Gross energy content in intensively managed pastures andsilvopastoral systems in southeast Brazil determined by simulated forage

Due to seasonality, the main factor responsible for low productivity of livestock is the lack of forage nutritional quality in some months of the year. This study evaluated the effects of intensification and integration in animal production systems on the gross energy (GE) content of simulated fora...

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Main Authors: Rolando Pasquini Neto, Althieres José Furtado, Clara Moura Costaridis Diavolemenos, Adibe Luiz Abdala Filho, Flávio Perna Júnior, Patrícia Perondi Anchão Oliveira
Format: Article
Language:English
Published: Instituto de Zootecnia 2022-12-01
Series:Boletim de Indústria Animal
Subjects:
Online Access:https://35.198.24.243/index.php/bia/article/view/1832
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author Rolando Pasquini Neto
Althieres José Furtado
Clara Moura Costaridis Diavolemenos
Adibe Luiz Abdala Filho
Flávio Perna Júnior
Patrícia Perondi Anchão Oliveira
author_facet Rolando Pasquini Neto
Althieres José Furtado
Clara Moura Costaridis Diavolemenos
Adibe Luiz Abdala Filho
Flávio Perna Júnior
Patrícia Perondi Anchão Oliveira
author_sort Rolando Pasquini Neto
collection DOAJ
description Due to seasonality, the main factor responsible for low productivity of livestock is the lack of forage nutritional quality in some months of the year. This study evaluated the effects of intensification and integration in animal production systems on the gross energy (GE) content of simulated forage from September 2019 to September 2020 at Embrapa Southeast Livestock, São Carlos, SP, Brazil. Treatments, with two replicates, were: 1) intensively managed and irrigated Megathyrsus maximus cv. Tanzânia pasture with a high stocking rate, overseeded in the dry season with oats (Avena byzantina) and annual ryegrass (Lolium multiflorum) (IHS); 2) intensively managed rainfed M. maximus cv. Tanzânia pasture with a high stocking rate (RHS); 3) intensively managed rainfed pasture with a mix of Urochloa decumbens cv. Basilisk and Urochloa brizantha cv. Marandu pasture with a moderate stocking rate (RMS); 4) intensively managed silvopastoral system with U. decumbens cv. Basilisk pasture and Brazilian native trees (345 trees ha-1), with a moderate stocking rate (LFS); and 5) extensively managed degraded pasture with a mix of U. brizantha cv. Marandu and U. decumbens cv. Basilisk with a low stocking rate (DP). All pastures were grazed by Nellore steers and submitted to stocking rate adjustments using the "put and take" technique. Stocking was continuous in DP and rotational in IHS, RHS, RMS, and LFS, with stocking cycles of 36 days. All pastures except DP were corrected with P, K, S and micronutrients. Pastures in the IHS and RHS systems were fertilized with 400 kg N ha-1 year-1, and RMS and LFS with 200 kg ha-1 year-1, applied during the rainy season. The IHS system was fertilized with 200 kg ha-1 year-1 during the dry season. Two forage subsamples of all treatments were hand plucked for three consecutive days in each middle season of the year, collected considering the grazing behavior of the animals. Samples were dried in an oven (65 ºC - 72 h), ground to 1 mm in a Wiley mill and subsequently analyzed for GE in a calorimeter. The statistical model considered treatments, seasons and the treatment*season interaction as fixed effects (n = 40) and means were submitted to analysis of variance and comparison by the Fisher test at 5%, using the PROC MIXED procedure of SAS. Significant treatment*season interaction was observed (P=0.0044). In the spring, summer and autumn seasons, higher GE values were found in the treatments with Urochloa spp (LFS, RMS and DP) when compared with those with M. maximus cv. Tanzânia (RHS and IHS) (P<0.05): LFS (4.44 mcal kg-1), RMS (4.34 mcal kg-1) and DP (4.33 mcal kg-1), followed by RHS (4.06 mcal kg-1) and IHS (4.02 mcal kg-1) in spring; RMS and LFS (with 4.27 mcal kg-1 each) and DP (4.23 mcal kg-1), followed by IHS (3.96 mcal kg-1) and RHS (3.93 mcal kg-1) in summer; LFS (4.16 mcal kg-1), RMS (4.15 mcal kg-1) and DP (4.09 mcal kg-1), followed by IHS (3.90 mcal kg-1) and RHS (3.86 mcal kg-1) in autumn. During the winter, in comparison with the RHS system (3.73 mcal kg-1), higher GE values were found in treatments with Urochloa spp. pastures (LFS 4.15 mcal kg-1; RMS 4.13 mcal kg-1; and DP 4.07 mcal kg-1), and in the IHS treatment (4.12 mcal kg-1), possibly due to the overseeding with cool-season forages. These results indicate that treatments with Urochloa spp. were able to maintain high values of GE during all seasons, except for IHS in the winter, while treatments with M. maximus cv. Tanzânia presented lower GE values, regardless of the intensification managements. The lignification process, the reduction in the proportion of leaves and the selective behavior of the animals may have affected the GE content during the seasons, and the overseeding with cool-season forages in the IHS treatment contributed to obtain higher GE values.
