Comparison of Carcass Composition of Iranian Fat-tailed Sheep

Similar documents
TURFGRASS DISEASE RESEARCH REPORT J. M. Vargas, Jr. and R. Detweiler Department of Botany and Plant Pathology Michigan State University

Present state Next state Q + M N

DUET WITH DIAMONDS COLOR SHIFTING BRACELET By Leslie Rogalski

Selection of Brahman crossbred-breeding bulls based on phenotypic performance

CS September 2018

Register Allocation. Register Allocation. Principle Phases. Principle Phases. Example: Build. Spills 11/14/2012

Math 61 : Discrete Structures Final Exam Instructor: Ciprian Manolescu. You have 180 minutes.

Module graph.py. 1 Introduction. 2 Graph basics. 3 Module graph.py. 3.1 Objects. CS 231 Naomi Nishimura

EE1000 Project 4 Digital Volt Meter

1 Introduction to Modulo 7 Arithmetic

CSE 373: AVL trees. Warmup: Warmup. Interlude: Exploring the balance invariant. AVL Trees: Invariants. AVL tree invariants review

What do you know? Listen and find. Listen and circle. Listen and chant. Listen and say. Lesson 1. sheep. horse

12. Traffic engineering

, each of which is a tree, and whose roots r 1. , respectively, are children of r. Data Structures & File Management

Chem 104A, Fall 2016, Midterm 1 Key

(2) If we multiplied a row of B by λ, then the value is also multiplied by λ(here lambda could be 0). namely

Dinitrogen fixation and residue nitrogen of different managed legumes and nitrogen uptake of subsequent winter wheat

CSE 373: More on graphs; DFS and BFS. Michael Lee Wednesday, Feb 14, 2018

ECE COMBINATIONAL BUILDING BLOCKS - INVEST 13 DECODERS AND ENCODERS

Planar Upward Drawings

Influence of Magnesium as a Major Contributor of Water Hardness on Some Cardiac Disease Risk Factors

Aquauno Video 6 Plus Page 1

COMPLEXITY OF COUNTING PLANAR TILINGS BY TWO BARS

Multipoint Alternate Marking method for passive and hybrid performance monitoring

CSC Design and Analysis of Algorithms. Example: Change-Making Problem

An undirected graph G = (V, E) V a set of vertices E a set of unordered edges (v,w) where v, w in V

# 1 ' 10 ' 100. Decimal point = 4 hundred. = 6 tens (or sixty) = 5 ones (or five) = 2 tenths. = 7 hundredths.

Meta-analysis the effect of nitrogen fertilizer on quantitative and qualitative characteristics of sugar beet

Constructive Geometric Constraint Solving

Why the Junction Tree Algorithm? The Junction Tree Algorithm. Clique Potential Representation. Overview. Chris Williams 1.

Case Study VI Answers PHA 5127 Fall 2006

Section 3: Antiderivatives of Formulas

S.G. Solomon, L.O. Tiamiyu and U.J. Agaba Department of Fisheries and Aquaculture, Federal University of Agriculture, Makurdi, Nigeria

Page 1. Question 19.1b Electric Charge II Question 19.2a Conductors I. ConcepTest Clicker Questions Chapter 19. Physics, 4 th Edition James S.

The Plan. Honey, I Shrunk the Data. Why Compress. Data Compression Concepts. Braille Example. Braille. x y xˆ

Integration Continued. Integration by Parts Solving Definite Integrals: Area Under a Curve Improper Integrals

Tangram Fractions Overview: Students will analyze standard and nonstandard

In order to learn which questions have been answered correctly: 1. Print these pages. 2. Answer the questions.

