Research article

Consumption, digestibility and cattle condition according to forage composition and quality in maize-cattle from conservation-based agroecosystems

  • Received: 12 April 2020 Accepted: 05 August 2020 Published: 10 August 2020
  • The cereal-cattle conservation-based agroecosystems in neotropical savannas are based on the introduction of a forage of better quality than that of the native pasture. This forage acts as a soil protective coverage under non-tillage managements and like green manure to the maize culture. In order to evaluate how the consumption by bovine, digestibility and animal condition changes in these agroecosystems, we study, during a grazing cycle (110 days in the dry season), the following: total aerial biomass (TAB), green leaf biomass (GLB), fiber content of the leaves (lignin, ADF and NDF), botanic composition of the cattle excreta by microhistological analysis, N-NH3 content in the cattle rumen and the presence of urea in blood. The introduced species were Brachiaria dyctioneura grass (Bd) and Centrosema macrocarpum legume (Cm), both perennials, associated to maize for 4 years of non-tillage management and alternative phosphorus sources. During the grazing period, the level of N-NH3 in the rumen was 12.1 mg/L and 16.6 mg/L in the animals of the agroecosystems Bd and Cm, respectively. In the case of urea in blood, the concentration was significantly higher under legume (24.6 mg/dL) compared to the grass (9.7 mg/dL). Daily weight gain favored Bd (0.68 kg/d) > Cm (0.29 kg/d) > NS (−0.006 kg/d). Body condition was significantly higher in introduced pastures compared to NS. At this time, the microhistological studies of the cattle excreta showed a significant variation of the Bd and Cm consumption, selecting as second option Andropogon gayanus and maize (Zea mays) residues in a higher percentage, depending of the dominant cover crop. Thus, the digestibility was related to the appearance frequency of these species (p < 0.01). The GLB of Cm decreased significantly during the grazing. At the same time, the lignin content increased in both cover crops, influencing the consumption, digestibility and daily weight gain (DWG) of the cattle in the agroecosystems, compared to savanna ecosystem.

    Citation: Elizabeth Ramírez-Iglesias, Rosa M. Hernández-Hernández, Carlos Bravo, José R. Ramírez-Iglesias, Pablo Herrera. Consumption, digestibility and cattle condition according to forage composition and quality in maize-cattle from conservation-based agroecosystems[J]. AIMS Agriculture and Food, 2020, 5(3): 480-499. doi: 10.3934/agrfood.2020.3.480

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  • The cereal-cattle conservation-based agroecosystems in neotropical savannas are based on the introduction of a forage of better quality than that of the native pasture. This forage acts as a soil protective coverage under non-tillage managements and like green manure to the maize culture. In order to evaluate how the consumption by bovine, digestibility and animal condition changes in these agroecosystems, we study, during a grazing cycle (110 days in the dry season), the following: total aerial biomass (TAB), green leaf biomass (GLB), fiber content of the leaves (lignin, ADF and NDF), botanic composition of the cattle excreta by microhistological analysis, N-NH3 content in the cattle rumen and the presence of urea in blood. The introduced species were Brachiaria dyctioneura grass (Bd) and Centrosema macrocarpum legume (Cm), both perennials, associated to maize for 4 years of non-tillage management and alternative phosphorus sources. During the grazing period, the level of N-NH3 in the rumen was 12.1 mg/L and 16.6 mg/L in the animals of the agroecosystems Bd and Cm, respectively. In the case of urea in blood, the concentration was significantly higher under legume (24.6 mg/dL) compared to the grass (9.7 mg/dL). Daily weight gain favored Bd (0.68 kg/d) > Cm (0.29 kg/d) > NS (−0.006 kg/d). Body condition was significantly higher in introduced pastures compared to NS. At this time, the microhistological studies of the cattle excreta showed a significant variation of the Bd and Cm consumption, selecting as second option Andropogon gayanus and maize (Zea mays) residues in a higher percentage, depending of the dominant cover crop. Thus, the digestibility was related to the appearance frequency of these species (p < 0.01). The GLB of Cm decreased significantly during the grazing. At the same time, the lignin content increased in both cover crops, influencing the consumption, digestibility and daily weight gain (DWG) of the cattle in the agroecosystems, compared to savanna ecosystem.


