cce summer internship poster 2016

1
Using Estrous Synchroniza2on and Ar2ficial Insemina2on to Increase Compe2veness and Profitability of Beef Farms Dennis J. A2yeh, Michael J. Baker 1 and Nancy I. Glazier 2 1 Cornell University Department of Animal Science Senior Extension Associate, 2 Northwest New York (NWNY) Dairy, Livestock and Field Crops Team Extension Support Specialist Estrous synchroniza2on (ES) allows for estrous cycle manipula2on so all animals come into heat at the same period of 2me, allowing for the use of ar2ficial insemina2on (AI) in an efficient and effec2ve manner. ES and AI of beef caVle has shown to: 1. increase gene2c quality of progeny and 2. be economically compe22ve with natural service (NS) While this technology is size neutral, it has not been well adopted in the beef industry. 1. Evaluate the value of breeding caVle with ES and AI versus NS 2. Assist in ar2ficially breeding caVle 3. Learn to AI caVle and apply estrous synchroniza2on protocols 4. Perform daily farm tasks such as feeding caVle and fixing fence Assump2ons made for the analysis: 1) numeric values were based off of New York State (NYS) averages and current market prices, 2) weaning weight was the only Expected Progeny Difference (EPD) value calculated, 3) breeding season starts early in the year. Three different sized herds were accounted for in this study: 1) 13 head herd (NYS average), 25 head herd and 50 head herd. Cow and calf expenses were calculated and subtracted from the calf sale receipts, giving the net return from NS and ES/AI. NS and ES/AI calcula2ons included 1 st and 2 nd services. Analysis of economics between NS and ES/AI was adapted from Mississippi State Extension “Economic Comparisons of Ar/ficial Insemina/on vs. Natural Ma/ng for Beef Ca<le Herds.” The expenses for ES and AI decreased as the herd size increased. This results from the distribu2on of expenses over more head of caVle. Similarly, calf sale receipts and net return increased with an increase in herd size. Higher returns occurred with increased herd size and higher weaning weights for ES and AI herds. The expenses of ES and AI were greater than NS with the 13 and 25 head herd (Tables 1 and 2) but were less in a 50 head herd (Table 4). Calf receipts and net returns for the 13 and 25 head herd were less than the NS herds (Tables 1 and 2) but 50 head herd calf receipts and net returns were greater than NS herds (Table 4). Based on this study, using ES and AI for smaller herds may not be profitable for beef producers. However, these reproduc2ve prac2ces should not be viewed as a financial burden, but as a means to improve the overall performance of the herd. With 2me, the value of gene2c improvement in the herd can outweigh the cost of ES and AI. Introduc2on Objec2ves Discussion Methods Conclusion Results I would like to give a special thanks to Dr. David Wilson for showing me the ropes on his beef farm and Calvin Crosby for teaching me to ar2ficially inseminate caVle. For further ques2ons, contact Dennis A2yeh (dja[email protected]). Acknowledgements and Contact Informa2on References Mississippi State University Extension (2016). Economic Comparisons of Ar/ficial Insemina/on vs. Natural Ma/ng for Beef Ca<le Herds. Publica2on 2468 (POD0116). Table 1. Budget assump2ons made for the economic analysis of NS versus ES and AI Table 2. Evalua2on of 13 head herd for NS versus ES and AI Table 3. Evalua2on of 25 head herd for NS versus ES and AI Table 4. Evalua2on of a 50 head herd for NS versus ES and AI AI Technique 1. 3. 5. 7. 2. 4. 6. 8.

Upload: dennis-atiyeh

Post on 15-Apr-2017

21 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: CCE Summer Internship Poster 2016

   

               

     

                                                   

Using  Estrous  Synchroniza2on  and  Ar2ficial  Insemina2on  to  Increase  Compe2veness  and  Profitability  of  Beef  Farms    

Dennis  J.  A2yeh,  Michael  J.  Baker1  and  Nancy  I.  Glazier2  1  Cornell  University  Department  of  Animal  Science  Senior  Extension  Associate,  2  Northwest  New  York  (NWNY)  Dairy,  Livestock  and  Field  Crops  Team  Extension  Support  Specialist  

   

 •  Estrous  synchroniza2on  (ES)  allows  for  estrous  cycle  

manipula2on  so  all  animals  come  into  heat  at  the  same  period  of  2me,  allowing  for  the  use  of  ar2ficial  insemina2on  (AI)  in  an  efficient  and  effec2ve  manner.  

