1
|
Li W, Li W, Song Z, Gao Z, Xie K, Wang Y, Wang B, Hu J, Zhang Q, Ning C, Wang D, Fan X. Marker Density and Models to Improve the Accuracy of Genomic Selection for Growth and Slaughter Traits in Meat Rabbits. Genes (Basel) 2024; 15:454. [PMID: 38674388 PMCID: PMC11050255 DOI: 10.3390/genes15040454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 03/25/2024] [Accepted: 03/27/2024] [Indexed: 04/28/2024] Open
Abstract
The selection and breeding of good meat rabbit breeds are fundamental to their industrial development, and genomic selection (GS) can employ genomic information to make up for the shortcomings of traditional phenotype-based breeding methods. For the practical implementation of GS in meat rabbit breeding, it is necessary to assess different marker densities and GS models. Here, we obtained low-coverage whole-genome sequencing (lcWGS) data from 1515 meat rabbits (including parent herd and half-sibling offspring). The specific objectives were (1) to derive a baseline for heritability estimates and genomic predictions based on randomly selected marker densities and (2) to assess the accuracy of genomic predictions for single- and multiple-trait linear mixed models. We found that a marker density of 50 K can be used as a baseline for heritability estimation and genomic prediction. For GS, the multi-trait genomic best linear unbiased prediction (GBLUP) model results in more accurate predictions for virtually all traits compared to the single-trait model, with improvements greater than 15% for all of them, which may be attributed to the use of information on genetically related traits. In addition, we discovered a positive correlation between the performance of the multi-trait GBLUP and the genetic correlation between the traits. We anticipate that this approach will provide solutions for GS, as well as optimize breeding programs, in meat rabbits.
Collapse
Affiliation(s)
- Wenjie Li
- Department of Animal Genetics and Breeding, Shandong Agricultural University, Taian 271000, China; (W.L.); (W.L.); (Z.S.); (K.X.); (B.W.); (J.H.); (Q.Z.); (C.N.)
- Department of Animal Genetics and Breeding, University of Anhui Agricultural, Hefei 230031, China
| | - Wenqiang Li
- Department of Animal Genetics and Breeding, Shandong Agricultural University, Taian 271000, China; (W.L.); (W.L.); (Z.S.); (K.X.); (B.W.); (J.H.); (Q.Z.); (C.N.)
| | - Zichen Song
- Department of Animal Genetics and Breeding, Shandong Agricultural University, Taian 271000, China; (W.L.); (W.L.); (Z.S.); (K.X.); (B.W.); (J.H.); (Q.Z.); (C.N.)
| | - Zihao Gao
- Department of Animal Genetics and Breeding, Shandong Agricultural University, Taian 271000, China; (W.L.); (W.L.); (Z.S.); (K.X.); (B.W.); (J.H.); (Q.Z.); (C.N.)
| | - Kerui Xie
- Department of Animal Genetics and Breeding, Shandong Agricultural University, Taian 271000, China; (W.L.); (W.L.); (Z.S.); (K.X.); (B.W.); (J.H.); (Q.Z.); (C.N.)
| | - Yubing Wang
- Department of Animal Genetics and Breeding, Shandong Agricultural University, Taian 271000, China; (W.L.); (W.L.); (Z.S.); (K.X.); (B.W.); (J.H.); (Q.Z.); (C.N.)
| | - Bo Wang
- Department of Animal Genetics and Breeding, Shandong Agricultural University, Taian 271000, China; (W.L.); (W.L.); (Z.S.); (K.X.); (B.W.); (J.H.); (Q.Z.); (C.N.)
| | - Jiaqing Hu
- Department of Animal Genetics and Breeding, Shandong Agricultural University, Taian 271000, China; (W.L.); (W.L.); (Z.S.); (K.X.); (B.W.); (J.H.); (Q.Z.); (C.N.)
| | - Qin Zhang
- Department of Animal Genetics and Breeding, Shandong Agricultural University, Taian 271000, China; (W.L.); (W.L.); (Z.S.); (K.X.); (B.W.); (J.H.); (Q.Z.); (C.N.)
| | - Chao Ning
- Department of Animal Genetics and Breeding, Shandong Agricultural University, Taian 271000, China; (W.L.); (W.L.); (Z.S.); (K.X.); (B.W.); (J.H.); (Q.Z.); (C.N.)
| | - Dan Wang
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Ministry of Agriculture and Rural Affairs, Taian 271000, China
| | - Xinzhong Fan
- Department of Animal Genetics and Breeding, Shandong Agricultural University, Taian 271000, China; (W.L.); (W.L.); (Z.S.); (K.X.); (B.W.); (J.H.); (Q.Z.); (C.N.)
