TÌNH HÌNH DỊCH BỆNH và TÌNH HÌNH DỊCH BỆNH và CHĂN NUÔI HEO ở NHẬT bản

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ÌNH 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 & Consulting, Inc. JASV (Hiệp hội bệnh heo Nhật ... tấn/năm TÌNH HÌNH DỊCH BỆNH TRÊNTÌNH HÌNH DỊCH BỆNH TRÊN HEOHEO Ở NHẬT BẢNỞ NHẬT BẢN CÁC DỊCH BỆNH TRÊN HEO ĐÃ CÁC DỊCH BỆNH TRÊN HEO ĐÃ KIỂM SOÁT ĐƯỢCKIỂM SOÁT ĐƯỢC:: • Sốt heo Châu Phi ... • JASV (Hiệp hội bệnh heo Nhật Bản) NGÀNH CHĂN NUÔI HEONGÀNH CHĂN NUÔI HEO Ở NHẬT BẢN Ở NHẬT BẢN Quốc gia Diện tích (km²) Dân số (2012) Số lượng heo (2012) Nhật Bản 377,914 127,515,000...

... 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, ... hai huyện có tổng đàn heo khá lớn và mang tính đại diện. Vì vậy, nghiên cứu về tình hình sản xuất chăn nuôi heo ở tỉnh Sóc Trăng sẽ tập trung điều tra và đánh giá ở hai huyện này. 2 PHƯƠNG ... chăn nuôi heo bền vững sẽ phát triển theo hướng trang trại công nghiệp với qui mô lớn và mô hình này đang được Sở Nông nghiệp và Phát triển Nông thôn Sóc Trăng khuyến khích phát triển. Bảng...

... •N và PTrong nước thải chăn nuôi heo thường chứa hàm lượng N và P rất cao. Hàm lượng N tổng trong nước thải chăn nuôi 571 – 1026 mg/L, P từ 39 – 94 mg/L. •Vi sinh vật gây bệnh Nước thải chăn ... công nghệ và thiết bị tương đối hoàn chỉnh, đồng bộ nhằm áp dụng trong các xí nghiệp chăn nuôi mang tính chất công nghiệp. Ở VIỆT NAM CÁC PHƯƠNG ÁN XỬ LÝ NƯỚC THẢI CHĂN NUÔI HEO CÔNG SUẤT ... )350083,33 m / h6hQQt= = = Thành phần, tính chất của nước thải chăn nuôi heo •Các chất hữu cơ và vô cơTrong nước thải chăn nuôi, hợp chất hữu cơ chiếm 70–80%, hầu hết dễ phân hủy. Các chất...

... th ch nui heo 2 GVHD: Ths. L T Thanh Lm CHƯƠNG 2: TỔNG QUAN TÀI LIỆU VÀ ĐỐI TƯỢNG NGHIÊN CỨU 2.1. TỔNG QUAN NƯỚCTHẢI CHĂN NUÔI 2.1.1. Phát triển chăn nuôi ảnh hưởng đến môi trường ... ch nui heo 13 GVHD: Ths. L T Thanh Lm CHƯƠNG III: CÁC ỨNG DỤNG VÀ CÔNG TRÌNH XỬ LÝ NƯỚC THẢI CHĂN NUÔI 3.1. CÁC NGHIÊN CỨU  Nghiên cứu 1: Nghiên cứu xử lý nước thải chăn nuôi bằng ...  3.2. CÁC CÔNG TRÌNH ỨNG DUNG XỬ LÝ NƯỚC THẢI CHĂN NUÔI HEO  Ứng dụng 1: Trại chăn nuôi heo Xuân Thọ III. 3...

... thải .2.3.3. Trại chăn nuôi heo vừa và lớn ở Thái Lan Hình 2.3. Sơ đồ hệ thống xử lý nước thải ở các trại chăn nuôi heo vừa và lớn ở Thái Lan (do bà Pacharin Dumronggittigule và ông Weerapan Kiatpadee ... công ty. 2.3.2. Trại chăn nuôi heo vừa và lớn ở Philipin Hình 2.2. Sơ đồ hệ thống xử lý nước thải trại chăn nuôi heo vừa và lớn ở PhilippinNhận xét: Trong công nghệ này, tảo và vi khuẩn cộng sinh ... thải chăn nuôi heo CHƯƠNG 2 GIỚI THIỆU VỀ CÁC PHƯƠNG PHÁP XỬLÝ NƯỚC THẢI CHĂN NUÔI HEO 2.1. NHỮNG ĐẶT TRƯNG CƠ BẢN CỦA NƯỚC THẢI CHĂN NUÔICác chất hữu cơ và vô cơTrong nước thải chăn nuôi, ...

