برآورد آب مجازی شیر تولیدی گاو هولشتاین در استان آذربایجان شرقی تحت کشت آبی عناصر جیره‌ی غذایی

نویسندگان

1 گروه مهندسی آب دانشکده ی کشاورزی دانشگاه کردستان -سنندج-ایران

2 استاد گروه مهندسی آب، دانشکده‌ی کشاورزی، دانشگاه تبریز، تبریز، ایران

چکیده

با رشد جمعیت و افزایش نیاز به غذا، افزایش تولید محصولات کشاورزی و دامی ضروری است و استفاده‌ی بهینه از آب در فرآیند تولید از الزامات کشاورزی و دامپروری پایداراست. جهت بهینه کردن میزان آب مصرفی در تولید محصولات دامی باید به میزان آب مصرفی محصولات موجود در ترکیب جیره‌ی غذایی و مقادیر آب شرب و آب مربوط به خدمات نگهداری دام توجه شود. به این میزان آب مصرفی که در فرآیند تولید محصول دامی استفاده شده است آب مجازی محصول گفته می-شود. هدف از این تحقیق برآورد آب مجازی شیر مربوط به گاو هلشتاین در استان آذربایجان‌شرقی با در نظر گرفتن راندمان‌های آبیاری 33، 60 و 90 درصد بود. مقادیر آب مجازی مربوط به محصولات گندم، جو، ذرت علوفه‌ای، سویا، چغندر علوفه‌ای و یونجه در استان با راندمان آبیاری 33 درصد به ترتیب 2/1، 5/1، 13/0، 8/3، 2/2 و 4/2 مترمکعب در کیلوگرم محاسبه شد. بر اساس راندمان آبیاری ذکر شده میزان آب مصرفی شیر برای چهاردوره‌ی شیردهی بعد از زایش، پرشیر، متوسط شیر و کم شیر 5/1، 4/1، 4/2 و3/3 مترمکعب در کیلوگرم بدست آمد. با افزایش راندمان آبیاری از 33 به 60 و 90 درصد، آب مصرفی شیر تولیدی به ترتیب 43 و 60 درصد کاهش یافت.

کلیدواژه‌ها


عنوان مقاله [English]

Calculating Virtual Water of Holstein Milk Production in East‌ Azerbaijan under Irrigated Condition of Feed Ingredient.

نویسندگان [English]

  • sima Asgharzad Danesh 1
  • ahmad fakheri fard 2
1 water engineering department-agriculture faculty-Kurdistan university- sanandaj-Iran
2 water engineering department-agriculture faculty-Tabriz university
چکیده [English]

Population growth requires extending agriculture and ranching to meet food demand and optimizing water use is necessary for a sustainable agriculture and ranching activities. To water use optimization in livestock production procedure, Amount of water utilized in diet ingredient producing and livestock drinking and servicing water should be noted. This amount of water used to produce livestock production called virtual water of production. The aim of this paper is computing virtual water of Holstein milk production in East Azerbaijan considering three irrigation efficiency 33, 60 and 90 percent. Average virtual water content of wheat, barley, corn, soybean, beet and alfalfa were 1.2, 1.5, 0.13, 3.8, 2.2 and 2.4 cubic meters per a kilogram production by considering 33 percent irrigation efficiency. According to 33 percent of irrigation efficiency the virtual water of milk for after parturition, high yielding, average yielding and low yielding durations were 1.5, 1.4, 2.4 and 3.3 cubic meters per a kilogram production. If percentage of irrigation efficiency increased by 60 and 90, virtual water of milk would decrease 43 and 60 percent respectively.

کلیدواژه‌ها [English]