    Graph theory was introduced by Leonhard Euler for obtaining solution of the mathematical problem named "Seven Bridge of Königsberg" in 1736 [4]. The practices of the theory are used in the solution of many complex problems of modern life. Topology is an important branch of mathematics because of its contribution to the other branches of mathematics. Recently, the topology has been used as the appropriate frame for all sets connected by relations. Because rough sets and graphs are also based relational combinations, the topological structures of rough sets [2] and relation between rough sets and graphs are studied by some researchers [5,6,8].

    An interesting research topic in graph theory is to study graph theory by means of topology. Some researches have created topologies from graphs using various methods. In 2013, M. Amiri et. al. have created a topology using vertices of an undirected graph [3]. In 2018, K.A. Abdu and A. Kılıçman have investigated the topologies generated by directed graphs [1].

    In this paper, we aim at studying to create a topological space by using a simple undirected graph without isolated vertices. We present some properties of the topology that we create by using such graphs. We show that a topology can be generated by every simple undirected graph without isolated vertices. Moreover, we examine the topologies generated by using certain graphs. We define an equivalence relation on the set of the graphs with same vertices set. Finally, we give necessary and sufficient condition for continuity and openness of functions defined from one graph to another by using the topologies generated by these graphs. As a result of this, we present condition for the topological spaces generated by two different graphs to be homeomorphic.

    In this section, some fundamental definitions and theorems related to the graph theory, approximation spaces and topological spaces used in the work are presented.

    Definition 1. [4] A graph is an ordered pair of (U(G),E(G)), where U(G) is set of vertices, E(G) is set of edges linking to any unordered pair of vertices of G. If e is an edge linking to the vertices u and v, then it is said e links to vertices u and v. u and v called as ends of e. Moreover, it is said that these vertices are adjacent. A set of pairwise non-adjacent vertices of a graph is called an independent set. If the set of edges and vertices of a graph are finite, this graph is a finite graph. An edge whose ends are only one vertice is called a loop. An edge with distinct ends is a link.

    Definition 2. [4] A graph is called simple graph, if there is at most one edge linking to arbitrary two vertices of the graph and it has not a loop.

    Definition 3. [4] Let G=(U,E) be a graph. If vertices set U can divided into two subsets A and B so that each edge of G has one end in A and one end in B, G is called bipartite graph. In other words, a graph G is bipartite iff vertices set U of G can divided into two independent sets.

    Definition 4. [4] A walk is a sequence of finite number of adjacent vertices such that v0e1v1e2v2...ekvk in a graph G=(U,E). A walk that each edge and vertice is used at most one time is called a path.

    Definition 5. [4] A cycle is a path with the same starting and ending point and it is denoted with Cn.

    Theorem 1. [7] Let X be a nonempty set and β be a class of subsets of X. If following conditions are satisfied, the collection β is a base just for one topology.

    1. X=BβB

    2. For B1β and B2β, the set B1B2 is union of some set belonging to β.

    Definition 6. Let G=(U,E) be a graph. Then the set of vertices becoming adjacent to a vertice u is called adjacency of u and it is denoted AG(u). Minimal adjacency of u is defined as

    [u]G=uAG(v)AG(v).

    Theorem 2. Let G=(U,E) be a simple undirected graph without isolated vertices. Then the class βG={[u]G:uU} is a base for a topology on U.

    Proof. Firstly, we shall show that uU[u]G=U. From definition of [u]G, u[u]G is obtained for every uU. Since the graph G is a graph without isolated vertices, the class {[u]G:uU} covers to the set U. That is,

    uU[u]G=U.

