CN107456245A - A kind of goose liveweight evaluation method based on body surface mensurable characters - Google Patents
A kind of goose liveweight evaluation method based on body surface mensurable characters Download PDFInfo
- Publication number
- CN107456245A CN107456245A CN201710723882.8A CN201710723882A CN107456245A CN 107456245 A CN107456245 A CN 107456245A CN 201710723882 A CN201710723882 A CN 201710723882A CN 107456245 A CN107456245 A CN 107456245A
- Authority
- CN
- China
- Prior art keywords
- goose
- muscle
- thickness
- weight
- live
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 241000272814 Anser sp. Species 0.000 title claims abstract description 58
- 238000011156 evaluation Methods 0.000 title abstract description 4
- 210000002976 pectoralis muscle Anatomy 0.000 claims abstract description 63
- 210000003205 muscle Anatomy 0.000 claims abstract description 12
- 230000037396 body weight Effects 0.000 claims abstract description 10
- 210000000481 breast Anatomy 0.000 claims abstract description 9
- 238000000034 method Methods 0.000 claims description 20
- 238000004364 calculation method Methods 0.000 claims description 10
- 238000013441 quality evaluation Methods 0.000 claims description 8
- 238000005259 measurement Methods 0.000 claims description 6
- 210000000115 thoracic cavity Anatomy 0.000 claims description 6
- 238000009395 breeding Methods 0.000 abstract description 5
- 230000001488 breeding effect Effects 0.000 abstract description 5
- 238000004519 manufacturing process Methods 0.000 abstract description 4
- 241000272808 Anser Species 0.000 description 10
- 210000001562 sternum Anatomy 0.000 description 4
- 230000000875 corresponding effect Effects 0.000 description 3
- 238000003307 slaughter Methods 0.000 description 3
- 210000000038 chest Anatomy 0.000 description 2
- 239000007822 coupling agent Substances 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000001727 in vivo Methods 0.000 description 2
- 238000000611 regression analysis Methods 0.000 description 2
- 210000004003 subcutaneous fat Anatomy 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000002068 genetic effect Effects 0.000 description 1
- 235000013402 health food Nutrition 0.000 description 1
- 235000013372 meat Nutrition 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 210000001991 scapula Anatomy 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 210000002435 tendon Anatomy 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Pathology (AREA)
- Radiology & Medical Imaging (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Ultra Sonic Daignosis Equipment (AREA)
Abstract
Description
技术领域technical field
本发明涉及一种鹅活体质量评价方法，特别是一种基于体表可度量性状的鹅活体质量评价方法。The invention relates to a goose living body quality evaluation method, in particular to a goose living body quality evaluation method based on body surface measurable traits.
背景技术Background technique
扬州鹅体型适中，遗传性能稳定，以耐粗饲，适应性强、肉质鲜美、肌内蛋白含量高而闻名于世，是理想的绿色保健食品。然而在扬州鹅的选种选育过程中，为了挑选出优质的种鹅，通常是采用屠宰测定的方法评价鹅胸肌重和屠体性能，此种方法需要宰杀鹅后方可知晓鹅的种用性能，且成本高，耗时长，鹅一经屠宰就不可再做种用。Yangzhou goose is moderate in size and stable in genetic performance. It is famous for its resistance to rough feeding, strong adaptability, delicious meat and high protein content in the muscle. It is an ideal green health food. However, in the selection and breeding process of Yangzhou geese, in order to select high-quality breeding geese, the method of slaughter measurement is usually used to evaluate the goose breast muscle weight and carcass performance. This method needs to kill the goose before knowing the breeding performance of the goose , and the cost is high and time-consuming. Once the goose is slaughtered, it can no longer be used for breeding.
发明内容Contents of the invention
本发明所要解决的技术问题是提供一种基于体表可度量性状的鹅活体质量评价方法，无需再杀活鹅即可进行鹅活体质量评价。The technical problem to be solved by the present invention is to provide a live goose quality evaluation method based on measurable traits on the body surface, so that live goose quality can be evaluated without killing live goose.
