|
|
Registro completo
|
Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
21/02/2014 |
Actualizado : |
22/02/2014 |
Autor : |
Zimmer, A.H. ; Pimentel, D. Monteiro ; Valle, C. Borges do ; Seiffert, N. F. |
Título : |
Aspetos práticos ligados a formacao de pastagens |
Fecha de publicación : |
1983 |
Fuente / Imprenta : |
Campo Grande (Brasil): CNPGC, 1983. |
Páginas : |
42p. |
Serie : |
Circular Técnica (CNPGC) |
Idioma : |
Español |
Thesagro : |
MANEJO DEL SUELO; MEJORA DE PASTIZALES; PASTIZALES; TRATAMIENTO DE SEMILLAS. |
Asunto categoría : |
-- |
Marc : |
LEADER 00574nam a2200205 a 4500 001 1039384 005 2014-02-22 008 1983 bl uuuu u00u1 u #d 100 1 $aZIMMER, A.H. 245 $aAspetos práticos ligados a formacao de pastagens 260 $aCampo Grande (Brasil): CNPGC$c1983 300 $a42p. 490 $aCircular Técnica (CNPGC) 650 $aMANEJO DEL SUELO 650 $aMEJORA DE PASTIZALES 650 $aPASTIZALES 650 $aTRATAMIENTO DE SEMILLAS 700 1 $aPIMENTEL, D. MONTEIRO 700 1 $aVALLE, C. BORGES DO 700 1 $aSEIFFERT, N. F.
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA La Estanzuela (LE) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
Registro completo
|
Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
14/03/2022 |
Actualizado : |
14/03/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
IRISARRI, J.G.N.; DURANTE, M.; DERNER, J.D.; OESTERHELD, M.; AUGUSTINE, D.J. |
Afiliación : |
JORGE GONZALO N. IRISARRI, Sustainable Agriculture Sciences, Rothamsted Research, North Wyke, Okehampton EX20 2SB, UK; MARTÍN DURANTE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Estación Experimental Agropecuaria Concepción del Uruguay, Instituto Nacional de Tecnología Agropecuaria (INTA), Concepcion del Uruguay 3260, Argentina; JUSTIN D. DERNER, USDA-Agricultural Research Service (ARS), Rangeland Resources and Systems Research Unit, Cheyenne, WY 82009, USA; MARTIN OESTERHELD, Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura, Buenos Aires 1417, Argentina; DAVID J. AUGUSTINE, USDA-Agricultural Research Service (ARS), Rangeland Resources and Systems Research Unit, Fort Collins, CO 80526, USA. |
Título : |
Remotely sensed spatiotemporal variation in crude protein of shortgrass steppe forage. |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
Remote Sensing, 2022, Volume 14, Issue 4, Article number 854. OPEN ACCESS. doi: https://doi.org/10.3390/rs14040854 |
ISSN : |
2072-4292 |
DOI : |
10.3390/rs14040854 |
Idioma : |
Inglés |
Notas : |
Article history: Received: 4 January 2022; Revised: 28 January 2022; Accepted: 9 February 2022; Published: 11 February 2022.
Academic Editors: Matthew Reeves, Humberto L. Perotto-Baldivieso, Luciano A. Gonzalez and Edward C. Rhodes.
Corresponding author: Irisarri, J.G.N.; Sustainable Agriculture Sciences, Rothamsted Research, North Wyke, Okehampton, United Kingdom; email:gonzalo.irisarri@rothamsted.ac.uk -- This article belongs to the Special Issue Applications of Remote Sensing for Livestock and Grazing Land Management: https://www.mdpi.com/journal/remotesensing/special_issues/Grazing_Land_Management --
Supplementary Materials: https://www.mdpi.com/article/10.3390/rs14040854/s1 |
Contenido : |
ABSTRACT.- In the Great Plains of central North America, sustainable livestock production is dependent on matching the timing of forage availability and quality with animal intake demands. Advances in remote sensing technology provide accurate information for forage quantity. However, similar efforts for forage quality are lacking. Crude protein (CP) content is one of the most relevant forage quality determinants of individual animal intake, especially below an 8% threshold for growing animals. In a set of shortgrass steppe paddocks with contrasting botanical composition, we (1) modeled the spatiotemporal variation in field estimates of CP content against seven spectral MODIS bands, and (2) used the model to assess the risk of reaching the 8% CP content threshold during the grazing season for paddocks with light, moderate, or heavy grazing intensities for the last 22 years (2000?2021). Our calibrated model explained up to 69% of the spatiotemporal variation in CP content. Different from previous investigations, our model was partially independent of NDVI, as it included the green and red portions of the spectrum as direct predictors of CP content. From 2000 to 2021, the model predicted that CP content was a limiting factor for growth of yearling cattle in 80% of the years for about 60% of the mid-May to October grazing season. The risk of forage quality being below the CP content threshold increases as the grazing season progresses, suggesting that ranchers across this rangeland region could benefit from remotely sensed CP content to proactively remove yearling cattle earlier than the traditional October date or to strategically provide supplemental protein sources to grazing cattle. MenosABSTRACT.