| |
Collapse
|
2
|
Kang M, Wang Y, Zhu Y, He F, Jiang S, Yang M. Optimizing the structure of food production in China to improve the sustainability of water resources. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 900:165750. [PMID: 37506911 DOI: 10.1016/j.scitotenv.2023.165750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 07/20/2023] [Accepted: 07/21/2023] [Indexed: 07/30/2023]
Abstract
The conflict between the growing demand for food and limited water resources is intensifying. To further elucidate the relationship between food and water, we construct a water footprint life cycle assessment framework for food products and propose a modified algorithm for measuring a food's water footprint to assess the virtual water transfer between grain crops and animal products. To address the mismatch between regional water resources and food production, we propose a novel optimization model for food production structure, with both reducing water use and maintaining food security as its objectives. Using 2020 as an example, the analysis proposes an adjusted food production structure for China at national, regional, and provincial scales. The results show that 24.9 % of water consumed by grain crops is transferred to animal products through feed grain. The total water footprint of food production in China is 820.8 billion m3, with the blue water footprint accounting for 32.9 % of that total. The blue water footprint for food production in northern China is 161.8 billion m3, which is much larger than 108.2 billion m3 in southern China. Water scarcity is also greater in northern regions, which produce the majority of grain and animal products. Our optimization shows that a reasonable food production structure can balance water resources and food security by remarkably reducing China's total blue water footprint and increasing food production in the south while reducing production in certain northern provinces to ensure sustainable regional development.
Collapse
Affiliation(s)
- Miaoye Kang
- State Key Laboratory of Simulation and Regulation of Water Cycles in River Basins, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
| | - Yicheng Wang
- State Key Laboratory of Simulation and Regulation of Water Cycles in River Basins, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
| | - Yongnan Zhu
- State Key Laboratory of Simulation and Regulation of Water Cycles in River Basins, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.
| | - Fan He
- State Key Laboratory of Simulation and Regulation of Water Cycles in River Basins, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
| | - Shan Jiang
- State Key Laboratory of Simulation and Regulation of Water Cycles in River Basins, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
| | - Mingming Yang
- State Key Laboratory of Simulation and Regulation of Water Cycles in River Basins, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
| |
Collapse
|
3
|
Cosentino C, Paolino R, Adduci F, Tarricone S, Pacelli C, Sabia E, Freschi P. Case Study on the Impact of Water Resources in Beef Production: Corn vs. Triticale Silage in the Diet of Limousine × Podolian Young Bulls. Animals (Basel) 2023; 13:3355. [PMID: 37958110 PMCID: PMC10650317 DOI: 10.3390/ani13213355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 10/24/2023] [Accepted: 10/27/2023] [Indexed: 11/15/2023] Open
Abstract
In this study, we have included the water footprint (WF) in the process of optimizing animal feed rations. The global footprint of cattle production accounts for the largest share (33%) of the global water footprint of livestock production. Using two homogeneous groups of Limousine × Podolian young bulls, two different diets were compared: corn silage feeding (CSF), with a corn silage-based diet; and triticale silage feeding (TSF), with a triticale silage-based diet. Silage constituted about 41% and 46% of the feed composition (for CSF and TSF, respectively). Diets were characterised by the same energy and protein content. Despite the lower WF in the TSF group than in the CSF group (7726 vs. 8571 L/day/calf respectively), no significant differences were found in animal performances (i.e., daily weight gain and final weight), feed conversion or income over feed costs. These results show that simple production decisions can have a significant impact on water resource. Therefore, the use of triticale silage should be further promoted, especially in world regions with limited water resources where low WF feed formulation is more strategic than elsewhere.
Collapse
Affiliation(s)
- Carlo Cosentino
- School of Agricultural, Forestry, Food and Environmental Sciences (SAFE), University of Basilicata, 85100 Potenza, Italy; (C.C.); (F.A.); (C.P.); (E.S.); (P.F.)
| | - Rosanna Paolino
- School of Agricultural, Forestry, Food and Environmental Sciences (SAFE), University of Basilicata, 85100 Potenza, Italy; (C.C.); (F.A.); (C.P.); (E.S.); (P.F.)
| | - Francesco Adduci
- School of Agricultural, Forestry, Food and Environmental Sciences (SAFE), University of Basilicata, 85100 Potenza, Italy; (C.C.); (F.A.); (C.P.); (E.S.); (P.F.)
| | - Simona Tarricone
- Department of Soil, Plant and Food Science, University of Bari Aldo Moro, 70125 Bari, Italy
| | - Corrado Pacelli
- School of Agricultural, Forestry, Food and Environmental Sciences (SAFE), University of Basilicata, 85100 Potenza, Italy; (C.C.); (F.A.); (C.P.); (E.S.); (P.F.)
| | - Emilio Sabia
- School of Agricultural, Forestry, Food and Environmental Sciences (SAFE), University of Basilicata, 85100 Potenza, Italy; (C.C.); (F.A.); (C.P.); (E.S.); (P.F.)
| | - Pierangelo Freschi
- School of Agricultural, Forestry, Food and Environmental Sciences (SAFE), University of Basilicata, 85100 Potenza, Italy; (C.C.); (F.A.); (C.P.); (E.S.); (P.F.)
| |
Collapse
|
4
|
Ostroski A, Lagos T, Prokopyev OA, Khanna V. Consumption-Based Accounting for Tracing Virtual Water Flows Associated with Beef Supply Chains in the United States. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:16347-16356. [PMID: 36283089 DOI: 10.1021/acs.est.2c03986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Enhancing the environmental sustainability of food systems requires an understanding of both production- and consumption-based impacts. As food supply chains become increasingly complex and connected, they also present a unique context in which to understand the environmental impacts of consumption. This is critical for understanding the disconnect between production- and consumption-based impacts of food systems and ultimately designing, evaluating, and implementing interventions for improving security, resilience, and sustainability of food systems. Using publicly available datasets and an optimization-based framework, we present a county-to-county level network model of beef supply chains in the United States. The model is used to connect and attribute the consumption-based impacts of beef consumption to production in distant locations, specifically focusing on water-based impacts. We specifically focus on the beef system because of its importance in the diet of U.S. consumers and in environmental sustainability discourse. The findings from this work show the spatial disconnect between the consumption and production counties with approximately 22 billion m3 of blue virtual water being transferred for the year 2017, mainly from the northern and southern plains toward the coasts. These results highlight the importance of understanding environmental impacts from both production and consumption perspectives.