为解决上述技术问题，本发明所采用的技术方案是：In order to solve the problems of the technologies described above, the technical solution adopted in the present invention is:
一种基于体表可度量性状的鹅活体质量评价方法，其特征在于包含以下步骤：A method for evaluating live goose quality based on body surface measurable traits, characterized in that it comprises the following steps:
步骤一：超声波测定活体鹅的胸肌厚度；Step 1: Ultrasonic measurement of the breast muscle thickness of live goose;
步骤二：将测的胸肌厚度结果代入相对应的预测模型；Step 2: Substituting the measured pectoral muscle thickness into the corresponding prediction model;
步骤三：计算得出鹅活体重、龙骨长和单侧胸肌重，评价鹅活体质量。Step 3: Calculate the live body weight, keel length and unilateral breast muscle weight of the goose, and evaluate the live body weight of the goose.
进一步地，所述步骤一具体为，采用全数字超声诊断系统测定第一胸椎左侧1cm的胸肌厚度，两条白色亮带之间的距离即为胸肌厚度，单位为mm。Further, the first step specifically includes measuring the thickness of the pectoralis muscle 1 cm to the left of the first thoracic vertebra by using a fully digital ultrasonic diagnostic system, and the distance between the two white bright bands is the thickness of the pectoralis muscle, and the unit is mm.
进一步地，所述步骤二的预测模型包含，Further, the prediction model in the step 2 includes,
活体重与胸肌厚度计算方法，Y1=90.39X+2162.91，其中，X为胸肌厚度，单位为mm，Y1为扬州鹅的体重，单位为g；Live weight and chest muscle thickness calculation method, Y 1 =90.39X+2162.91, where X is the chest muscle thickness in mm, Y 1 is the weight of Yangzhou goose in g;
龙骨长与胸肌厚度的计算方法，Y2=0.15X+11.77，其中X为胸肌厚度，单位为mm，Y2为扬州鹅的龙骨长，单位为cm；Calculation method of keel length and chest muscle thickness, Y 2 =0.15X+11.77, where X is the thickness of the pectoral muscle in mm, and Y 2 is the keel length of Yangzhou goose in cm;
胸肌重与胸肌厚度的计算方法，Y3=7.78X+23.71，其中X为胸肌厚度，单位为mm，Y3为扬州鹅的单侧胸肌重，单位为g。The calculation method of chest muscle weight and chest muscle thickness, Y 3 =7.78X+23.71, where X is the thickness of the pectoral muscle in mm, and Y 3 is the weight of the unilateral pectoral muscle of Yangzhou goose in g.
进一步地，所述步骤三具体为，根据计算得出的鹅活体重、龙骨长和单侧胸肌重，其中活重越大、龙骨长越长和单侧胸肌重越重的表明其生长性能越好，具有较好的鹅活体质量。Further, the step three is specifically, based on the calculated goose live weight, keel length and unilateral pectoral muscle weight, wherein the greater the live weight, the longer the keel length and the heavier the unilateral pectoral muscle weight, the better the growth performance. Well, it has better live quality of goose.
本发明与现有技术相比，具有以下优点和效果：本发明利用超声波技术测量活鹅胸肌厚度的方法评价鹅活体质量，无需进行活鹅宰杀，为扬州鹅选种提供方法依据；该方法具有操作简易方便，快速高效等优点，可用于快速评价鹅活体质量和选种选育的挑选，在鹅业生产中具有重要的指导意义。Compared with the prior art, the present invention has the following advantages and effects: the present invention uses ultrasonic technology to measure the thickness of live goose breast muscle to evaluate the live quality of goose without slaughtering live goose, and provides a method basis for Yangzhou goose selection; the method has the advantages of: The operation is simple and convenient, fast and efficient, etc. It can be used to quickly evaluate the live quality of geese and the selection of breed selection, and has important guiding significance in goose production.
附图说明Description of drawings
图1是本发明的实施例的数据表格。FIG. 1 is a data table of an embodiment of the present invention.
