal age within a population is an important driver of reproductive metrics, likely because maternal age and body size or condition are related. Furthermore, variation in resource availability will influence reproductive rates, especially among fawn females. Pregnancy Elsevier Sex ratio Elsevier Female reproduction Elsevier Maternal age Elsevier Fetus Elsevier Cervidae Elsevier Kelly, Amy C. oth Satterthwaite-Phillips, Damian oth Manjerovic, Mary Beth oth Shelton, Paul oth Novakofski, Jan oth Mateus-Pinilla, Nohra oth Enthalten in Elsevier Science Chen, Anyi ELSEVIER Multi-source monitoring information fusion method for dam health diagnosis based on Wasserstein distance 2023 an international journal of animal reproduction Amsterdam [u.a.] (DE-627)ELV009476539 volume:94 year:2017 pages:71-78 extent:8 https://doi.org/10.1016/j.theriogenology.2017.02.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-LING SSG-OPC-BBI 54.00 Informatik: Allgemeines VZ 53.71 Theoretische Nachrichtentechnik VZ AR 94 2017 71-78 8 045F 590 |
| spelling |
10.1016/j.theriogenology.2017.02.010 doi GBVA2017001000005.pica (DE-627)ELV019950233 (ELSEVIER)S0093-691X(17)30078-X DE-627 ger DE-627 rakwb eng 590 590 DE-600 070 004 VZ LING DE-30 fid 54.00 bkl 53.71 bkl Green, Michelle L. verfasserin aut Reproductive characteristics of female white-tailed deer (Odocoileus virginianus) in the Midwestern USA 2017transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Knowledge of reproductive characteristics of wild populations is necessary to inform responsible management decisions that promote herd health. As management, goals, and free-ranging populations change over time and landscapes, updated knowledge of reproductive characteristics are needed to inform responsible management practices. We estimated reproductive characteristics of female white-tailed deer in Illinois, including pregnancy rate, litter size, fetal growth and fetal sex ratio. We found maternal age to have an important influence on several reproductive factors. Approximately 66% of tested females (n = 3884) were pregnant and pregnancy rates increased with increasing maternal age, from 20.5% in fawns to 85.8% in adult deer. Litter size ranged from 1 to 5 fetuses per pregnant female. The average litter size was 1.9 ± 0.54 fetuses per pregnant female and also increased with age, from 1.2 in fawns to 2.0 in adults, respectively. Breeding season peaked in November with the mean estimated conception dates of fetuses varying with maternal age. Fawns conceived fetuses later in the breeding season (December 2) compared to yearlings and adults (November 11 and 8, respectively). We measured the body mass index (BMI) of all fetuses and found that litter size and female age influence fetal size. We found no bias in fetal sex ratio (average 1.0:1.0, male:female) but we observed a sex bias in fetal size (mean BMI male = 0.71, female 0.67) across all maternal age classes. A comparison of the current study and previous reports indicate that variation in maternal age within a population is an important driver of reproductive metrics, likely because maternal age and body size or condition are related. Furthermore, variation in resource availability will influence reproductive rates, especially among fawn females. Knowledge of reproductive characteristics of wild populations is necessary to inform responsible management decisions that promote herd health. As management, goals, and free-ranging populations change over time and landscapes, updated knowledge of reproductive characteristics are needed to inform responsible management practices. We estimated reproductive characteristics of female white-tailed deer in Illinois, including pregnancy rate, litter size, fetal growth and fetal sex ratio. We found maternal age to have an important influence on several reproductive factors. Approximately 66% of tested females (n = 3884) were pregnant and pregnancy rates increased with increasing maternal age, from 20.5% in fawns to 85.8% in adult deer. Litter size ranged from 1 to 5 fetuses per pregnant female. The average litter size was 1.9 ± 0.54 fetuses per pregnant female and also increased with age, from 1.2 in fawns to 2.0 in adults, respectively. Breeding season peaked in November with the mean estimated conception dates of fetuses varying with maternal age. Fawns conceived fetuses later in the breeding season (December 2) compared to yearlings and adults (November 11 and 8, respectively). We measured the body mass index (BMI) of all fetuses and found that litter size and female age influence fetal size. We found no bias in fetal sex ratio (average 1.0:1.0, male:female) but we observed a sex bias in fetal size (mean BMI male = 0.71, female 0.67) across all maternal age classes. A comparison of the current study and previous reports indicate that variation in maternal age within a population is an important driver of reproductive metrics, likely because maternal age and body size or condition are related. Furthermore, variation in resource availability will influence reproductive rates, especially among fawn females. Pregnancy Elsevier Sex ratio Elsevier Female reproduction Elsevier Maternal age Elsevier Fetus Elsevier Cervidae Elsevier Kelly, Amy C. oth Satterthwaite-Phillips, Damian oth Manjerovic, Mary Beth oth Shelton, Paul oth Novakofski, Jan oth Mateus-Pinilla, Nohra oth Enthalten in Elsevier Science Chen, Anyi ELSEVIER Multi-source monitoring information fusion method for dam health diagnosis based on Wasserstein distance 2023 an international journal of animal reproduction Amsterdam [u.a.] (DE-627)ELV009476539 volume:94 year:2017 pages:71-78 extent:8 https://doi.org/10.1016/j.theriogenology.2017.02.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-LING SSG-OPC-BBI 54.00 Informatik: Allgemeines VZ 53.71 Theoretische Nachrichtentechnik VZ AR 94 2017 71-78 8 045F 590 |
