CN116562465A - Beef cattle greenhouse gas total emission prediction method - Google Patents

Beef cattle greenhouse gas total emission prediction method Download PDF

Info

Publication number
CN116562465A
CN116562465A CN202310819353.3A CN202310819353A CN116562465A CN 116562465 A CN116562465 A CN 116562465A CN 202310819353 A CN202310819353 A CN 202310819353A CN 116562465 A CN116562465 A CN 116562465A
Authority
CN
China
Prior art keywords
beef cattle
emission
greenhouse gas
energy
beef
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202310819353.3A
Other languages
Chinese (zh)
Inventor
陈霄
陶韬
苏君明
周佳欣
陈红兵
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jilin Agricultural University
Original Assignee
Jilin Agricultural University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jilin Agricultural University filed Critical Jilin Agricultural University
Priority to CN202310819353.3A priority Critical patent/CN116562465A/en
Publication of CN116562465A publication Critical patent/CN116562465A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Forestry; Mining

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Data Mining & Analysis (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Mathematical Physics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Algebra (AREA)
  • Operations Research (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Agronomy & Crop Science (AREA)
  • Animal Husbandry (AREA)
  • Marine Sciences & Fisheries (AREA)
  • Mining & Mineral Resources (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Quality & Reliability (AREA)
  • Computational Mathematics (AREA)
  • Game Theory and Decision Science (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Development Economics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Fodder In General (AREA)

Abstract

A beef cattle greenhouse gas total emission prediction method relates to the technical field of greenhouse gas emission, and solves the problems that the existing method needs too many economic parameter limiting methods to be applied when predicting the beef cattle greenhouse gas emission, and meanwhile, the cost of detection equipment is high. The method comprises the following steps: based on the problem of rapid prediction of total emission of beef cattle greenhouse gases, establishing a functional relation of greenhouse gas emission; and integrating the functional relationship to construct a greenhouse gas prediction model, wherein the model is used for predicting the greenhouse gas emission of the beef cattle based on the beef cattle scale, the feeding environment and the feed precision. According to the method, the beef cattle greenhouse gas influence factors are used for establishing the prediction model, so that the total emission of greenhouse gases is effectively predicted. The method provided by the invention is used for effectively reducing the emission of greenhouse gases, increasing the sustainability and providing a method reference for pushing beef cattle greenhouse gas emission reduction.