Paul E. Nyren, Qingwu Xue, Ezra Aberle, Gordon Bradbury, Eric Eriksmoen, Mark

Effects of Weed Control Methods on the Growth and Yield of Cowpea (Vigna unguiculata (L.) Walp) under Rain-Fed Conditions of Owerri

Original Research Article. Essubalew Getachew Seyum

A COMPARATIVE EVALUATION OF ROOTSTOCKS FOR VALENCIA

Nefertiti. Echoes of. Regal components evoke visions of the past MULTIPLE STITCHES. designed by Helena Tang-Lim

Jonathan Turner Exam 2-10/28/03

Outline. 1 Introduction. 2 Min-Cost Spanning Trees. 4 Example

COMP108 Algorithmic Foundations

WATER STRESS AFFECTS THE GERMINATION, EMERGENCE AND GROWTH OF DIFFERENT SORGHUM CULTIVARS

QUESTIONS BEGIN HERE!

A Simple Code Generator. Code generation Algorithm. Register and Address Descriptors. Example 3/31/2008. Code Generation

MANAGEMENT OF DISEASES OF INFLORESCENCE OF MANGO

More Foundations. Undirected Graphs. Degree. A Theorem. Graphs, Products, & Relations

Using the Printable Sticker Function. Using the Edit Screen. Computer. Tablet. ScanNCutCanvas

Module 2 Motion Instructions

Weighted graphs -- reminder. Data Structures LECTURE 15. Shortest paths algorithms. Example: weighted graph. Two basic properties of shortest paths

Numbering Boundary Nodes

H. Sule and B.I. Ahmed. Department of Crop Science, Adamawa State University, P.M.B. 25 Mubi, Adamawa State, Nigeria 2

Exam 1 Solution. CS 542 Advanced Data Structures and Algorithms 2/14/2013

Similarity Search. The Binary Branch Distance. Nikolaus Augsten.

Garnir Polynomial and their Properties

DETAIL B DETAIL A 7 8 APPLY PRODUCT ID LABEL SB838XXXX ADJ FOUR POST RACK SQUARE HOLE RAIL B REVISION

Decimals DECIMALS.

a b c cat CAT A B C Aa Bb Cc cat cat Lesson 1 (Part 1) Verbal lesson: Capital Letters Make The Same Sound Lesson 1 (Part 1) continued...

Cycles and Simple Cycles. Paths and Simple Paths. Trees. Problem: There is No Completely Standard Terminology!

12/3/12. Outline. Part 10. Graphs. Circuits. Euler paths/circuits. Euler s bridge problem (Bridges of Konigsberg Problem)

5/9/13. Part 10. Graphs. Outline. Circuits. Introduction Terminology Implementing Graphs

Algorithmic and NP-Completeness Aspects of a Total Lict Domination Number of a Graph

Exploration of the variability of variable selection based on distances between bootstrap sample results

Paths. Connectivity. Euler and Hamilton Paths. Planar graphs.

N1.1 Homework Answers

Computational Biology, Phylogenetic Trees. Consensus methods

MATHEMATICS FOR MANAGEMENT BBMP1103

C-201 Sheet Bar Measures 1 inch

A B C D E F G G. Figure to support Supplementary Data Table 4 Textures of opaque minerals DR (1) 50 m (1) 50 m (5) 50 m

Soil water content during and after plant growth influence nutrient availability and microbial biomass

Analysis for Balloon Modeling Structure based on Graph Theory

ph controlled assembly of a polybutadiene poly(methacrylic acid) copolymer in water: packing considerations and kinetic limitations

Influence of Method of Supplementation on the Utilization of Supplemental Fat by Feedlot Steers. R. A. Zinn, A. Plascencia, and Y.

CS 241 Analysis of Algorithms

Outline. Computer Science 331. Computation of Min-Cost Spanning Trees. Costs of Spanning Trees in Weighted Graphs

Above. Below H&E. Above CD4. CD11b. Fluoromyelin BDA BDA BDA. Cerebral cortex. Focal lesion. Thoracic cord. Lumbar cord. Hindlimb placing score

Winter 2016 COMP-250: Introduction to Computer Science. Lecture 23, April 5, 2016

Minimum Spanning Trees

On each of them are the numbers +6, 5, +4, 3, +2, 1. The two dice are rolled. The score is obtained by adding the numbers on the upper faces.

