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مقایسة برآوردهای حاصل از حداقل مربعات معمولی و تجزیة مؤلفه‌های اصلی در پیش‌بینی بازده لاشة بزهای نژاد لری

نوع مقاله: مقاله پژوهشی

نویسندگان

1 استادیار گروه علوم دامی، دانشکدة کشاورزی، دانشگاه لرستان

2 استادیار گروه علوم دامی، پردیس کشاورزی و منابع طبیعی دانشگاه رازی کرمانشاه

چکیده

هدف این پژوهش به دست آوردن ارتباط بین بازده لاشه و برخی اندازه‌های بدن در بزهای نژاد لری بود. ابتدا وزن زنده و شش صفت ظاهری بدن برای186 بز اندازه‌گیری شد. سپس برای محاسبة بازده لاشه، دام‌ها کشتار شدند. نتایج بیانگر وجود هم‌خطی در متغیرهای وزن لاشه، وزن بدن و دور سینه بود. برای حذف اثر نامطلوب هم‌خطی از روش تجزیة مؤلفه‌های اصلی استفاده شد. ضرایب نهایی پیش‌بینی بازده لاشه برای وزن لاشه، وزن بدن، دور سینه، دور شکم، قد، طول بدن، طول حیوان و نمرة وضعیت بدن به ترتیب 0049/0، 0006/0، 0016/0-، 0029/0-، 0008/0-، 0008/0، 0001/0 و 0175/0 بود. نتایج نشان داد که مشکل هم‌خطی چندگانه بین متغیرهای مستقل در پیش‌بینی بازده لاشه با روش تجزیة مؤلفه‌های اصلی قابل حل بوده و این روش به برآورد ضرایب پایدار و قابل اعتماد با خطای معیار کمتر در مقایسه با برآوردهای حاصل از حداقل مربعات معمولی منجر می‌شود. نتایج این تحقیق همچنین نشان داد، به دلیل امکان اندازه‌گیری صفات ظاهری بدن در دام زنده، این متغیرها می‌توانند به عنوان یک معیار انتخاب، برای بهبود صفاتی استفاده شوند که در دام زنده قابل اندازه‌گیری نیستند.
 

کلیدواژه‌ها


عنوان مقاله [English]

Comparison of the estimators obtained from ordinary least squares and principle component analysis methods to predict carcass yield in Lori goats breed

نویسندگان [English]

  • Majid Khaldari 1
  • Saheb Forotanifar 2
1 Department of Animal Science, Faculty of Agriculture, Lorestan University, Khorram-Abad, Iran
2 University College of Agriculture and Natural Resources, Razi University, Iran
چکیده [English]

The present study was carried out to establish the relationships between carcass yield and some body measurements in Lori goat breed. The first body weight (BW) and morphological traits of 186 heads goat were recorded. The animals were then slaughtered to calculate the carcass yield. Results showed the colinearity among the traits. In order to eliminate colinearity problems, principal component analysis was used. The final predicted coefficients of carcass yield for carcass weight, body weight, heart girth, paunch girth, height at wither, body lengthBL, animal length and body condition score was 0.0049, 0.0006, -0.0016, -0.0029, -0.0008, 0.0008, 0.0001 and 0.0175, respectively. Results showed that the problem of multicollinearity in the relationship between carcass yield and independent variables in goats can be solved using principal component analysis. This method leads to more stable and reliable coefficients with less standard error than those from ordinary least squares. Furthermore, Body measurements can be used as selection criterion to improve carcass yield that it cannot be recorded on a live animal.

کلیدواژه‌ها [English]

  • carcass yield, principle component analysis, body measurements
  • multicollinearity, selection criterion
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