Estimation of genetic and crossbreeding parameters of fatty acid concentrations in milk fat predicted by mid-infrared spectroscopy in New Zealand dairy cattle
The objective of this study was to estimate heritability and crossbreeding parameters (breed and heterosis effects) of various fatty acid (FA) concentrations in milk fat of New Zealand dairy cattle. For this purpose, calibration equations to predict concentration of each of the most common FAs were...
Gespeichert in:
| Veröffentlicht in: | Journal of dairy research 2014-08, Vol.81 (3), p.340-349 |
|---|---|
| Hauptverfasser: | , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 349 |
|---|---|
| container_issue | 3 |
| container_start_page | 340 |
| container_title | Journal of dairy research |
| container_volume | 81 |
| creator | Lopez-Villalobos, Nicolas Spelman, Richard J. Melis, Janine Davis, Stephen R. Berry, Sarah D. Lehnert, Klaus Holroyd, Stephen E. MacGibbon, Alastair K.H. Snell, Russell G. |
| description | The objective of this study was to estimate heritability and crossbreeding parameters (breed and heterosis effects) of various fatty acid (FA) concentrations in milk fat of New Zealand dairy cattle. For this purpose, calibration equations to predict concentration of each of the most common FAs were derived with partial least squares (PLS) using mid-infrared (MIR) spectral data from milk samples (n=850) collected in the 2003–04 season from 348 second-parity crossbred cows during peak, mid and late lactation. The milk samples produced both, MIR spectral data and concentration of the most common FAs determined using gas chromatography (GC). The concordance correlation coefficients (CCC) between the concentration of a FA determined by GC and the PLS equation ranged from 0·63 to 0·94, suggesting that some prediction equations can be considered to have substantial predictive ability. The PLS calibration equations were then used to predict the concentration of each of the fatty acids in 26 769 milk samples from 7385 cows that were herd-tested during the 2007–08 season. Data were analysed using a single-trait repeatability animal model. Shorter chain FA (16 : 0 and below) were significantly higher (P |
| doi_str_mv | 10.1017/S0022029914000272 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1639990169</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cupid>10_1017_S0022029914000272</cupid><sourcerecordid>1639990169</sourcerecordid><originalsourceid>FETCH-LOGICAL-c430t-d221db3e1b08b63b31aad2b79c091133e5c5ef27e0e20af813fbce7cf40dc9a13</originalsourceid><addsrcrecordid>eNqFkstuFDEQRS0EIkPgA9iAJTbZNJTt7vZ4iaIQkCJYhGzYtPwojxz6he1R1D_Dt-LODAiBECtbVefeqnKZkOcMXjNg8s01AOfAlWI1lKvkD8iG1a2qZMvVQ7JZ09WaPyFPUroFYAJU-5ic8AYaXotmQ75fpBwGncM00snTHY6Yg6V6dNTGKSUTEV0Yd3TWUQ-YMaaV8zrnhWobCjaNFscc7z0SDSMdQv91Jegci9ZmdNQsJeqqMPqoS5CmGW0u_naal1XyEe_oF9T9WtfpEBdqS4Uen5JHXvcJnx3PU3Lz7uLz-fvq6tPlh_O3V5WtBeTKcc6cEcgMbE0rjGBaO26ksqAYEwIb26DnEgE5aL9lwhuL0voanFWaiVNydvCd4_Rtjyl3Q0gW-9IQTvvUsVYopYC16v9oU2-ZElBvC_rqD_R22sexDLJSUta8EXWh2IG6f_CIvptjWUlcOgbduufurz0XzYuj894M6H4pfi62AC8PgNdTp3cxpO7mmpcByidgXEJbCHEsqwcTg9vhb939s_APZbC9Xw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1547742534</pqid></control><display><type>article</type><title>Estimation of genetic and crossbreeding parameters of fatty acid concentrations in milk fat predicted by mid-infrared spectroscopy in New Zealand dairy cattle</title><source>MEDLINE</source><source>Cambridge Journals</source><creator>Lopez-Villalobos, Nicolas ; Spelman, Richard J. ; Melis, Janine ; Davis, Stephen R. ; Berry, Sarah D. ; Lehnert, Klaus ; Holroyd, Stephen E. ; MacGibbon, Alastair K.H. ; Snell, Russell G.