Factors that affect the success of artificial insemination in cattle of small farmers in one region in Chile: Factores que afectan la inseminación artificial en ganado bovino de pequeños productores en Chile
This study analyzes different factors that affect the success of artificial insemination (AI) of cows of small farmers inserted in a program of productive and genetic improvement in one region in Chile. The success of AI was modeled as a function of different biological, environmental and social fa...
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| Formato: | Online |
| Lenguaje: | eng |
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Facultad de Ciencias Agrarias-UNCuyo
2020
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| Acceso en línea: | https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/2519 |
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I11-R107article-2519 |
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Universidad Nacional de Cuyo |
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Revistas en línea |
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Revistas en línea |
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Revista de la Facultad de Ciencias Agrarias |
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Revista de la Facultad de Ciencias Agrarias |
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I-11 |
| repository_str |
R-107 |
| language |
eng |
| format |
Online |
| author |
Müller Sepúlveda, Andrea Foerster, Claudia Arriagada, Gabriel Silva, Juan Ortiz, Marlene |
| spellingShingle |
Müller Sepúlveda, Andrea Foerster, Claudia Arriagada, Gabriel Silva, Juan Ortiz, Marlene Factors that affect the success of artificial insemination in cattle of small farmers in one region in Chile: Factores que afectan la inseminación artificial en ganado bovino de pequeños productores en Chile Programa de mejoramiento animal pequeños ganaderos tecnologías reproductivas América del Sur Animal improvement program small-scale livestock farmers reproductive technologies South America |
| author_facet |
Müller Sepúlveda, Andrea Foerster, Claudia Arriagada, Gabriel Silva, Juan Ortiz, Marlene |
| author_sort |
Müller Sepúlveda, Andrea |
| title |
Factors that affect the success of artificial insemination in cattle of small farmers in one region in Chile: Factores que afectan la inseminación artificial en ganado bovino de pequeños productores en Chile |
| title_short |
Factors that affect the success of artificial insemination in cattle of small farmers in one region in Chile: Factores que afectan la inseminación artificial en ganado bovino de pequeños productores en Chile |
| title_full |
Factors that affect the success of artificial insemination in cattle of small farmers in one region in Chile: Factores que afectan la inseminación artificial en ganado bovino de pequeños productores en Chile |
| title_fullStr |
Factors that affect the success of artificial insemination in cattle of small farmers in one region in Chile: Factores que afectan la inseminación artificial en ganado bovino de pequeños productores en Chile |
| title_full_unstemmed |
Factors that affect the success of artificial insemination in cattle of small farmers in one region in Chile: Factores que afectan la inseminación artificial en ganado bovino de pequeños productores en Chile |
| title_sort |
factors that affect the success of artificial insemination in cattle of small farmers in one region in chile: factors affecting artificial insemination in smallholder cattle in chile |
| description |
This study analyzes different factors that affect the success of artificial insemination (AI) of cows of small farmers inserted in a program of productive and genetic improvement in one region in Chile. The success of AI was modeled as a function of different biological, environmental and social factors recorded by the program, using logistic regression. The outcome for this model was the gestational status of the inseminated cow, diagnosed by ultrasound as non-pregnant or pregnant. Predictors of interest were: smallholder's gender, province where the smallholder was located, smallholder's number of cows, inseminator's years of experience, insemination type (estrus detected or at fixed time), cow's age in years, cow's body condition, cow's ordinal number of births, cow's biotype (dairy or beef) and bull's biotype (dairy or beef). All predictors were evaluated for unconditional associations with the outcome (gestational status). When analyzing the results, the province, the number of cows the owner had, the experience of inseminators and the type of insemination were associated with the success of pregnancy. It is important to stimulate the implementation of these types of programs to help contribute to the improvement of the livelihood of small farmers who depend on low-input systems.
Highlights
Program of Productive and Genetic Improvement of the Cattle of the O'Higgins Region in Central Chile
Artificial insemination success modeled as a function of different biological, environmental, and social factors recorded by the program using logistic regression
The model output was the gestational status of the inseminated cows as diagnosed by ultrasound.
All predictors were evaluated for unconditional associations with the outcome.
The province, the number of cows in the herd, the experience of the inseminators, and the type of insemination were associated with the success of the pregnancy.