QUESTIONS BEGIN HERE!

THE EFFECT OF SEED AND SOIL APPLIED SYSTEMIC INSECTICIDES ON APHIDS IN SORGHUM. Texas Agricultural Experiment Station, Nueces County, 2000

Breeding objectives for beef cattle in Ireland

V={A,B,C,D,E} E={ (A,D),(A,E),(B,D), (B,E),(C,D),(C,E)}

TABLE OF CONTENTS ASSEMBLY INSTRUCTIONS SHEET 1 OF 8 TABLE OF CONTENTS PAGE NUMBER DESCRIPTION B 2 PARTS LIST AND LAYOUT 3-5 PARTS A-D DETAIL DRAWINGS

Practice Test I Bonding and Geometry Name Per

Outline. Circuits. Euler paths/circuits 4/25/12. Part 10. Graphs. Euler s bridge problem (Bridges of Konigsberg Problem)

Seven-Segment Display Driver

V={A,B,C,D,E} E={ (A,D),(A,E),(B,D), (B,E),(C,D),(C,E)}

Errata for Second Edition, First Printing

CS553 Lecture Register Allocation I 3

Journal of Solid Mechanics and Materials Engineering

Section 10.4 Connectivity (up to paths and isomorphism, not including)

CEDAR ISLAND / KEATON BEACH TAYLOR COUNTY, FLORIDA POST-HURRICANE HERMINE EXAMINATION SURVEY FY16 4-FOOT PROJECT

Effect of cadmium supply levels to cadmium accumulation by Salix

WORKSHOP 6 BRIDGE TRUSS

CS61B Lecture #33. Administrivia: Autograder will run this evening. Today s Readings: Graph Structures: DSIJ, Chapter 12

Transcription:

1348 Comprison of Crss Composition of Irnin Ft-til Shp M. R. Kiynz* Animl Sin Rsrh Institut, P.O. Box, 31585-1483, Krj, Irn ABSTRACT : Most rs of shp in Irn r pt to thir gro ologil nihs whr it is likly tht thy wr lso rtifiilly slt y thir ownrs. In gnrl, most of shp rs r multipurpos prouing lms, wool n milk. To ompr th physil n hmil omposition of th rsss of tn Irnin ntiv ft-til shp rs, 243 ml lms (6-7 months of g) of tn fttil, Irnin rs of shp, Snji (S), Ghzl (G), Afshri (A), Mhrni (M), Lori (L), Lori Bkhtiri (LB), Kori Khorsn (K), Sngsri (S), Bluhi (B) n Chl (C) wr stui. Lm r group h signifint (p<.5) fft on ll th rss trits msur. Th LB n C lms show th sm liv wight whih ws signifintly (p<.5) highr thn th othr rs. Crss rssing- out prntg in S lms ws lowst (p<.5), ut not iffrnt from G lms. K n S rs show th highst (p<.5) rss rssing-out prntg. Th S lms h th highst (p<.5) ln mt prnt. Ln mt prntg ws not signifintly (p>.5) iffrnt in th G, A, M n C rs. Th S n K rs show th lowst ln mt prnt. Th S lms show th lowst (p<.5) ft prnt in thir rss, whil K n S show th highst (p<.5). Suutnous ft in K, S n B ws highr (p<.5) thn th othr rs. Lms of S, G, A n M rs h th lowst suutnous ft in thir rsss (p>.5). Intrmsulr ft ws signifintly (p<.5) lowr in M, S n C spit th ft tht this vlus wr highst in B n K lms. Th K n S rs h highst ft-til prntg (p<.5) in thir rss, whrs S n G show lowst. Lms of G, S n A rs h highr on prnt thn othr rs (p<.5). Lowst on prnt (p<.5) ws sn in K n S lms. Th rss moistur prnt ws not signifintly (p>.5) iffrnt in S, G, A, M, L n C rs. M lms show th lowst ru protin prntg n S r th highst (p<.5). Thr wr no signifint (p>.5) iffrns mong othr lm rs for this trit. Chmil ft prntg ws th sm in S, G, A, C n M rs, ut signifintly (p<.5) lowr from LB, K, S n B. Ash prnt in S, G n A h no signifint (p>.5) iffrn. Aoring to highr ln mt n lowr ft prntgs in th rss, th rnking of rs woul S, G, A, M n C. (Asin-Aust. J. Anim. Si. 5. Vol 18, No. 9 : 1348-1352) Ky Wors : Irnin Shp, Lms, Ft-til, Liv Wight, Crss Composition INTRODUCTION In Irn, r mt is ommon sour of protin. Th vrg r mt onsumption pr pit is 14 kg. Th min sours of r mt r ttl, ufflo, shp n got. Th shp popultion in Irn is 5 million, omprising 26 gnti groups. Mt proution y shp n got mounts to 57% of th totl r mt proution in th ountry. Shp r kpt for mt, wool, milk n plt (Osfoori n Fsus, 1996; FAO, 1998; Kiynz t l., 3). Most rs of shp in Irn r pt to thir gro ologil nihs whr it is likly tht thy wr lso rtifiilly slt y thir ownrs. In gnrl, most of shp rs r multipurpos prouing lms, wool n milk. Th rs r nm in rltion to thir pl of origin or th tri of th ownr. Almost ll shp rs of Irn r inignous n hv not yt n rgistr in forml ring progrms. Irn posssss rs of shp n 5 rs of gots. Approximtly 65% of th totl shp popultion is onsir pur n 35% rossr. Mor thn 96% of Irnin shp r ft-til n th rmining 4% r thin-til n smi ft-til. Zl is th * Corrsponing Author: M. R. Kiynz. Tl: +98-261- 4(4), Fx: +98-261-4413258, E-mil: kiynz@yhoo. om Riv Novmr 11, 4; Apt Mrh 14, 5 only thin-til shp rising in th ountry (Kiynz t l., 3). Th proportions of ln mt, ft n on in th rss trmins th rltiv mrit of iffrnt rs for mt proution (Fri, 1991). s of shp hv n shown to iffr signifintly in proportions of rss musl, ft n on n in thir istriution (Tylor t l., 1989; Emmjomh, 1993; Bourn, ). Informtion on th rss omposition of th ntiv shp rs in Irn is vry sr n suh informtion is ssntil in plnning ring progrms. This rport omprs th physil n hmil omposition of th rsss of tn Irnin ntiv ft-til shp rs. MATERIALS AND METHODS Animls Two hunr n forty thr ml lms (6-7 months of g) of tn ft-til, Irnin rs of shp, Snji (S), Ghzl (G), Afshri (A), Mhrni (M), Lori (L), Lori Bkhtiri (LB), Kori Khorsn (K), Sngsri (S), Bluhi (B) n Chl (C) wr stui. In rif, S, G, M, L, LB, S n B r rng shp n r mng minly unr migrtory systms with lmost no supplmntl fing ut, in fll n wintr, thy r f forg n post hrvst rls. A, K n C r mor intnsivly frm rs. Th A, K, LB n C r ig in siz (mtur ml vrg 7-9 kg) whrs G, S n L r mium (mtur