Description

Beef cattle greenhouse gas total emission prediction method
Technical Field
The invention relates to the technical field of greenhouse gas emission, in particular to a beef cattle greenhouse gas total emission prediction method.
Background
Agriculture is the second largest source of greenhouse gas emissions, with livestock being the main source of agricultural greenhouse gases, primarily methane and nitrous oxide. Taking beef cattle greenhouse gas emission as an example, the beef cattle emits methane and nitrous oxide gas in the feeding process, and theoretical reference is provided for realizing the total emission of greenhouse gas.
The existing beef cattle greenhouse gas emission prediction method comprises a life cycle method, an input-output method and an actual measurement method. These methods have certain drawbacks, such as the difficulty in establishing a lifecycle evaluation standard with universality by a lifecycle method, and the possibility of generating an unfair result when comparing greenhouse gas emission conditions in different areas. The input-output method can take into account beef cattle greenhouse gas emissions in the whole economic system, but needs to estimate a plurality of economic parameters, which limit the use of the method, and the actual measurement method uses equipment such as a gas analyzer for measurement, but the method is expensive and needs special technicians to operate. Therefore, it is necessary to design a simple and easy method for predicting total greenhouse gas emissions of beef cattle.
Disclosure of Invention
The invention provides a beef cattle greenhouse gas total emission prediction method, which aims to solve the problems that the existing method needs too many economic parameter limiting methods to be applied when predicting the beef cattle greenhouse gas emission, and the cost of detection equipment is high.
The method for predicting the total emission of beef cattle greenhouse gases is realized by the following steps:
step one, building a functional relation of greenhouse gas emission, wherein the functional relation comprises a correlation function of methane emission and beef cattle scale and feed precision, and a correlation function of nitrous oxide emission and beef cattle scale, feeding environment and feed precision;
integrating the association function established in the first step, constructing a greenhouse gas prediction model, and predicting the greenhouse gas emission of the beef cattle based on the beef cattle scale, the feeding environment and the feeding precision by adopting the prediction model; the predictive model formula is:
wherein->For methane emission, +.>Is nitrous oxide emissions.
In the first step, the correlation function between the methane emission and the beef cattle scale and the feed precision is expressed by the following formula:
wherein->Is of beef cattle type>For the size of beef cattle of different species,the beef cattle are of different beef cattle types; />Is methane conversion factor, < >>For days of the year, < > and->Is the methane energy content.
The correlation function of the nitrous oxide emission amount and the beef cattle scale, the feeding environment and the feed precision construction is expressed as follows:
in which, in the process,is a feeding environment; />The beef cattle head number; />Annual nitrogen excretion rate for beef cattle species; />The total annual nitrogen excretion ratio of beef cattle in the feeding environment is the proportion; />For N in the feeding environment S 2 Emission factor of direct O emission, +.>For feeding environment S, beef cattle manage manure nitrogen through NH 3 And NO x The proportion of volatilization; />For N generated in atmospheric nitrogen deposition of soil and water surface 2 An emission factor of O emissions; />For conversion factor N 2 Conversion of O-N emissions to N 2 O is discharged.
Further, the total energy types of different beef cattle speciesThe following formula is adopted:
in the method, in the process of the invention,to maintain clean energy->For purifying lactation, the drug is added with->For pregnancy with clear energy, ->To grow net energy, add->For maintaining the ratio of net energy to consumed digestible energy in beef cattle ration,/I->The ratio of net energy for growth to digestible energy consumed in beef cattle ration is->The proportion of the total energy for the digestibility of beef cattle.
Further, the net energy of growthThe formula is adopted as follows: />Wherein->Is the weight of beef cattle, is->Is average weight of beef cattle in middle period>For average daily gain of beef cattle>Is the beef cattle transformation coefficient.
The maintenance of clean energyExpressed by the formula: />The present invention relates to a method for manufacturing a semiconductor deviceIn (I)>For default value, ++>Is the average weight of beef cattle.
The pregnancy net energyExpressed by the formula: />Wherein->Is pregnancy coefficient;
lactation clean energyExpressed by the formula: />Wherein->In order to produce the milk in an amount,is the milk fat percentage.
Further, the ratio REM of net energy to consumed digestible energy available in the beef ration is expressed as:
the ratio REG of net energy available for growth to digestible energy consumed in the beef ration is expressed as follows:
further, the annual nitrogen excretion rate of beef cattle species is expressed as:in which, in the process,for daily consumption of nitrogen in beef cattle, +.>Daily nitrogen content for beef cattle.
The daily consumption of nitrogen by the beef cattle is formulated as:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->Is the percentage of crude protein in the ration.
The daily nitrogen retention of the beef cattle is formulated as:
in the method, in the process of the invention,for average daily gain of beef cattle>The energy is purified for growth.
The invention has the beneficial effects that:
according to the prediction method, the prediction model is built by using beef cattle greenhouse gas influence factors, so that the total emission of greenhouse gases is effectively predicted.