| allfields_unstemmed |
10.1016/j.theriogenology.2017.02.010 doi GBVA2017001000005.pica (DE-627)ELV019950233 (ELSEVIER)S0093-691X(17)30078-X DE-627 ger DE-627 rakwb eng 590 590 DE-600 070 004 VZ LING DE-30 fid 54.00 bkl 53.71 bkl Green, Michelle L. verfasserin aut Reproductive characteristics of female white-tailed deer (Odocoileus virginianus) in the Midwestern USA 2017transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Knowledge of reproductive characteristics of wild populations is necessary to inform responsible management decisions that promote herd health. As management, goals, and free-ranging populations change over time and landscapes, updated knowledge of reproductive characteristics are needed to inform responsible management practices. We estimated reproductive characteristics of female white-tailed deer in Illinois, including pregnancy rate, litter size, fetal growth and fetal sex ratio. We found maternal age to have an important influence on several reproductive factors. Approximately 66% of tested females (n = 3884) were pregnant and pregnancy rates increased with increasing maternal age, from 20.5% in fawns to 85.8% in adult deer. Litter size ranged from 1 to 5 fetuses per pregnant female. The average litter size was 1.9 ± 0.54 fetuses per pregnant female and also increased with age, from 1.2 in fawns to 2.0 in adults, respectively. Breeding season peaked in November with the mean estimated conception dates of fetuses varying with maternal age. Fawns conceived fetuses later in the breeding season (December 2) compared to yearlings and adults (November 11 and 8, respectively). We measured the body mass index (BMI) of all fetuses and found that litter size and female age influence fetal size. We found no bias in fetal sex ratio (average 1.0:1.0, male:female) but we observed a sex bias in fetal size (mean BMI male = 0.71, female 0.67) across all maternal age classes. A comparison of the current study and previous reports indicate that variation in maternal age within a population is an important driver of reproductive metrics, likely because maternal age and body size or condition are related. Furthermore, variation in resource availability will influence reproductive rates, especially among fawn females. Knowledge of reproductive characteristics of wild populations is necessary to inform responsible management decisions that promote herd health. As management, goals, and free-ranging populations change over time and landscapes, updated knowledge of reproductive characteristics are needed to inform responsible management practices. We estimated reproductive characteristics of female white-tailed deer in Illinois, including pregnancy rate, litter size, fetal growth and fetal sex ratio. We found maternal age to have an important influence on several reproductive factors. Approximately 66% of tested females (n = 3884) were pregnant and pregnancy rates increased with increasing maternal age, from 20.5% in fawns to 85.8% in adult deer. Litter size ranged from 1 to 5 fetuses per pregnant female. The average litter size was 1.9 ± 0.54 fetuses per pregnant female and also increased with age, from 1.2 in fawns to 2.0 in adults, respectively. Breeding season peaked in November with the mean estimated conception dates of fetuses varying with maternal age. Fawns conceived fetuses later in the breeding season (December 2) compared to yearlings and adults (November 11 and 8, respectively). We measured the body mass index (BMI) of all fetuses and found that litter size and female age influence fetal size. We found no bias in fetal sex ratio (average 1.0:1.0, male:female) but we observed a sex bias in fetal size (mean BMI male = 0.71, female 0.67) across all maternal age classes. A comparison of the current study and previous reports indicate that variation in maternal age within a population is an important driver of reproductive metrics, likely because maternal age and body size or condition are related. Furthermore, variation in resource availability will influence reproductive rates, especially among fawn females. Pregnancy Elsevier Sex ratio Elsevier Female reproduction Elsevier Maternal age Elsevier Fetus Elsevier Cervidae Elsevier Kelly, Amy C. oth Satterthwaite-Phillips, Damian oth Manjerovic, Mary Beth oth Shelton, Paul oth Novakofski, Jan oth Mateus-Pinilla, Nohra oth Enthalten in Elsevier Science Chen, Anyi ELSEVIER Multi-source monitoring information fusion method for dam health diagnosis based on Wasserstein distance 2023 an international journal of animal reproduction Amsterdam [u.a.] (DE-627)ELV009476539 volume:94 year:2017 pages:71-78 extent:8 https://doi.org/10.1016/j.theriogenology.2017.02.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-LING SSG-OPC-BBI 54.00 Informatik: Allgemeines VZ 53.71 Theoretische Nachrichtentechnik VZ AR 94 2017 71-78 8 045F 590 |
| allfieldsGer |
