Predictions of Daily Milk and Fat Yields, Major Groups of Fatty Acids, and C18:1 cis-9 from Single Milking Data without a Milking Interval
Identifieur interne : 000125 ( Main/Merge ); précédent : 000124; suivant : 000126Predictions of Daily Milk and Fat Yields, Major Groups of Fatty Acids, and C18:1 cis-9 from Single Milking Data without a Milking Interval
Auteurs : Valérie M. R. Arnould ; Romain Reding ; Jeanne Bormann ; Nicolas Gengler ; Hélène Soyeurt [Belgique]Source :
- Animals : an Open Access Journal from MDPI [ 2076-2615 ] ; 2015.
Abstract
Reducing the frequency of milk recording decreases the costs of official milk recording. However, this approach can negatively affect the accuracy of predicting daily yields. Equations to predict daily yield from morning or evening data were developed in this study for fatty milk components from traits recorded easily by milk recording organizations. The correlation values ranged from 96.4% to 97.6% (96.9% to 98.3%) when the daily yields were estimated from the morning (evening) milkings. The simplicity of the proposed models which do not include the milking interval should facilitate their use by breeding and milk recording organizations.
Reducing the frequency of milk recording would help reduce the costs of official milk recording. However, this approach could also negatively affect the accuracy of predicting daily yields. This problem has been investigated in numerous studies. In addition, published equations take into account milking intervals (MI), and these are often not available and/or are unreliable in practice. The first objective of this study was to propose models in which the MI was replaced by a combination of data easily recorded by dairy farmers. The second objective was to further investigate the fatty acids (FA) present in milk. Equations to predict daily yield from AM or PM data were based on a calibration database containing 79,971 records related to 51 traits [milk yield (expected AM, expected PM, and expected daily); fat content (expected AM, expected PM, and expected daily); fat yield (expected AM, expected PM, and expected daily; g/day); levels of seven different FAs or FA groups (expected AM, expected PM, and expected daily; g/dL milk), and the corresponding FA yields for these seven FA types/groups (expected AM, expected PM, and expected daily; g/day)]. These equations were validated using two distinct external datasets. The results obtained from the proposed models were compared to previously published results for models which included a MI effect. The corresponding correlation values ranged from 96.4% to 97.6% when the daily yields were estimated from the AM milkings and ranged from 96.9% to 98.3% when the daily yields were estimated from the PM milkings. The simplicity of these proposed models should facilitate their use by breeding and milk recording organizations.
Url:
DOI: 10.3390/ani5030377
PubMed: 26479379
PubMed Central: 4598699
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Predictions of Daily Milk and Fat Yields, Major Groups of Fatty Acids, and C18:1 <italic>cis</italic>-9 from Single Milking Data without a Milking Interval</title><author><name sortKey="Arnould, Valerie M R" sort="Arnould, Valerie M R" uniqKey="Arnould V" first="Valérie M. R." last="Arnould">Valérie M. R. Arnould</name><affiliation><nlm:aff id="af1-animals-05-00377">CONVIS s.c., Zone Artisanale et Commerciale, 4, Ettelbruck, L-9085, Luxembourg; E-Mails:<email>valerie.arnould@convis.lu</email> (V.M.R.A.);<email>romain.reding@convis.lu</email> (R.R.)</nlm:aff></affiliation><affiliation><nlm:aff id="af2-animals-05-00377">Gembloux Agro Bio-Tech, Agriculture, Bio-engineering and Chemistry Department Animal Science and Nutrition Unit, University of Liège, Passage des Déportés 2, Gembloux B-5030, Belgium; E-Mail:<email>nicolas.gengler@ulg.ac.be</email></nlm:aff></affiliation></author><author><name sortKey="Reding, Romain" sort="Reding, Romain" uniqKey="Reding R" first="Romain" last="Reding">Romain Reding</name><affiliation><nlm:aff id="af1-animals-05-00377">CONVIS s.c., Zone Artisanale et Commerciale, 4, Ettelbruck, L-9085, Luxembourg; E-Mails:<email>valerie.arnould@convis.lu</email> (V.M.R.A.);<email>romain.reding@convis.lu</email> (R.R.)