Collapse
Affiliation(s)
- Anaís Ostroski
- Department of Civil and Environmental Engineering, University of Pittsburgh, 742 Benedum Hall, 3700 O'Hara Street, Pittsburgh, Pennsylvania15261, United States
| | - Tomas Lagos
- Department of Industrial Engineering, University of Pittsburgh, 1025 Benedum Hall, 3700 O'Hara Street, Pittsburgh, Pennsylvania15261, United States
| | - Oleg A Prokopyev
- Department of Industrial Engineering, University of Pittsburgh, 1025 Benedum Hall, 3700 O'Hara Street, Pittsburgh, Pennsylvania15261, United States
| | - Vikas Khanna
- Department of Civil and Environmental Engineering, University of Pittsburgh, 742 Benedum Hall, 3700 O'Hara Street, Pittsburgh, Pennsylvania15261, United States
- Department of Chemical and Petroleum Engineering, University of Pittsburgh, 3700 O'Hara Street, Pittsburgh, Pennsylvania15261, United States
| |
Collapse
|
5
|
Carra SHZ, Palhares JCP, Drastig K, Schneider VE, Ebert L, Giacomello CP. Water productivity of milk produced in three different dairy production systems in Southern Brazil. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 844:157117. [PMID: 35787899 DOI: 10.1016/j.scitotenv.2022.157117] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 06/27/2022] [Accepted: 06/28/2022] [Indexed: 06/15/2023]
Abstract
Water is a crucial resource to produce dairy milk and studies are required to identify opportunities for improvements in water management. This study evaluates the water productivity of milk (WPMilk) produced on 67 farms located in southern Brazil and the influence of dairy cattle production systems (pasture-based, 57 farms; semi-confined, 7 farms; confinement, 3 farms) on water productivity. Indirect and direct water flows were taken into account and the dairy milk was the output. Pasture yield was estimated based on a weighted average. Indirect water represented >98 % of water consumption for milk production on farms assessed. In the pasture-based system, the WPMilk ranged from 0.27 to 1.46 kg FPCM (Fat Protein Corrected Milk) m-3 of water; in the semi-confined system it ranged from 0.59 to 1.1 kg FPCM m-3; in the confined system, it ranged from 0.89 to 1.09 kg FPCM m-3. Results show that 20 farms in the pasture-based system presented higher WPMilk than the maximum WPMilk of farms in the semi-confined system. Comparing outcomes of farms in the confined system with pasture-based system, similar results were observed with higher WPMilk on 22 farms in the pasture-based system. Results indicate that, regardless of the type of production system, water productivity is influenced by the dairy productivity indicators of the farm, such as milk yield and feed components. The large variability in the WPMilk was expected and reflects the inherent attributes and conditions affecting this indicator, which underlines the importance of assessing it on a farm scale. Consequently, achieving high dairy productivity indicators should be encouraged in the pasture-based system due to the environmental, economic and social advantages for the farmer. Results advance the knowledge about water flows and WPMilk in different dairy cattle production systems besides defining the first benchmarks for WPMilk produced on farms in Brazil.
Collapse
Affiliation(s)
- Sofia Helena Zanella Carra
- Leibniz Institute for Agricultural Engineering and Bioeconomy, Max-Eyth-Allee 100, 14469 Potsdam, Germany.
| | | | - Katrin Drastig
- Leibniz Institute for Agricultural Engineering and Bioeconomy, Max-Eyth-Allee 100, 14469 Potsdam, Germany.
| | - Vania Elisabete Schneider
- Institute of Environmental Sanitation, University of Caxias do Sul, Francisco Getúlio Vargas 1130, 95070-560 Caxias do Sul, Brazil.
| | - Leandro Ebert
- Emater-Ascar/RS - Rural Extension Service, R. Ipiranga, 2124, Serafina Corrêa, RS 99250-000, Brazil
| | - Cintia Paese Giacomello
- University of Caxias do Sul, Francisco Getúlio Vargas 1130, 95070-560 Caxias do Sul, Brazil.