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spelling doaj.art-dd309ba5776f416897b4815543dfd1ce2023-08-08T23:39:15ZengInstituto de ZootecniaBoletim de Indústria Animal1981-41002022-12-0179Gross energy content in intensively managed pastures andsilvopastoral systems in southeast Brazil determined by simulated forageRolando Pasquini NetoAlthieres José FurtadoClara Moura Costaridis DiavolemenosAdibe Luiz Abdala FilhoFlávio Perna JúniorPatrícia Perondi Anchão Oliveira Due to seasonality, the main factor responsible for low productivity of livestock is the lack of forage nutritional quality in some months of the year. This study evaluated the effects of intensification and integration in animal production systems on the gross energy (GE) content of simulated forage from September 2019 to September 2020 at Embrapa Southeast Livestock, São Carlos, SP, Brazil. Treatments, with two replicates, were: 1) intensively managed and irrigated Megathyrsus maximus cv. Tanzânia pasture with a high stocking rate, overseeded in the dry season with oats (Avena byzantina) and annual ryegrass (Lolium multiflorum) (IHS); 2) intensively managed rainfed M. maximus cv. Tanzânia pasture with a high stocking rate (RHS); 3) intensively managed rainfed pasture with a mix of Urochloa decumbens cv. Basilisk and Urochloa brizantha cv. Marandu pasture with a moderate stocking rate (RMS); 4) intensively managed silvopastoral system with U. decumbens cv. Basilisk pasture and Brazilian native trees (345 trees ha-1), with a moderate stocking rate (LFS); and 5) extensively managed degraded pasture with a mix of U. brizantha cv. Marandu and U. decumbens cv. Basilisk with a low stocking rate (DP). All pastures were grazed by Nellore steers and submitted to stocking rate adjustments using the "put and take" technique. Stocking was continuous in DP and rotational in IHS, RHS, RMS, and LFS, with stocking cycles of 36 days. All pastures except DP were corrected with P, K, S and micronutrients. Pastures in the IHS and RHS systems were fertilized with 400 kg N ha-1 year-1, and RMS and LFS with 200 kg ha-1 year-1, applied during the rainy season. The IHS system was fertilized with 200 kg ha-1 year-1 during the dry season. Two forage subsamples of all treatments were hand plucked for three consecutive days in each middle season of the year, collected considering the grazing behavior of the animals. Samples were dried in an oven (65 ºC - 72 h), ground to 1 mm in a Wiley mill and subsequently analyzed for GE in a calorimeter. The statistical model considered treatments, seasons and the treatment*season interaction as fixed effects (n = 40) and means were submitted to analysis of variance and comparison by the Fisher test at 5%, using the PROC MIXED procedure of SAS. Significant treatment*season interaction was observed (P=0.0044). In the spring, summer and autumn seasons, higher GE values were found in the treatments with Urochloa spp (LFS, RMS and DP) when compared with those with M. maximus cv. Tanzânia (RHS and IHS) (P<0.05): LFS (4.44 mcal kg-1), RMS (4.34 mcal kg-1) and DP (4.33 mcal kg-1), followed by RHS (4.06 mcal kg-1) and IHS (4.02 mcal kg-1) in spring; RMS and LFS (with 4.27 mcal kg-1 each) and DP (4.23 mcal kg-1), followed by IHS (3.96 mcal kg-1) and RHS (3.93 mcal kg-1) in summer; LFS (4.16 mcal kg-1), RMS (4.15 mcal kg-1) and DP (4.09 mcal kg-1), followed by IHS (3.90 mcal kg-1) and RHS (3.86 mcal kg-1) in autumn. During the winter, in comparison with the RHS system (3.73 mcal kg-1), higher GE values were found in treatments with Urochloa spp. pastures (LFS 4.15 mcal kg-1; RMS 4.13 mcal kg-1; and DP 4.07 mcal kg-1), and in the IHS treatment (4.12 mcal kg-1), possibly due to the overseeding with cool-season forages. These results indicate that treatments with Urochloa spp. were able to maintain high values of GE during all seasons, except for IHS in the winter, while treatments with M. maximus cv. Tanzânia presented lower GE values, regardless of the intensification managements. The lignification process, the reduction in the proportion of leaves and the selective behavior of the animals may have affected the GE content during the seasons, and the overseeding with cool-season forages in the IHS treatment contributed to obtain higher GE values. https://35.198.24.243/index.php/bia/article/view/1832Grazing systemsGross energyintensificationsustainability
spellingShingle Rolando Pasquini Neto
Althieres José Furtado
Clara Moura Costaridis Diavolemenos
Adibe Luiz Abdala Filho
Flávio Perna Júnior
Patrícia Perondi Anchão Oliveira
Gross energy content in intensively managed pastures andsilvopastoral systems in southeast Brazil determined by simulated forage
Boletim de Indústria Animal
Grazing systems
Gross energy
intensification
sustainability
title Gross energy content in intensively managed pastures andsilvopastoral systems in southeast Brazil determined by simulated forage
title_full Gross energy content in intensively managed pastures andsilvopastoral systems in southeast Brazil determined by simulated forage
title_fullStr Gross energy content in intensively managed pastures andsilvopastoral systems in southeast Brazil determined by simulated forage
title_full_unstemmed Gross energy content in intensively managed pastures andsilvopastoral systems in southeast Brazil determined by simulated forage
title_short Gross energy content in intensively managed pastures andsilvopastoral systems in southeast Brazil determined by simulated forage
title_sort gross energy content in intensively managed pastures andsilvopastoral systems in southeast brazil determined by simulated forage
topic Grazing systems
Gross energy
intensification
sustainability
url https://35.198.24.243/index.php/bia/article/view/1832
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