chăn nuôi heo ở việt nam

... hạt giống, thức ăn chăn nuôi và thuỷ sản, giống heo, gà và thủy sản, thiết bị chăn nuôi và nuôi trồng thủy sản, nuôi gia công heo, gà và chế biến thực phẩm. - Năm 1986 : Việt Nam thực hiện chính ... dựng nhà máy thức ăn gia súc ở tỉnh Bình Dương. - Năm 2008 : Công ty TNHH Chăn Nuôi CP Việt Nam đã chính thức chuyển đổi thành Công ty Cổ Phần Chăn Nuôi CP Việt Nam cho đến nay. 1.2. Đặc điểm ... Yên, Nam Định, Nam Hà, Thái Bình, Ninh Bình ) 1.3. Đặc điểm bộ máy tổ chức của đơn vị - Đặc điểm phân cấp quản lý của Công ty cổ phần chăn nuôi C.P. Việt Nam Tập đoàn Charoen Pokphand Việt Nam...

... kinh doanh tại Việt Nam hiện nay bao gồm: hạt giống, thức ăn chăn nuôi và thủy sản, giống heo, gà và thủy sản, thiết bị chăn nuôi và nuôi trồng thủy sản, chăn nuôi gia công heo, gà và chế biến ... Mở rộng doanh nghiệp ñầu tư như sau: Về chăn nuôi: Thiết lập 3 nhà máy sản xuất ấp trứng và nhà máy nuôi súc vật ở tỉnh ðồng Nai. Về nuôi trồng thủy sản: Thành lập nhà máy sản xuất tôm giống ở ... XÍCH COCKTAIL HEO XÔNG KHÓI TẠI CÔNG TY CỔ PHẦN CHĂN NUÔI CP VIỆT NAM phanquangthoai@yahoo.com- upload • Tiến hành: Khởi ñộng máy, chọn trương trình số 3 cài ñặt cho cocktail heo xông khói....

... hạt giống, thức ăn chăn nuôi và thủy sản, giống heo, gà và thủy sản, thiết bị chăn nuôi và nuôi trồng thủy sản, nuôi gia công heo, gà và chế biến thực phẩm. Năm 2007, C.P Việt Nam đã xây dựng ... cổ phần chăn nuôi C.P Việt Nam để tiến hành nghiên cứu. 1.2. MỤC TIÊU NGHIÊN CỨU 1.2.1. Mục tiêu chung Phân tích tình hình tiêu thụ sản phẩm tại công ty cổ phần chăn nuôi C.P Việt Nam chi nhánh ... nghiệp. Trong đó, công ty cổ phần chăn nuôi C.P Việt Nam là một công ty chuyên sản xuất thức ăn phục vụ cho ngành chăn nuôi. Cũng như các công ty khác, C.P Việt Nam luôn quan tâm và không ngừng...

... trong vài giờ đầu tăng 10 – 20 mg/l, sau đó giảm dần ở thời gian tiếp theo. Chương 4 Nghiên cứu xử lý nước thải chăn nuôi heo ở trại Xuân Thọ III bằng quá trình lọc sinh học ... N-NH 3 ở các nồng độ khác nhau Đồ thị 4.4: Hiệu quả xử lý N-NH 3 ở các nồng độ khác nhau Chương 4 Nghiên cứu xử lý nước thải chăn nuôi heo ở trại Xuân ... biến đổi COD ở các nồng độ khác nhau Đồ thị 4.2: Hiệu quả xử lý COD ở các nồng độ khác nhau Chương 4 Nghiên cứu xử lý nước thải chăn nuôi heo ở trại Xuân Thọ...

... Kết luận 5.1.1 Một số kết quả thu được sau khi khảo sát thực tế hệ thống xử lý nước thải chăn nuôi heo của trại 9 Hiệu quả loại bỏ COD và cặn lơ lửng trong bể biogas khá cao: loại được 59% ... của quá trình 5.2 Hướng phát triển luận văn 9 Khảo sát ảnh hưởng của sự tích lũy cặn trong quá trình xử lý. 9 Khảo sát ảnh hưởng của N-NH 3 đến hiệu quả xử lý của quá trình. ...

... nhóm heo lai 4 máu, có nguồn gốc từ các công ty chăn nuôi lớn như Công ty Cổ phần Chăn nuôi CP Việt Nam, Công ty Cổ phần Green Feed Việt Nam, Trung tâm giống Sóc Trăng (6,42%), rồi heo lai ... cho heo ăn. Phạm Thi Liên Phương et al. (2010) cho rằng có khoảng 77% nông hộ sử dụng TĂHH trong chăn nuôi heo thịt ở miền Nam. Bảng 5: Tình hình sử dụng thức ăn dựa theo qui mô chăn nuôi, ... trưởng, đồng thời tăng tiêu tốn thức ăn trong giai đoạn đó. Có đến 84,49% hộ chăn nuôi cho heo ăn tự do, thường gặp ở các hộ chăn nuôi nhỏ. Heo được cho ăn định mức chiếm 15,51% chủ yếu ở...