The prediction method of the invention provides a method reference for effectively reducing greenhouse gas emission, increasing sustainability and promoting beef cattle greenhouse gas emission reduction.
Drawings
Fig. 1 is a flowchart of a beef cattle greenhouse gas total emission prediction method according to the invention.
FIG. 2 is a schematic diagram of total emission of beef cattle greenhouse gases.
Detailed Description
The present embodiment will be described with reference to fig. 1 and 2, which is a method for predicting total emission of beef cattle greenhouse gases, comprising the steps of:
step one, based on the problem of rapid prediction of total emission of beef cattle greenhouse gases, a functional relation of greenhouse gas emission is established, as shown in fig. 2, according to the relation function established by beef cattle scale and feed precision: methane emissions; and (3) according to a relation function established by beef cattle scale, feed precision and feeding environment: nitrous oxide emissions; the methane emission and nitrous oxide emission constitute a total emission;
the total energy types of different beef cattle include growth net energy, maintenance net energy, gestation net energy, lactation net energy, the ratio of available maintenance net energy to consumed digestible energy in beef cattle ration, and the ratio of available growth net energy to consumed digestible energy in beef cattle ration; wherein, the growth net energy, the maintenance net energy, the pregnancy net energy and the lactation net energy form the beef cattle scale. The ratio of net energy available to be maintained to consumed digestible energy in beef cattle ration and the ratio of net energy available to be grown to consumed digestible energy in beef cattle ration form feed precision. Nitrous oxide emissions constitute the feeding environment. The daily consumption of nitrogen by beef cattle and the daily retention of nitrogen by beef cattle constitute the annual nitrogen excretion rate of beef cattle species.
In this embodiment, the correlation function between the methane emission and the beef cattle scale and the feed precision is expressed by the following formula:
wherein->Is of beef cattle type>For different beef cattle sizes, +.>The beef cattle are of different beef cattle types; />Is methane conversion factor, < >>For days of the year, < > and->Is the methane energy content.
The total energy types of the different beef cattle species are represented by the following formula:
in the method, in the process of the invention,indicating maintenance of clean energy, < >>Indicating lactation clean energy, ->Indicates pregnancy net energy, ->Indicating growth net energy,/->Represents the ratio of net energy to consumed digestible energy in beef ration, < >>Represents the ratio of net energy available for growth to digestible energy consumed in beef ration, < >>Indicating the proportion of the total energy of the beef cattle digestible energy.
The net energy of growthExpressed by the formula: />Wherein->Indicates the weight of beef cattle, < > and>represents average weight of beef cattle in mid-term->Represents beef conversion factor,/->Represents the average daily gain of beef cattle.
The maintenance of clean energyExpressed by the formula: />Wherein->Representing default values +.>Mean weight of beef cattle.
The pregnancy net energyExpressed by the formula: />Wherein->Represents the coefficient of pregnancy and,indicating the maintenance net energy of the beef cattle.
Lactation clean energyUsing a formula tableThe method is shown as follows: />Wherein->Indicating milk yield,/->The milk fat percentage is shown.
The ratio REM of net energy to consumed digestible energy available in the beef ration is expressed as:
in the method, in the process of the invention,indicating the proportion of the total energy of the beef cattle digestible energy.
The ratio REG of net energy available for growth to digestible energy consumed in the beef ration is expressed as:
in the method, in the process of the invention,indicating the proportion of the total energy of the beef cattle digestible energy.
The correlation function of the nitrous oxide emission amount and the beef cattle scale, the feeding environment and the feed precision construction is expressed as follows:
in the method, in the process of the invention,is a feeding environment; />Is meatNiu Toushu; />Annual nitrogen excretion rate for beef cattle species; />The total annual nitrogen excretion ratio of beef cattle in the feeding environment is the proportion; />For N in the feeding environment S 2 The emission factor of the direct emission of O,for feeding environment S, beef cattle manage manure nitrogen through NH 3 And NO x The proportion of volatilization; />For N generated in atmospheric nitrogen deposition of soil and water surface 2 An emission factor of O emissions; />For conversion factor N 2 Conversion of O-N emissions to N 2 O is discharged.
The annual nitrogen excretion rate of beef cattle species is expressed as:wherein->Represents the daily consumption of nitrogen by beef cattle, +.>Indicating the daily amount of nitrogen retained by the beef cattle.
The daily consumption of nitrogen by the beef cattle is formulated as:
wherein->Represents the percentage of crude protein in the ration.
The daily nitrogen retention of the beef cattle is formulated as:
in the method, in the process of the invention,represents average daily gain of beef cattle,/->Indicating net energy of growth.
In the embodiment, a greenhouse gas prediction model is constructed through an integrated functional relationship, and the model is used for rapidly predicting the greenhouse gas emission of the beef cattle based on the beef cattle scale, the feeding environment and the feed precision data.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the invention, which are described in detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.