</nlm:aff></affiliation></author><author><name sortKey="Bormann, Jeanne" sort="Bormann, Jeanne" uniqKey="Bormann J" first="Jeanne" last="Bormann">Jeanne Bormann</name><affiliation><nlm:aff id="af3-animals-05-00377">Administration des Services Techniques de l'Agriculture ASTA, Luxembourg L-1019, Luxembourg; E-Mail:<email>jeanne.bormann@asta.etat.lu</email></nlm:aff></affiliation></author><author><name sortKey="Gengler, Nicolas" sort="Gengler, Nicolas" uniqKey="Gengler N" first="Nicolas" last="Gengler">Nicolas Gengler</name><affiliation><nlm:aff id="af2-animals-05-00377">Gembloux Agro Bio-Tech, Agriculture, Bio-engineering and Chemistry Department Animal Science and Nutrition Unit, University of Liège, Passage des Déportés 2, Gembloux B-5030, Belgium; E-Mail:<email>nicolas.gengler@ulg.ac.be</email></nlm:aff></affiliation></author><author><name sortKey="Soyeurt, Helene" sort="Soyeurt, Helene" uniqKey="Soyeurt H" first="Hélène" last="Soyeurt">Hélène Soyeurt</name><affiliation wicri:level="1"><nlm:aff id="af4-animals-05-00377">Gembloux Agro Bio-Tech, Department of Agricultural Science, Statistics, Informatics, and Applied Modeling Unit, University of Liège, Passage des Déportés 2, Gembloux B-5030, Belgium</nlm:aff><country xml:lang="fr">Belgique</country><wicri:regionArea>Gembloux Agro Bio-Tech, Department of Agricultural Science, Statistics, Informatics, and Applied Modeling Unit, University of Liège, Passage des Déportés 2, Gembloux B-5030</wicri:regionArea><wicri:noRegion>Gembloux B-5030</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">26479379</idno><idno type="pmc">4598699</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4598699</idno><idno type="RBID">PMC:4598699</idno><idno type="doi">10.3390/ani5030377</idno><date when="2015">2015</date><idno type="wicri:Area/Pmc/Corpus">000027</idno><idno type="wicri:Area/Pmc/Curation">000027</idno><idno type="wicri:Area/Pmc/Checkpoint">000099</idno><idno type="wicri:Area/Ncbi/Merge">000363</idno><idno type="wicri:Area/Ncbi/Curation">000363</idno><idno type="wicri:Area/Ncbi/Checkpoint">000363</idno><idno type="wicri:Area/Main/Merge">000125</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Predictions of Daily Milk and Fat Yields, Major Groups of Fatty Acids, and C18:1 <italic>cis</italic>-9 from Single Milking Data without a Milking Interval</title><author><name sortKey="Arnould, Valerie M R" sort="Arnould, Valerie M R" uniqKey="Arnould V" first="Valérie M. R." last="Arnould">Valérie M. R. Arnould</name><affiliation><nlm:aff id="af1-animals-05-00377">CONVIS s.c., Zone Artisanale et Commerciale, 4, Ettelbruck, L-9085, Luxembourg; E-Mails:<email>valerie.arnould@convis.lu</email> (V.M.R.A.);<email>romain.reding@convis.lu</email> (R.R.)</nlm:aff></affiliation><affiliation><nlm:aff id="af2-animals-05-00377">Gembloux Agro Bio-Tech, Agriculture, Bio-engineering and Chemistry Department Animal Science and Nutrition Unit, University of Liège, Passage des Déportés 2, Gembloux B-5030, Belgium; E-Mail:<email>nicolas.gengler@ulg.ac.be</email></nlm:aff></affiliation></author><author><name sortKey="Reding, Romain" sort="Reding, Romain" uniqKey="Reding R" first="Romain" last="Reding">Romain Reding</name><affiliation><nlm:aff id="af1-animals-05-00377">CONVIS s.c., Zone Artisanale et Commerciale, 4, Ettelbruck, L-9085, Luxembourg; E-Mails:<email>valerie.arnould@convis.lu</email> (V.M.R.A.);<email>romain.reding@convis.lu</email> (R.R.)</nlm:aff></affiliation></author><author><name sortKey="Bormann, Jeanne" sort="Bormann, Jeanne" uniqKey="Bormann J" first="Jeanne" last="Bormann">Jeanne Bormann</name><affiliation><nlm:aff id="af3-animals-05-00377">Administration des Services Techniques de l'Agriculture ASTA, Luxembourg L-1019, Luxembourg; E-Mail:<email>jeanne.bormann@asta.etat.lu</email></nlm:aff></affiliation></author><author><name sortKey="Gengler, Nicolas" sort="Gengler, Nicolas" uniqKey="Gengler N" first="Nicolas" last="Gengler">Nicolas Gengler</name><affiliation><nlm:aff id="af2-animals-05-00377">Gembloux Agro Bio-Tech, Agriculture, Bio-engineering and Chemistry Department Animal Science and Nutrition Unit, University of Liège, Passage des Déportés 2, Gembloux B-5030, Belgium; E-Mail:<email>nicolas.gengler@ulg.ac.be</email></nlm:aff></affiliation></author><author><name sortKey="Soyeurt, Helene" sort="Soyeurt, Helene" uniqKey="Soyeurt H" first="Hélène" last="Soyeurt">Hélène Soyeurt</name><affiliation wicri:level="1"><nlm:aff id="af4-animals-05-00377">Gembloux Agro Bio-Tech, Department of Agricultural Science, Statistics, Informatics, and Applied Modeling Unit, University of Liège, Passage des Déportés 2, Gembloux B-5030, Belgium</nlm:aff><country xml:lang="fr">Belgique</country><wicri:regionArea>Gembloux Agro Bio-Tech, Department of Agricultural Science, Statistics, Informatics, and Applied Modeling Unit, University of Liège, Passage des Déportés 2, Gembloux B-5030</wicri:regionArea><wicri:noRegion>Gembloux B-5030</wicri:noRegion></affiliation></author></analytic><series><title level="j">Animals : an Open Access Journal from MDPI</title><idno