</creator><creatorcontrib>Lopez-Villalobos, Nicolas ; Spelman, Richard J. ; Melis, Janine ; Davis, Stephen R. ; Berry, Sarah D. ; Lehnert, Klaus ; Holroyd, Stephen E. ; MacGibbon, Alastair K.H. ; Snell, Russell G.</creatorcontrib><description>The objective of this study was to estimate heritability and crossbreeding parameters (breed and heterosis effects) of various fatty acid (FA) concentrations in milk fat of New Zealand dairy cattle. For this purpose, calibration equations to predict concentration of each of the most common FAs were derived with partial least squares (PLS) using mid-infrared (MIR) spectral data from milk samples (n=850) collected in the 2003–04 season from 348 second-parity crossbred cows during peak, mid and late lactation. The milk samples produced both, MIR spectral data and concentration of the most common FAs determined using gas chromatography (GC). The concordance correlation coefficients (CCC) between the concentration of a FA determined by GC and the PLS equation ranged from 0·63 to 0·94, suggesting that some prediction equations can be considered to have substantial predictive ability. The PLS calibration equations were then used to predict the concentration of each of the fatty acids in 26 769 milk samples from 7385 cows that were herd-tested during the 2007–08 season. Data were analysed using a single-trait repeatability animal model. Shorter chain FA (16 : 0 and below) were significantly higher (P<0·05) in Jersey cows, while longer chain, including unsaturated longer chain FA were higher in Holstein-Friesian cows. The estimates of heritabilities ranged from 0·17 to 0·41 suggesting that selective breeding could be used to ensure milk fat composition stays aligned to consumer, market and manufacturing needs.</description><identifier>ISSN: 0022-0299</identifier><identifier>ISSN: 1469-7629</identifier><identifier>EISSN: 1469-7629</identifier><identifier>DOI: 10.1017/S0022029914000272</identifier><identifier>PMID: 25052435</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Animal models ; Animals ; Calibration ; Cattle - genetics ; Chromatography, Gas - veterinary ; correlation ; Correlation coefficient ; cows ; crossing ; Dairy cattle ; equations ; Fatty acids ; Fatty Acids - analysis ; Female ; Gas chromatography ; heritability ; heterosis ; Holstein ; Hybridization, Genetic - genetics ; Infrared spectroscopy ; Jersey ; late lactation ; least squares ; manufacturing ; markets ; Milk ; Milk - chemistry ; milk fat ; prediction ; Quantitative Trait, Heritable ; selection methods ; Selective breeding ; spectral analysis ; Spectrophotometry, Infrared - veterinary ; spectroscopy</subject><ispartof>Journal of dairy research, 2014-08, Vol.81 (3), p.340-349</ispartof><rights>Copyright © Proprietors of Journal of Dairy Research 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c430t-d221db3e1b08b63b31aad2b79c091133e5c5ef27e0e20af813fbce7cf40dc9a13</citedby><cites>FETCH-LOGICAL-c430t-d221db3e1b08b63b31aad2b79c091133e5c5ef27e0e20af813fbce7cf40dc9a13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0022029914000272/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>164,314,776,780,27901,27902,55603</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25052435$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lopez-Villalobos, Nicolas</creatorcontrib><creatorcontrib>Spelman, Richard J.</creatorcontrib><creatorcontrib>Melis, Janine</creatorcontrib><creatorcontrib>Davis, Stephen R.</creatorcontrib><creatorcontrib>Berry, Sarah D.</creatorcontrib><creatorcontrib>Lehnert, Klaus</creatorcontrib><creatorcontrib>Holroyd, Stephen E.</creatorcontrib><creatorcontrib>MacGibbon, Alastair K.H.</creatorcontrib><creatorcontrib>Snell, Russell G.