... hộ chăn nuôi heo ở thành phố Cần Thơ. (1) Hộ chăn nuôi: Đây chính là thành phần chính trong mô hình và cũng là thành phần chịu tác động chủ yếu của rủi ro trong chăn nuôi. Nông hộ chăn nuôi ... ngành chăn nuôi heo như Nhà nước, nhà khoa học, nhà cung ứng, nhà thu mua, tổ chức tín dụng, công ty bảo hiể m và hộ chăn nuôi nhằm giảm thiểu rủi ro trong sản xuất của hộ chăn nuôi heo, góp ... heo, góp phần phát triển ngành chăn nuôi heo ở thành phố Cần Thơ. 1 ĐẶT VẤN ĐỀ Chăn nuôi heo là một trong những hoạt động sản xuất nông nghiệp phổ biến ở địa bàn thành phố Cần Thơ cùng...

... người lao động tại Công ty cổ phần Chăn Nuôi C.P. Việt Nam giữa Nam và Nữ. Ta sẽ sử dụng kết quả kiểm định t ở phần Equal variances assumed trong kiểm định T-test ở bảng 4.15. Trong kiểm định T-test, ... phần vào hệ thống thang đo lường các yếu tố ảnh hưởng đến mức độ thỏa mãn trong công việc của người lao động tại Công ty cổ phần Chăn Nuôi CP Việt Nam. Về mô hình lý thuyết: Mô hình nghiên cứu ... của người lao động theo các đặc trưng cá nhân được đề cập trong nghiên cứu. 5.3 MỘT SỐ GIẢI PHÁP NÂNG CAO MỨC ĐỘ THỎA MÃN CỦA NHÂN VIÊN CÔNG TY CỔ PHẦN CHĂN NUÔI CP VIỆT NAM. Từ những kết...

... phần Chăn nuôi C.P. Việt Nam – Chi nhánh SXKD Thức ăn thủy sản chuyên sản xuất kinh doanh thức ăn thủy sản gồm thức ăn Nuôi tôm, nuôi cá. 1.2.2. Nhiệm vụ của công ty - Sản xuất kinh doanh theo ... GIẢI PHÁP KHẮC PHỤC NHỮNG TỒN TẠI TRONG CÔNG TÁC KẾ TOÁN THUẾ GTGT TẠI CÔNG TY CỔ PHẦN CHĂN NUÔI C.P. VIỆT NAM CHI NHÁNH SXKD THỨC ĂN THỦY SẢN 3.1. Nhận xét về công tác kế toán thuế GTGT tại Công ... nhằm khắc phục những tồn tại trong công tác kế toán thuế tại Công ty Công ty Cổ phần Chăn nuôi C.P. Việt Nam- Chi nhánh SXKD Thức ăn thủy sản là một đơn vị có quy mô lớn và có uy tín trên thị...

... BảnBản làlà đấtđất nướcnước nhậpnhập khẩukhẩu thịtthịt heoheo TÌNH HÌNH DỊCH BỆNH VÀ TÌNH HÌNH DỊCH BỆNH VÀ CHĂN NUÔI HEO Ở NHẬT BẢNCHĂN NUÔI HEO Ở NHẬT BẢN BSTY. TS. Satoshi Otake Swine Extension ... NGÀNH CHĂN NUÔI HEONGÀNH CHĂN NUÔI HEO Ở NHẬT BẢN Ở NHẬT BẢN Sản lượng thịt heo nhập khẩu vào Nhật Bản - 100,000 200,000 300,000 ... 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ÁC DỊCH BỆNH TRÊN HEO ĐÃ CÁC DỊCH BỆNH TRÊN HEO ĐÃ KIỂM SOÁT ĐƯỢCKIỂM SOÁT ĐƯỢC:: • Sốt heo Châu Phi (ASF) • Dịch tả heo (CSF) • Bệnh mụn nước ở heo (SVD) • Lở mồm long móng (FMD) ...

... sẽ ảnh hưởng đến sự phát triển của ngành chăn nuôi. • Người chăn nuôi nhỏ lẻ khó tiếp cận nguồn thức ăn và khó bảo quản thức ăn gia súc, đặc biệt ở nơi nguồn thức ăn ở xa cơ sở chăn nuôi. • ... triển Chăn nuôi – Thú y 40 • GHI CHÚ: Ưu tiên nghiên cứu và phát triển Chăn nuôi – Thú y 23 ARDO 3: LỢN 1. XÁC ĐỊNH ARDO3 1.1. Mục tiêu quốc gia Phát triển chăn nuôi lợn theo hướng ... triển Chăn nuôi – Thú y 2 CHƯƠNG TRÌNH HỘI THẢO MỤC TIÊU HỘI THẢO • Đánh giá những ưu tiên quốc gia về Nghiên cứu & Phát triển (viết tắt là R&D) Chăn nuôi- Thú y Việt Nam LÀM...

... còn ở các huyện miền núi vì dễ nuôi, thịt ngon nên dù năng suất thấp nhưng vẫn được nuôi. Chăn nuôi heo ở Quảng Ngãi hầu hết là chăn nuôi theo phương thức chăn nuôi nông hộ, nhỏ lẽ, manh mún ... hình trình diễn như nuôi heo ngoại sinh sản ở đồng bằng và chăn nuôi heo Móng cái ở Miền núi để làm cơ sở cho việc tuyên truyền và nhân ra diện rộng. Định hướng công tác giống heo của tỉnh Quảng ... Với thực trạng trên chăn nuôi heo ở Quảng Ngãi trong những năm qua đã gặp không ít khó khăn, nhất là khâu tiêu thụ sản phẩm heo thịt và hiệu quả kinh tế về chăn nuôi heo chưa đúng với tiềm...