CARCASS CHARACTERISTICS OF IRANIAN FAT-TAILED SHEEP 1349 Cutting sits: 1-Btwn th 7 th vrtr of nk n 1 th vrtr of loin 2-Joint of shoulr l 3-Longitunl ut from th first ri long th loin n k to th lg utting point 4-Cut through th lst vrtr of loin (lumr) n th first til on (through th slip joint) 5-Joint of th first til on to th rss 6-Cut twn th shoulr l on (strnum) n rst on to sprt th shoulr Prts prou: 1-Nk 2-Shoulr 3-Brst & Flnk 4-Loin & Bk 5-Lg 6-Ft-til Figur 1. Sits of utting of lm rss n th prts prou. ml vrg 6-7 kg) n B, M n S r smll (mtur ml vrg 5-6 kg). Lms wr slt n purhs from th Rm Pivot Projt (RPP) in thir ring r (sprt in iffrnt prts of Country). Sltion ws s on thir hlth (oring to insption tst y vtrinrin) n g (5-7 months). Lms wr wn t 3 to 4 months of g in ll rs. Aftr wning th lms of ll rs wr f n mng minly unr rng systm with no supplmntl fing. Th nimls wr trnsfrr to th Animl Sin Rsrh Institut in Krj. Crss nlysis Tow wks ftr trnsfrring nimls of h r wr wigh n slughtr. H, ft (inluing mtrpls n mttrsls), skin, igstiv trt (mpty n full), livr, lungs, hrt, kinys, plvi, kiny n omntl fts, spln, iphrgm, n gnitl orgns, wr rmov n wigh uring rssing. Th rminr ws wigh s hot rss wight n stor in ool room t 4 C for 24 h. Th rsss wr thn split longituinlly n th right si ws us for rss msurmnts. Th lft si ws ut oring to th tritionl mtho into six iffrnt joints (nk, shoulr, riskt n flnk, loin, lgs n ft-til) (Figur 1) whih ws wigh (Kiynz, 4). Eh joint ws isst into ln mt, intrmusulr n suutnous ft, n ons. Aftr sprting ll rss tissus, totl soft tissus wr groun two tims through plts with 4 mm hols. Gr smpls (pproximtly 15 g) wr tkn for trmining moistur (using rying unr vuum t 95- C), ru protin (trmining nitrogn in Kjlhl mtho (N 6.25)), sh (y ininrtion t 6 C) n hmil ft (y Soxhlt xtrtion) oring to th AOAC, 1995. Dt nlysis Th t wr nlyz y SPSS for Winows (SPSS, 1999). Th t on omposition of h hlf rss, n th omposition of h wholsl ut s prntg of th sm omponnt in th hlf rss wr nlyz. Th fft of r on th trits unr stuy ws trmin y using F rtio tst. Mns, vrins n stnr vitions of h trit wr lult. Th signifin of th iffrns twn mns of th vrious rs ws tst with Dunn s nw multipl rng tsts (Stl n Torri, 198). RESULTS AND DISCUSSION Lm r h signifint (p<.5) fft on ll th rss trits msur (Tl 1). Lowr liv wights wr sn in M, L, S n G (p>.5) rs. Th K lms h signifintly (p<.5) highr liv wight thn th othr r groups. Th LB n C lms show th sm liv