</creatorcontrib><title>Estimation of genetic and crossbreeding parameters of fatty acid concentrations in milk fat predicted by mid-infrared spectroscopy in New Zealand dairy cattle</title><title>Journal of dairy research</title><addtitle>Journal of Dairy Research</addtitle><description>The objective of this study was to estimate heritability and crossbreeding parameters (breed and heterosis effects) of various fatty acid (FA) concentrations in milk fat of New Zealand dairy cattle. For this purpose, calibration equations to predict concentration of each of the most common FAs were derived with partial least squares (PLS) using mid-infrared (MIR) spectral data from milk samples (n=850) collected in the 2003–04 season from 348 second-parity crossbred cows during peak, mid and late lactation. The milk samples produced both, MIR spectral data and concentration of the most common FAs determined using gas chromatography (GC). The concordance correlation coefficients (CCC) between the concentration of a FA determined by GC and the PLS equation ranged from 0·63 to 0·94, suggesting that some prediction equations can be considered to have substantial predictive ability. The PLS calibration equations were then used to predict the concentration of each of the fatty acids in 26 769 milk samples from 7385 cows that were herd-tested during the 2007–08 season. Data were analysed using a single-trait repeatability animal model. Shorter chain FA (16 : 0 and below) were significantly higher (P<0·05) in Jersey cows, while longer chain, including unsaturated longer chain FA were higher in Holstein-Friesian cows. The estimates of heritabilities ranged from 0·17 to 0·41 suggesting that selective breeding could be used to ensure milk fat composition stays aligned to consumer, market and manufacturing needs.</description><subject>Animal models</subject><subject>Animals</subject><subject>Calibration</subject><subject>Cattle - genetics</subject><subject>Chromatography, Gas - veterinary</subject><subject>correlation</subject><subject>Correlation coefficient</subject><subject>cows</subject><subject>crossing</subject><subject>Dairy cattle</subject><subject>equations</subject><subject>Fatty acids</subject><subject>Fatty Acids - analysis</subject><subject>Female</subject><subject>Gas chromatography</subject><subject>heritability</subject><subject>heterosis</subject><subject>Holstein</subject><subject>Hybridization, Genetic - genetics</subject><subject>Infrared spectroscopy</subject><subject>Jersey</subject><subject>late lactation</subject><subject>least squares</subject><subject>manufacturing</subject><subject>markets</subject><subject>Milk</subject><subject>Milk - chemistry</subject><subject>milk fat</subject><subject>prediction</subject><subject>Quantitative Trait, Heritable</subject><subject>selection methods</subject><subject>Selective breeding</subject><subject>spectral analysis</subject><subject>Spectrophotometry, Infrared - veterinary</subject><subject>spectroscopy</subject><issn>0022-0299</issn><issn>1469-7629</issn><issn>1469-7629</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkstuFDEQRS0EIkPgA9iAJTbZNJTt7vZ4iaIQkCJYhGzYtPwojxz6he1R1D_Dt-LODAiBECtbVefeqnKZkOcMXjNg8s01AOfAlWI1lKvkD8iG1a2qZMvVQ7JZ09WaPyFPUroFYAJU-5ic8AYaXotmQ75fpBwGncM00snTHY6Yg6V6dNTGKSUTEV0Yd3TWUQ-YMaaV8zrnhWobCjaNFscc7z0SDSMdQv91Jegci9ZmdNQsJeqqMPqoS5CmGW0u_naal1XyEe_oF9T9WtfpEBdqS4Uen5JHXvcJnx3PU3Lz7uLz-fvq6tPlh_O3V5WtBeTKcc6cEcgMbE0rjGBaO26ksqAYEwIb26DnEgE5aL9lwhuL0voanFWaiVNydvCd4_Rtjyl3Q0gW-9IQTvvUsVYopYC16v9oU2-ZElBvC_rqD_R22sexDLJSUta8EXWh2IG6f_CIvptjWUlcOgbduufurz0XzYuj894M6H4pfi62AC8PgNdTp3cxpO7mmpcByidgXEJbCHEsqwcTg9vhb939s_APZbC9Xw</recordid><startdate>20140801</startdate><enddate>20140801</enddate><creator>Lopez-Villalobos, Nicolas</creator><creator>Spelman, Richard J.