Key factors that influence for seasonal production of Guinea grass
Main Author: | |
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Publication Date: | 2018 |
Other Authors: | , , |
Format: | Article |
Language: | eng |
Source: | Scientia Agrícola (Online) |
Download full: | https://www.revistas.usp.br/sa/article/view/142945 |
Summary: | Climate, soil and management are the main drives for growth and production of tropical pastures. Thus, a better understanding of the effects of these factors and their interactions under climate conditions is required to obtain effective management options. Here, we used data from two field trials to research on climate and management interactions on the production seasonality of Panicum maximum Jacq. Treatments included four sampling times (250, 500, 750, and 1000 °C accumulated) during eight regrowth period, under irrigated and rainfed conditions and, cuts were made to simulate grazing intensity. All treatments were arranged in a completely randomized block design with four replications. At each sampling time, basal tillers were sampled to observe meristematic differentiation and were linked with the respective daylength. Soil moisture was determined, and the water availability index (WAI) was calculated. The dry matter production (DMP) was taken and relative productivity was calculated. Soil moisture was the key seasonal drive in spring-summer and the WAI could be used to adjust the maximum production for that season. The major drive for DMP in fall was the daylength, which was found at 11.81 h. For all seasons, DMP correlated better with the residues in early regrowth phase (r = 0.82 and p < 0.0001) and with degree-days at final regrowth phase (r = 0.73 p < 0.01). Applying these critical values to management guidelines should make Guinea grass DMP more efficient on tropical farms. |
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Key factors that influence for seasonal production of Guinea grassdaylengthdegree-daysmombaçatropical foragewater deficit Climate, soil and management are the main drives for growth and production of tropical pastures. Thus, a better understanding of the effects of these factors and their interactions under climate conditions is required to obtain effective management options. Here, we used data from two field trials to research on climate and management interactions on the production seasonality of Panicum maximum Jacq. Treatments included four sampling times (250, 500, 750, and 1000 °C accumulated) during eight regrowth period, under irrigated and rainfed conditions and, cuts were made to simulate grazing intensity. All treatments were arranged in a completely randomized block design with four replications. At each sampling time, basal tillers were sampled to observe meristematic differentiation and were linked with the respective daylength. Soil moisture was determined, and the water availability index (WAI) was calculated. The dry matter production (DMP) was taken and relative productivity was calculated. Soil moisture was the key seasonal drive in spring-summer and the WAI could be used to adjust the maximum production for that season. The major drive for DMP in fall was the daylength, which was found at 11.81 h. For all seasons, DMP correlated better with the residues in early regrowth phase (r = 0.82 and p < 0.0001) and with degree-days at final regrowth phase (r = 0.73 p < 0.01). Applying these critical values to management guidelines should make Guinea grass DMP more efficient on tropical farms.Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2018-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/14294510.1590/1678-992x-2016-0413Scientia Agricola; v. 75 n. 3 (2018); 191-196Scientia Agricola; Vol. 75 No. 3 (2018); 191-196Scientia Agricola; Vol. 75 Núm. 3 (2018); 191-1961678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/142945/137807Copyright (c) 2018 Scientia Agricolainfo:eu-repo/semantics/openAccessAraujo, Leandro Coelho deSantos, Patricia MenezesRodriguez, DanielPezzopane, José Ricardo Macedo2018-02-01T17:04:55Zoai:revistas.usp.br:article/142945Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2018-02-01T17:04:55Scientia Agrícola (Online) - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Key factors that influence for seasonal production of Guinea grass |
title |
Key factors that influence for seasonal production of Guinea grass |
spellingShingle |
Key factors that influence for seasonal production of Guinea grass Araujo, Leandro Coelho de daylength degree-days mombaça tropical forage water deficit |
title_short |
Key factors that influence for seasonal production of Guinea grass |
title_full |
Key factors that influence for seasonal production of Guinea grass |
title_fullStr |
Key factors that influence for seasonal production of Guinea grass |
title_full_unstemmed |
Key factors that influence for seasonal production of Guinea grass |
title_sort |
Key factors that influence for seasonal production of Guinea grass |
author |
Araujo, Leandro Coelho de |
author_facet |
Araujo, Leandro Coelho de Santos, Patricia Menezes Rodriguez, Daniel Pezzopane, José Ricardo Macedo |
author_role |
author |
author2 |
Santos, Patricia Menezes Rodriguez, Daniel Pezzopane, José Ricardo Macedo |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Araujo, Leandro Coelho de Santos, Patricia Menezes Rodriguez, Daniel Pezzopane, José Ricardo Macedo |
dc.subject.por.fl_str_mv |
daylength degree-days mombaça tropical forage water deficit |
topic |
daylength degree-days mombaça tropical forage water deficit |
description |
Climate, soil and management are the main drives for growth and production of tropical pastures. Thus, a better understanding of the effects of these factors and their interactions under climate conditions is required to obtain effective management options. Here, we used data from two field trials to research on climate and management interactions on the production seasonality of Panicum maximum Jacq. Treatments included four sampling times (250, 500, 750, and 1000 °C accumulated) during eight regrowth period, under irrigated and rainfed conditions and, cuts were made to simulate grazing intensity. All treatments were arranged in a completely randomized block design with four replications. At each sampling time, basal tillers were sampled to observe meristematic differentiation and were linked with the respective daylength. Soil moisture was determined, and the water availability index (WAI) was calculated. The dry matter production (DMP) was taken and relative productivity was calculated. Soil moisture was the key seasonal drive in spring-summer and the WAI could be used to adjust the maximum production for that season. The major drive for DMP in fall was the daylength, which was found at 11.81 h. For all seasons, DMP correlated better with the residues in early regrowth phase (r = 0.82 and p < 0.0001) and with degree-days at final regrowth phase (r = 0.73 p < 0.01). Applying these critical values to management guidelines should make Guinea grass DMP more efficient on tropical farms. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-05-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/sa/article/view/142945 10.1590/1678-992x-2016-0413 |
url |
https://www.revistas.usp.br/sa/article/view/142945 |
identifier_str_mv |
10.1590/1678-992x-2016-0413 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/sa/article/view/142945/137807 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 Scientia Agricola info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 Scientia Agricola |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz |
publisher.none.fl_str_mv |
Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz |
dc.source.none.fl_str_mv |
Scientia Agricola; v. 75 n. 3 (2018); 191-196 Scientia Agricola; Vol. 75 No. 3 (2018); 191-196 Scientia Agricola; Vol. 75 Núm. 3 (2018); 191-196 1678-992X 0103-9016 reponame:Scientia Agrícola (Online) instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Scientia Agrícola (Online) |
collection |
Scientia Agrícola (Online) |
repository.name.fl_str_mv |
Scientia Agrícola (Online) - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
scientia@usp.br||alleoni@usp.br |
_version_ |
1787713260976340992 |