| |
Collapse
|
6
|
da Rosa GA, Broetto LF, Demczuk T, Viancelli A, Michelon W. Water footprint and productivity in broilers and swine production in Brazil from 2008 to 2018. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:73020-73028. [PMID: 35616839 DOI: 10.1007/s11356-022-21009-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 05/18/2022] [Indexed: 06/15/2023]
Abstract
In many countries, the adverse impact of agriculture on water sources has been discussed with more attention recently by the water footprint estimation. Brazil is the second largest animal protein' exporter, and this demand has a tendency to increase significantly until 2050, and in this context the water management will be crucial. Thus, the present study aimed to evaluate the water footprint and productivity in the broiler and swine slaughtered in Brazil from 2008 to 2018. The results showed that the herds of broiler and swine were concentrated in three main regions: Midwest, Southeast and South, representing 97.1% of the broilers and 99.7% of the swine slaughtered in Brazil. During the studied decade, the slaughter of broiler and swine increased 9.1 and 25.8%, respectively. The broiler and swine water footprint decreased by 15.4 and 3.5%, respectively. The average volume of water needed for the production of broiler and swine meat was 2533 L kg-1 and 3754 L kg-1, respectively. The average water productivity per kg of broiler meat was 0.397 kg m-3, while for swine it was 0.269 kg m-3. The average water productivity for soybean was 0.497 kg m-3, and for corn it was 1.18 kg m-3. The decrease in the water footprint is a result of the improvement of management practices, highlighting that it is necessary to improve the knowledge about the use of the water footprint methodology as a tool for water management to help public policies.
Collapse
Affiliation(s)
| | - Luiz F Broetto
- Universidade Do Contestado, Victor Sopelsa, 3000, Concórdia, SC, 89711-330, Brazil
| | - Thiago Demczuk
- Universidade Do Contestado, Victor Sopelsa, 3000, Concórdia, SC, 89711-330, Brazil
| | - Aline Viancelli
- Universidade Do Contestado, Victor Sopelsa, 3000, Concórdia, SC, 89711-330, Brazil.
| | - William Michelon
- Universidade Do Contestado, Victor Sopelsa, 3000, Concórdia, SC, 89711-330, Brazil
| |
Collapse
|
7
|
Hassoun A, Bekhit AED, Jambrak AR, Regenstein JM, Chemat F, Morton JD, Gudjónsdóttir M, Carpena M, Prieto MA, Varela P, Arshad RN, Aadil RM, Bhat Z, Ueland Ø. The fourth industrial revolution in the food industry-part II: Emerging food trends. Crit Rev Food Sci Nutr 2022; 64:407-437. [PMID: 35930319 DOI: 10.1080/10408398.2022.2106472] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The food industry has recently been under unprecedented pressure due to major global challenges, such as climate change, exponential increase in world population and urbanization, and the worldwide spread of new diseases and pandemics, such as the COVID-19. The fourth industrial revolution (Industry 4.0) has been gaining momentum since 2015 and has revolutionized the way in which food is produced, transported, stored, perceived, and consumed worldwide, leading to the emergence of new food trends. After reviewing Industry 4.0 technologies (e.g. artificial intelligence, smart sensors, robotics, blockchain, and the Internet of Things) in Part I of this work (Hassoun, Aït-Kaddour, et al. 2022. The fourth industrial revolution in the food industry-Part I: Industry 4.0 technologies. Critical Reviews in Food Science and Nutrition, 1-17.), this complimentary review will focus on emerging food trends (such as fortified and functional foods, additive manufacturing technologies, cultured meat, precision fermentation, and personalized food) and their connection with Industry 4.0 innovations. Implementation of new food trends has been associated with recent advances in Industry 4.0 technologies, enabling a range of new possibilities. The results show several positive food trends that reflect increased awareness of food chain actors of the food-related health and environmental impacts of food systems. Emergence of other food trends and higher consumer interest and engagement in the transition toward sustainable food development and innovative green strategies are expected in the future.
Collapse
Affiliation(s)
- Abdo Hassoun
- Sustainable AgriFoodtech Innovation & Research (SAFIR), Arras, France
- Syrian AcademicExpertise (SAE), Gaziantep, Turkey
| | | | - Anet Režek Jambrak
- Faculty of Food Technology and Biotechnology, University of Zagreb, Zagreb, Croatia
| | - Joe M Regenstein
- Department of Food Science, Cornell University, Ithaca, New York, USA
| | - Farid Chemat
- Green Extraction Team, INRAE, Avignon University, Avignon, France
| | - James D Morton
- Department of Wine Food and Molecular Biosciences, Lincoln University, Lincoln, New Zealand
| | - María Gudjónsdóttir
- Faculty of Food Science and Nutrition, School of Health Sciences, University of Iceland, Reykjavík, Iceland
| | - María Carpena
- Department of Analytical Chemistry and Food Science, Faculty of Science, Universidade de Vigo, Nutrition and Bromatology Group, Ourense, Spain
| | - Miguel A Prieto
- Department of Analytical Chemistry and Food Science, Faculty of Science, Universidade de Vigo, Nutrition and Bromatology Group, Ourense, Spain
| | - Paula Varela
- Fisheries and Aquaculture Research, Nofima - Norwegian Institute of Food, Ås, Norway
| | - Rai Naveed Arshad
- Institute of High Voltage & High Current, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia
| | - Rana Muhammad Aadil
- National Institute of Food Science and Technology, University of Agriculture, Faisalabad, Pakistan
| | - Zuhaib Bhat
- Division of Livestock Products Technology, SKUAST-J, Jammu, India
| | - Øydis Ueland
- Fisheries and Aquaculture Research, Nofima - Norwegian Institute of Food, Ås, Norway
| |
Collapse
|
8
|
Ayalew H, Zhang H, Wang J, Wu S, Qiu K, Qi G, Tekeste A, Wassie T, Chanie D. Potential Feed Additives as Antibiotic Alternatives in Broiler Production. Front Vet Sci 2022; 9:916473. [PMID: 35782570 PMCID: PMC9247512 DOI: 10.3389/fvets.2022.916473] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Accepted: 05/09/2022] [Indexed: 02/03/2023] Open
Abstract
This article aimed to describe the current use scenario, alternative feed additives, modes of action and ameliorative effects in broiler production. Alternative feed additives have promising importance in broiler production due to the ban on the use of certain antibiotics. The most used antibiotic alternatives in broiler production are phytogenics, organic acids, prebiotics, probiotics, enzymes, and their derivatives. Antibiotic alternatives have been reported to increase feed intake, stimulate digestion, improve feed efficiency, increase growth performance, and reduce the incidence of diseases by modulating the intestinal microbiota and immune system, inhibiting pathogens, and improving intestinal integrity. Simply, the gut microbiota is the target to raise the health benefits and growth-promoting effects of feed additives on broilers. Therefore, naturally available feed additives are promising antibiotic alternatives for broilers. Then, summarizing the category, mode of action, and ameliorative effects of potential antibiotic alternatives on broiler production may provide more informed decisions for broiler nutritionists, researchers, feed manufacturers, and producers.