</creator><creator>Melis, Janine</creator><creator>Davis, Stephen R.</creator><creator>Berry, Sarah D.</creator><creator>Lehnert, Klaus</creator><creator>Holroyd, Stephen E.</creator><creator>MacGibbon, Alastair K.H.</creator><creator>Snell, Russell G.</creator><general>Cambridge University Press</general><scope>FBQ</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7QO</scope><scope>7QR</scope><scope>7T5</scope><scope>7T7</scope><scope>7TM</scope><scope>7U7</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>P64</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>7X8</scope><scope>RC3</scope></search><sort><creationdate>20140801</creationdate><title>Estimation of genetic and crossbreeding parameters of fatty acid concentrations in milk fat predicted by mid-infrared spectroscopy in New Zealand dairy cattle</title><author>Lopez-Villalobos, Nicolas ; Spelman, Richard J. ; Melis, Janine ; Davis, Stephen R. ; Berry, Sarah D. ; Lehnert, Klaus ; Holroyd, Stephen E. ; MacGibbon, Alastair K.H. ; Snell, Russell G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c430t-d221db3e1b08b63b31aad2b79c091133e5c5ef27e0e20af813fbce7cf40dc9a13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Animal models</topic><topic>Animals</topic><topic>Calibration</topic><topic>Cattle - genetics</topic><topic>Chromatography, Gas - veterinary</topic><topic>correlation</topic><topic>Correlation coefficient</topic><topic>cows</topic><topic>crossing</topic><topic>Dairy cattle</topic><topic>equations</topic><topic>Fatty acids</topic><topic>Fatty Acids - analysis</topic><topic>Female</topic><topic>Gas chromatography</topic><topic>heritability</topic><topic>heterosis</topic><topic>Holstein</topic><topic>Hybridization, Genetic - genetics</topic><topic>Infrared spectroscopy</topic><topic>Jersey</topic><topic>late lactation</topic><topic>least squares</topic><topic>manufacturing</topic><topic>markets</topic><topic>Milk</topic><topic>Milk - chemistry</topic><topic>milk fat</topic><topic>prediction</topic><topic>Quantitative Trait, Heritable</topic><topic>selection methods</topic><topic>Selective breeding</topic><topic>spectral analysis</topic><topic>Spectrophotometry, Infrared - veterinary</topic><topic>spectroscopy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lopez-Villalobos, Nicolas</creatorcontrib><creatorcontrib>Spelman, Richard J.</creatorcontrib><creatorcontrib>Melis, Janine</creatorcontrib><creatorcontrib>Davis, Stephen R.</creatorcontrib><creatorcontrib>Berry, Sarah D.</creatorcontrib><creatorcontrib>Lehnert, Klaus</creatorcontrib><creatorcontrib>Holroyd, Stephen E.</creatorcontrib><creatorcontrib>MacGibbon, Alastair K.H.</creatorcontrib><creatorcontrib>Snell, Russell G.</creatorcontrib><collection>AGRIS</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Immunology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Nucleic Acids Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Engineering Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>MEDLINE - Academic</collection><collection>Genetics Abstracts</collection><jtitle>Journal of dairy research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lopez-Villalobos, Nicolas</au><au>Spelman, Richard J.</au><au>Melis, Janine</au><au>Davis, Stephen R.</au><au>Berry, Sarah D.</au><au>Lehnert, Klaus</au><au>Holroyd, Stephen E.</au><au>MacGibbon, Alastair K.H.