... thải .2.3.3. Trại chăn nuôi heo vừa và lớn ở Thái Lan Hình 2.3. Sơ đồ hệ thống xử lý nước thải ở các trại chăn nuôi heo vừa và lớn ở Thái Lan (do bà Pacharin Dumronggittigule và ông Weerapan Kiatpadee ... công ty. 2.3.2. Trại chăn nuôi heo vừa và lớn ở Philipin Hình 2.2. Sơ đồ hệ thống xử lý nước thải trại chăn nuôi heo vừa và lớn ở PhilippinNhận xét: Trong công nghệ này, tảo và vi khuẩn cộng sinh ... thải chăn nuôi heo CHƯƠNG 2 GIỚI THIỆU VỀ CÁC PHƯƠNG PHÁP XỬLÝ NƯỚC THẢI CHĂN NUÔI HEO 2.1. NHỮNG ĐẶT TRƯNG CƠ BẢN CỦA NƯỚC THẢI CHĂN NUÔICác chất hữu cơ và vô cơTrong nước thải chăn nuôi, ...

... ty bảo hiểm và hộ chăn nuôi nhằm giảm thiểu rủi ro trong sản xuất của hộ chăn nuôi heo, góp phần phát triển ngành chăn nuôi heo ở thành phố Cần Thơ. 1 ĐẶT VẤN ĐỀ Chăn nuôi heo là một trong ... xuất của nông hộ chăn nuôi heo ở thành phố Cần Thơ” được thực hiện nhằm đánh giá thực trạng rủi ro và phản ứng của hộ chăn nuôi heo đối với các loại rủi ro, từ đó xây dựng mô hình liên kết các ... cận với bảo hiểm giá và sản lượng heo, một công cụ hữu ích góp phần giảm bớt tác hại của rủi ro giá đầu ra và dịch bệnh; với các giống heo mới, các phương thức chăn nuôi heo mới giúp nông hộ...

... Vũ Hải Yến 1.5.2 Đối với cơ sở chăn nuôi thương phẩm quy mô nhỏ: 1.5.3Đối với cơ sở chăn nuôi thương phẩm quy mô vừa và lớn: Nước thải chăn nuôi Lắng UASB Bể sục khí Lắng ... cho đất cằn cỗi, ảnh hưởng đến sự sinh trưởng và phát triển của thực vật. 1.4 Các phương pháp xử lý nước thải chăn nuôi Việc xử lý nước thải chăn nuôi heo nhằm giảm nồng độ các chất ô nhiễm trong ... SO42-… N và P: Khả năng hấp thụ N và P của các lồi gia súc, gia cầm rất kém, nên khi ăn thức ăn có chứa N và P thì chúng sẽ bài tiết ra ngồi theo phân và nước tiểu. Trong nước thải chăn ni heo thường...

... thải chăn nuôi heo 2.3. Các phương pháp xử lý nước thải chăn nuôi heo Việc xử lý nước thải chăn nuôi heo nhằm giảm nồng độ các chất ô nhiễm trong nước thải đến một nồng độ cho phép có thể xả vào ... giới 32.2.2. Ở Việt Nam 5CÁC QUY TRÌNH XỬ LÝ CHẤT THẢI CHĂN NUÔI THAM KHẢO 6Đối với quy mô hộ gia đình 6Đối với cơ sở chăn nuôi quy mô nhỏ 7Đối với cơ sở chăn nuôi quy mô vừa và lớn 72.3. ... chất của nước thải chăn nuôi 32.1.1. Các chất hữu cơ và vô cơ 32.1.2. N và P 32.1.3. Vi sinh vật gây bệnh 32.2. Các nghiên cứu trong và ngoài nước về xử lý nước thải chăn nuôi heo 32.2.1. Các...

... thải .2.3.3. Trại chăn nuôi heo vừa và lớn ở Thái Lan Hình 2.3. Sơ đồ hệ thống xử lý nước thải ở các trại chăn nuôi heo vừa và lớn ở Thái Lan (do bà Pacharin Dumronggittigule và ông Weerapan Kiatpadee ... công ty. 2.3.2. Trại chăn nuôi heo vừa và lớn ở Philipin Hình 2.2. Sơ đồ hệ thống xử lý nước thải trại chăn nuôi heo vừa và lớn ở PhilippinNhận xét: Trong công nghệ này, tảo và vi khuẩn cộng sinh ... thải chăn nuôi heo CHƯƠNG 2 GIỚI THIỆU VỀ CÁC PHƯƠNG PHÁP XỬLÝ NƯỚC THẢI CHĂN NUÔI HEO 2.1. NHỮNG ĐẶT TRƯNG CƠ BẢN CỦA NƯỚC THẢI CHĂN NUÔICác chất hữu cơ và vô cơTrong nước thải chăn nuôi, ...