Collapse
Affiliation(s)
- Habtamu Ayalew
- Laboratory of Quality and Safety Risk Assessment for Animal Products on Feed Hazards (Beijing) of the Ministry of Agriculture and Rural Affairs Feed Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China
- College of Veterinary Medicine and Animal Sciences, University of Gondar, Gondar, Ethiopia
| | - Haijun Zhang
- Laboratory of Quality and Safety Risk Assessment for Animal Products on Feed Hazards (Beijing) of the Ministry of Agriculture and Rural Affairs Feed Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China
- *Correspondence: Haijun Zhang
| | - Jing Wang
- Laboratory of Quality and Safety Risk Assessment for Animal Products on Feed Hazards (Beijing) of the Ministry of Agriculture and Rural Affairs Feed Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Shugeng Wu
- Laboratory of Quality and Safety Risk Assessment for Animal Products on Feed Hazards (Beijing) of the Ministry of Agriculture and Rural Affairs Feed Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Kai Qiu
- Laboratory of Quality and Safety Risk Assessment for Animal Products on Feed Hazards (Beijing) of the Ministry of Agriculture and Rural Affairs Feed Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Guanghai Qi
- Laboratory of Quality and Safety Risk Assessment for Animal Products on Feed Hazards (Beijing) of the Ministry of Agriculture and Rural Affairs Feed Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ayalsew Tekeste
- College of Veterinary Medicine and Animal Sciences, University of Gondar, Gondar, Ethiopia
| | - Teketay Wassie
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Hunan Provincial Engineering Research Center for Healthy Livestock and Poultry Production, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China
| | - Demissie Chanie
- College of Veterinary Medicine and Animal Sciences, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
9
|
Abdelrahman M, Wang W, Shaukat A, Kulyar MFEA, Lv H, Abulaiti A, Yao Z, Ahmad MJ, Liang A, Yang L. Nutritional Modulation, Gut, and Omics Crosstalk in Ruminants. Animals (Basel) 2022; 12:ani12080997. [PMID: 35454245 PMCID: PMC9029867 DOI: 10.3390/ani12080997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 03/31/2022] [Accepted: 04/05/2022] [Indexed: 11/30/2022] Open
Abstract
Simple Summary Over the last decade, animal nutrition science has been significantly developed, supported by the great advancements in molecular technologies. For scientists, the present "feedomics and nutrigenomics" era continues to evolve and shape how research is designed, performed, and understood. The new omics interpretations have established a new point of view for the nutrition–gene interaction, integrating more comprehensive findings from animal physiology, molecular genetics, and biochemistry. In the ruminant model, this modern approach addresses rumen microbes as a critical intermediate that can deepen the studies of diet–gut interaction with host genomics. The present review discusses nutrigenomics’ and feedomics’ potential contribution to diminishing the knowledge gap about the DNA cellular activities of different nutrients. It also presents how nutritional management can influence the epigenetic pathway, considering the production type, life stage, and species for more sustainable ruminant nutrition strategies. Abstract Ruminant nutrition has significantly revolutionized a new and prodigious molecular approach in livestock sciences over the last decade. Wide-spectrum advances in DNA and RNA technologies and analysis have produced a wealth of data that have shifted the research threshold scheme to a more affluent level. Recently, the published literature has pointed out the nutrient roles in different cellular genomic alterations among different ruminant species, besides the interactions with other factors, such as age, type, and breed. Additionally, it has addressed rumen microbes within the gut health and productivity context, which has made interpreting homogenous evidence more complicated. As a more systematic approach, nutrigenomics can identify how genomics interacts with nutrition and other variables linked to animal performance. Such findings should contribute to crystallizing powerful interpretations correlating feeding management with ruminant production and health through genomics. This review will present a road-mapping discussion of promising trends in ruminant nutrigenomics as a reference for phenotype expression through multi-level omics changes.