•  ES  and  AI  of  beef  caVle  has  shown  to:  1.   increase  gene2c  quality  of  progeny  and  2.   be  economically  compe22ve  with  natural  service  

(NS)  •  While  this  technology  is  size  neutral,  it  has  not  been  well  

adopted  in  the  beef  industry.  

   

1.  Evaluate  the  value  of  breeding  caVle  with  ES  and  AI  versus  NS  

2.  Assist  in  ar2ficially  breeding  caVle    3.  Learn  to  AI  caVle  and  apply  estrous  synchroniza2on  

protocols    4.  Perform  daily  farm  tasks  such  as  feeding  caVle  and  fixing  

fence    

   

 •  Assump2ons  made  for  the  analysis:  1)  numeric  values  

were  based  off  of  New  York  State  (NYS)  averages  and  current  market  prices,  2)  weaning  weight  was  the  only  Expected  Progeny  Difference  (EPD)  value  calculated,  3)  breeding  season  starts  early  in  the  year.  

•  Three  different  sized  herds  were  accounted  for  in  this  study:  1)  13  head  herd  (NYS  average),  25  head  herd  and  50  head  herd.  

•  Cow  and  calf  expenses  were  calculated  and  subtracted  from  the  calf  sale  receipts,  giving  the  net  return  from  NS  and  ES/AI.    

•  NS  and  ES/AI  calcula2ons  included  1st  and  2nd  services.    •  Analysis  of  economics  between  NS  and  ES/AI  was  

adapted  from  Mississippi  State  Extension  “Economic  Comparisons  of  Ar/ficial  Insemina/on  vs.  Natural  Ma/ng  for  Beef  Ca<le  Herds.”    

   

•  The  expenses  for  ES  and  AI  decreased  as  the  herd  size  increased.  This  results  from  the  distribu2on  of  expenses  over  more  head  of  caVle.    

•  Similarly,  calf  sale  receipts  and  net  return  increased  with  an    increase  in  herd  size.  Higher  returns  occurred  with  increased  herd  size  and  higher  weaning  weights  for  ES  and  AI  herds.  

•  The  expenses  of  ES  and  AI  were  greater  than  NS  with  the  13  and  25  head  herd  (Tables  1  and  2)  but  were  less  in  a  50  head  herd  (Table  4).    

•  Calf  receipts  and  net  returns  for  the  13  and  25  head  herd  were  less  than  the  NS  herds  (Tables  1  and  2)  but  50  head  herd  calf  receipts  and  net  returns  were  greater  than  NS  herds  (Table  4).    

   

 •  Based  on  this  study,  using  ES  and  AI  for  smaller  herds  may  

not  be  profitable  for  beef  producers.  However,  these  reproduc2ve  prac2ces  should  not  be  viewed  as  a  financial  burden,  but  as  a  means  to  improve  the  overall  performance  of  the  herd.    

•  With  2me,  the  value  of  gene2c  improvement  in  the  herd  can  outweigh  the  cost  of  ES  and  AI.    

Introduc2on  

Objec2ves  

Discussion  

Methods  

Conclusion  

Results  

       I  would  like  to  give  a  special  thanks  to  Dr.  David  Wilson  for  showing  me  the  ropes  on  his  beef  farm  and  Calvin  Crosby  for  teaching  me  to  ar2ficially  inseminate  caVle.  For  further  ques2ons,  contact  Dennis  A2yeh  ([email protected]).  

Acknowledgements  and  Contact  Informa2on    

References      Mississippi  State  University  Extension  (2016).  Economic  

 Comparisons  of  Ar/ficial  Insemina/on  vs.  Natural    Ma/ng  for  Beef  Ca<le  Herds.  Publica2on  2468    (POD-­‐01-­‐16).  

Table  1.  Budget  assump2ons  made  for  the  economic  analysis  of  NS  versus  ES  and  AI  

Table  2.  Evalua2on  of  13  head  herd  for  NS  versus  ES  and  AI  

Table  3.  Evalua2on  of  25  head  herd  for  NS  versus  ES  and  AI  

Table  4.  Evalua2on  of  a  50  head  herd  for  NS  versus  ES  and  AI  

AI  Technique  

1.                3.                5.                7.    

2.                4.                6.                8.