2020
DOI: 10.1016/j.agsy.2019.102716
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Sward height determines pasture production and animal performance in a long-term soybean-beef cattle integrated system

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Cited by 40 publications
(45 citation statements)
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“…In this context, grazing intensity is pivotal to define the productivity and the sustainability of ICLS enterprises [9]. It directly influences plant leaf area and light interception by pasture canopy, affecting plant growth and structural characteristics, such as leaf/stem ratio, botanical composition, and tillering dynamics of pasture species [10].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In this context, grazing intensity is pivotal to define the productivity and the sustainability of ICLS enterprises [9]. It directly influences plant leaf area and light interception by pasture canopy, affecting plant growth and structural characteristics, such as leaf/stem ratio, botanical composition, and tillering dynamics of pasture species [10].…”
Section: Introductionmentioning
confidence: 99%
“…As plant cell wall content increases, indigestible lignin accumulates in older tissues of the post-flowering stage [15], affecting dry matter (DM) intake and digestibility [16]. Thus, depending on the length of the stocking period (especially under continuous stocking method, when animal grazing is season-long) [9], animals may find different forage compositions over time, possibly resulting in different dung composition, degradation and nutrient release rates over the same stocking period.…”
Section: Introductionmentioning
confidence: 99%
“…O conjunto de covariáveis a serem utilizadas para compor os modelos foi determinado através da significância de cada covariável obtida a partir do teste de alimentação que permitam maior eficiência de coleta de alimento condicionam maiores ganhos, tanto no ponto de vista produtivo ao animal quanto do sistema como um todo (MEZZALIRA et al, 2017;GONÇALVES et al, 2018;KUNRATH, et al, 2020).…”
Section: Methodsunclassified
“…The specialized system utilizes the same black oat/Italian ryegrass cover crop mixture as the integrated system but it is left ungrazed, a typical management practice in this region for the purposes of soil protection during the winter and biomass production for no-till operations. Key ongoing experimental measures taken over the 18+ years of the experiment include (1) soil attributes such as bulk density and porosity (Cecagno et al, 2016), carbon and nitrogen fractions and pools (Assmann et al, 2015), pH (Martins et al, 2016b), moisture content (Martins et al, 2016a), and aggregation (Conte et al, 2011); (2) soybean crop attributes such as aboveground biomass accumulation (da Silva et al, 2014), residue (Assmann et al, 2015), leaf water potential (Martins et al, 2016a), and initial population density, yields, and yield components (Kunrath et al, 2015); (3) winter cover crop attributes such as spatial heterogeneity (Nunes et al, 2018), sward height, residue, forage allowance, and total aboveground biomass accumulation (Kunrath et al, 2020); and (4) livestock attributes such as forage intake (de Souza Filho et al, 2019), live weight (LW) gain (Carvalho et al, 2018), and manure distribution (da Silva et al, 2014).…”
Section: Experimental and System Detailsmentioning
confidence: 99%