Collapse
Affiliation(s)
- Mohamed Abdelrahman
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
- Animal Production Department, Faculty of Agriculture, Assuit University, Asyut 71515, Egypt
| | - Wei Wang
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
| | - Aftab Shaukat
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
| | | | - Haimiao Lv
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
| | - Adili Abulaiti
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
| | - Zhiqiu Yao
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
| | - Muhammad Jamil Ahmad
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
| | - Aixin Liang
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
- National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Huazhong Agricultural University, Wuhan 430070, China
| | - Liguo Yang
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
- National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Huazhong Agricultural University, Wuhan 430070, China
- Correspondence: ; Tel.: +86-138-7105-6592
| |
Collapse
|
10
|
Livestock water and land productivity in Kenya and their implications for future resource use. Heliyon 2022; 8:e09006. [PMID: 35284679 PMCID: PMC8904406 DOI: 10.1016/j.heliyon.2022.e09006] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 08/30/2021] [Accepted: 02/21/2022] [Indexed: 11/23/2022] Open
Abstract
Population growth and rising affluence increase the demand for agricultural commodities. Associated growth in production increases dependency on natural resources in countries that attempt to meet part or all of the new demand locally. This study assesses the impact of changing meat and milk production on natural resource use in Kenya under three plausible scenarios of socio-economic development, namely Business-As-Usual (BAU), Sustainable Development (SDP) and Kenya Vision 2030 (V2030) scenarios. The IMPACT model is used to estimate projected cattle, sheep, goats and camel production parameters for meat and milk. The BAU and SDP represent standard scenarios for Kenya of a global economic model, IMPACT, while V2030 incorporates in the model features specific to Kenya's medium-term national development plan. We use calculations of water footprint and land footprint as resource use indicators to quantify the anticipated appropriation of water and land resources for meat and milk production and trade by 2040. Though camel dairy production numbers increase the most by quadrupling between 2005 and 2040, it is cattle dairy production that significantly determined gains in production between the scenarios. Productivity gains under the SDP scenario does not match the investments made thereby leading to only slightly better values for water and land productivity than those achieved under the BAU scenario. Relative to the BAU scenario, improvement in land productivity under the V2030 scenario is the most dramatic for shoat milk production in the arid and semi-arid systems but the least marked for cattle milk production in the humid system. By quantifying water and land productivity across heterogenous production systems, our findings can aid decision-makers in Kenya and other developing countries to understand the implications of strategies aimed at increasing domestic agricultural and livestock production on water and land resources both locally and through trade with other countries.
Collapse
|
11
|
Scheitrum DP, Schaefer KA. Farm Animal Enclosure Requirements, Industry Concentration, and Supply Chain Dynamics. FRONTIERS IN ANIMAL SCIENCE 2021. [DOI: 10.3389/fanim.2021.709359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
In this paper, we draw on microeconomic theory to show that farm animal enclosure regulations can and have lead to increased farm-level concentration in affected industries in the U.S. The desirability of this increased concentration is a function of modern industry structures. Farm animal enclosure requirements can push traditional “short” supply chains like eggs toward vertical integration. However, vertically integrated systems (e.g., broiler chickens and hogs) may benefit from the induced farm-level concentration by increasing bargaining power among contract farmers. In all systems, the increased farm-level concentration induced by enclosure requirements may lead to greater ability to solve future collective action problems like wastewater pollution and antimicrobial resistance.
Collapse
|
12
|
Yellow Mealworm and Black Soldier Fly Larvae for Feed and Food Production in Europe, with Emphasis on Iceland. Foods 2021; 10:foods10112744. [PMID: 34829029 PMCID: PMC8625742 DOI: 10.3390/foods10112744] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Revised: 10/27/2021] [Accepted: 11/03/2021] [Indexed: 01/02/2023] Open
Abstract
Insects are part of the diet of over 2 billion people worldwide; however, insects have not been popular in Europe, neither as food nor as a feed ingredient. This has been changing in recent years, due to increased knowledge regarding the nutritional benefits, the need for novel protein production and the low environmental impact of insects compared to conventional protein production. The purpose of this study is to give an overview of the most popular insects farmed in Europe, yellow mealworm, Tenebrio molitor, and black soldier fly (BSF), Hermetia illucens, together with the main obstacles and risks. A comprehensive literature study was carried out and 27 insect farming companies found listed in Europe were contacted directly. The results show that the insect farming industry is increasing in Europe, and the success of the frontrunners is based on large investments in technology, automation and economy of scale. The interest of venture capital firms is noticeable, covering 90% of the investment costs in some cases. It is concluded that insect farming in Europe is likely to expand rapidly in the coming years, offering new proteins and other valuable products, not only as a feed ingredient, but also for human consumption. European regulations have additionally been rapidly changing, with more freedom towards insects as food and feed. There is an increased knowledge regarding safety concerns of edible insects, and the results indicate that edible insects pose a smaller risk for zoonotic diseases than livestock. However, knowledge regarding risk posed by edible insects is still lacking, but food and feed safety is essential to put products on the European market.
