研究论文 RESEARCH PAPER

渝州白鹅剩余采食量测定及其与饲料利用效率相关性状的相关分析

  • 李琴 ,
  • 赵献芝 ,
  • 王丽辉 ,
  • 张克山 ,
  • 谢友慧 ,
  • 李静 ,
  • 王启贵
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  • 1. 重庆市畜牧科学院, 重庆 402460;
    2. 重庆市肉鹅遗传改良工程技术研究中心, 重庆 402460
李琴(1978—),女,重庆铜梁人,研究员,博士,主要从事家禽遗传育种与养殖技术研究。E-mail:liqin117@126.com

收稿日期: 2022-03-31

  网络出版日期: 2022-11-14

基金资助

重庆市科研机构绩效奖励引导专项(cstc2020jxjlX0005,cstc2021jxjlX0011);重庆市技术创新与应用发展项目(cstc2021ycjh-bgzxm0248);财政部和农业农村部——国家现代农业产业技术体系资助

Determination of Residual Feed Intake and Analysis of Its Correlation with Feed Utilization Efficiency Correlated Traits of Yuzhou Geese

  • LI Qin ,
  • ZHAO Xianzhi ,
  • WANG Lihui ,
  • ZHANG Keshan ,
  • XIE Youhui ,
  • LI Jing ,
  • WANG Qigui
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  • 1. Chongqing Academy of Animal Science, Chongqing 402460, China;
    2. Chongqing Engineering Research Center of Goose Genetic Improvement, Chongqing 402460, China

Received date: 2022-03-31

  Online published: 2022-11-14

摘要

本试验旨在研究肉鹅剩余采食量(RFI)及其与体重(BW)、采食量(FI)、平均日增重(ADG)、饲料转化率(FCR)的关系。采用单笼饲养方法,在饲粮代谢能水平为12.13 MJ/kg、粗蛋白质含量为17.25%的营养水平下,测定240只渝州白鹅Ⅲ系公鹅3、4、6、8、10周龄的FI和BW,获得了3~4周龄、4~6周龄、6~8周龄、8~10周龄、3~6周龄、4~8周龄、3~8周龄、3~10周龄试验鹅的RFI、FI、ADG、FCR及各性状间的相关系数。结果显示:在各测定阶段,试验鹅RFI变异大,其中4~8周龄RFI最高为2 157.02 g,最低为-2 482.46 g,3~8周龄RFI最高为2 675.55 g,最低为-2 476.00 g,3~10周龄RFI最高为1 845.27 g,最低为-2 488.97 g,表明RFI的选择空间大;试验鹅各阶段RFI与FI几乎均呈正相关,其中3~10周龄RFI与FI的相关系数为0.689(P<0.01),提示RFI的选择可影响FI;试验鹅各阶段RFI与FCR呈正相关,其中3~6周龄、4~8周龄、3~8周龄、3~10周龄试验鹅RFI与FCR间的相关系数分别为0.701、0.604、0.651和0.572(P<0.01),表明RFI可以有效反映鹅的饲料利用效率;4~8周龄、3~8周龄试验鹅RFI与全期(3~10周龄) FCR的相关系数分别为0.422、0.525(P<0.01),表明4~8周龄、3~8周龄试验鹅RFI能够较好反映全期的FCR。试验鹅各阶段RFI与BW、ADG不存在显著相关(P>0.05)或存在较低的显著或极显著负相关(P<0.05或P<0.01),表明RFI的选择基本不受BW或ADG的影响。由此得出,在饲粮代谢能水平为12.13 MJ/kg、粗蛋白质含量为17.25%的营养水平下,各阶段试验鹅RFI变异大,与FI、FCR呈正相关,与BW、ADG不存在显著相关或存在较低的负相关,对RFI进行选择可影响FI而不影响BW或增重,可有效改善渝州白鹅的饲料利用效率。

本文引用格式

李琴 , 赵献芝 , 王丽辉 , 张克山 , 谢友慧 , 李静 , 王启贵 . 渝州白鹅剩余采食量测定及其与饲料利用效率相关性状的相关分析[J]. 动物营养学报, 2022 , 34(11) : 6984 -6993 . DOI: 10.3969/j.issn.1006-267x.2022.11.019

