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Scopus (Elsevier) Özgün Makale Scopus
Identifying the Most Important Linear Body Depth Traits Associated with Milk Yield in Dairy Cattle
Universidade do Estado de Santa Catarina 2023 Cilt 22 Sayı 3
Scopus Eşleşmesi Bulundu
22
Cilt
453-462
Sayfa
🔓
Açık Erişim
Scopus Yazarları: S. Prabowo, Mustafa Garip
Özet
Depth dimensions are a fundamental linear type trait in the animal body included in dairy cattle science. Unfortunately, the prominent body depth dimension to milk yield is unspecified in lucidity. Thus, the objective of the current research was to identify the excellent body depth dimension of dairy cattle for milk yield as a selection precedence trait. The experiment employed 121 lactation Holstein cows aged specify as 2–6, raised on an Indonesian smallholder commercial dairy farm. R version 4.2.1 with RStudio software simultaneously worked as a statistical analysis tool. The principal component analysis (PCA), correlation, and regression analyses were executed sequentially. The product of the PCA revealed that the chest depth (CHD), body depth (BDD), and udder depth (UDD) traits are the essential body depth dimensions in dairy cattle. A crowning envoy associated with the milk yield capacity was delegated to the UDD trait. However, the UDD is the finest trait for the lactation cow selection program. Presumably, the BDD trait is the prime characteristic for calves and heifer selection schemes.
Anahtar Kelimeler (Scopus)
body measurement Holstein cows principal component correlation depth dimension
Scimago Dergi Bilgisi Otomatik ISSN Eşleştirmesi 2023 yılı verileri
Revista de Ciencias Agroveterinarias
Q4
SJR Quartile
0,156
SJR Skoru
10
H-Index
🔓
Açık Erişim
Kategoriler: Agronomy and Crop Science (Q4) · Animal Science and Zoology (Q4) · Food Science (Q4) · Plant Science (Q4) · Soil Science (Q4) · Veterinary (miscellaneous) (Q4)
Alanlar: Agricultural and Biological Sciences · Veterinary
Ülke: Brazil · Universidade Do Estado de Santa Catarina
Bu bilgiler makale yılına göre Scimago veritabanından ISSN eşleştirmesiyle otomatik getirilmektedir. Dergi sıralama verileri Scimago'nun ilgili yılı baz alınmaktadır.

Anahtar Kelimeler

body measurement correlation depth dimension Holstein cows principal component. principal component
mavi = YÖKSİS   yeşil = Scopus

Makale Bilgileri

Dergi Universidade do Estado de Santa Catarina
ISSN 2238-1171
Yıl 2023 / 8. ay
Cilt / Sayı 22 / 3
Sayfalar 453 – 462
Makale Türü Özgün Makale
Hakemlik Hakemli
Endeks Scopus (Elsevier)
TEŞV Puanı 48,00
Yayın Dili İngilizce
Kapsam Uluslararası
Toplam Yazar 2 kişi
Erişim Türü Basılı+Elektronik
Erişim Linki Makaleye Git
Alan Sağlık Bilimleri Temel Alanı Veteriner Zootekni body measurement; correlation; depth dimension; Holstein cows; principal component.

YÖKSİS Yazar Kaydı

Yazar Adı PRABOWO SİGİD, GARİP MUSTAFA
YÖKSİS ID 7759521