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            <name>Title</name>
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                <text>RELATIONSHIP BETWEEN BODY WEIGHT AND LINEAR BODY MEASUREMENTS AT&#13;
VARIOUS STAGES OF PERMANENT TOOTH ERUPTION IN INDIGENOUS¬MATEBELE FEMALE GOATS OF Z IMBABWE&#13;
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          <element elementId="39">
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                <text>NEVER ASSAN&#13;
</text>
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              <elementText elementTextId="2048">
                <text>MICHAEL MUSASIRA&#13;
 </text>
              </elementText>
              <elementText elementTextId="2049">
                <text>MAPHIOS MPOFU&#13;
 </text>
              </elementText>
              <elementText elementTextId="2050">
                <text>NICHOLAS M WAYERA4 &#13;
</text>
              </elementText>
              <elementText elementTextId="2051">
                <text>KWENA MOKOENA5&#13;
&#13;
&#13;
</text>
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              <elementText elementTextId="2052">
                <text>THOBELA LOUIS TYASI</text>
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                <text>his study aimed to evaluate the influence of dental age on predicting body weight (BWT) using Linear&#13;
body measurements (LBM) in 168 indigenous Matebele goat females of Zimbabwe. LBM and BWT were recorded at&#13;
various stages of permanent incisor eruption (PE): second pair (I2), third pair (I3), fourth pair (I4), full mouth (FM),&#13;
and broken mouth (BM). The LBMs were measured using a ruler and centimeter-calibrated tailor’s tape, while BWT&#13;
was measured using an electronic weighing scale in kilograms. The correlation between BWT and LMBs was assessed&#13;
using Pearson’s correlation and regression were used for data analysis. The highest correlation was observed between&#13;
body length (BL) and rump height (RH) (r = 0.70), while BWT and heart girth (HG) showed a significant correlation&#13;
(r = 0.68) (p&lt;0.05) at I2 stage. Simple regression models demonstrated good predictive power on BWT at the FM&#13;
stage for HG (R2 = 74%), BL (R2 = 65%), and WT (R2 = 53%) (p&lt;0.05). The predictive power of multiple regression&#13;
models for I3 was slightly reduced when non-significant components were removed. The findings suggest that HG is&#13;
the best predictor of BWT during the I3 to FM tooth eruption phases, supporting genetic improvement and selection&#13;
of replacement females based on LBM. The study concludes that dentition-based age determination influences the cor-&#13;
relation between BWT and LBMs in female indigenous goats, with the strongest correlation observed between I2 and&#13;
I4 eruption periods. Combining HG and RH can optimize body weight prediction for I3 females by reducing variables&#13;
in the model. The results highlight the importance of dentition-based age estimation and morphometric feature-based&#13;
body weight prediction in small ruminants, particularly in small-scale animal agriculture where scales and record-keep-&#13;
ing are often lacking</text>
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            <name>Publisher</name>
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              <elementText elementTextId="2054">
                <text>Advances in Animal and Veterinary Sciences</text>
              </elementText>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="2055">
                <text>2024</text>
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        <name>Body weight</name>
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      <tag tagId="929">
        <name>Dentition</name>
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      <tag tagId="181">
        <name>indigenous Matebele Goat</name>
      </tag>
      <tag tagId="930">
        <name>Linear body measurements</name>
      </tag>
      <tag tagId="30">
        <name>Zimbabwe</name>
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            <name>Title</name>
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                <text>INFLUENCE OF NON-GENETIC FACTORS WEIGHT AND CARCASS TRAITS IN&#13;
INDIGENOUS MATEBELE GOAT&#13;
</text>
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                <text>ASSAN, N</text>
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                <text>The objective of the present study was to establish the non-genetic factors which affect slaughter weight&#13;
and carcass traits. A mixed classification model containing the effects of year of slaughter, age at slaughter,&#13;
month of slaughter and sex was used for identification of non-genetic factors. The slaughter weight and carcass&#13;
traits data were analyzed using the General Linear Models (GLM) procedure of the Statistical Analysis System&#13;
(SAS) (1996) to establish the significance of the non-genetic factors. The effects of year of slaughter had a&#13;
significant influence on slaughter weight and all carcass traits analyzed in the present study. The year of&#13;
slaughter also influenced the size of the prime cuts such as hind barrel and front barrel within the 1992 to 1999&#13;
period of study. The dressing percentage averaged 58.40 ± 2.76 kg which was slightly constant within different&#13;
year of slaughter. Age at slaughter had a significant (p&lt;0.01) difference on slaughter weight and most carcass&#13;
traits with the exception of edible meat offals as a percentage of hot carcass mass. Sex significantly affects&#13;
slaughter weight and most carcass traits except for edible meat offal as a percentage of hot carcass mass and&#13;
empty gastro-intestinal tracts. There was variation in performance of slaughter weight and carcass traits due to&#13;
year of slaughter, month of slaughter, age of slaughter and sex.</text>
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              <elementText elementTextId="455">
                <text>Global Researchers Journal </text>
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            <name>Date</name>
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                <text>2012</text>
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        <name>carcass traits</name>
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        <name>indigenous Matebele Goat</name>
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        <name>Non-genetic factors</name>
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      <tag tagId="179">
        <name>slaughter weight</name>
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