Collapse
|
13
|
Pulina G, Acciaro M, Atzori AS, Battacone G, Crovetto GM, Mele M, Pirlo G, Rassu SPG. Animal board invited review - Beef for future: technologies for a sustainable and profitable beef industry. Animal 2021; 15:100358. [PMID: 34634751 DOI: 10.1016/j.animal.2021.100358] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 08/18/2021] [Accepted: 08/18/2021] [Indexed: 01/07/2023] Open
Abstract
The global consumption, notably in developing countries, and production of beef are increasing continuously, and this requires the industry to improve performance and to reduce the environmental impact of the production chain. Since the improvement in efficiency and the highest impacts occur at farm level, it is appropriate to focus on the profitability and environmental sustainability of these enterprises. In many areas of the world, beef production is economically and socially relevant because it accounts for a significant portion of the agricultural production and represents a vital economic activity in mountain and hill districts of many regions, where few alternatives for other agricultural production exist. Due to the important role in the agricultural and food economy worldwide, the future of the beef industry is linked to the reduction of ecological impacts, mainly adopting the agroecological mitigation practices, and the simultaneous improvement of production performances and of product quality. This review analyses the technical and managerial solutions currently available to increase the efficiency of the beef industry and, at the same time, to reduce its environmental impacts in response to the growing concerns and awareness of citizens and consumers.
Collapse
Affiliation(s)
- G Pulina
- Dipartimento di Agraria, University of Sassari, Sassari, Italy
| | | | - A S Atzori
- Dipartimento di Agraria, University of Sassari, Sassari, Italy
| | - G Battacone
- Dipartimento di Agraria, University of Sassari, Sassari, Italy.
| | - G M Crovetto
- Dipartimento di Scienze Agrarie e Ambientali, University of Milan, Milano, Italy
| | - M Mele
- Dipartimento di Scienze Agrarie, Alimentari e Agroambientali, University of Pisa, Pisa, Italy
| | - G Pirlo
- Research Centre for Animal Production and Aquaculture, Council for Agriculture Research and Economics, Lodi, Italy
| | - S P G Rassu
- Dipartimento di Agraria, University of Sassari, Sassari, Italy
| |
Collapse
|
14
|
Erasmus LM, van Marle-Köster E. Moving towards sustainable breeding objectives and cow welfare in dairy production: a South African perspective. Trop Anim Health Prod 2021; 53:470. [PMID: 34549341 DOI: 10.1007/s11250-021-02914-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 09/10/2021] [Indexed: 01/11/2023]
Abstract
Genetic advancements have resulted in improved dairy production over many decades, due to the focus of breeding objectives on production as the driving force for genetic progress and overall farm profitability. Major advancements were made in the easy-to-measure traits with moderate to high heritability, which resulted in unintended consequences on herd fertility, health, and welfare of cows. In addition, climate change and animal welfare concerns demanded balanced breeding objectives and selection approaches for sustainable production-including health and longevity. The inclusion of genomic information into genetic evaluations has been proved to benefit traits associated with welfare and sustainable production. Cow welfare traits remain complex and suitable phenotypes are not always easy to measure or readily available for genetic evaluations. The challenge for improvement of cow welfare often lies within implementation of sensitive and measurable parameters. The aim of this review was to explore the reconsideration of breeding objectives in the dairy industry towards sustainable dairy production and cow welfare with reference to selection of dairy animals in South Africa.
Collapse
Affiliation(s)
- Lize-Mari Erasmus
- Department of Animal Science, University of Pretoria, Pretoria, South Africa.
| | - E van Marle-Köster
- Department of Animal Science, University of Pretoria, Pretoria, South Africa.
| |
Collapse
|
15
|
Flees JJ, Ganguly B, Dridi S. Phytogenic feed additives improve broiler feed efficiency via modulation of intermediary lipid and protein metabolism-related signaling pathways. Poult Sci 2020; 100:100963. [PMID: 33652544 PMCID: PMC7936186 DOI: 10.1016/j.psj.2020.12.060] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 11/11/2020] [Accepted: 12/20/2020] [Indexed: 11/30/2022] Open
Abstract
Diets enriched with phytogenic feed additives (PFA) such as AV/HGP/16 premix (AVHGP), Superliv concentrate premix (SCP), and bacteriostatic herbal growth promotor (BHGP) with essential oils have been shown to improve feed efficiency (FE) in broilers. This FE improvement was achieved via modulation of hypothalamic neuropeptides, which results despite feed intake reduction, in increased breast yield without changes in body weight compared to the control group. To gain further insights into the mode of action of these PFA, the present study aimed to determine the potential involvement of signaling pathways associated with lipid and protein metabolism. One day-old male Cobb 500 chicks were randomly assigned into 1 of 4 treatments, comprising 8 replicates per treatment in a completely randomized design. The dietary treatments included a basal diet (control) or 0.55 g/kg diet of AVHGP, SCP, or BHGP. The birds had ad libitum access to water and feed. On day 35, after blood sampling, the liver, abdominal adipose tissue (AT), and breast muscle samples were collected. The levels of phosphorylated mechanistic target of rapamycin (mTOR)Ser2481 as well as its levels of mRNA and those of its downstream mediator RPS6B1 were significantly upregulated in the muscle of the PFA-fed groups compared with the control group. In the liver, the phosphorylated levels of acetyl-CoA carboxylase alpha at Ser79, the rate-limiting enzyme in fat synthesis, was significantly induced in the PFA-fed groups compared with the control group, indicating a lower hepatic lipogenesis. The hepatic expression of hepatic triglyceride lipase (LIPC) and adipose triglyceride lipase (ATGL) was significantly upregulated in the AVHGP-fed group compared with the control group. These hepatic changes were accompanied by a significant downregulation of hepatic sterol regulatory element-binding protein cleavage-activating protein in all the PFA groups and an upregulation of peroxisome proliferator–activated receptor alpha and gamma in the SCP-fed compared with the control group. In the AT, the mRNA abundances of ATGL and LIPC were significantly increased in both SCP- and BHGP-fed birds compared with the control group. Together these data indicate that PFA improve FE via modulation of muscle mTOR pathway and hepatic lipolytic/lipogenic programs, thus, favoring muscle protein synthesis and lowering hepatic lipogenesis.