Abstract

The purpose of this experiment was to study on the residual feed intake (RFI) and the relationships between RFI and body weight (BW), feed intake (FI), average daily gain (ADG), feed conversion ratio (FCR) of geese. At the nutritional level of 12.13 MJ/kg of dietary metabolic energy and 17.25% of crude protein, the FI and BW of 240 Ⅲ line Yuzhou white male geese at the 3rd, 4th, 6th, 8th and 10th week of age were measured by single cage feeding method. The RFI, FI, ADG, FCR and the correlation coefficients between these traits of geese at 3 to 4 weeks of age, 4 to 6 weeks of age, 6 to 8 weeks of age, 8 to 10 weeks of age, 3 to 6 weeks of age, 4 to 8 weeks of age, 3 to 8 weeks of age, 3 to 10 weeks of age were obtained. The results showed that the RFI varied widely at each measurement phase of geese, the highest value was 2 157.02 g and the lowest value was -2 482.46 g at 4 to 8 weeks of age, the highest value was 2 675.55 g and the lowest value was -2 476.00 g at 3 to 8 weeks of age, and the highest value was 1 845.27 g and the lowest value was -2 488.97 g at 3 to 10 weeks of age, indicating that the selection space of RFI was large. There was almost a positive correlation between RFI and FI in each test stage, and the correlation coefficients between RFI and FI of geese at 3 to 10 weeks of age was 0.689 (P<0.01), indicating that the selection of RFI could affect FI. There was a positive correlation between RFI and FCR in each test stage of geese, and the correlation coefficients between RFI and FCR at 3 to 6 weeks of age, 4 to 8 weeks of age, 3 to 8 weeks of age, 3 to 10 weeks of age were 0.701, 0.604, 0.651 and 0.572 (P<0.01), respectively, suggesting that RFI could effectively reflect the feed utilization efficiency of geese. The correlation coefficients between RFI at 4 to 8 weeks of age and 3 to 8 weeks of age and FCR in the whole period (3 to 10 weeks of age) were 0.422 and 0.525 (P<0.01), respectively, indicating that the RFI at 4 to 8 weeks of age and 3 to 8 weeks of age could better reflect the FCR in the whole period. There was no significant correlation (P>0.05) or a low significant or extremely significant negative correlation (P<0.05 or P<0.01) between RFI and BW, ADG of geese in each test stage, indicating that the selection of RFI was almost unaffected by BW or ADG. In conclusion, at the nutritional level of 12.13 MJ/kg of dietary metabolic energy and 17.25% of crude protein, the variation of RFI of geese is large in different test stages, and the RFI is positively correlated with FI and FCR. There is no significant or a low negative correlation between RFI and BW, ADG. The selection of RFI can affect the FI without affecting the BW or weight gain, and effectively improve the feed utilization efficiency of Yuzhou white geese.

参考文献

[1] NKRUMAH J D, BASARAB J A, PRICE M A, et al.Different measures of energetic efficiency and their phenotypic relationships with growth, feed intake, and ultrasound and carcass merit in hybrid cattle[J].Journal of Animal Science, 2004, 82(8):2451-2459.  
[2] KOCH R M, SWIGER L A, CHAMBERS D, et al.Efficiency of feed use in beef cattle[J].Journal of Animal Science, 1963, 22(2):486-494.  
[3] BASSO B, BORDAS A, DUBOS F, et al.Feed efficiency in the laying duck:appropriate measurements and genetic parameters[J].Poultry Science, 2012, 91(5):1065-1073.  
[4] 张云生, 杜艳芝, 郭占宝, 等.北京鸭剩余采食量及饲料报酬遗传参数估计的研究[C]//第十五次全国家禽学术讨论会论文集.广州:中国畜牧兽医学会, 2011:225-229. ZHANG Y S, DU Y Z, GUO Z B, et al.Genetic parameters for residual feed intake and feed conversion ratio in Pekin duck[C]//Proceedings of the Fifteenth National Poultry Symposium.Guangzhou:Chinese Association of Animal Science and Veterinary Medicine, 2011:225-229.(in Chinese)
[5] FAURE J, LEFAUCHEUR L, BONHOMME N, et al.Consequences of divergent selection for residual feed intake in pigs on muscle energy metabolism and meat quality[J].Meat Science, 2013, 93(1):37-45.  
[6] ZHANG Y S, XU Y X, FAN W L, et al.Relationship between residual feed intake and production traits in a population of F2 ducks[J].The Journal of Poultry Science, 2019, 56(1):27-31.  
[7] YANG L, WANG X L, HE T T, et al.Association of residual feed intake with growth performance, carcass traits, meat quality, and blood variables in native chickens[J].Journal of Animal Science, 2020, 98(7):skaa121.
[8] 李晶.白羽肉鸡剩余采食量选育效果分析[D].硕士学位论文.佛山:佛山科学技术学院, 2020:21-23. LI J.Analysis of selection effects of residual feed intake in broilers[D].Master's Thesis.Foshan:Foshan University, 2020:21-23.(in Chinese)
[9] AGGREY S E, KARNUAH A B, SEBASTIAN B, et al.Genetic properties of feed efficiency parameters in meat-type chickens[J].Genetics Selection Evolution, 2010, 42(1):25.
[10] 张云生.北京鸭RFI性状遗传参数分析及应用研究[D].博士学位论文.杨凌:西北农林科技大学, 2018:19-23. ZHANG Y S.The genetics parameters estimation of residual feed intake and practical application in Pekin duck[D].Ph.D.Thesis.Yangling:Northwest A & F University, 2018:19-23.(in Chinese)
[11] 边蓓蕾, 郝金平, 杨方喜, 等.北京鸭采食行为及其剩余采食量与部分经济性状的相关研究[J].中国家禽, 2014, 36(16):8-11. BIAN B L, HAO J P, YANG F X, et al.Study on feeding behavior and the relationship between residual feed intake and some economic traits in Peking ducks[J].China Poultry, 2014, 36(16):8-11.(in Chinese)
[12] 李琴, 钟航, 彭祥伟, 等.四川白鹅生长发育规律及体重生长曲线拟合与分析[J].中国家禽, 2018, 40(22):52-54. LI Q, ZHONG H, PENG X W, et al.Fitting and analysis of growth law and body weight curve for Sichuan white goose[J].China Poultry, 2018, 40(22):52-54.(in Chinese)
[13] 许晨光.不同遗传基础鹅生长发育规律及主要生产性能的研究[D].硕士学位论文.长春:吉林农业大学, 2019:16-18. XU C G.Comparison of growth and development and main productive performances in goose with different genetic basis[D].Master's Thesis.Changchun:Jilin Agriculture University, 2019:16-18.(in Chinese)
[14] REYNOLDS C K, CROMPTON L A, MILLS J A N.Improving the efficiency of energy utilisation in cattle[J].Animal Production Science, 2010, 51(1):6-12.
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