135 M. R. KIYANZAD Tl 1. Mns (±stnr rror) of trits msur in ml lms of tn Irnin ft-til rs (rnk oring liv wight) Trits K LB C A SA B L G S M Numr of lms 25 24 32 19 23 26 25 24 25 Liv wight (kg) 46. 41.5 39.2 (8.3) 36.1 (5.5) 34.4 (5.5) 34.2.4 (3.4) 31.2 (4.4) 31. 28.8 Hot rss wight (kg) 23. 19.1 18.9 16.5 17.1 (1.5) 15.8 13.3 12.6 12.3 12.6 Ln mt (kg).6 9.4.3 (2.7) 9.1 7.7 7.8 (1.3) 6.9 7.5 7.7 6.9 Totl ft* (kg) 7.1 f 4.8 E 3.7 2.9 5.1 3.9 2.8 1.9 1.5 2.3 Suutnous ft (kg) 2.9 1.8 1.3 2. 1.8 1..6 Intrmusulr ft (kg) 1.2.8.6.5.9.9.5.4 Ft-til (kg) 1.7 1.2.9.8 1.3.4 Bon (kg) 3.6 3.4 3.6 3.4 2.7 2.8 2.4 2.9 2.7 2.4 Drssing-out % 1 5.1 45.9 47. 45.8 49.5 (2.9) 46.2 43.8 43.6 42.1 (3.1) 43.9 Ln mt % 2 47. 52.3 (7.6) 55.9 (2.7) 56.6 (2.6) 46.8 5.3 53.7 (3.) 57.6 61.2 56.5 (3.7) Totl ft % 2, * 31.1 f 25.4 19. 17.8.2 f (5.1) 25.4.9 14.4 (3.6) 11.5 18.6 (3.4) Suutnous ft % 2 12.7 (2.) 9.8 6.9 5. 11.7 11.8 (1.8) 7.6 5.6 4.7 5.8 Intrmusulr ft % 2 5.5 4.4 3. (.9) 2.8 5.2 6. 3.4 3.1 2.7 2.6 Ft-til % 2 14.8 12.6 (5.1) 9.4.4 15.1 9.2.8 6.1 (2.9) 4.5 11.1 Bon % 2 15.8 (1.7) 19.1 19.8 (2.) 21.5 16.3 (1.8) 17.9 (1.3) 19.1 22.6 (2.1) 21.8 (2.1).1 Moistur % 3 53.3 (7.9) 57.8 (11.7) 67.1 (12.3) 64.9 58.5 (17.4) 6.4 (18.7) 63.7 (.4) 69.4 (7.9) 68.5 (4.8) 7.5 (15.6) Cru protin % 3 16.9 15.1 (4.1) 15.3 (5.4) 16.9 14.6 (6.4) 14.8 (7.1) 16.5 16.1 18 (1.7) 13.4 (7.) Chmil ft % 3 28.2 (7.6) 25.8 (9.6) 16.4 16.8 25.7 (12.6) 23.5 (11.8) 18.3 12.9 (5.4) 11.9 (4.6) 14.8 (8.6) Ash % 3.9.9 1. * Inluing suutnous ft, Intrmusulr ft n ft-til. 1 Bs on liv wight. 2 Bs on ol rss wight. 3 As prnt of soft tissu. Mns within row tht o not shr ny suprsript lttrs r signifintly iffrnt t th 5 prnt proility lvl. wight whih ws signifintly (p<.5) highr thn th othr rs xpt K. Liv wight mntion y Hll () t slughtr of Suffolk (36.26 kg), Txl (35.67 kg), Shropshir (36.13 kg), Dorst Down (35 kg) n Ryln (34. kg) wn lms tlly with A, S n B rs, whil LB, K n C r hvir. Th B lms in this stuy wr hvir thn th lms of th sm rs us y Fri (1991); howvr, th M lms h stui, wr hvir thn M lms us in th prsnt stuy. Th iffrn my rlt to th iffrnt g n systm of ring of lms (th lms wr flot in his stuy). Kirton (1995) rport hot rss wights of 15 lm rs rng 12-14.9 kg for flot lms tht is tlly with S, G,, M n L, rs in this stuy. Crss rssing-out prntg in S lms ws th lowst (p<.5), ut ws not iffrnt from G rs (Figur 2). K n S rs show th highst (p<.5) rss rssing-out prntg. Sm rss prntg h sn for C, B, LB n A (p>.5). Liv wight (34.41 kg) rport y Mhgou n Erly () for Omni ml lms tlly with S, G, L, S n B rs in prsnt stuy. Howvr, hot rss prnt (53.53) in his rport is highr thn rs mntion ov n this my u to using mpty oy wight to lult rssing-out prnt inst of using full liv wight. Th S lms h th highst (p<.5) ln mt prnt (Figur 3). Ln mt prntg ws not