  • Virtual Water
  • Diet
  • Irrigation efficiency
  • Milk production
  • Holstein
Abbasdokht H and Marvi H, 2005. Influence of nitrogen spraying on wheat yield and yield components. Iranian Journal of Agriculture Science 36: 1325-1331. (In Persian with English abstract).
Aghaei M, Fotokian M and Shahverdi M, 2015. Assessment of yield quantity and quality in intercropping of sorghum with soybean and green bean. Journal of Agricultural Science and Sustainable Production 25: 115-130. (In Persian with English abstract).
Ahmadi A, 2016. Determination and comparison of two species halophytes Puccinella bulbosa and Littoralis aeluropus nutrient values in rangelands of Meghan wetland of Irak province. Journal of Wetland Ecobiology 29: 15-26. (In Persian with English abstract).
Alamzade B and Seraj M, 2003. Using different amount of sugarcane shoot tip silage in dairy cows’ diet. Paguhesh va Sazandegi 16: 20-24. (In Persian with English abstract).
Allan T, 1998. Virtual water: A long term solution for water short middle eastern economics? British Association Festival of Science. September, London.
Allan RG, Pereira LS, Raes D and Smith M, 1998. FAO irrigation and drainage paper No.56. FAO, Water Resources, Development and Management Service. Italy.
Alizade A, 2005. Irrigation System Design. Emam Reza Press. Mashhad.
Arabiyazdi A, Alizade A and Mohammadian F, 2009. Study on ecological water footprint in agricultural section of Iran. Journal of Water and Soil 23: 1-15. (In Persian with English abstract).
Arabiyazdi A, Niknia N, Majidi N and Emami H, 2015. Water security assessment in arid climates based on water footprint concept (case study south Khorasan province). Iranian Journal of Irrigation and Drainage 8: 735-746. (In Persian with English abstract).
Babazade H and Saraee M, 2012. Evaluating agriculture condition of Hormozghan province according to virtual water. Journal of Water Research in Agriculture 26: 485-499. (In Persian with English abstract).
Baghestany A, Mehrabi H, Zare M and Sherafatmand H, 2010. Application of the concept of virtual water in water resources management of Iran. Iran Water Resources Research 6: 28-38. (In Persian with English abstract).
Bosire CK, Ogutu JO, Said MY, Krol MS, Leeuw J and Hoekstra AY, 2015. Trends and spatial variation in water and land footprints of meat and milk production systems in Kenya. Agriculture. Ecosystems and Environment 205: 36-47.
Chapagain AK and Hoekstra AY, 2003. Virtual Water Flows Between Nations in Relation to Trade in Livestock and Livestock Products. UNESCO-IHE. The Netherlands.
Duarte R, Pinilla V and Servano A, 2015. Understanding agriculture virtual water flows in the world from an economic perspective. A long term studies. Ecological Indicators 61: 980-990.
Ehsani M, Khaledi H and Barghi Y, 2008. Introduction to Virtual Water. Iranian National Committee on Irrigation and Drainage. Tehran.
Eshraghi R, Pursaeed A, Chaharsughi H and Eshraghi F, 2009. Effective factors on increasing irrigated wheat yield. (case study Ilam province). Journal of Crop Ecophysiology 3: 71-81. (In Persian with English abstract).
Fiezabadi A and Azizi M, 2012. Effect of different crop rotation systems on wheat productivity in cold Agro-climatic region of Khorasan-e-Razavi in Iran. Seed and Plant Production Journal 28: 261-275. (In Persian with English abstract).
Forudi F, 2013. General Animal Husbandry. Payam Noor Press. Tehran.
Fracasso A, 2014. A gravity model of virtual water trade. Ecological Economics 108: 215-228.
Hanasaki N, Inuzuka T, Kanae S and Oki T, 2010. An estimation of global virtual water flow and sources of water withdrawal for major crops and livestock products using a global hydrological model. Journal of Hydrology 384: 232-244.
Jafari Nejad A, Alizadeh A and Neshat A, 2013. Study on ecological water footprint and indicators of virtual water in agricultural section of Kerman province. Iranian of Irrigation and Water Engineering 4: 80-89. (In Persian with English abstract).
Liu J, Sun S, Wu P, Wang Y and Zhao X, 2015. Inter country virtual water flows of the Hetao irrigation district, china: A new perspective for water scarcity. Journal of Arid Environments 119: 31-40.
Omidi F and Homaee M, 2015. Driving crop production functions to estimate wheat virtual water and irrigation water price. Cereal Research 5: 131-143. (In Persian with English abstract).
Mekonnen M and Hoekstra AY, 2010. The Green, Blue and Grey Water Footprint of Crops and Derived Crop Products. UNESCO-IHE. The Netherlands.
Mekonnen M and Hoekstra AY, 2012. A global assessment of the water footprint of farm animal products. Ecosystems 15: 401-415.
Montazer A, Zadbagher E and Heydari N, 2009. An assessment model for the virtual water of irrigation networks using analytical hierarchy process. Journal of Water and Soil 23: 77-89. (In Persian with English abstract).
Monshadi H, Niksokhan M and Ardestani M, 2013. Estimating virtual water of watershed and its role in inter basin water transferring systems. Water Resource Engineering 19: 101-114. (In Persian with English abstract).
Nanadegani M, Parsinejad M, Araghinejad SH and Bavani A, 2011. Study on climate change effect on net irrigation requirement and yield for rainfed wheat (case study: Behshahr). Journal of Water and Soil 25: 389-397. (In Persian with English abstract).
Renault D, 2002. Value of Virtual Water in Food: Principles and Virtues. UNESCO-IHE. The Netherlands.
Shaver R, 2010. Factors influencing feed efficiency in dairy cattle. Mid-South Ruminants Nutrition Conference. 43-50 Arlington, Texas.    
Sultana MN, Uddin MM, Ridoutt BG and Peters KJ, 2014. Comparison of water use in global milk production for different typical farms. Agricultural Systems 129: 9-21.