    Secondly, we shall show that there exists VU such that [u]G[v]G=wVU[w]G, for every [u]G, [v]GβG. Let [u]G,[v]GβG. Then [u]G[v]G= or [u]G[v]G. If [u]G[v]G=, it is seen that [u]G[v]G=w[w]G since w[w]G=. If [u]G[v]G, there exists at least one wU such that w[u]G[v]G. Then w belongs to both [u]G and [v]G. Since w[u]G, it is seen that wAG(t), for all tU such that uAG(t). Similarly, since w[v]G, it is seen that wAG(t), for all tU such that vAG(t).

    Hence,  wAG(t) and wAG(t)wAG(t)AG(t)

    wAG(t)AG(t)[w]G        (Since w[w]G)wwVU[w]G.           (V=AG(t)AG(t)

    Then it is obtained that

    [u]G[v]GwVU[w]G (3.1)

    On the other hand,

    kwAG(t)AG(t)[w]Gk[w]G, for wAG(t)AG(t)
    kwAG(w)AG(w)kAG(w), for all wAG(w)kAG(t)AG(t)kuAG(t)AG(t) and kvAG(t)AG(t)k[u]G and k[v]Gk[u]G[v]G.

    Then it is obtained that

    wAG(t)AG(t)[w]G[u]G[v]G. (3.2)

    Therefore, the following equation is obtained from (3.1) and (3.2):

    [u]G[v]G=wAG(t)AG(t)[w]G.

    Consequently, βG is a base for a topology on U.

    Corollary 1. Each simple undirected graph without isolated vertices creates a topology on vertices set of the graph.

    Definition 7. Let G=(U,E) be a simple undirected graph without isolated vertices. Then the topology generated by βG={[u]G:uU} is called the topology generated by the graph G. This topology is in the form of:

    τG={GU:G=[u]GβG[u]G,uVU}.

    Here, the class of closed sets of this topology is in the form of:

    KG={Gc:GτG}.

    Example 1. The graph whose vertices set is U={x,y,z,t,u,v} is given in Figure 1.

    Figure 1.  The Graph G.

    The minimal adjacencies of each vertice are as follows:

    [x]G={x,z},[y]G={y,t},[z]G={z},[t]G={t},[u]G={z,u},[v]G={t,v}.

    Thus,

    βG={{z},{t},{x,z},{y,t},{z,u},{t,v}}

    and

    τG={U,,{z},{t},{x,z},{y,t},{z,u},{t,v},{z,t},{y,z,t},{z,t,v},{x,z,t},{z,t,u},{x,y,z,t},{x,z,u},{x,z,t,v},{y,z,t,u},{y,t,v},{x,z,t,u},{x,y,z,t,u},{x,y,z,t,v},{y,z,t,v},{z,t,u,v},{x,z,t,u,v},y,z,t,u,v}}.

    τG is topology generated by G. The class of closed sets of this topology is

    KG={U,,{x,y,t,u,v},{x,y,z,u,v},{y,t,u,v},{x,z,u,v},{x,y,t,v},{x,y,z,u},{x,y,u,v},{x,u,v},{x,y,u},{y,u,v},{x,y,v},{u,v},{y,t,v},{y,u},{x,v},{x,z,u},{y,v},{v},{u},{x,u},{x,y},{y},{x}}.

    Class of both open and closed sets is as follows:

    CO(U)={U,,{x,z,u},{y,t,v}}.

    Here, it is seen that both open and closed sets different from U and are {x,z,u} and {y,t,v}. Moreover, the graph G is bipartite and these sets are independent sets whose intersection is and union is U.

    Theorem 3. Let KA,B=(U,E) be a complete bipartite graph. Then the topology generated by KA,B is a quasi-discrete topology.

    Proof. Since KA,B is a bipartite graph, AB= and AB=U. For every xU, xA or xB. Let xA. Since KA,B is a complete bipartite graph, we have AKA,B(x)=B and [x]KA,B=A. Let xB. Then we have AKA,B(x)=A and [x]KA,B=B. Hence, the base of the topology generated by KA,B is as follows:

    βKA,B={A,B}.