CARCASS CHARACTERISTICS OF IRANIAN FAT-TAILED SHEEP 1351 Drssing-out (%) Mt (%) 6 5 7 6 5 Drssing-out % K LB C A S B L G S M Figur 2. Mns of rss prntgs for th tn lm rs. Kori Khorsn (K), Lori Bkhtiri (LB), Chl (C), Afshri (A), Sngsri (S), Bluhi (B), Lori (L), Ghzl (G), Snji (S) n Mhrni (M). Ln mt % K LB C A S B L G S M Figur 3. Mns of rss ln mt prntgs for th tn lm rs. Kori Khorsn (K), Lori Bkhtiri (LB), Chl (C), Afshri (A), Sngsri (S), Bluhi (B), Lori (L), Ghzl (G), Snji (S) n Mhrni (M). signifintly (p>.5) iffrnt in G, A, M n C rs. Th S n K rs show th lowst ln mt prnt. Th S lms show th lowst (p<.5) ft prnt in thir rss, whil K n S show th highst (p<.5) (Figur 4). Suutnous ft in K, S n B ws highr (p<.5) thn th othr rs. Lms of S, G, A n M rs h lowst suutnous ft in thir rss (p>.5). Intrmsulr ft ws signifintly (p<.5) lowr in M, S n C rs ws highst in B n K lms. Th K n S rs h th highst (14.8 n 15.1% rsptivly) ft-til prntg (p<.5) in thir rss, whrs S n G show th lowst (4.5 n 6.1% rsptivly). Lms of G, S n A rs h highr on prntgs thn othr rs (p<.5) (Figur 5). Lowst on prntgs (p<.5) wr sn in th K n S lms. Emmjomh (1993) rport lssr ln mt n on prntg, ut highr ft prnt in th C r rm lms. Th iffrnt my rlt to th g of flot rm lms us in his stuy, whrs in this stuy lms wr not Ft (%) 35 25 15 5 f Totl ft % K LB C A S B L G S M flot. Kiynz, (2) rport lssr ln mt n on prntgs (44 n 14.7% rsptivly), ut highr ft prnt (36.6%) in C lms r. Diffrn woul rlt to tht th lms in his stuy wr flot. Th moistur prntg in soft tissus of rss ws not signifintly (p>.5) iffrnt in S, G, A, M, L n C rs. Howvr, LB, K, S n B show signifintly lss (p<.5) moistur prnt in th soft tissus of thir rss. M lms show th lowst ru protin prntg n th S r th highst (p<.5). Thr ws no signifint (p>.5) iffrns mong othr rs for this trit. Chmil ft prntg ws th sm in S, G, A, C n M, ut signifintly (p<.5) iffrnt from LB, K, S n B. Ash prnt in S, G n A h no signifint (p>.5) iffrn. Fri (1991) rport lowr moistur n ru protin prntgs, ut highr hmil ft prntg for M n B lms. This iffrn ws proly u to highr ft prnt in th rss of th flot lms in his stuy. f Figur 4. Mns of rss ft prntgs for th tn lm rs. Kori Khorsn (K), Lori Bkhtiri (LB), Chl (C), Afshri (A), Sngsri (S), Bluhi (B), Lori (L), Ghzl (G), Snji (S) n Mhrni (M). Bon (%) 25 15 5 Bon % K LB C A S B L G S M Figur 5. Mns of rss on prntg for th tn lm rs. Kori Khorsn (K), Lori Bkhtiri (LB), Chl (C), Afshri (A), Sngsri (S), Bluhi (B), Lori (L), Ghzl (G), Snji (S) n Mhrni (M).

