Use of Spline function for the characterisation on peak yield, peak day and persistency in lactation curves in Murciano-Granadina goats

The objective of this study was to characterise the peak yield (PY), peak day (PD) and the persistency (P) of the lactation curve of Murciano-Granadina goats by Spline considering the variation factors (region, type of kidding, lactation number and season) and their levels. A total of 1,349,347 test...

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Main Authors: Judith Carmen Miranda-Alejo, José Manuel León-Jurado, Camillo Pieramati, Mayra Mercedes Gómez Carpio, Jesús Valdés-Hernández, Cecilio José Barba-Capote
Format: Article
Language:English
Published: Taylor & Francis Group 2019-01-01
Series:Italian Journal of Animal Science
Subjects:
Online Access:http://dx.doi.org/10.1080/1828051X.2019.1593057
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author Judith Carmen Miranda-Alejo
José Manuel León-Jurado
Camillo Pieramati
Mayra Mercedes Gómez Carpio
Jesús Valdés-Hernández
Cecilio José Barba-Capote
author_facet Judith Carmen Miranda-Alejo
José Manuel León-Jurado
Camillo Pieramati
Mayra Mercedes Gómez Carpio
Jesús Valdés-Hernández
Cecilio José Barba-Capote
author_sort Judith Carmen Miranda-Alejo
collection DOAJ
description The objective of this study was to characterise the peak yield (PY), peak day (PD) and the persistency (P) of the lactation curve of Murciano-Granadina goats by Spline considering the variation factors (region, type of kidding, lactation number and season) and their levels. A total of 1,349,347 test-day records from 180,872 lactations, of 85,404 goats were used. The analysed data with Spline model was considered for adequate fit in lactation curves for others traits in these goats. All factors affected the scale and/or shape of the lactation curve. In the region factor, significant differences (SD, p < .05) were observed in terms of the total milk yield (TY), final persistency (FP) and total persistency (TP) variables in favour of Almeria versus Cordoba and Granada; the PD variables, PY and initial persistency (IP) did not show SD (NSD, p > .05) between regions. The type of kidding presented SD among its levels (evident between double versus single and triple) with the exception of the PY. The lactation number for the variables of PD, PY and TY from second to fifth lactation showed NSD among themselves; but it did in the case of the first. The P of first lactation was longer, with a decrease in subsequent lactations. In the season factor, PD, TY and P presented SD; where the PD was divided into two groups: late group (winter-spring) and early group (fall-winter). The P, PY and PD can be considered as an additional selection criterion and thus modify the lactation curve.Highlights The biomodeling of individualized lactation curves is an important information resource for farmers and their breeding program. A conglomerate of microeffects such us climate, photoperiod, agroecological aspects, affect parameters of the lactation curve and their productions. It is preferable to achieve lactations with more emphasis on persistency in order to provide animal welfare and obtain adequate economic benefits.
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spelling doaj.art-de865065ed3b4b0db4217d93eb555b342022-12-21T23:23:14ZengTaylor & Francis GroupItalian Journal of Animal Science1828-051X2019-01-0118188889710.1080/1828051X.2019.15930571593057Use of Spline function for the characterisation on peak yield, peak day and persistency in lactation curves in Murciano-Granadina goatsJudith Carmen Miranda-Alejo0José Manuel León-Jurado1Camillo Pieramati2Mayra Mercedes Gómez Carpio3Jesús Valdés-Hernández4Cecilio José Barba-Capote5Universidad de CórdobaUniversity of CordobaUniversity of PerugiaUniversity of CordobaUniversity of ConcepciónUniversidad de CórdobaThe objective of this study was to characterise the peak yield (PY), peak day (PD) and the persistency (P) of the lactation curve of Murciano-Granadina goats by Spline considering the variation factors (region, type of kidding, lactation number and season) and their levels. A total of 1,349,347 test-day records from 180,872 lactations, of 85,404 goats were used. The analysed data with Spline model was considered for adequate fit in lactation curves for others traits in these goats. All factors affected the scale and/or shape of the lactation curve. In the region factor, significant differences (SD, p < .05) were observed in terms of the total milk yield (TY), final persistency (FP) and total persistency (TP) variables in favour of Almeria versus Cordoba and Granada; the PD variables, PY and initial persistency (IP) did not show SD (NSD, p > .05) between regions. The type of kidding presented SD among its levels (evident between double versus single and triple) with the exception of the PY. The lactation number for the variables of PD, PY and TY from second to fifth lactation showed NSD among themselves; but it did in the case of the first. The P of first lactation was longer, with a decrease in subsequent lactations. In the season factor, PD, TY and P presented SD; where the PD was divided into two groups: late group (winter-spring) and early group (fall-winter). The P, PY and PD can be considered as an additional selection criterion and thus modify the lactation curve.Highlights The biomodeling of individualized lactation curves is an important information resource for farmers and their breeding program. A conglomerate of microeffects such us climate, photoperiod, agroecological aspects, affect parameters of the lactation curve and their productions. It is preferable to achieve lactations with more emphasis on persistency in order to provide animal welfare and obtain adequate economic benefits.http://dx.doi.org/10.1080/1828051X.2019.1593057breeding programmedairy yieldlivestock improvementselection criteria
spellingShingle Judith Carmen Miranda-Alejo
José Manuel León-Jurado
Camillo Pieramati
Mayra Mercedes Gómez Carpio
Jesús Valdés-Hernández
Cecilio José Barba-Capote
Use of Spline function for the characterisation on peak yield, peak day and persistency in lactation curves in Murciano-Granadina goats
Italian Journal of Animal Science
breeding programme
dairy yield
livestock improvement
selection criteria
title Use of Spline function for the characterisation on peak yield, peak day and persistency in lactation curves in Murciano-Granadina goats
title_full Use of Spline function for the characterisation on peak yield, peak day and persistency in lactation curves in Murciano-Granadina goats
title_fullStr Use of Spline function for the characterisation on peak yield, peak day and persistency in lactation curves in Murciano-Granadina goats
title_full_unstemmed Use of Spline function for the characterisation on peak yield, peak day and persistency in lactation curves in Murciano-Granadina goats
title_short Use of Spline function for the characterisation on peak yield, peak day and persistency in lactation curves in Murciano-Granadina goats
title_sort use of spline function for the characterisation on peak yield peak day and persistency in lactation curves in murciano granadina goats
topic breeding programme
dairy yield
livestock improvement
selection criteria
url http://dx.doi.org/10.1080/1828051X.2019.1593057
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