具体实施方式detailed description
下面通过实施例对本发明作进一步的详细说明，以下实施例是对本发明的解释而本发明并不局限于以下实施例。The present invention will be described in further detail below through examples, and the following examples are explanations of the present invention and the present invention is not limited to the following examples.
本发明的一种基于体表可度量性状的鹅活体质量评价方法，包括以下步骤：A kind of goose living body quality evaluation method based on body surface measurable trait of the present invention comprises the following steps:
步骤一：超声波测定活体鹅的胸肌厚度：取待测扬州鹅，鹅左侧胸部涂抹耦合剂，用河南多仔福农牧科技有限公司生产的A85全数字超声诊断系统测定第一胸椎左侧1cm 的胸肌厚度。拍到胸肌厚度的照片，图的上部白色亮带是皮肤及皮下脂肪，下部白色亮带是胸骨，胸骨的下部是胸腔。两条白色亮带之间的距离即为胸肌厚度，单位为mm，测量值取小数点后2位。Step 1: Ultrasonic measurement of the thickness of the pectoralis muscle of live geese: take the Yangzhou goose to be tested, apply coupling agent on the left chest of the goose, and use the A85 full-digital ultrasonic diagnostic system produced by Henan Duozi Fu Nong Husbandry Technology Co., Ltd. to measure the left 1cm of the first thoracic vertebra the thickness of the pectoral muscle. A photo of the thickness of the pectoralis muscle was taken. The upper part of the picture is the skin and subcutaneous fat, the lower white band is the sternum, and the lower part of the sternum is the chest cavity. The distance between the two white bright bands is the thickness of the pectoral muscle, the unit is mm, and the measured value is taken to 2 decimal places.
步骤二：将测的胸肌厚度结果代入相对应的预测模型：Step 2: Substitute the measured chest muscle thickness into the corresponding prediction model:
本研究已证明扬州鹅活体重、龙骨长和单侧胸肌重与活体胸肌厚度呈显著相关关系，将测的胸肌厚度结果（单位为mm）带入相对应的预测模型。This study has proved that the live body weight, keel length, and unilateral pectoral muscle weight of Yangzhou geese are significantly correlated with the thickness of the pectoral muscle in vivo, and the measured pectoral muscle thickness (in mm) was brought into the corresponding prediction model.
2.1、活体重与胸肌厚度的相关系数为0.426， P值为0.001（P<0.01），胸肌厚度与活体重成极显著正相关关系，活体重与胸肌厚度的计算方法为: Y1=90.39X+2162.91，其中X为胸肌厚度（单位为mm），Y1为扬州鹅的体重（单位为g）。2.1. The correlation coefficient between live weight and chest muscle thickness is 0.426, and the P value is 0.001 ( P <0.01). The chest muscle thickness and live weight have a very significant positive correlation. The calculation method of live weight and chest muscle thickness is: Y 1 =90.39X +2162.91, where X is the thickness of the breast muscle (in mm), and Y 1 is the weight of Yangzhou goose (in g).
2.2、龙骨长与胸肌厚度的相关系数为0.335， P值为0.013（P<0.01），龙骨长与胸肌厚度成极显著正相关关系，龙骨长与胸肌厚度的计算方法为:Y2=0.15X+11.77，其中X为胸肌厚度（单位为mm），Y2为扬州鹅的龙骨长（单位为cm）。2.2. The correlation coefficient between the keel length and the thickness of the pectoral muscle is 0.335, and the P value is 0.013 ( P <0.01). The keel length and the thickness of the pectoral muscle have a very significant positive correlation. The calculation method of the keel length and the thickness of the pectoral muscle is: Y 2 =0.15X +11.77, where X is the thickness of the pectoralis muscle (in mm), and Y 2 is the keel length of Yangzhou goose (in cm).