1352 M. R. KIYANZAD Kiynz, (2) rport lssr moistur n ru protin prntgs (47.3 n 13.1% rsptivly), ut highr hmil ft prntgs (37.2%) in C lms r. Kirton (1995) rport moistur prntg of 15 non ft-til rs rng 51.3-53.9 tht is lssr thn rs in this stuy. Th iffrnt oul rlt to tht th lms in his stuy wr flot n fft of r. Th ru protin rport y him in iffrnt rs (rng 14.8-15.9) tlly with LB, S, B n C rs in prsnt stuy. CONCLUSION Whn th liv wights of th lms wr ompr, thy rnk K, LB, C, A, S, L, B, G, S, L, LB n C. Howvr, K n S lms show th highst rss prntg, thy h lowr ln mt prnt n highr ft prnt in thir rss. Th S r h highst ln mt n lowst ft prntgs. Lowst on prnt ws sn in K n S lms, whil th highst vlus wr foun for G, S, n A lm rs. Aoring to highr ln mt n lowr ft prntgs in th rss, th rnking of rs woul S, G, A, M n C. ACKNOWLEDGEMENTS I woul lik to thnkful for Dr. Allmh, Dirtor of Animl Sin Rsrh Institut of Irn, my o-workr Mr. Monm n workrs of Shp n Got Stion of Animl Sin Rsrh Institut for thir vi, support n frinly rltionship. REFERENCES Assoition of offiil nlytil hmists. 1995. Offiil Mthos Of Anlysis. AOAC, Wshington, DC. Bouron, R. M.. Unrstning niml ring. Prnti Hll, In USA. Emmjomh, N. 1993. Stuy on fttning potntil n rss omposition in Chll n Zni shp n thir riprol rosss. Irnin J. Agri. Si. 24(2):63-73. FAO. 1998. Foo n griultur orgniztion of th unit ntions. Qurtrly Vol. 11. Fri, A. 1991. Crss physil n hmil omposition of thr ft-til rs of shp. Mt Si. 29:9-1. Hll, S. J. G. n R. Hnrson.. Rr n minority British shp for mt proution. Smll Rumin. Rs. 35:55-63. Kirton, A. H., A. H. Crtr, J. N. Clrk, D. P. Sinlir, G. J. K. Mrr n D. M. Dugnzih. 1995. A omprison twn 15 rm rs for xport lm proution. 1) livwight, oy omponnts, rss msurmnts, n omposition. NZ. J. Agri. Rs. 38:347-36. Kiynz, M. R. 4. Using linr oy msurmnts of liv shp to prit rss hrtristis for two Irnin fttil shp rs. Asin-Aust. J. Anim. Si. 17(5):693-699. Kiynz, M. R., J. M. Pnnm, N. Emmjomh Kshn, Z. A. Jln n I. Dhln. 3. Rproutiv prformn of thr Irnin shp rs. Asin-Aust. J. Anim. Si. 16(1):11-14. Kiynz, M. R., J. M. Pnnm, N. Emmjomh Kshn, Z. A. Jln n I. Dhln. 2. Crossring of thr Irnin shp rs with mphsis on growth n rss hrtristis of th lms. PhD thsis. Univrsity Putr Mlysi. Mhgou, C. D. n R. J. Erly.. Effts of itry nrgy nsity on f intk, oy wight gin n rss hmil omposition of Omni growing lms. Smll Rumin. Rs. 37:35-42. Osfoori, R. n L. Fsus. 1996. Gnti rltionships of Irnin shp r using iohmil gnti mrkr. Arh. Tirz. Dumm Rstorf. 39:1 33-46. SPSS. 1999. SPSS for Winows. Rls.5, Stnr vrsion. Copyright@SPSS In., 1989-1999. Stl, R. G. D. n J. Torri. 198. Prinipls n prours of sttistis. M Grw Hill Book Compny. Intrntionl Eition. Tylor, S. C. S., J. I. Murry n M. L. Thonny. 1989. n sx iffrns mong qully mtur shp n got. Anim. Pro. 49:385-9.

2024 © sciencedocbox.com Privacy Policy | Terms of Service | Feedback