Claims (8)

1. A beef cattle greenhouse gas total emission prediction method is characterized by comprising the following steps: the method is realized by the following steps:
step one, building a functional relation of greenhouse gas emission, wherein the functional relation comprises a correlation function of methane emission and beef cattle scale and feed precision, and a correlation function of nitrous oxide emission and beef cattle scale, feeding environment and feed precision;
integrating the association function established in the first step, constructing a greenhouse gas prediction model, and predicting the greenhouse gas emission of the beef cattle based on the beef cattle scale, the feeding environment and the feeding precision by adopting the prediction model; the predictive model formula is:
the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->For methane emission, +.>Is nitrous oxide emissions.
2. The beef cattle greenhouse gas total emission prediction method according to claim 1, wherein: in the first step, the correlation function established between the methane emission and the beef cattle scale and the feed precision is expressed by the following formula:
wherein->Is of beef cattle type>For different beef cattle sizes, +.>The beef cattle are of different beef cattle types; />Is methane conversion factor, < >>For days of the year, < > and->Is the methane energy content;
the correlation function of the nitrous oxide emission amount and the beef cattle scale, the feeding environment and the feed precision construction is expressed as follows:
wherein->Is a feeding environment; />The beef cattle head number; />Annual nitrogen excretion rate for beef cattle species; />The total annual nitrogen excretion ratio of beef cattle in the feeding environment is the proportion; />For N in the feeding environment S 2 Emission factor of direct O emission, +.>For feeding environment S, beef cattle manage manure nitrogen through NH 3 And NO x The proportion of volatilization; />For N generated in atmospheric nitrogen deposition of soil and water surface 2 An emission factor of O emissions; />For conversion factor N 2 Conversion of O-N emissions to N 2 O is discharged.
3. The beef cattle greenhouse gas total emission prediction method according to claim 2, wherein: said total energy types of different beef cattle speciesThe following formula is adopted: />
In the method, in the process of the invention,to maintain clean energy->For purifying lactation, the drug is added with->For pregnancy with clear energy, ->To grow net energy, add->For maintaining the ratio of net energy to consumed digestible energy in beef cattle ration,/I->The ratio of net energy for growth to digestible energy consumed in beef cattle ration is->The proportion of the total energy for the digestibility of beef cattle.
4. A beef cattle greenhouse gas total emission prediction method according to claim 3, wherein: the net energy of growthThe formula is adopted as follows: />Wherein->For the weight of the beef cattle,is average weight of beef cattle in middle period>For average daily gain of beef cattle>Is the beef cattle transformation coefficient;
the maintenance of clean energyExpressed by the formula: />Wherein->For default value, ++>Is the average weight of beef cattle;
the pregnancy net energyExpressed by the formula: />Wherein->Is pregnancy coefficient;
lactation clean energyExpressed by the formula: />Wherein->For milk yield, add->Is the milk fat percentage.
5. A beef cattle greenhouse gas total emission prediction method according to claim 3, wherein: the ratio REM of net energy to consumed digestible energy available in the beef ration is expressed as:
the ratio REG of net energy available for growth to digestible energy consumed in the beef ration is expressed as follows:
6. the beef cattle greenhouse gas total emission prediction method according to claim 2, wherein: the annual nitrogen excretion rate of beef cattle species is expressed as:wherein->For daily consumption of nitrogen in beef cattle, +.>Daily nitrogen content for beef cattle.
7. The method for predicting total greenhouse gas emissions of beef cattle of claim 6, wherein: the daily consumption of nitrogen by the beef cattle is formulated as:
in the method, in the process of the invention,is the percentage of crude protein in the ration.
8. The method for predicting total greenhouse gas emissions of beef cattle of claim 6, wherein: the daily nitrogen retention of the beef cattle is formulated as:
in the method, in the process of the invention,for average daily gain of beef cattle>The energy is purified for growth.
CN202310819353.3A 2023-07-06 2023-07-06 Beef cattle greenhouse gas total emission prediction method Pending CN116562465A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310819353.3A CN116562465A (en) 2023-07-06 2023-07-06 Beef cattle greenhouse gas total emission prediction method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310819353.3A CN116562465A (en) 2023-07-06 2023-07-06 Beef cattle greenhouse gas total emission prediction method

Publications (1)

Publication Number Publication Date
CN116562465A true CN116562465A (en) 2023-08-08