2.3、单侧胸肌重与胸肌厚度相关系数为0.611,P值为0.000（P<0.01），胸肌重与胸肌厚度成极显著正相关关系，胸肌重与胸肌厚度的计算方法为:Y3=7.78X+23.71，其中X为胸肌厚度（单位为mm），Y3为扬州鹅的单侧胸肌重（单位为g）。2.3. The correlation coefficient between unilateral pectoral muscle weight and pectoral muscle thickness is 0.611, and the P value is 0.000 ( P <0.01). There is a significant positive correlation between pectoral muscle weight and pectoral muscle thickness. The calculation method of pectoral muscle weight and pectoral muscle thickness is: Y 3 =7.78 X+23.71, where X is the thickness of the pectoral muscle (in mm), and Y 3 is the weight of one side of the pectoral muscle in Yangzhou goose (in g).
步骤三：评价鹅活体质量：根据计算得出的鹅活体重、龙骨长和单侧胸肌重，其中活重越大、龙骨长越长和单侧胸肌重越重的表明其生长性能越好，具有较好的鹅活体质量。Step 3: Evaluate live body weight of geese: According to the calculated live weight, keel length and unilateral pectoral muscle weight of geese, the larger the live weight, the longer the keel length and the heavier unilateral pectoral muscle weight, the better the growth performance. It has better live quality of goose.
其中，步骤二的预测模型采用SPSS软件相关回归分析得到，具体为：Among them, the prediction model in step 2 is obtained by correlation regression analysis of SPSS software, specifically:
常规饲养扬州鹅54只至70日龄，70日龄末，准确称取鹅活体重，单位为g，测量值取小数点后0位。54 Yangzhou geese were reared routinely until the age of 70 days. At the end of the 70th day, the live body weight of the geese was accurately weighed.
超声波测定活体鹅的胸肌厚度：取待测扬州鹅，鹅左侧胸部涂抹耦合剂，用河南多仔福农牧科技有限公司生产的A85全数字超声诊断系统测定第一胸椎左侧1cm 的胸肌厚度。拍到胸肌厚度的照片，图的上部白色亮带是皮肤及皮下脂肪，下部白色亮带是胸骨，胸骨的下部是胸腔。两条白色亮带之间的距离即为胸肌厚度，单位为mm，测量值取小数点后2位。Ultrasonic measurement of the thickness of the pectoral muscle of live geese: take the Yangzhou goose to be tested, apply coupling agent on the left chest of the goose, and use the A85 full-digital ultrasonic diagnostic system produced by Henan Duozi Fu Nong Husbandry Technology Co., Ltd. to measure the thickness of the pectoral muscle 1 cm from the left side of the first thoracic vertebra . A photo of the thickness of the pectoral muscle was taken. The upper part of the picture is the white bright band is the skin and subcutaneous fat, the lower white band is the sternum, and the lower part of the sternum is the chest cavity. The distance between the two white bright bands is the thickness of the pectoral muscle, the unit is mm, and the measured value is taken to 2 decimal places.
进行体尺性状测定，用卡尺或皮尺测量测定龙骨长：龙骨长为体表龙骨突前端到龙骨末端的距离。单位为mm，测量值取小数点后1位。Carry out the measurement of body size traits, measure and measure the keel length with a caliper or a tape measure: the keel length is the distance from the front end of the keel protrusion on the body surface to the end of the keel. The unit is mm, and the measured value takes 1 digit after the decimal point.
屠宰并测定单侧腿肌重，沿着胸骨脊切开皮肤并向背部剥离，用刀切离附着于胸骨脊侧面的肌肉和肩胛部肌腱，即可将整块去皮的胸肌剥离；称重，单位为g，测量值取小数点后1位。Slaughter and measure the weight of the unilateral leg muscle, cut the skin along the sternal ridge and peel it off to the back, use a knife to cut off the muscles attached to the side of the sternal ridge and the tendon of the scapula, and then peel off the whole piece of skinless pectoral muscle; weigh , the unit is g, and the measured value takes 1 digit after the decimal point.