- In the Great Plains of central North America, sustainable livestock production is dependent on matching the timing of forage availability and quality with animal intake demands. Advances in remote sensing technology provide accurate information for forage quantity. However, similar efforts for forage quality are lacking. Crude protein (CP) content is one of the most relevant forage quality determinants of individual animal intake, especially below an 8% threshold for growing animals. In a set of shortgrass steppe paddocks with contrasting botanical composition, we (1) modeled the spatiotemporal variation in field estimates of CP content against seven spectral MODIS bands, and (2) used the model to assess the risk of reaching the 8% CP content threshold during the grazing season for paddocks with light, moderate, or heavy grazing intensities for the last 22 years (2000?2021). Our calibrated model explained up to 69% of the spatiotemporal variation in CP content. Different from previous investigations, our model was partially independent of NDVI, as it included the green and red portions of the spectrum as direct predictors of CP content. From 2000 to 2021, the model predicted that CP content was a limiting factor for growth of yearling cattle in 80% of the years for about 60% of the mid-May to October grazing season. The risk of forage quality being below the CP content threshold increases as the grazing season progresses, suggesting that ranchers across this range... Presentar Todo |
Palabras claves : |
Crude protein threshold; Forage quality; MOD09A1; Remote sensing; Risk assessment; Semi-arid environment; Shortgrass rangeland. |
Asunto categoría : |
-- |
URL : |
https://www.mdpi.com/2072-4292/14/4/854/pdf
|
Marc : |
LEADER 03289naa a2200289 a 4500 001 1062825 005 2022-03-14 008 2022 bl uuuu u00u1 u #d 022 $a2072-4292 024 7 $a10.3390/rs14040854$2DOI 100 1 $aIRISARRI, J.G.N. 245 $aRemotely sensed spatiotemporal variation in crude protein of shortgrass steppe forage.$h[electronic resource] 260 $c2022 500 $aArticle history: Received: 4 January 2022; Revised: 28 January 2022; Accepted: 9 February 2022; Published: 11 February 2022. Academic Editors: Matthew Reeves, Humberto L. Perotto-Baldivieso, Luciano A. Gonzalez and Edward C. Rhodes. Corresponding author: Irisarri, J.G.N.; Sustainable Agriculture Sciences, Rothamsted Research, North Wyke, Okehampton, United Kingdom; email:gonzalo.irisarri@rothamsted.ac.uk -- This article belongs to the Special Issue Applications of Remote Sensing for Livestock and Grazing Land Management: https://www.mdpi.com/journal/remotesensing/special_issues/Grazing_Land_Management -- Supplementary Materials: https://www.mdpi.com/article/10.3390/rs14040854/s1 520 $aABSTRACT.- In the Great Plains of central North America, sustainable livestock production is dependent on matching the timing of forage availability and quality with animal intake demands. Advances in remote sensing technology provide accurate information for forage quantity. However, similar efforts for forage quality are lacking. Crude protein (CP) content is one of the most relevant forage quality determinants of individual animal intake, especially below an 8% threshold for growing animals. In a set of shortgrass steppe paddocks with contrasting botanical composition, we (1) modeled the spatiotemporal variation in field estimates of CP content against seven spectral MODIS bands, and (2) used the model to assess the risk of reaching the 8% CP content threshold during the grazing season for paddocks with light, moderate, or heavy grazing intensities for the last 22 years (2000?2021). Our calibrated model explained up to 69% of the spatiotemporal variation in CP content. Different from previous investigations, our model was partially independent of NDVI, as it included the green and red portions of the spectrum as direct predictors of CP content. From 2000 to 2021, the model predicted that CP content was a limiting factor for growth of yearling cattle in 80% of the years for about 60% of the mid-May to October grazing season. The risk of forage quality being below the CP content threshold increases as the grazing season progresses, suggesting that ranchers across this rangeland region could benefit from remotely sensed CP content to proactively remove yearling cattle earlier than the traditional October date or to strategically provide supplemental protein sources to grazing cattle. 653 $aCrude protein threshold 653 $aForage quality 653 $aMOD09A1 653 $aRemote sensing 653 $aRisk assessment 653 $aSemi-arid environment 653 $aShortgrass rangeland 700 1 $aDURANTE, M. 700 1 $aDERNER, J.D. 700 1 $aOESTERHELD, M. 700 1 $aAUGUSTINE, D.J. 773 $tRemote Sensing, 2022, Volume 14, Issue 4, Article number 854. OPEN ACCESS. doi: https://doi.org/10.3390/rs14040854
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA Las Brujas (LB) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
Expresión de búsqueda válido. Check! |
|
|