10.1016/j.theriogenology.2017.02.010 doi GBVA2017001000005.pica (DE-627)ELV019950233 (ELSEVIER)S0093-691X(17)30078-X DE-627 ger DE-627 rakwb eng 590 590 DE-600 070 004 VZ LING DE-30 fid 54.00 bkl 53.71 bkl Green, Michelle L. verfasserin aut Reproductive characteristics of female white-tailed deer (Odocoileus virginianus) in the Midwestern USA 2017transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Knowledge of reproductive characteristics of wild populations is necessary to inform responsible management decisions that promote herd health. As management, goals, and free-ranging populations change over time and landscapes, updated knowledge of reproductive characteristics are needed to inform responsible management practices. We estimated reproductive characteristics of female white-tailed deer in Illinois, including pregnancy rate, litter size, fetal growth and fetal sex ratio. We found maternal age to have an important influence on several reproductive factors. Approximately 66% of tested females (n = 3884) were pregnant and pregnancy rates increased with increasing maternal age, from 20.5% in fawns to 85.8% in adult deer. Litter size ranged from 1 to 5 fetuses per pregnant female. The average litter size was 1.9 ± 0.54 fetuses per pregnant female and also increased with age, from 1.2 in fawns to 2.0 in adults, respectively. Breeding season peaked in November with the mean estimated conception dates of fetuses varying with maternal age. Fawns conceived fetuses later in the breeding season (December 2) compared to yearlings and adults (November 11 and 8, respectively). We measured the body mass index (BMI) of all fetuses and found that litter size and female age influence fetal size. We found no bias in fetal sex ratio (average 1.0:1.0, male:female) but we observed a sex bias in fetal size (mean BMI male = 0.71, female 0.67) across all maternal age classes. A comparison of the current study and previous reports indicate that variation in maternal age within a population is an important driver of reproductive metrics, likely because maternal age and body size or condition are related. Furthermore, variation in resource availability will influence reproductive rates, especially among fawn females. Knowledge of reproductive characteristics of wild populations is necessary to inform responsible management decisions that promote herd health. As management, goals, and free-ranging populations change over time and landscapes, updated knowledge of reproductive characteristics are needed to inform responsible management practices. We estimated reproductive characteristics of female white-tailed deer in Illinois, including pregnancy rate, litter size, fetal growth and fetal sex ratio. We found maternal age to have an important influence on several reproductive factors. Approximately 66% of tested females (n = 3884) were pregnant and pregnancy rates increased with increasing maternal age, from 20.5% in fawns to 85.8% in adult deer. Litter size ranged from 1 to 5 fetuses per pregnant female. The average litter size was 1.9 ± 0.54 fetuses per pregnant female and also increased with age, from 1.2 in fawns to 2.0 in adults, respectively. Breeding season peaked in November with the mean estimated conception dates of fetuses varying with maternal age. Fawns conceived fetuses later in the breeding season (December 2) compared to yearlings and adults (November 11 and 8, respectively). We measured the body mass index (BMI) of all fetuses and found that litter size and female age influence fetal size. We found no bias in fetal sex ratio (average 1.0:1.0, male:female) but we observed a sex bias in fetal size (mean BMI male = 0.71, female 0.67) across all maternal age classes. A comparison of the current study and previous reports indicate that variation in maternal age within a population is an important driver of reproductive metrics, likely because maternal age and body size or condition are related. Furthermore, variation in resource availability will influence reproductive rates, especially among fawn females. Pregnancy Elsevier Sex ratio Elsevier Female reproduction Elsevier Maternal age Elsevier Fetus Elsevier Cervidae Elsevier Kelly, Amy C. oth Satterthwaite-Phillips, Damian oth Manjerovic, Mary Beth oth Shelton, Paul oth Novakofski, Jan oth Mateus-Pinilla, Nohra oth Enthalten in Elsevier Science Chen, Anyi ELSEVIER Multi-source monitoring information fusion method for dam health diagnosis based on Wasserstein distance 2023 an international journal of animal reproduction Amsterdam [u.a.] (DE-627)ELV009476539 volume:94 year:2017 pages:71-78 extent:8 https://doi.org/10.1016/j.theriogenology.2017.02.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-LING SSG-OPC-BBI 54.00 Informatik: Allgemeines VZ 53.71 Theoretische Nachrichtentechnik VZ AR 94 2017 71-78 8 045F 590 |
| allfieldsSound |
10.1016/j.theriogenology.2017.02.010 doi GBVA2017001000005.pica (DE-627)ELV019950233 (ELSEVIER)S0093-691X(17)30078-X DE-627 ger DE-627 rakwb eng 590 590 DE-600 070 004 VZ LING DE-30 fid 54.00 bkl 53.71 bkl Green, Michelle L. verfasserin aut Reproductive characteristics of female white-tailed deer (Odocoileus virginianus) in the Midwestern USA 2017transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Knowledge of reproductive characteristics of wild populations is necessary to inform responsible management decisions that promote herd health. As management, goals, and free-ranging populations change over time and landscapes, updated knowledge of reproductive characteristics are needed to inform responsible management practices. We estimated reproductive characteristics of female white-tailed deer in Illinois, including pregnancy rate, litter size, fetal growth and fetal sex ratio. We found maternal age to have an important influence on several reproductive factors. Approximately 66% of tested females (n = 3884) were pregnant and pregnancy rates increased with increasing maternal age, from 20.5% in fawns to 85.8% in adult deer. Litter size ranged from 1 to 5 fetuses per pregnant female. The average litter size was 1.9 ± 0.54 fetuses per pregnant female and also increased with age, from 1.2 in fawns to 2.0 in adults, respectively. Breeding season peaked in November with the mean estimated conception dates of fetuses varying with