Collapse
Affiliation(s)
- Joshua J Flees
- Center of Excellence For Poultry Science, University of Arkansas, Fayetteville 72701, USA
| | - Bhaskar Ganguly
- Clinical Research, Ayurvet Limited, Baddi, Himachal Pradesh 173205, India
| | - Sami Dridi
- Center of Excellence For Poultry Science, University of Arkansas, Fayetteville 72701, USA.
| |
Collapse
|
16
|
Abstract
This paper commemorates the influence of Arjen Y. Hoekstra on water footprint research of the United States. It is part of the Special Issue “In Memory of Prof. Arjen Y. Hoekstra”. Arjen Y. Hoekstra both inspired and enabled a community of scholars to work on understanding the water footprint of the United States. He did this by comprehensively establishing the terminology and methodology that serves as the foundation for water footprint research. His work on the water footprint of humanity at the global scale highlighted the key role of a few nations in the global water footprint of production, consumption, and virtual water trade. This research inspired water scholars to focus on the United States by highlighting its key role amongst world nations. Importantly, he enabled the research of many others by making water footprint estimates freely available. We review the state of the literature on water footprints of the United States, including its water footprint of production, consumption, and virtual water flows. Additionally, we highlight metrics that have been developed to assess the vulnerability, resiliency, sustainability, and equity of sub-national water footprints and domestic virtual water flows. We highlight opportunities for future research.
Collapse
|
17
|
Abstract
Agricultural production is the main consumer of water. Future population growth, income growth, and dietary shifts are expected to increase demand for water. The paper presents a brief review of the water footprint of crop production and the sustainability of the blue water footprint. The estimated global consumptive (green plus blue) water footprint ranges from 5938 to 8508 km3/year. The water footprint is projected to increase by as much as 22% due to climate change and land use change by 2090. Approximately 57% of the global blue water footprint is shown to violate the environmental flow requirements. This calls for action to improve the sustainability of water and protect ecosystems that depend on it. Some of the measures include increasing water productivity, setting benchmarks, setting caps on the water footprint per river basin, shifting the diets to food items with low water requirements, and reducing food waste.
Collapse
|
18
|
Rauw WM, Rydhmer L, Kyriazakis I, Øverland M, Gilbert H, Dekkers JCM, Hermesch S, Bouquet A, Gómez Izquierdo E, Louveau I, Gomez‐Raya L. Prospects for sustainability of pig production in relation to climate change and novel feed resources. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2020; 100:3575-3586. [PMID: 32077492 PMCID: PMC7318173 DOI: 10.1002/jsfa.10338] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 02/01/2020] [Accepted: 02/19/2020] [Indexed: 05/13/2023]
Abstract
Pig production systems provide multiple benefits to humans. However, the global increase in meat consumption has profound consequences for our earth. This perspective describes two alternative scenarios for improving the sustainability of future pig production systems. The first scenario is a high input-high output system based on sustainable intensification, maximizing animal protein production efficiency on a limited land surface at the same time as minimizing environmental impacts. The second scenario is a reduced input-reduced output system based on selecting animals that are more robust to climate change and are better adapted to transform low quality feed (local feeds, feedstuff co-products, food waste) into meat. However, in contrast to the first scenario, the latter scenario results in reduced predicted yields, reduced production efficiency and possibly increased costs to the consumer. National evaluation of the availability of local feed and feedstuff co-product alternatives, determination of limits to feed sourced from international markets, available land for crop and livestock production, desired production levels, and a willingness to politically enforce policies through subsidies and/or penalties are some of the considerations to combine these two scenarios. Given future novel sustainable alternatives to livestock animal protein, it may become reasonable to move towards an added general premium price on 'protein from livestock animals' to the benefit of promoting higher incomes to farmers at the same time as covering the extra costs of, politically enforced, welfare of livestock animals in sustainable production systems. © 2020 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Collapse
Affiliation(s)
- Wendy M Rauw
- Departamento de Mejora Genética AnimalINIAMadridSpain
| | - Lotta Rydhmer
- Department of Animal Breeding and GeneticsSwedish University of Agricultural SciencesUppsalaSweden
| | - Ilias Kyriazakis
- Institute for Global Food Security, Queen's University, Belfast, UK
| | - Margareth Øverland
- Department of Animal and Aquacultural SciencesNorwegian University of Life SciencesÅsNorway
| | - Hélène Gilbert
- GenPhySE, Université de Toulouse, INRAECastanet TolosanFrance
| | | | - Susanne Hermesch
- Animal Genetics and Breeding Unit (a joint venture of NSW Department of PrimaryIndustries and University of New England), University of New EnglandArmidaleAustralia
| | | | | | | | | |
Collapse
|