Family

ID=87493247

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310819353.3A Pending CN116562465A (en) 2023-07-06 2023-07-06 Beef cattle greenhouse gas total emission prediction method

Country Status (1)

Country Link
CN (1) CN116562465A (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200309758A1 (en) * 2017-09-01 2020-10-01 Leibniz-Institut Für Nutztierbiologie Prediction method for methane (ch4) emission of a dairy cow
CN115718746A (en) * 2022-05-16 2023-02-28 南开大学 Rice field methane emission prediction method based on machine learning
CN116090639A (en) * 2023-01-17 2023-05-09 中国科学院地理科学与资源研究所 Method and device for predicting total process greenhouse gas emission of agricultural land system
CN116128161A (en) * 2023-04-12 2023-05-16 南京农业大学 Agricultural land carbon emission prediction method and system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200309758A1 (en) * 2017-09-01 2020-10-01 Leibniz-Institut Für Nutztierbiologie Prediction method for methane (ch4) emission of a dairy cow
CN115718746A (en) * 2022-05-16 2023-02-28 南开大学 Rice field methane emission prediction method based on machine learning
CN116090639A (en) * 2023-01-17 2023-05-09 中国科学院地理科学与资源研究所 Method and device for predicting total process greenhouse gas emission of agricultural land system
CN116128161A (en) * 2023-04-12 2023-05-16 南京农业大学 Agricultural land carbon emission prediction method and system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
孙亚男,刘继军,马宗虎: "规模化奶牛场温室气体排放量评估", 《农业工程学报》, vol. 26, no. 6, pages 296 - 300 *
董红敏,林而达,杨其长: "中国反刍动物甲烷排放量的初步估算及减缓技术", 农村生态环境 (学报), vol. 11, no. 3, pages 4 - 7 *

Similar Documents

Publication Publication Date Title
Arogo et al. A review of ammonia emissions from confined swine feeding operations
Wallace et al. Life on a fast pad: waterlily leaf beetle impact on water lilies
Fraser et al. Mixed grazing systems benefit both upland biodiversity and livestock production
Krom et al. Nutrient budget of a marine fish pond in Eilat, Israel
Nicola et al. Growth pattern of stream-dwelling brown trout under contrasting thermal conditions
Philippe et al. Effects of available surface on gaseous emissions from group-housed gestating sows kept on deep litter
Bhutkar et al. Effect of non-genetic factors on production traits in Deoni cows
Ledgard et al. Managing mineral N leaching in grassland systems
Brown et al. Oxygen metabolism of farmed turbot (Scophthalmus maximus): I. the influence of fish size and water temperature on metabolic rate
Rutegwa et al. Carbon metabolism and nutrient balance in a hypereutrophic semi-intensive fishpond
CN116562465A (en) Beef cattle greenhouse gas total emission prediction method
Sawa et al. Effect of first lactation milk yield on efficiency of cows in herds with different production levels
CN110800655A (en) Indoor factory full-season breeding method for micropterus salmoides
Cloy et al. Impacts of agriculture upon greenhouse gas budgets
Tefera et al. Analysis of lifetime traits for crossbred dairy cattle in the central highland of Ethiopia
Pamula Optimization on survival and growth rate of African catfish (Clarias sp.) using water spinach (Ipomoea aquatica)-based aquaponics system
김태훈 Developing country specific enteric methane emission factors of the South Korean dairy cattle production using the 2019 refined IPCC Tier 2 methodology
Wójcik-Gront Territorial analysis of agricultural greenhouse gas emission in Poland
CN118633544B (en) Digital operation information management system for bull station
Nagata Nitrogen flow through a Brachionus/Chlorella mass culture system
Sterligova et al. Species-colonizers in the water systems of Karelia
CN112243895B (en) Efficient artificial spawning induction method for female cynoglossus semilaevis
Beck et al. 123 Overview of Forage Nutritive Quality and Availability in Relation to Cattle Needs during the Fall Transition Period in the Southeastern US
Singh et al. Resilience of livestock production under varying climates
Paller The influence of biomanipulation on fish community development in a southeastern United States cooling reservoir

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20230808