</au><au>Snell, Russell G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimation of genetic and crossbreeding parameters of fatty acid concentrations in milk fat predicted by mid-infrared spectroscopy in New Zealand dairy cattle</atitle><jtitle>Journal of dairy research</jtitle><addtitle>Journal of Dairy Research</addtitle><date>2014-08-01</date><risdate>2014</risdate><volume>81</volume><issue>3</issue><spage>340</spage><epage>349</epage><pages>340-349</pages><issn>0022-0299</issn><issn>1469-7629</issn><eissn>1469-7629</eissn><abstract>The objective of this study was to estimate heritability and crossbreeding parameters (breed and heterosis effects) of various fatty acid (FA) concentrations in milk fat of New Zealand dairy cattle. For this purpose, calibration equations to predict concentration of each of the most common FAs were derived with partial least squares (PLS) using mid-infrared (MIR) spectral data from milk samples (n=850) collected in the 2003–04 season from 348 second-parity crossbred cows during peak, mid and late lactation. The milk samples produced both, MIR spectral data and concentration of the most common FAs determined using gas chromatography (GC). The concordance correlation coefficients (CCC) between the concentration of a FA determined by GC and the PLS equation ranged from 0·63 to 0·94, suggesting that some prediction equations can be considered to have substantial predictive ability. The PLS calibration equations were then used to predict the concentration of each of the fatty acids in 26 769 milk samples from 7385 cows that were herd-tested during the 2007–08 season. Data were analysed using a single-trait repeatability animal model. Shorter chain FA (16 : 0 and below) were significantly higher (P<0·05) in Jersey cows, while longer chain, including unsaturated longer chain FA were higher in Holstein-Friesian cows. The estimates of heritabilities ranged from 0·17 to 0·41 suggesting that selective breeding could be used to ensure milk fat composition stays aligned to consumer, market and manufacturing needs.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>25052435</pmid><doi>10.1017/S0022029914000272</doi><tpages>10</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0022-0299 |
| ispartof | Journal of dairy research, 2014-08, Vol.81 (3), p.340-349 |
| issn | 0022-0299 1469-7629 1469-7629 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1639990169 |
| source | MEDLINE; Cambridge Journals |
| subjects | Animal models Animals Calibration Cattle - genetics Chromatography, Gas - veterinary correlation Correlation coefficient cows crossing Dairy cattle equations Fatty acids Fatty Acids - analysis Female Gas chromatography heritability heterosis Holstein Hybridization, Genetic - genetics Infrared spectroscopy Jersey late lactation least squares manufacturing markets Milk Milk - chemistry milk fat prediction Quantitative Trait, Heritable selection methods Selective breeding spectral analysis Spectrophotometry, Infrared - veterinary spectroscopy |
| title | Estimation of genetic and crossbreeding parameters of fatty acid concentrations in milk fat predicted by mid-infrared spectroscopy in New Zealand dairy cattle |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T07%3A25%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Estimation%20of%20genetic%20and%20crossbreeding%20parameters%20of%20fatty%20acid%20concentrations%20in%20milk%20fat%20predicted%20by%20mid-infrared%20spectroscopy%20in%20New%20Zealand%20dairy%20cattle&rft.jtitle=Journal%20of%20dairy%20research&rft.au=Lopez-Villalobos,%20Nicolas&rft.date=2014-08-01&rft.volume=81&rft.issue=3&rft.spage=340&rft.epage=349&rft.pages=340-349&rft.issn=0022-0299&rft.eissn=1469-7629&rft_id=info:doi/10.1017/S0022029914000272&rft_dat=%3Cproquest_cross%3E1639990169%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1547742534&rft_id=info:pmid/25052435&rft_cupid=10_1017_S0022029914000272&rfr_iscdi=true |