    Therefore, the topology generated by KA,B is as follows:

    τKA,B={A,B,,U}.

    τKA,B is a quasi-discrete topology on U.

    Theorem 4. Let Kn=(U,E) be a complete graph, where U={v1,v2,...,vn}. Then the topology generated by Kn is discrete topology on U.

    Proof. The minimal neighborhoods of vertices set U={v1,v2,...,vn} are as follows respectively:

    [v1]G={v1},[v2]G={v2},...,[vn]G={vn}.

    Therefore,

    βKn={{vn}:vnU}

    and the topology generated by Kn is as follows:

    τKn=P(U).

    It is seen that τKn is discrete topology on U.

    Example 2. Let us investigate the topological space generated by C5 given Figure 2 whose vertices set is U={v1,v2,v3,v4,v5}.

    Figure 2.  The Graph C5.

    The adjacencies of the vertices of the cycle C5 are as follows:

    AG(v1)={v2,v5},AG(v2)={v1,v3},AG(v3)={v2,v4},AG(v4)={v3,v5},AG(v5)={v1,v4}.

    The minimal adjacencies of the vertices of the cycle C5 are as follows:

    [v1]G=v1AG(u)AG(u)={v1},[v2]G={v2},[v3]G={v3},[v4]G={v4},[v5]G={v5}.

    Thus,

    βC5={{v1},{v2},{v3},{v4},{v5}}.

    The class βC5 is a base for the discrete topology on U. Thus, the topological space generated by this graph is discrete topological space on U.

    Theorem 5. Let Cn=(U,E) be a cycle whose vertices set is U={v1,v2,...,vn}, where n3 (n4). Then the topological space generated by the cycle Cn=(U,E) is a discrete topological space.

    Proof. The graph Cn is as in Figure 3.

    Figure 3.  The Graph Cn.

    The adjacencies of the vertices of the cycle Cn are as follows:

    AG(v1)={vn,v2},AG(v2)={v1,v3},AG(v3)={v2,v4},...,AG(vn1)={vn2,vn},AG(vn)={vn1,v1}.

    The minimal adjacencies of the vertices of the cycle Cn are as follows:

    [v1]G=v1AG(vi)AG(vi)={v1},[v2]G=v2AG(vi)AG(vi)={v2},...,[vn1]G=vn1AG(vi)AG(vi)={vn1},[vn]G=vnAG(vi)AG(vi)={vn}.

    Thus, we have

    βCn={{vn}:VnU}.

    The class βCn is a base for discrete topology on U. Thus, it is seen that the topological space generated by the graph Cn is the discrete topological space on U.

    When we assume n=4, the graph C4 is a complete bipartite graph. The topological space generated the graph C4 whose vertices set is U={v1,v2,v3,v4} is τC4={U,,{v1,v4},{v2,v3}}. This topology is not discrete topology, but it is quasi-discrete topology.

    Remark 1. Two different graph G and Gwith same vertices set can create the same topology. It is seen clearly that although the graphs Kn and Cn with same vertices set is different these graphs create same topology.

    Theorem 6. Let G be set of all simple undirected graphs whose vertices set is U={v1,v2,...,vn} without isolated vertices. The relation defined on G as "G1G2τG1=τG2" is a equivalence relation.

    Proof. ⅰ) Since τG1=τG1,G1G1

    ⅱ) Let G1G2.From definition "∼", it is seen that τG1=τG2. Since τG2=τG1, we obtain that G2G1.

    ⅲ) Let G1G2 and G2G3. Then it is seen that τG1=τG2and τG2=τG3. Thus, we obtain that τG1=τG3. Consequently, we obtain that G1G3.

    Since G is symmetric, transitive and reflexive, it is an equivalence relation.

    Theorem 7. Let G=(U,E) and G=(U,E)\ be two graphs without isolated vertices. Let τG and τG be the topologies generated by G and G respectively and f:(U,τG)(U,τG) be a function. Then f is continuous iff for every uU,

    f([u]G)[f(u)]G.