maternal age. Fawns conceived fetuses later in the breeding season (December 2) compared to yearlings and adults (November 11 and 8, respectively). We measured the body mass index (BMI) of all fetuses and found that litter size and female age influence fetal size. We found no bias in fetal sex ratio (average 1.0:1.0, male:female) but we observed a sex bias in fetal size (mean BMI male = 0.71, female 0.67) across all maternal age classes. A comparison of the current study and previous reports indicate that variation in maternal age within a population is an important driver of reproductive metrics, likely because maternal age and body size or condition are related. Furthermore, variation in resource availability will influence reproductive rates, especially among fawn females. Knowledge of reproductive characteristics of wild populations is necessary to inform responsible management decisions that promote herd health. As management, goals, and free-ranging populations change over time and landscapes, updated knowledge of reproductive characteristics are needed to inform responsible management practices. We estimated reproductive characteristics of female white-tailed deer in Illinois, including pregnancy rate, litter size, fetal growth and fetal sex ratio. We found maternal age to have an important influence on several reproductive factors. Approximately 66% of tested females (n = 3884) were pregnant and pregnancy rates increased with increasing maternal age, from 20.5% in fawns to 85.8% in adult deer. Litter size ranged from 1 to 5 fetuses per pregnant female. The average litter size was 1.9 ± 0.54 fetuses per pregnant female and also increased with age, from 1.2 in fawns to 2.0 in adults, respectively. Breeding season peaked in November with the mean estimated conception dates of fetuses varying with maternal age. Fawns conceived fetuses later in the breeding season (December 2) compared to yearlings and adults (November 11 and 8, respectively). We measured the body mass index (BMI) of all fetuses and found that litter size and female age influence fetal size. We found no bias in fetal sex ratio (average 1.0:1.0, male:female) but we observed a sex bias in fetal size (mean BMI male = 0.71, female 0.67) across all maternal age classes. A comparison of the current study and previous reports indicate that variation in maternal age within a population is an important driver of reproductive metrics, likely because maternal age and body size or condition are related. Furthermore, variation in resource availability will influence reproductive rates, especially among fawn females. Pregnancy Elsevier Sex ratio Elsevier Female reproduction Elsevier Maternal age Elsevier Fetus Elsevier Cervidae Elsevier Kelly, Amy C. oth Satterthwaite-Phillips, Damian oth Manjerovic, Mary Beth oth Shelton, Paul oth Novakofski, Jan oth Mateus-Pinilla, Nohra oth Enthalten in Elsevier Science Chen, Anyi ELSEVIER Multi-source monitoring information fusion method for dam health diagnosis based on Wasserstein distance 2023 an international journal of animal reproduction Amsterdam [u.a.] (DE-627)ELV009476539 volume:94 year:2017 pages:71-78 extent:8 https://doi.org/10.1016/j.theriogenology.2017.02.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-LING SSG-OPC-BBI 54.00 Informatik: Allgemeines VZ 53.71 Theoretische Nachrichtentechnik VZ AR 94 2017 71-78 8 045F 590 |
| language |
English |
| source |
Enthalten in Multi-source monitoring information fusion method for dam health diagnosis based on Wasserstein distance Amsterdam [u.a.] volume:94 year:2017 pages:71-78 extent:8 |
| sourceStr |
Enthalten in Multi-source monitoring information fusion method for dam health diagnosis based on Wasserstein distance Amsterdam [u.a.] volume:94 year:2017 pages:71-78 extent:8 |
| format_phy_str_mv |
Article |
| bklname |
Informatik: Allgemeines Theoretische Nachrichtentechnik |
| institution |
findex.gbv.de |
| topic_facet |
Pregnancy Sex ratio Female reproduction Maternal age Fetus Cervidae |
| dewey-raw |
590 |
| isfreeaccess_bool |
false |
| container_title |
Multi-source monitoring information fusion method for dam health diagnosis based on Wasserstein distance |
| authorswithroles_txt_mv |
Green, Michelle L. @@aut@@ Kelly, Amy C. @@oth@@ Satterthwaite-Phillips, Damian @@oth@@ Manjerovic, Mary Beth @@oth@@ Shelton, Paul @@oth@@ Novakofski, Jan @@oth@@ Mateus-Pinilla, Nohra @@oth@@ |
| publishDateDaySort_date |
2017-01-01T00:00:00Z |
| hierarchy_top_id |
ELV009476539 |
| dewey-sort |
3590 |
| id |
ELV019950233 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV019950233</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625131006.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2017 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.theriogenology.2017.02.010</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2017001000005.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV019950233</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0093-691X(17)30078-X</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">590</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">590</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">070</subfield><subfield code="a">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">LING</subfield><subfield code="q">DE-30</subfield><subfield code="2">fid</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">54.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">53.71</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Green, Michelle L.