type="eISSN">2076-2615</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Simple Summary</title><p>Reducing the frequency of milk recording decreases the costs of official milk recording. However, this approach can negatively affect the accuracy of predicting daily yields. Equations to predict daily yield from morning or evening data were developed in this study for fatty milk components from traits recorded easily by milk recording organizations. The correlation values ranged from 96.4% to 97.6% (96.9% to 98.3%) when the daily yields were estimated from the morning (evening) milkings. The simplicity of the proposed models which do not include the milking interval should facilitate their use by breeding and milk recording organizations.</p></sec><sec><title>Abstract</title><p>Reducing the frequency of milk recording would help reduce the costs of official milk recording. However, this approach could also negatively affect the accuracy of predicting daily yields. This problem has been investigated in numerous studies. In addition, published equations take into account milking intervals (MI), and these are often not available and/or are unreliable in practice. The first objective of this study was to propose models in which the MI was replaced by a combination of data easily recorded by dairy farmers. The second objective was to further investigate the fatty acids (FA) present in milk. Equations to predict daily yield from AM or PM data were based on a calibration database containing 79,971 records related to 51 traits [milk yield (expected AM, expected PM, and expected daily); fat content (expected AM, expected PM, and expected daily); fat yield (expected AM, expected PM, and expected daily; g/day); levels of seven different FAs or FA groups (expected AM, expected PM, and expected daily; g/dL milk), and the corresponding FA yields for these seven FA types/groups (expected AM, expected PM, and expected daily; g/day)]. These equations were validated using two distinct external datasets. The results obtained from the proposed models were compared to previously published results for models which included a MI effect. The corresponding correlation values ranged from 96.4% to 97.6% when the daily yields were estimated from the AM milkings and ranged from 96.9% to 98.3% when the daily yields were estimated from the PM milkings. The simplicity of these proposed models should facilitate their use by breeding and milk recording organizations.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Arnould, V M R" uniqKey="Arnould V">V.M.-R. Arnould</name></author><author><name sortKey="Reding, R" uniqKey="Reding R">R. Reding</name></author><author><name sortKey="Bormann, J" uniqKey="Bormann J">J. Bormann</name></author><author><name sortKey="Gengler, N" uniqKey="Gengler N">N. Gengler</name></author><author><name sortKey="Soyeurt, H" uniqKey="Soyeurt H">H. Soyeurt</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Chilliard, Y" uniqKey="Chilliard Y">Y. 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Soyeurt</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Chilliard, Y" uniqKey="Chilliard Y">Y. Chilliard</name></author><author><name sortKey="Ferlay, A" uniqKey="Ferlay A">A. Ferlay</name></author><author><name sortKey="Mansbridge, R M" uniqKey="Mansbridge R">R.M. Mansbridge</name></author><author><name sortKey="Doreau, M" uniqKey="Doreau M">M. Doreau</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Bastin, C" uniqKey="Bastin C">C. Bastin</name></author><author><name sortKey="Gengler, N" uniqKey="Gengler N">N. Gengler</name></author><author><name sortKey="Soyeurt, H" uniqKey="Soyeurt H">H. Soyeurt</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Bastin, C" uniqKey="Bastin C">C. Bastin</name></author><author><name sortKey="Berry, D P" uniqKey="Berry D">D.P. Berry</name></author><author><name sortKey="Soyeurt, H" uniqKey="Soyeurt H">H. Soyeurt</name></author><author><name sortKey="Gengler, N" uniqKey="Gengler N">N. Gengler</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Soyeurt, H" uniqKey="Soyeurt H">H. Soyeurt</name></author><author><name sortKey="Gillon, A" uniqKey="Gillon A">A. Gillon</name></author><author><name sortKey="Vanderick, S" uniqKey="Vanderick S">S. Vanderick</name></author><author><name sortKey="Mayeres, P" uniqKey="Mayeres P">P. Mayeres</name></author><author><name sortKey="Bertozzi, C" uniqKey="Bertozzi C">C. Bertozzi</name></author><author><name sortKey="Gengler, N" uniqKey="Gengler N">N. Gengler</name></author></analytic></biblStruct></listBibl></div1></back></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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