如图所示，采用Excel 2017建立数据库，相关回归分析采用SPSS 17.0进行拟合分析。相关性采用Pearson相关分析，以P<0.05（差异显著）作为差异显著性判断标准。分别计算活体重与胸肌厚度、龙骨长与胸肌厚度、单侧胸肌重与胸肌厚度的相关系数、P值和计算公式。As shown in the figure, the database was established using Excel 2017, and the correlation regression analysis was performed using SPSS 17.0 for fitting analysis. The correlation was analyzed by Pearson correlation, and P <0.05 (significant difference) was used as the criterion for judging the significance of the difference. The correlation coefficients, P values and calculation formulas of live body weight and pectoral muscle thickness, keel length and pectoral muscle thickness, unilateral pectoral muscle weight and pectoral muscle thickness were calculated respectively.
本发明制定了通过活体测定胸肌厚度的方法评价鹅活体质量评价技术，实际生产中可利用超声波技术测量活鹅胸肌厚度的方法评价鹅活体质量，为扬州鹅选种提供方法依据。该方法具有操作简易方便，快速高效等优点，可用于快速评价鹅活体质量和选种选育的挑选，在鹅业生产中具有重要的指导意义。The present invention formulates a method for evaluating the living body quality of goose by measuring the thickness of pectoralis muscle in vivo. In actual production, the method of measuring the thickness of pectoralis muscle of live goose can be used to evaluate the live quality of goose, which provides a method basis for Yangzhou goose selection. This method has the advantages of simple and convenient operation, fast and high efficiency, etc. It can be used for rapid evaluation of goose live quality and selection of breed selection, and has important guiding significance in goose production.
本说明书中所描述的以上内容仅仅是对本发明所作的举例说明。本发明所属技术领域的技术人员可以对所描述的具体实施例做各种修改或补充或采用类似的方式替代，只要不偏离本发明说明书的内容或者超越本权利要求书所定义的范围，均应属于本发明的保护范围。The above content described in this specification is only an illustration of the present invention. Those skilled in the technical field to which the present invention belongs can make various modifications or supplements to the described specific embodiments or adopt similar methods to replace them, as long as they do not deviate from the content of the present invention specification or exceed the scope defined in the claims, all should Belong to the protection scope of the present invention.
Claims (4)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710723882.8A CN107456245A (en) | 2017-08-22 | 2017-08-22 | A kind of goose liveweight evaluation method based on body surface mensurable characters |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710723882.8A CN107456245A (en) | 2017-08-22 | 2017-08-22 | A kind of goose liveweight evaluation method based on body surface mensurable characters |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107456245A true CN107456245A (en) | 2017-12-12 |
Family
ID=60550290
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710723882.8A Pending CN107456245A (en) | 2017-08-22 | 2017-08-22 | A kind of goose liveweight evaluation method based on body surface mensurable characters |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107456245A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109287566A (en) * | 2018-09-20 | 2019-02-01 | 扬州大学 | A method for estimating the meat production of breast muscles in live goose |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070022967A1 (en) * | 2003-07-15 | 2007-02-01 | Doyle John C Ii | System and method for measuring animals |
| CN102511446A (en) * | 2011-12-15 | 2012-06-27 | 浙江省农业科学院 | Weight-based early goose selection method |
| CN102578032A (en) * | 2012-02-14 | 2012-07-18 | 中国农业科学院北京畜牧兽医研究所 | Duck body character estimating method |
| CN104381203A (en) * | 2014-10-27 | 2015-03-04 | 柳城县天福种猪场 | Seed selection method for new double muscle rump strains of large Yorkshire pigs |
| CN106755385A (en) * | 2016-12-14 | 2017-05-31 | 吉林省农业科学院 | Based on the beef cattle early stage seed choosing method that eye muscle area is first-selected proterties |
-
2017
- 2017-08-22 CN CN201710723882.8A patent/CN107456245A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070022967A1 (en) * | 2003-07-15 | 2007-02-01 | Doyle John C Ii | System and method for measuring animals |
| CN102511446A (en) * | 2011-12-15 | 2012-06-27 | 浙江省农业科学院 | Weight-based early goose selection method |