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Reproductive characteristics of female white-tailed deer (Odocoileus virginianus) in the Midwestern USA</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">8</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Knowledge of reproductive characteristics of wild populations is necessary to inform responsible management decisions that promote herd health. As management, goals, and free-ranging populations change over time and landscapes, updated knowledge of reproductive characteristics are needed to inform responsible management practices. We estimated reproductive characteristics of female white-tailed deer in Illinois, including pregnancy rate, litter size, fetal growth and fetal sex ratio. We found maternal age to have an important influence on several reproductive factors. Approximately 66% of tested females (n = 3884) were pregnant and pregnancy rates increased with increasing maternal age, from 20.5% in fawns to 85.8% in adult deer. Litter size ranged from 1 to 5 fetuses per pregnant female. The average litter size was 1.9 ± 0.54 fetuses per pregnant female and also increased with age, from 1.2 in fawns to 2.0 in adults, respectively. Breeding season peaked in November with the mean estimated conception dates of fetuses varying with maternal age. Fawns conceived fetuses later in the breeding season (December 2) compared to yearlings and adults (November 11 and 8, respectively). We measured the body mass index (BMI) of all fetuses and found that litter size and female age influence fetal size. We found no bias in fetal sex ratio (average 1.0:1.0, male:female) but we observed a sex bias in fetal size (mean BMI male = 0.71, female 0.67) across all maternal age classes. A comparison of the current study and previous reports indicate that variation in maternal age within a population is an important driver of reproductive metrics, likely because maternal age and body size or condition are related. Furthermore, variation in resource availability will influence reproductive rates, especially among fawn females.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Knowledge of reproductive characteristics of wild populations is necessary to inform responsible management decisions that promote herd health. As management, goals, and free-ranging populations change over time and landscapes, updated knowledge of reproductive characteristics are needed to inform responsible management practices. We estimated reproductive characteristics of female white-tailed deer in Illinois, including pregnancy rate, litter size, fetal growth and fetal sex ratio. We found maternal age to have an important influence on several reproductive factors. Approximately 66% of tested females (n = 3884) were pregnant and pregnancy rates increased with increasing maternal age, from 20.5% in fawns to 85.8% in adult deer. Litter size ranged from 1 to 5 fetuses per pregnant female. The average litter size was 1.9 ± 0.54 fetuses per pregnant female and also increased with age, from 1.2 in fawns to 2.0 in adults, respectively. Breeding season peaked in November with the mean estimated conception dates of fetuses varying with maternal age. Fawns conceived fetuses later in the breeding season (December 2) compared to yearlings and adults (November 11 and 8, respectively). We measured the body mass index (BMI) of all fetuses and found that litter size and female age influence fetal size. We found no bias in fetal sex ratio (average 1.0:1.0, male:female) but we observed a sex bias in fetal size (mean BMI male = 0.71, female 0.67) across all maternal age classes. A comparison of the current study and previous reports indicate that variation in maternal age within a population is an important driver of reproductive metrics, likely because maternal age and body size or condition are related. Furthermore, variation in resource availability will influence reproductive rates, especially among fawn females.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Pregnancy</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Sex ratio</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Female reproduction</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Maternal age</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Fetus</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Cervidae</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kelly, Amy C.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Satterthwaite-Phillips, Damian</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Manjerovic, Mary Beth</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shelton, Paul</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Novakofski, Jan</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mateus-Pinilla, Nohra</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Chen, Anyi ELSEVIER</subfield><subfield code="t">Multi-source monitoring information fusion method for dam health diagnosis based on Wasserstein distance</subfield><subfield code="d">2023</subfield><subfield code="d">an international journal of animal reproduction</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV009476539</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:94</subfield><subfield code="g">year:2017</subfield><subfield code="g">pages:71-78</subfield><subfield code="g">extent:8</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.theriogenology.2017.02.010</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-LING</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-BBI</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">54.00</subfield><subfield code="j">Informatik: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">53.71</subfield><subfield code="j">Theoretische Nachrichtentechnik</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">94</subfield><subfield code="j">2017</subfield><subfield code="h">71-78</subfield><subfield code="g">8</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">590</subfield></datafield></record></collection>