    Proof. Let f:(U,τG)(U,τG) be a continuous function. Then βG={[u]G:uU} and βG={[u]G:uU} are bases of topologies τG and τG, respectively. Since f is continuous, there is BβG such that f(B)[f(u)]G for every uU. [u]G is the minimal element containing u of βG. Thus, it is obtained that

    f([u]G)[f(u)]G.

    Conversely, let f([u]G)[f(u)]G for every uU. It is seen that [f(u)]GβGf(v), for every uU. Since f([u]G)[f(u)]G and [u]GβGv, the function f is a continuous function.

    Example 3. Let us investigate the graphs G=(U,E) and G=(U,E) is given in Figure 4. Let f:(U,τG)(U,τG) be a function defined by

    f(x)=f(z)=a,f(l)=b,f(y)=c,f(t)=d,f(k)=e.
    Figure 4.  The Graphs G and G.

    The minimal adjacencies of vertices of G are follows:

    [x]G={x,z},[y]G={y,l},[z]G={x,z},[t]G={t},[l]G={l},[k]G={k}.

    The minimal adjacencies of vertices of G are as follows:

    [a]G={a,d},[b]G={b},[c]G={b,c},[d]G={d},[e]G={e}.

    It is seen that f([v]G)[f(v)]G, for every vU. Therefore, f is a continuous function.

    Corollary 2. Let f:(U,τKn)(U,τG) be arbitrary function, where Kn=(U,E) is a complete graph and G=(U,E) is arbitrary graph. Then f is continuous function.

    Theorem 8. Let G=(U,E) and G=(U,E) be two simple undirected graphs without isolated vertice and τG and τG the topologies generated by this graphs, respectively. Let f:(U,τG)(U,τG) be a function. Then f is open function iff for every uU,

    [f(u)]Gf([u]G).

    Proof. Let f:(U,τG)(U,τG) be an open function. Then f([u]G) is an open subset of U for every [u]GβG. It is obtained that

    f(u)[f(u)]Gf([u]G).

    Therefore, we have

    [f(u)]Gf([u]G).

    Conversely, Let [f(u)]Gf([u]G), for every uU. It is seen that for every uU,

    f(u)[f(u)]Gf([u]G).

    Thus, f([u]G) is an open subset of U. Consequently, we can say f is an open function.

    From above theorem, it is seen that an open function may not continuous and a continuous function may also not be open. Now we give a necessary and sufficient condition for a function to be continuous and open.

    Theorem 9. Let G=(U,E) and G=(U,E) be simple undirected two graphs without isolated vertices and τG and τG the topologies generated by this graphs, respectively. Let f:(U,τG)(U,τG) be a function. Then f is a open and continuous function iff for every uU,

    [f(u)]G=f([u]G).

    Proof. It is clearly seen from Theorem 3.6 and Theorem 3.7.

    Corollary 3. Let G=(U,E) and G=(U,E) be simple undirected two graphs without isolated vertice and τG and τGthe topologies generated by this graphs, respectively. Let f:(U,τG)(U,τG)\ be a function. Then f is a homeomorphism iff f is a bijection that for every uU,

    [f(u)]G=f([u]G).

    In this paper it is shown that topologies can be generated by simple undirected graphs without isolated vertices. It is studied topologies generated by certain graphs. Therefore, it is seen that there is a topology generated by every simple undirected graph without isolated vertices. Properties proved by these generated topologies are presented. An equivalence of the graphs with same vertices set is defined. Finally, necessary and sufficient condition is given for continuity and openness of a function defined to another graph from one graph. This enables us to determine whether these topological spaces is homeomorphic without needing to find the topological spaces generated by two graphs.

    The first author would like to thank TUBITAK (The Scientific and Technological Research Council of Turkey) for their financial supports during her PhD studies.

    The authors declare that they have no competing interest.



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