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| publisher |
Facultad de Ciencias Agrarias-UNCuyo |
| publishDate |
2020 |
| url |
https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/2519 |
| topic |
Programa de mejoramiento animal pequeños ganaderos tecnologías reproductivas América del Sur Animal improvement program small-scale livestock farmers reproductive technologies South America |
| topic_facet |
Programa de mejoramiento animal pequeños ganaderos tecnologías reproductivas América del Sur Animal improvement program small-scale livestock farmers reproductive technologies South America |
| work_keys_str_mv |
AT mullersepulvedaandrea factorsthataffectthesuccessofartificialinseminationincattleofsmallfarmersinoneregioninchilefactorsaffectingartificialinseminationinsmallholdercattleinchile AT foersterclaudia factorsthataffectthesuccessofartificialinseminationincattleofsmallfarmersinoneregioninchilefactorsaffectingartificialinseminationinsmallholdercattleinchile AT arriagadagabriel factorsthataffectthesuccessofartificialinseminationincattleofsmallfarmersinoneregioninchilefactorsaffectingartificialinseminationinsmallholdercattleinchile AT silvajuan factorsthataffectthesuccessofartificialinseminationincattleofsmallfarmersinoneregioninchilefactorsaffectingartificialinseminationinsmallholdercattleinchile AT ortizmarlene factorsthataffectthesuccessofartificialinseminationincattleofsmallfarmersinoneregioninchilefactorsaffectingartificialinseminationinsmallholdercattleinchile AT mullersepulvedaandrea factorsthataffectthesuccessofartificialinseminationincattleofsmallfarmersinoneregioninchilefactoresqueafectanlainseminacionartificialenganadobovinodepequenosproductoresenchile AT foersterclaudia factorsthataffectthesuccessofartificialinseminationincattleofsmallfarmersinoneregioninchilefactoresqueafectanlainseminacionartificialenganadobovinodepequenosproductoresenchile AT arriagadagabriel factorsthataffectthesuccessofartificialinseminationincattleofsmallfarmersinoneregioninchilefactoresqueafectanlainseminacionartificialenganadobovinodepequenosproductoresenchile AT silvajuan factorsthataffectthesuccessofartificialinseminationincattleofsmallfarmersinoneregioninchilefactoresqueafectanlainseminacionartificialenganadobovinodepequenosproductoresenchile AT ortizmarlene factorsthataffectthesuccessofartificialinseminationincattleofsmallfarmersinoneregioninchilefactoresqueafectanlainseminacionartificialenganadobovinodepequenosproductoresenchile |
| _version_ |
1800220878241267712 |
| spelling |
I11-R107article-25192020-12-04T21:59:31Z Factors that affect the success of artificial insemination in cattle of small farmers in one region in Chile: Factors affecting artificial insemination in smallholder cattle in Chile Factors that affect the success of artificial insemination in cattle of small farmers in one region in Chile: Factores que afectan la inseminación artificial en ganado bovino de pequeños productores en Chile Müller Sepúlveda, Andrea Foerster, Claudia Arriagada, Gabriel Silva, Juan Ortiz, Marlene Programa de mejoramiento animal pequeños ganaderos tecnologías reproductivas América del Sur Animal improvement program small-scale livestock farmers reproductive technologies South America This study analyzes different factors that affect the success of artificial insemination (AI) of cows of small farmers inserted in a program of productive and genetic improvement in one region in Chile. The success of AI was modeled as a function of different biological, environmental and social factors recorded by the program, using logistic regression. The outcome for this model was the gestational status of the inseminated cow, diagnosed by ultrasound as non-pregnant or pregnant. Predictors of interest were: smallholder's gender, province where the smallholder was located, smallholder's number of cows, inseminator's years of experience, insemination type (estrus detected or at fixed time), cow's age in years, cow's body condition, cow's ordinal number of births, cow's biotype (dairy or beef) and bull's biotype (dairy or beef). All predictors were evaluated for unconditional associations with the outcome (gestational status). When analyzing the results, the province, the number of cows the owner had, the experience of inseminators and the type of insemination were associated with the success of pregnancy. It is important to stimulate the implementation of these types of programs to help contribute to the improvement of the livelihood of small farmers who depend on low-input systems. Highlights Program of Productive and Genetic Improvement of the Cattle of the O'Higgins Region in Central Chile Artificial insemination success modeled as a function of different biological, environmental, and social factors recorded by the program using logistic regression The model output was the gestational status of the inseminated cows as diagnosed by ultrasound. All predictors were evaluated for unconditional associations with the outcome. The province, the number of cows in the herd, the experience of the inseminators, and the type of insemination were associated with the success of the pregnancy. This study analyzes different factors that affect the success of artificial insemination (AI) of cows of small farmers inserted in a program of productive and genetic improvement in one region in Chile. The success of AI was modeled as a function of different biological, environmental and social factors recorded by the program, using logistic regression. The outcome for this model was the gestational status of the inseminated cow, diagnosed by ultrasound as non-pregnant or pregnant. Predictors of interest were: smallholder's gender, province where the smallholder was located, smallholder's number of cows, inseminator's years of experience, insemination type (estrus detected or at fixed time), cow's age in years, cow's body condition, cow's ordinal number of births, cow's biotype (dairy or beef) and bull's biotype (dairy or beef). All predictors were evaluated for unconditional associations with the outcome (gestational status). When analyzing the results, the province, the number of cows the owner had, the experience of inseminators and the type of insemination were associated with the success of pregnancy. It is important to stimulate the implementation of these types of programs to help contribute to the improvement of the livelihood of small farmers who depend on low-input systems. Highlights Program of Productive and Genetic Improvement of the Cattle of the O'Higgins Region in Central Chile Artificial insemination success modeled as a function of different biological, environmental, and social factors recorded by the program using logistic regression The model output was the gestational status of the inseminated cows as diagnosed by ultrasound. All predictors were evaluated for unconditional associations with the outcome. The province, the number of cows in the herd, the experience of the inseminators, and the type of insemination were associated with the success of the pregnancy. Facultad de Ciencias Agrarias-UNCuyo 2020-12-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/2519 Revista de la Facultad de Ciencias Agrarias UNCuyo; Vol. 52 No. 2 (2020): June-December; 376-388 Revista de la Facultad de Ciencias Agrarias UNCuyo; Vol. 52 Núm. 2 (2020): Julio-Diciembre; 376-388 1853-8665 0370-4661 eng https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/2519/2822 |