|
| author |
Green, Michelle L. |
| spellingShingle |
Green, Michelle L. ddc 590 ddc 070 fid LING bkl 54.00 bkl 53.71 Elsevier Pregnancy Elsevier Sex ratio Elsevier Female reproduction Elsevier Maternal age Elsevier Fetus Elsevier Cervidae Reproductive characteristics of female white-tailed deer (Odocoileus virginianus) in the Midwestern USA |
| authorStr |
Green, Michelle L. |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV009476539 |
| format |
electronic Article |
| dewey-ones |
590 - Animals (Zoology) 070 - News media, journalism & publishing 004 - Data processing & computer science |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
590 590 DE-600 070 004 VZ LING DE-30 fid 54.00 bkl 53.71 bkl Reproductive characteristics of female white-tailed deer (Odocoileus virginianus) in the Midwestern USA Pregnancy Elsevier Sex ratio Elsevier Female reproduction Elsevier Maternal age Elsevier Fetus Elsevier Cervidae Elsevier |
| topic |
ddc 590 ddc 070 fid LING bkl 54.00 bkl 53.71 Elsevier Pregnancy Elsevier Sex ratio Elsevier Female reproduction Elsevier Maternal age Elsevier Fetus Elsevier Cervidae |
| topic_unstemmed |
ddc 590 ddc 070 fid LING bkl 54.00 bkl 53.71 Elsevier Pregnancy Elsevier Sex ratio Elsevier Female reproduction Elsevier Maternal age Elsevier Fetus Elsevier Cervidae |
| topic_browse |
ddc 590 ddc 070 fid LING bkl 54.00 bkl 53.71 Elsevier Pregnancy Elsevier Sex ratio Elsevier Female reproduction Elsevier Maternal age Elsevier Fetus Elsevier Cervidae |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
a c k ac ack d s p dsp m b m mb mbm p s ps j n jn n m p nmp |
| hierarchy_parent_title |
Multi-source monitoring information fusion method for dam health diagnosis based on Wasserstein distance |
| hierarchy_parent_id |
ELV009476539 |
| dewey-tens |
590 - Animals (Zoology) 070 - News media, journalism & publishing 000 - Computer science, knowledge & systems |
| hierarchy_top_title |
Multi-source monitoring information fusion method for dam health diagnosis based on Wasserstein distance |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV009476539 |
| title |
Reproductive characteristics of female white-tailed deer (Odocoileus virginianus) in the Midwestern USA |
| ctrlnum |
(DE-627)ELV019950233 (ELSEVIER)S0093-691X(17)30078-X |
| title_full |
Reproductive characteristics of female white-tailed deer (Odocoileus virginianus) in the Midwestern USA |
| author_sort |
Green, Michelle L. |
| journal |
Multi-source monitoring information fusion method for dam health diagnosis based on Wasserstein distance |
| journalStr |
Multi-source monitoring information fusion method for dam health diagnosis based on Wasserstein distance |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
500 - Science 000 - Computer science, information & general works |
| recordtype |
marc |
| publishDateSort |
2017 |
| contenttype_str_mv |
zzz |
| container_start_page |
71 |
| author_browse |
Green, Michelle L. |
| container_volume |
94 |
| physical |
8 |
| class |
590 590 DE-600 070 004 VZ LING DE-30 fid 54.00 bkl 53.71 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Green, Michelle L. |
| doi_str_mv |
10.1016/j.theriogenology.2017.02.010 |
| dewey-full |
590 070 004 |
| title_sort |
reproductive characteristics of female white-tailed deer (odocoileus virginianus) in the midwestern usa |
| title_auth |
Reproductive characteristics of female white-tailed deer (Odocoileus virginianus) in the Midwestern USA |
| abstract |
Knowledge of reproductive characteristics of wild populations is necessary to inform responsible management decisions that promote herd health. As management, goals, and free-ranging populations change over time and landscapes, updated knowledge of reproductive characteristics are needed to inform responsible management practices. We estimated reproductive characteristics of female white-tailed deer in Illinois, including pregnancy rate, litter size, fetal growth and fetal sex ratio. We found maternal age to have an important influence on several reproductive factors. Approximately 66% of tested females (n = 3884) were pregnant and pregnancy rates increased with increasing maternal age, from 20.5% in fawns to 85.8% in adult deer. Litter size ranged from 1 to 5 fetuses per pregnant female. The average litter size was 1.9 ± 0.54 fetuses per pregnant female and also increased with age, from 1.2 in fawns to 2.0 in adults, respectively. Breeding season peaked in November with the mean estimated conception dates of fetuses varying with maternal age. Fawns conceived fetuses later in the breeding season (December 2) compared to yearlings and adults (November 11 and 8, respectively). We measured the body mass index (BMI) of all fetuses and found that litter size and female age influence fetal size. We found no bias in fetal sex ratio (average 1.0:1.0, male:female) but we observed a sex bias in fetal size (mean BMI male = 0.71, female 0.67) across all maternal age classes. A comparison of the current study and previous reports indicate that variation in maternal age within a population is an important driver of reproductive metrics, likely because maternal age and body size or condition are related. Furthermore, variation in resource availability will influence reproductive rates, especially among fawn females. |
| abstractGer |