| CN102578032A (en) * | 2012-02-14 | 2012-07-18 | 中国农业科学院北京畜牧兽医研究所 | Duck body character estimating method |
| CN104381203A (en) * | 2014-10-27 | 2015-03-04 | 柳城县天福种猪场 | Seed selection method for new double muscle rump strains of large Yorkshire pigs |
| CN106755385A (en) * | 2016-12-14 | 2017-05-31 | 吉林省农业科学院 | Based on the beef cattle early stage seed choosing method that eye muscle area is first-selected proterties |
Non-Patent Citations (3)
| Title |
|---|
| 侯水生等: "北京鸭胸肌厚度与屠体性能指标的相关关系研究", 《畜牧兽医学报》 * |
| 朱峰等: "超声波法测量北京鸭皮脂性状及其与屠宰性状的相关分析", 《中国家禽》 * |
| 李花妮等: "多元回归方程估测北京鸭屠体性状的研究", 《中国畜牧杂志》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109287566A (en) * | 2018-09-20 | 2019-02-01 | 扬州大学 | A method for estimating the meat production of breast muscles in live goose |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Teixeira et al. | In vivo estimation of lamb carcass composition by real-time ultrasonography | |
| Gjerlaug-Enger et al. | Genetic parameters between slaughter pig efficiency and growth rate of different body tissues estimated by computed tomography in live boars of Landrace and Duroc | |
| Lin et al. | In vivo prediction of the carcass fatness using live body measurements in Pekin ducks | |
| Font-i-Furnols et al. | Estimation of carcass composition and cut composition from computed tomography images of live growing pigs of different genotypes | |
| CN102578032A (en) | Duck body character estimating method | |
| Sahin et al. | The use of ultrasound to predict the carcass composition of live Akkaraman lambs | |
| Peña et al. | Use of serial ultrasound measures in the study of growth-and breed-related changes of ultrasonic measurements and relationship with carcass measurements in lean cattle breeds | |
| Kleczek et al. | Multiple regression equations to estimate the content of breast muscles, meat, and fat in Muscovy ducks | |
| CN104950091A (en) | Method for quickly determining intramuscular fat content of fattening duroc landrace big white | |
| Barba et al. | The potential of non-invasive pre-and post-mortem carcass measurements to predict the contribution of carcass components to slaughter yield of guinea pigs | |
| CN109580926B (en) | Method for comprehensively identifying day age of Mount Ruizhou white ducks | |
| CN107456245A (en) | A kind of goose liveweight evaluation method based on body surface mensurable characters | |
| Duziński et al. | Factors affecting the tissues composition of pork belly | |
| Machebe et al. | Path analysis of body weight in grower and finisher pigs | |
| CN109287566A (en) | A method for estimating the meat production of breast muscles in live goose | |
| Monziols et al. | Tissue distribution in pig carcasses exhibiting large differences in their degree of leanness, with special emphasis on intermuscular fat | |
| Eyþórsdóttir | Growth and carcass characteristics of Icelandic lambs-a review | |
| Mondal et al. | Carcass characteristics and proximate composition of mithun (Bos frontalis) carcass. | |
| Pascal et al. | Estimation of genetic parameters specific to Tigaie breed reared in North-East part of Romania | |
| Radović et al. | The influence of boar breed and applied method on the meat content | |
| Ajayi et al. | Assessment of conventional and non-conventional estimation of live weight, carcass characteristics and dressing percentage of Nigerian breeds of goats as panacea for livestock entrepreneurship | |
| de Rezende et al. | Ultrasound‐Based Phenotyping for Genetic Selection of Carcass Traits in Oreochromis niloticus: Integrating Imaging Technology Into Aquaculture Breeding | |
| Banerjee | Prediction of carcass cuts using some noninvasive predictors on broiler ducks reared in hot and humid climate of Eastern India | |
| Wang et al. | Research on a beef tenderness detection method using a bionic mastication system based on a pressure sensor | |
| RU2361205C1 (en) | Method of evaluation of morphologic composition of carcass of sheep |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171212 |
|
| RJ01 | Rejection of invention patent application after publication |