Knowledge of reproductive characteristics of wild populations is necessary to inform responsible management decisions that promote herd health. As management, goals, and free-ranging populations change over time and landscapes, updated knowledge of reproductive characteristics are needed to inform responsible management practices. We estimated reproductive characteristics of female white-tailed deer in Illinois, including pregnancy rate, litter size, fetal growth and fetal sex ratio. We found maternal age to have an important influence on several reproductive factors. Approximately 66% of tested females (n = 3884) were pregnant and pregnancy rates increased with increasing maternal age, from 20.5% in fawns to 85.8% in adult deer. Litter size ranged from 1 to 5 fetuses per pregnant female. The average litter size was 1.9 ± 0.54 fetuses per pregnant female and also increased with age, from 1.2 in fawns to 2.0 in adults, respectively. Breeding season peaked in November with the mean estimated conception dates of fetuses varying with maternal age. Fawns conceived fetuses later in the breeding season (December 2) compared to yearlings and adults (November 11 and 8, respectively). We measured the body mass index (BMI) of all fetuses and found that litter size and female age influence fetal size. We found no bias in fetal sex ratio (average 1.0:1.0, male:female) but we observed a sex bias in fetal size (mean BMI male = 0.71, female 0.67) across all maternal age classes. A comparison of the current study and previous reports indicate that variation in maternal age within a population is an important driver of reproductive metrics, likely because maternal age and body size or condition are related. Furthermore, variation in resource availability will influence reproductive rates, especially among fawn females. |
| abstract_unstemmed |
Knowledge of reproductive characteristics of wild populations is necessary to inform responsible management decisions that promote herd health. As management, goals, and free-ranging populations change over time and landscapes, updated knowledge of reproductive characteristics are needed to inform responsible management practices. We estimated reproductive characteristics of female white-tailed deer in Illinois, including pregnancy rate, litter size, fetal growth and fetal sex ratio. We found maternal age to have an important influence on several reproductive factors. Approximately 66% of tested females (n = 3884) were pregnant and pregnancy rates increased with increasing maternal age, from 20.5% in fawns to 85.8% in adult deer. Litter size ranged from 1 to 5 fetuses per pregnant female. The average litter size was 1.9 ± 0.54 fetuses per pregnant female and also increased with age, from 1.2 in fawns to 2.0 in adults, respectively. Breeding season peaked in November with the mean estimated conception dates of fetuses varying with maternal age. Fawns conceived fetuses later in the breeding season (December 2) compared to yearlings and adults (November 11 and 8, respectively). We measured the body mass index (BMI) of all fetuses and found that litter size and female age influence fetal size. We found no bias in fetal sex ratio (average 1.0:1.0, male:female) but we observed a sex bias in fetal size (mean BMI male = 0.71, female 0.67) across all maternal age classes. A comparison of the current study and previous reports indicate that variation in maternal age within a population is an important driver of reproductive metrics, likely because maternal age and body size or condition are related. Furthermore, variation in resource availability will influence reproductive rates, especially among fawn females. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-LING SSG-OPC-BBI |
| title_short |
Reproductive characteristics of female white-tailed deer (Odocoileus virginianus) in the Midwestern USA |
| url |
https://doi.org/10.1016/j.theriogenology.2017.02.010 |
| remote_bool |
true |
| author2 |
Kelly, Amy C. Satterthwaite-Phillips, Damian Manjerovic, Mary Beth Shelton, Paul Novakofski, Jan Mateus-Pinilla, Nohra |
| author2Str |
Kelly, Amy C. Satterthwaite-Phillips, Damian Manjerovic, Mary Beth Shelton, Paul Novakofski, Jan Mateus-Pinilla, Nohra |
| ppnlink |
ELV009476539 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth oth oth oth |
| doi_str |
10.1016/j.theriogenology.2017.02.010 |
| up_date |
2024-07-06T22:49:23.794Z |
| _version_ |
1803871756008554496 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV019950233</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625131006.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2017 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.theriogenology.2017.02.010</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2017001000005.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV019950233</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0093-691X(17)30078-X</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">590</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">590</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">070</subfield><subfield code="a">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">LING</subfield><subfield code="q">DE-30</subfield><subfield code="2">fid</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">54.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">53.71</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Green, Michelle L.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Reproductive characteristics of female white-tailed deer (Odocoileus virginianus) in the Midwestern USA</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">8</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Knowledge of reproductive characteristics of wild populations is necessary to inform responsible management decisions that promote herd health. As management, goals, and free-ranging populations change over time and landscapes, updated knowledge of reproductive characteristics are needed to inform responsible management practices. We estimated reproductive characteristics of female white-tailed deer in Illinois, including pregnancy rate, litter size, fetal growth and fetal sex ratio. We found maternal age to have an important influence on several reproductive factors. Approximately 66% of tested females (n = 3884) were pregnant and pregnancy rates increased with increasing maternal age, from 20.5% in fawns to 85.8% in adult deer. Litter size ranged from 1 to 5 fetuses per pregnant female. The average litter size was 1.9 ± 0.54 fetuses per pregnant female and also increased with age, from 1.2 in fawns to 2.0 in adults, respectively. Breeding season peaked in November with the mean estimated conception dates of fetuses varying with maternal age. Fawns conceived fetuses later in the breeding season (December 2) compared to yearlings and adults (November 11 and 8, respectively). We measured the body mass index (BMI) of all fetuses and found that litter size and female age influence fetal size. We found no bias in fetal sex ratio (average 1.0:1.0, male:female) but we observed a sex bias in fetal size (mean BMI male = 0.71, female 0.67) across all maternal age classes. A comparison of the current study and previous reports indicate that variation in maternal age within a population is an important driver of reproductive metrics, likely because maternal age and body size or condition are related. Furthermore, variation in resource availability will influence reproductive rates, especially among fawn females.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Knowledge of reproductive characteristics of wild populations is necessary to inform responsible management decisions that promote herd health. As management, goals, and free-ranging populations change over time and landscapes, updated knowledge of reproductive characteristics are needed to inform responsible management practices. We estimated reproductive characteristics of female white-tailed deer in Illinois, including pregnancy rate, litter size, fetal growth and fetal sex ratio. We found maternal age to have an important influence on several reproductive factors. Approximately 66% of tested females (n = 3884) were pregnant and pregnancy rates increased with increasing maternal age, from 20.5% in fawns to 85.8% in adult deer. Litter size ranged from 1 to 5 fetuses per pregnant female. The average litter size was 1.9 ± 0.54 fetuses per pregnant female and also increased with age, from 1.2 in fawns to 2.0 in adults, respectively. Breeding season peaked in November with the mean estimated conception dates of fetuses varying with maternal age. Fawns conceived fetuses later in the breeding season (December 2) compared to yearlings and adults (November 11 and 8, respectively). We measured the body mass index (BMI) of all fetuses and found that litter size and female age influence fetal size. We found no bias in fetal sex ratio (average 1.0:1.0, male:female) but we observed a sex bias in fetal size (mean BMI male = 0.71, female 0.67) across all maternal age classes. A comparison of the current study and previous reports indicate that variation in maternal age within a population is an important driver of reproductive metrics, likely because maternal age and body size or condition are related. Furthermore, variation in resource availability will influence reproductive rates, especially among fawn females.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Pregnancy</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Sex ratio</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Female reproduction</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Maternal age</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Fetus</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Cervidae</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kelly, Amy C.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Satterthwaite-Phillips, Damian</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Manjerovic, Mary Beth</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shelton, Paul</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Novakofski, Jan</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mateus-Pinilla, Nohra</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Chen, Anyi ELSEVIER</subfield><subfield code="t">Multi-source monitoring information fusion method for dam health diagnosis based on Wasserstein distance</subfield><subfield code="d">2023</subfield><subfield code="d">an international journal of animal reproduction</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV009476539</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:94</subfield><subfield code="g">year:2017</subfield><subfield code="g">pages:71-78</subfield><subfield code="g">extent:8</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.theriogenology.2017.02.010</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-LING</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-BBI</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">54.00</subfield><subfield code="j">Informatik: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">53.71</subfield><subfield code="j">Theoretische Nachrichtentechnik</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">94</subfield><subfield code="j">2017</subfield><subfield code="h">71-78</subfield><subfield code="g">8</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">590</subfield></datafield></record></collection>
|
| score |
7.4007425 |